Foundation Capital

Regie.ai is a developer of an AI-powered platform that focuses on enhancing sales engagement and automating outbound prospecting. Its product, RegieOne, combines various functionalities such as sales engagement, parallel dialing, data enrichment, and intent analysis, allowing operations teams to manage their processes efficiently from a centralized interface. Additionally, Regie.ai's platform facilitates the creation, testing, and analysis of personalized sales campaigns, thereby improving engagement and optimizing the performance of frontline sales teams. Through its innovative approach, Regie.ai aims to streamline sales workflows and drive better outcomes for businesses.

Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.

SafelyYou, Inc. is a technology company based in Berkeley, California, founded in 2015, that specializes in artificial intelligence software designed for managed Alzheimer's care. The company focuses on fall prevention by utilizing a camera system installed in patients' rooms to detect falls in real time and alert caregivers. Its AI-enabled technology analyzes patterns and signs that may indicate a potential fall, allowing for proactive intervention. SafelyYou's solutions aim to enhance the safety and well-being of individuals with Alzheimer's and other forms of dementia, facilitating improved medication adherence, behavioral monitoring, and overall care management in skilled nursing facilities and assisted living communities. By reducing the frequency and impact of falls, SafelyYou contributes to lowering hospitalization rates among this vulnerable population.

AI or Not is a company specializing in the detection of AI-generated content across various media, including images, audio, and KYC identity documents. The company's platform employs advanced machine learning algorithms and deep neural networks to assess digital content, determining its authenticity and whether it is likely to have been created by artificial intelligence. This capability is essential for professionals seeking to prevent the spread of misinformation, safeguard intellectual property, and uphold trust and credibility in online communications. Through its innovative technology, AI or Not addresses the growing need for reliable verification tools in an increasingly digital world.

NEX enables you to construct fine-tuned, continually trained, or built-from-scratch AI models for creative applications that your entire team can use.

Anvilogic, Inc. is a cybersecurity company based in Palo Alto, California, founded in 2019. It specializes in developing a detection automation platform designed to enhance automated threat detection and modernize security operations. Anvilogic's offerings include a modular detection engine, a collection of curated threat scenarios, and an AI security copilot, all of which help security teams improve detection coverage and reduce costs. The platform allows organizations to maintain their existing Security Information and Event Management (SIEM) systems while integrating a scalable and cost-effective data lake for high-volume data sources. This approach minimizes the need for extensive changes in existing processes, enabling security operations teams in various sectors, including banking and technology, to effectively accelerate the identification and triage of threats.

HumanX focuses on AI serves as a catalyst for enterprises to identify realistic solutions in the rapidly changing AI field.

Ikigai Labs specializes in developing an artificial intelligence-driven platform that streamlines analytics workflows for modern analysts and operations teams. The platform facilitates automation in data-intensive business processes, finance, analytics, and supply-chain operations, eliminating the need for traditional methods like VLOOKUPs. With features such as interactive drag-and-drop dashboards and automated scheduling of data pipelines, Ikigai Labs enables data operators to efficiently manage tasks with minimal errors. Additionally, the company's Inventory Ops solution enhances inventory tracking and monitoring by providing a real-time, unified view of inventory across various locations and channels, down to the component level. This comprehensive approach allows organizations to optimize their operations and improve decision-making through effective data management.

Fairmatic specializes in data-driven fleet insurance that emphasizes safety and cost savings. By leveraging artificial intelligence and extensive telematics data, the company provides a predictive risk model that conducts real-time safety analyses. This approach allows Fairmatic to generate safety ratings and offer customized insurance packages for commercial fleets. By focusing on proactive safety management, Fairmatic enables clients to reduce their insurance costs while promoting safer driving practices, ultimately contributing to safer roads and enhanced profitability for businesses.

EvolutionIQ is a company focused on transforming the insurance industry through its artificial intelligence-driven claims guidance platform. The platform is designed specifically for disability and general liability carriers, enhancing claims processing efficiency and productivity tracking. By reducing reserves and losses, cycle times, and adverse events, it helps lower operational expenses while boosting customer satisfaction. Additionally, EvolutionIQ's technology includes a fraud detection dashboard that identifies fraud trends, making the insurance process more fair, transparent, and affordable for clients. With its innovative approach, the company aims to significantly improve the overall claims management experience for insurance carriers.

Regie.ai is a developer of an AI-powered platform that focuses on enhancing sales engagement and automating outbound prospecting. Its product, RegieOne, combines various functionalities such as sales engagement, parallel dialing, data enrichment, and intent analysis, allowing operations teams to manage their processes efficiently from a centralized interface. Additionally, Regie.ai's platform facilitates the creation, testing, and analysis of personalized sales campaigns, thereby improving engagement and optimizing the performance of frontline sales teams. Through its innovative approach, Regie.ai aims to streamline sales workflows and drive better outcomes for businesses.

Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.

Fairmatic specializes in data-driven fleet insurance that emphasizes safety and cost savings. By leveraging artificial intelligence and extensive telematics data, the company provides a predictive risk model that conducts real-time safety analyses. This approach allows Fairmatic to generate safety ratings and offer customized insurance packages for commercial fleets. By focusing on proactive safety management, Fairmatic enables clients to reduce their insurance costs while promoting safer driving practices, ultimately contributing to safer roads and enhanced profitability for businesses.

Anvilogic, Inc. is a cybersecurity company based in Palo Alto, California, founded in 2019. It specializes in developing a detection automation platform designed to enhance automated threat detection and modernize security operations. Anvilogic's offerings include a modular detection engine, a collection of curated threat scenarios, and an AI security copilot, all of which help security teams improve detection coverage and reduce costs. The platform allows organizations to maintain their existing Security Information and Event Management (SIEM) systems while integrating a scalable and cost-effective data lake for high-volume data sources. This approach minimizes the need for extensive changes in existing processes, enabling security operations teams in various sectors, including banking and technology, to effectively accelerate the identification and triage of threats.

Tingono specializes in machine learning software aimed at helping companies retain and expand their revenue. The company utilizes automated machine learning to analyze various business signals, identifying indicators of customer churn and opportunities for expansion. By transforming these insights into actionable strategies, Tingono enables businesses to engage with customers effectively and at the optimal time, thereby enhancing revenue retention and scaling operational impact. This approach allows companies to proactively address churn risks and capitalize on growth opportunities, ultimately driving improved financial performance.

Regie.ai is a developer of an AI-powered platform that focuses on enhancing sales engagement and automating outbound prospecting. Its product, RegieOne, combines various functionalities such as sales engagement, parallel dialing, data enrichment, and intent analysis, allowing operations teams to manage their processes efficiently from a centralized interface. Additionally, Regie.ai's platform facilitates the creation, testing, and analysis of personalized sales campaigns, thereby improving engagement and optimizing the performance of frontline sales teams. Through its innovative approach, Regie.ai aims to streamline sales workflows and drive better outcomes for businesses.

CropSafe is an innovative online platform that leverages satellite imagery to accurately identify and predict crop diseases, offering tailored relief solutions directly to landowners. In addition to disease detection, the company has developed a grain management tool that assists farmers in determining the optimal prices for selling their grain. By providing comprehensive grain data from various locations across the continental United States, CropSafe empowers farmers to make informed decisions, maximizing their profit potential when selling their harvests.

EvolutionIQ is a company focused on transforming the insurance industry through its artificial intelligence-driven claims guidance platform. The platform is designed specifically for disability and general liability carriers, enhancing claims processing efficiency and productivity tracking. By reducing reserves and losses, cycle times, and adverse events, it helps lower operational expenses while boosting customer satisfaction. Additionally, EvolutionIQ's technology includes a fraud detection dashboard that identifies fraud trends, making the insurance process more fair, transparent, and affordable for clients. With its innovative approach, the company aims to significantly improve the overall claims management experience for insurance carriers.

Amper Technologies, Inc. is a Chicago-based company founded in 2016 that develops a clip-on device designed to help factory owners and managers analyze power consumption, predict machine downtime, and implement predictive maintenance. The company provides a comprehensive solution that includes both hardware and software, featuring non-invasive sensors, an Internet-connected gateway, and web dashboards. This technology enables plant managers to monitor various machine types, thereby enhancing productivity and overall equipment effectiveness (OEE). Amper's real-time monitoring and analytics tools allow manufacturing teams to identify root causes of issues, optimize operations, and reduce production losses. The solution is user-friendly and can be deployed quickly across different machines, empowering operators and managers with actionable data to improve performance and meet production targets.

Ikigai Labs specializes in developing an artificial intelligence-driven platform that streamlines analytics workflows for modern analysts and operations teams. The platform facilitates automation in data-intensive business processes, finance, analytics, and supply-chain operations, eliminating the need for traditional methods like VLOOKUPs. With features such as interactive drag-and-drop dashboards and automated scheduling of data pipelines, Ikigai Labs enables data operators to efficiently manage tasks with minimal errors. Additionally, the company's Inventory Ops solution enhances inventory tracking and monitoring by providing a real-time, unified view of inventory across various locations and channels, down to the component level. This comprehensive approach allows organizations to optimize their operations and improve decision-making through effective data management.

Insurate is a managing general agent (MGA) focused on workers' compensation insurance, utilizing data science and predictive analytics to enhance risk assessment. The company aims to provide a fair and transparent underwriting process by identifying businesses that exhibit a lower risk profile than the industry average. By matching these safer companies with competitive rates, Insurate enables clients to achieve substantial savings on their annual workers' compensation policies. Additionally, Insurate specializes in accommodating hard-to-place codes, assisting agents in writing and retaining business more effectively.

Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.

SafelyYou, Inc. is a technology company based in Berkeley, California, founded in 2015, that specializes in artificial intelligence software designed for managed Alzheimer's care. The company focuses on fall prevention by utilizing a camera system installed in patients' rooms to detect falls in real time and alert caregivers. Its AI-enabled technology analyzes patterns and signs that may indicate a potential fall, allowing for proactive intervention. SafelyYou's solutions aim to enhance the safety and well-being of individuals with Alzheimer's and other forms of dementia, facilitating improved medication adherence, behavioral monitoring, and overall care management in skilled nursing facilities and assisted living communities. By reducing the frequency and impact of falls, SafelyYou contributes to lowering hospitalization rates among this vulnerable population.

Anvilogic, Inc. is a cybersecurity company based in Palo Alto, California, founded in 2019. It specializes in developing a detection automation platform designed to enhance automated threat detection and modernize security operations. Anvilogic's offerings include a modular detection engine, a collection of curated threat scenarios, and an AI security copilot, all of which help security teams improve detection coverage and reduce costs. The platform allows organizations to maintain their existing Security Information and Event Management (SIEM) systems while integrating a scalable and cost-effective data lake for high-volume data sources. This approach minimizes the need for extensive changes in existing processes, enabling security operations teams in various sectors, including banking and technology, to effectively accelerate the identification and triage of threats.

Shelf Engine is a Seattle-based company that offers an automated prediction platform aimed at reducing food waste in the grocery industry. Launched in 2015, the company utilizes machine learning and historical data to forecast demand for perishable goods, enabling grocery stores to optimize their orders and minimize out-of-stock situations. By managing the entire ordering process, including vendor management and shelf optimization, Shelf Engine helps retailers save costs and mitigate risks associated with unsold inventory by buying back remaining items. With over 145 employees, Shelf Engine serves leading grocers across thousands of locations nationwide, significantly increasing their profit margins while addressing the challenges of food waste.

DataJoy is a developer of a revenue intelligence platform that integrates various organizational data to enhance revenue growth. By employing machine learning algorithms, the platform unifies data from marketing, sales, product, and finance, providing valuable insights for future projections and performance tracking. This functionality allows companies to detect anomalies in key performance indicators, ultimately facilitating faster growth in annual recurring revenue. DataJoy aims to help businesses build a repeatable and profitable revenue model by leveraging data-driven insights.

Anvilogic, Inc. is a cybersecurity company based in Palo Alto, California, founded in 2019. It specializes in developing a detection automation platform designed to enhance automated threat detection and modernize security operations. Anvilogic's offerings include a modular detection engine, a collection of curated threat scenarios, and an AI security copilot, all of which help security teams improve detection coverage and reduce costs. The platform allows organizations to maintain their existing Security Information and Event Management (SIEM) systems while integrating a scalable and cost-effective data lake for high-volume data sources. This approach minimizes the need for extensive changes in existing processes, enabling security operations teams in various sectors, including banking and technology, to effectively accelerate the identification and triage of threats.

Shelf Engine is a Seattle-based company that offers an automated prediction platform aimed at reducing food waste in the grocery industry. Launched in 2015, the company utilizes machine learning and historical data to forecast demand for perishable goods, enabling grocery stores to optimize their orders and minimize out-of-stock situations. By managing the entire ordering process, including vendor management and shelf optimization, Shelf Engine helps retailers save costs and mitigate risks associated with unsold inventory by buying back remaining items. With over 145 employees, Shelf Engine serves leading grocers across thousands of locations nationwide, significantly increasing their profit margins while addressing the challenges of food waste.

Arize AI, Inc. is a technology company that specializes in a platform designed for monitoring and troubleshooting production artificial intelligence (AI) and machine learning models. Founded in 2020 and headquartered in Mill Valley, California, Arize AI provides a machine learning observability platform that utilizes real-time analytics to deliver insights for operational teams. This platform enables clients to quickly identify and resolve issues, enhance model performance, and reduce uncertainty in AI deployments. By leveraging advanced artificial intelligence technology, Arize AI empowers organizations to improve their AI systems continuously, facilitating better decision-making and operational efficiency.

EvolutionIQ is a company focused on transforming the insurance industry through its artificial intelligence-driven claims guidance platform. The platform is designed specifically for disability and general liability carriers, enhancing claims processing efficiency and productivity tracking. By reducing reserves and losses, cycle times, and adverse events, it helps lower operational expenses while boosting customer satisfaction. Additionally, EvolutionIQ's technology includes a fraud detection dashboard that identifies fraud trends, making the insurance process more fair, transparent, and affordable for clients. With its innovative approach, the company aims to significantly improve the overall claims management experience for insurance carriers.

SafelyYou, Inc. is a technology company based in Berkeley, California, founded in 2015, that specializes in artificial intelligence software designed for managed Alzheimer's care. The company focuses on fall prevention by utilizing a camera system installed in patients' rooms to detect falls in real time and alert caregivers. Its AI-enabled technology analyzes patterns and signs that may indicate a potential fall, allowing for proactive intervention. SafelyYou's solutions aim to enhance the safety and well-being of individuals with Alzheimer's and other forms of dementia, facilitating improved medication adherence, behavioral monitoring, and overall care management in skilled nursing facilities and assisted living communities. By reducing the frequency and impact of falls, SafelyYou contributes to lowering hospitalization rates among this vulnerable population.

Shelf Engine is a Seattle-based company that offers an automated prediction platform aimed at reducing food waste in the grocery industry. Launched in 2015, the company utilizes machine learning and historical data to forecast demand for perishable goods, enabling grocery stores to optimize their orders and minimize out-of-stock situations. By managing the entire ordering process, including vendor management and shelf optimization, Shelf Engine helps retailers save costs and mitigate risks associated with unsold inventory by buying back remaining items. With over 145 employees, Shelf Engine serves leading grocers across thousands of locations nationwide, significantly increasing their profit margins while addressing the challenges of food waste.

AutoGrid is a company that specializes in energy data management and big data analytics to enhance the efficiency of energy delivery. Founded in 2011 at Stanford University, AutoGrid develops a suite of applications aimed at managing distributed energy resources (DERs) in real time. These applications allow utilities, electricity retailers, and energy service providers to optimize energy distribution by leveraging vast amounts of data from smart meters, sensors, and third-party sources. By employing advanced algorithms and data science techniques, AutoGrid enables clients to monitor, predict, and control energy assets across global networks, ultimately facilitating the delivery of clean, affordable, and reliable energy. The team comprises skilled software architects, engineers, data scientists, and energy experts dedicated to addressing critical challenges in the energy sector.

Custora is a leader in advanced customer analytics tailored for the retail sector. The company offers a Customer Intelligence Platform that equips marketing leaders with the insights needed to achieve immediate results while fostering long-term profitability. This platform creates a comprehensive view of each customer and employs predictive analytics to identify key customer segments and paths. Additionally, it provides actionable recommendations aimed at enhancing customer lifetime value, addressing the practical challenges faced by marketing professionals. By leveraging data science, Custora enables brands to better understand customer behavior and develop strategic marketing initiatives that enhance the relevance and effectiveness of their communications.

QuanticMind Inc. develops a predictive advertising management software that focuses on optimizing paid search, social media, display, and mobile advertising. Founded in 2011 and based in Redwood City, California, the company has established itself as a pioneer in the field by utilizing advanced technologies such as machine learning, distributed cloud computing, and in-memory processing. QuanticMind's platform integrates cross-channel and third-party data to provide actionable insights for advertisers, enabling them to make informed decisions and maximize their advertising performance. Additionally, QuanticMind offers services including data quality assurance, technical support, and training to enhance user experience and effectiveness. The company serves a global community of data-driven marketers who rely on its innovative solutions to improve their advertising strategies.

Bountiful is an agtech company founded in 2015 and based in San Francisco, California, that specializes in developing a platform for yield forecasting and actionable insights for farmers. The company employs advanced technologies, including machine learning, to analyze weather, satellite, geographic, and historical data, allowing farmers to access real-time analytics and yield forecasts months before harvest at various levels, including country, state, region, and field. Bountiful aims to eliminate uncertainty in crop production by providing transparent insights that enable farmers to optimize their operations. Additionally, the Bountiful Marketplace facilitates direct sales between farmers and vetted buyers, allowing farmers to market their products based on precise forecasts through multi-year contracts.

KONUX GmbH, founded in 2014 and based in Munich, Germany, specializes in the development of Industrial Internet of Things (IIoT) solutions that integrate smart sensor systems with artificial intelligence-based analytics. The company's offerings include switch monitoring, asset monitoring, rolling stock monitoring, anomaly detection, and predictive analytics, all aimed at enhancing railway and industrial operations. By providing real-time monitoring and predictive maintenance capabilities, KONUX helps clients improve the reliability, capacity, and cost-efficiency of their railway systems. The company has expanded its reach across multiple countries in Europe and Asia and has been recognized by the World Economic Forum as one of the world's most innovative start-ups. With over $130 million raised from leading investors, KONUX is committed to modernizing railroad operations and contributing to a sustainable future in mobility.

Opas AI is a company focused on developing artificial intelligence solutions for root cause analysis in information technology. The company's platform automates the identification of critical production issues by continuously monitoring and logging data. This technology not only collects relevant information but also triggers alerts, enabling engineers to receive definitive answers to complex production challenges. By streamlining the troubleshooting process, Opas AI enhances operational efficiency and helps organizations address issues more effectively.

Unanimous A.I., Inc. specializes in swarm artificial intelligence software solutions that harness collective human intelligence to enhance decision-making and predictions. Founded in 2014 and headquartered in San Francisco, the company offers two primary products: Swarm Insight and Swarm IQ. Swarm Insight enables organizations to gather and analyze consumer insights more accurately than traditional methods, while Swarm IQ enhances the predictive capabilities of business teams, improving forecasts and evaluations. By merging real-time human input with AI algorithms, Unanimous A.I. creates dynamic systems that keep people involved in the decision-making process, rather than replacing them with automated solutions. This innovative approach has garnered recognition, including awards at the SXSW Interactive Innovation Awards. With additional offices in locations such as Arlington, San Luis Obispo, Chicago, and Washington, the company aims to transform how organizations harness collective intelligence for various applications, from marketing to finance.

AutoGrid is a company that specializes in energy data management and big data analytics to enhance the efficiency of energy delivery. Founded in 2011 at Stanford University, AutoGrid develops a suite of applications aimed at managing distributed energy resources (DERs) in real time. These applications allow utilities, electricity retailers, and energy service providers to optimize energy distribution by leveraging vast amounts of data from smart meters, sensors, and third-party sources. By employing advanced algorithms and data science techniques, AutoGrid enables clients to monitor, predict, and control energy assets across global networks, ultimately facilitating the delivery of clean, affordable, and reliable energy. The team comprises skilled software architects, engineers, data scientists, and energy experts dedicated to addressing critical challenges in the energy sector.

KONUX GmbH, founded in 2014 and based in Munich, Germany, specializes in the development of Industrial Internet of Things (IIoT) solutions that integrate smart sensor systems with artificial intelligence-based analytics. The company's offerings include switch monitoring, asset monitoring, rolling stock monitoring, anomaly detection, and predictive analytics, all aimed at enhancing railway and industrial operations. By providing real-time monitoring and predictive maintenance capabilities, KONUX helps clients improve the reliability, capacity, and cost-efficiency of their railway systems. The company has expanded its reach across multiple countries in Europe and Asia and has been recognized by the World Economic Forum as one of the world's most innovative start-ups. With over $130 million raised from leading investors, KONUX is committed to modernizing railroad operations and contributing to a sustainable future in mobility.

Percolata is a Palo Alto-based startup that provides an integrated hardware and software solution designed to assist retailers in predicting in-store customer traffic. Utilizing video, audio, and mobile fingerprinting technologies, the platform employs artificial intelligence and predictive analytics to forecast sales and foot traffic hourly at each location. This capability enables retailers to optimize staffing levels, ensuring that employees are available when customers require assistance, while also reducing the costs associated with over- and understaffing. Percolata's innovative approach has the potential to enhance sales performance by up to 30%, making it a valuable tool for retail operations and marketing strategies. The company has garnered support from prominent investors including Andreessen Horowitz, Menlo Ventures, Foundation Capital, and Google Ventures.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

PlateJoy, Inc. is a San Francisco-based company that provides an online meal planning platform aimed at helping users create personalized nutrition plans. Founded in 2012, PlateJoy utilizes 50 data points related to individual eating habits and lifestyles to generate tailored meal plans and shopping lists. The service accommodates various dietary preferences, including paleo, vegan, Whole30, ketogenic, and kid-friendly options, among others. Users receive customized recipes and shopping lists designed to fit their goals, making it easier to maintain a healthy diet even with a busy schedule. Additionally, PlateJoy offers the convenience of sending shopping lists directly to Instacart for same-day grocery delivery in 30 cities across the United States.

Custora is a leader in advanced customer analytics tailored for the retail sector. The company offers a Customer Intelligence Platform that equips marketing leaders with the insights needed to achieve immediate results while fostering long-term profitability. This platform creates a comprehensive view of each customer and employs predictive analytics to identify key customer segments and paths. Additionally, it provides actionable recommendations aimed at enhancing customer lifetime value, addressing the practical challenges faced by marketing professionals. By leveraging data science, Custora enables brands to better understand customer behavior and develop strategic marketing initiatives that enhance the relevance and effectiveness of their communications.

Percolata is a Palo Alto-based startup that provides an integrated hardware and software solution designed to assist retailers in predicting in-store customer traffic. Utilizing video, audio, and mobile fingerprinting technologies, the platform employs artificial intelligence and predictive analytics to forecast sales and foot traffic hourly at each location. This capability enables retailers to optimize staffing levels, ensuring that employees are available when customers require assistance, while also reducing the costs associated with over- and understaffing. Percolata's innovative approach has the potential to enhance sales performance by up to 30%, making it a valuable tool for retail operations and marketing strategies. The company has garnered support from prominent investors including Andreessen Horowitz, Menlo Ventures, Foundation Capital, and Google Ventures.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

AutoGrid is a company that specializes in energy data management and big data analytics to enhance the efficiency of energy delivery. Founded in 2011 at Stanford University, AutoGrid develops a suite of applications aimed at managing distributed energy resources (DERs) in real time. These applications allow utilities, electricity retailers, and energy service providers to optimize energy distribution by leveraging vast amounts of data from smart meters, sensors, and third-party sources. By employing advanced algorithms and data science techniques, AutoGrid enables clients to monitor, predict, and control energy assets across global networks, ultimately facilitating the delivery of clean, affordable, and reliable energy. The team comprises skilled software architects, engineers, data scientists, and energy experts dedicated to addressing critical challenges in the energy sector.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

Percolata is a Palo Alto-based startup that provides an integrated hardware and software solution designed to assist retailers in predicting in-store customer traffic. Utilizing video, audio, and mobile fingerprinting technologies, the platform employs artificial intelligence and predictive analytics to forecast sales and foot traffic hourly at each location. This capability enables retailers to optimize staffing levels, ensuring that employees are available when customers require assistance, while also reducing the costs associated with over- and understaffing. Percolata's innovative approach has the potential to enhance sales performance by up to 30%, making it a valuable tool for retail operations and marketing strategies. The company has garnered support from prominent investors including Andreessen Horowitz, Menlo Ventures, Foundation Capital, and Google Ventures.

AutoGrid is a company that specializes in energy data management and big data analytics to enhance the efficiency of energy delivery. Founded in 2011 at Stanford University, AutoGrid develops a suite of applications aimed at managing distributed energy resources (DERs) in real time. These applications allow utilities, electricity retailers, and energy service providers to optimize energy distribution by leveraging vast amounts of data from smart meters, sensors, and third-party sources. By employing advanced algorithms and data science techniques, AutoGrid enables clients to monitor, predict, and control energy assets across global networks, ultimately facilitating the delivery of clean, affordable, and reliable energy. The team comprises skilled software architects, engineers, data scientists, and energy experts dedicated to addressing critical challenges in the energy sector.

Prevedere, Inc. is a predictive analytics company that specializes in business performance forecasting software. Founded in 2012 and headquartered in Columbus, Ohio, with an additional office in Sunnyvale, California, Prevedere provides a range of services including industry outlook reports, consumer behavior data, and predictive insights. The company's platform helps businesses monitor economic, environmental, and consumer behavior data to identify leading indicators for revenue and profit, thereby aiding in informed decision-making. Prevedere's offerings include predictive marketing analytics, financial forecasting intelligence, and demand planning solutions. The company also develops proprietary systems and APIs that integrate diverse data sources to ensure data accuracy and relevance. With a team comprising industry experts, data scientists, and economists, Prevedere supports organizations in navigating an ever-evolving market landscape.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

Guardian Analytics, Inc. is a provider of behavior-based fraud prevention solutions aimed at protecting financial institutions from online and mobile banking fraud. Established in 2005 and based in Mountain View, California, the company offers a range of services tailored for enterprise banks, community banks, and credit unions. These services include omni-channel fraud prevention, visual analytics, integrated risk databases, and cross-channel risk scoring. The platform utilizes behavioral analytics and machine learning to detect fraud in real-time across various payment methods, including online, mobile, ACH, and wire transfers. Additionally, Guardian Analytics provides a managed service called FraudDESK, which helps institutions mitigate fraud with minimal staffing impact. The company's solutions not only enhance fraud detection but also support anti-money laundering compliance, making them essential for over 400 financial institutions seeking to safeguard their operations and improve customer trust.

Chordiant Software, and its Foundation and Cx Solutions, arms marketing, customer service and customer loyalty executives with a suite of predictive and adaptive decisioning applications to deliver an order of magnitude improvement in customer experience.