HoneyHive Cloud is an enterprise platform purpose-built for testing, debugging, and monitoring LLM apps.
Pydantic is a company that specializes in developing an open-source data-validation framework for Python, which utilizes type hints to ensure data integrity. This framework effectively validates data by providing clear, user-friendly error messages when invalid entries are encountered. It enables developers to handle untrusted external data by ensuring it conforms to expected schemas, thus streamlining the process of working with real-world data. By facilitating easier and faster data validation, Pydantic's framework helps developers save time and reduce errors in their projects. Additionally, the company operates an observability platform known as Pydantic Logfire, further enhancing its offerings in the data management space.
Runware specializes in designing, producing, and marketing intelligent electronic accessories for smartphones. The company is also known for its advanced capabilities in text-to-image and image-to-image generation, achieving impressive speeds of 0.3 seconds for SD 1.5 and 0.9 seconds for SDXL through a single, powerful API. This combination of innovative accessories and cutting-edge technology positions Runware as a key player in the electronic accessories market.
Phidata is a software-as-a-service (SAAS) company that specializes in developing tools for enhancing large language models (LLMs). Its platform is designed to facilitate the creation of AI assistants by integrating features such as memory, knowledge, and various APIs. Phidata's offerings also include capabilities for running queries, sending emails, and monitoring, evaluating, and comparing different models. This comprehensive approach enables clients to optimize their AI engineering processes and develop dependable products tailored to their needs.
Freshpaint is a data platform that simplifies the collection and analysis of customer data to enhance marketing efforts. It automates the tracking of user behavior, such as clicks and page views, through an intuitive point-and-click interface or by integrating code. This capability allows businesses to seamlessly connect their customer data to various marketing and analytics tools with minimal effort. By doing so, Freshpaint enables product, data, and growth teams to gather essential behavioral insights necessary for improving products, driving customer engagement, and enhancing retention strategies. Co-founded by Michael Malis and Steven Fitzsimmons, Freshpaint aims to alleviate the burdens of manual data handling, allowing engineering teams to focus on product development.
Higgsfield is a video AI company focused on making social media content creation accessible to all individuals. It provides an AI-powered platform that facilitates the generation of professional-quality videos, removing traditional barriers to entry in video production. By offering user-friendly tools, Higgsfield enables customers to effortlessly transform their content ideas into engaging videos, regardless of their prior editing experience or technical skills. The company's mission is to empower everyone to participate in the evolving landscape of social media by simplifying the video creation process.
An Open, Interactive and Intelligent Cloud Ops Automation Platform
Kolena is a machine learning testing platform that enables ML teams to rigorously evaluate model behavior. The platform helps identify and track failure modes, allowing engineering, sales, and customers to gain a clearer understanding of model performance and pinpoint potential gaps. By providing a robust testing infrastructure, Kolena facilitates the quality assurance of machine learning software models and their updates, thereby streamlining and enhancing machine learning and analytics projects for its clients.
MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.
DataHub Core is the #1 open source platform with a uniquely scalable and extensible metadata graph supporting manual and automated data management. DataHub Cloud is an enterprise-ready SaaS solution providing a fully-managed service of DataHub Core with additional AI-powered capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.
Unweave is a developer of a machine learning tool aimed at addressing challenges in data pipelines, versioning, and collaboration limitations. The company offers a drag-and-drop interface that enables users to manage complex data workflows more efficiently. Its platform integrates data versioning into standard code workflows, allowing for reproducible development environments. By facilitating collaboration on large datasets, Unweave's tool enables users to store data in a Git repository, automatically upload changes to a cloud bucket, and track those changes effectively. This approach provides unlimited data storage and significantly reduces the time spent on data engineering tasks.
Orb is a developer of real-time billing infrastructure tailored for artificial intelligence and software companies. The company provides a platform that manages the data infrastructure and billing logic necessary for implementing usage-based pricing models. By doing so, Orb enables businesses to adopt more flexible monetization strategies, allowing them to better align their revenue workflows with evolving market demands. This innovative approach supports the next wave of technology companies in streamlining their billing processes and enhancing their pricing structures.
Onehouse offers a cloud-native managed lakehouse platform that integrates the functionality of data lakes and data warehouses. Built on Apache Hudi, the platform allows users to establish their data lakes quickly and efficiently, enabling rapid data processing and management. Onehouse's service provides businesses with the flexibility to utilize open data formats, avoiding vendor lock-in, while ensuring seamless interoperability with various query engines. This self-managing data layer is designed to optimize data ingestion and processing, delivering the scalability and cost benefits associated with data lakes alongside the ease of use typical of traditional data warehouses.
Hunch is a spatial canvas to collaborate with AI to be more productive and creative. You can use any AI model and chain them together to do complex work. Then share your work with your team or community as a reusable tool.
MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.
Yakoa is a NFT Fraud Detection Network.
Trace is marking the frontier of business intelligence by operationalizing the concept of "metric trees".
Bluesky is a tech startup that provides workload optimization and cost governance tools to data-driven organizations.
Koop turns viewers into owners.
Streamdal, previously known as Batch, specializes in developing a data performance monitoring tool designed for messaging systems. This tool provides users with enhanced visibility into their message queues, allowing them to monitor and replay past events. By utilizing Streamdal's services, users can effectively diagnose outages and data-related issues, as well as revert any unintended changes. The company's focus is on improving the reliability and performance of messaging platforms through comprehensive data management solutions.
Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.
Sift is an AI-first platform to bring community-led teams from Chaos to Clarity. Understand, Support, and Manage your communities across Discord, Slack, Github and more. As companies evolve today, their early adopters and most engaged champions live in their communities. Sift gives these companies everything they need to ensure these community users are successful, to leverage these communities effectively, and operate them efficiently. From understanding customer voice, sentiment analysis and GPT-powered Q&A to seamless integration into customer success and product workflows, Sift is a rich and enterprise-ready platform that will scale with you as you grow your product and community.
ReadySet is a distributed SQL caching layer that precomputes the results of parameterized SQL queries and incrementally updates these results as the underlying data changes. It is wire-compatible with MySQL and Postgres, plugs directly into existing databases and applications without any code changes, and elastically scales read throughput to meet fluctuating demands. ReadySet offers the low latencies of a custom caching system and the high query throughputs of read replicas with the straightforward developer experience of using a single relational database.
Hashboard is a business intelligence (BI) product built for data engineers to do their best work and easily spread the data love to their entire organizations. Define metrics on your data warehouse and let your whole team search, explore and find insights that drive your business.
DataGen Technologies, founded in 2018 and based in Tel Aviv, Israel, specializes in developing simulated data technology. This technology aims to provide scalable, bias-free, and automatically annotated datasets. By utilizing hyper-photorealistic imagery and advanced algorithms, DataGen generates high-variance datasets that meet diverse client needs. Their solutions enable organizations to simulate large-scale data efficiently, enhancing their ability to analyze and utilize information without the limitations associated with traditional data collection methods.
Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.
Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.
Tabula is an AI-powered no-code platform that transforms complex data tasks into simple, intuitive processes. Empowering business and data teams, it allows real-time exploration, analysis, and reporting of data without any need for developer resources.
Base64.ai automates all document processes using Generative AI and Large Language Models. The startup is disrupting the $100 billion Intelligent Document Processing market with its unique capability to understand any document without training. It has four patent applications, supports over 2,800 document types, and has 400+ no-code integrations. It's at $1.2m GAAP ARR with 1.5x growth in the last three months. The startup was funded $2m in Q2 2022 by Long Journey Ventures, Prime Zero, and Sequoia Scout. The founder, Ozan Bilgen, was a software engineer/manager at Microsoft, Netflix, PayPal, Uber, and Palantir.
Decodable is a data integration and engineering platform focused on serverless streaming data, founded in 2021 and based in San Francisco, California. The company provides software that enables applications and data engineers to construct complex data pipelines efficiently. Its platform facilitates quick connections to various messaging, storage, and database systems, allowing users to collect, process, and deliver data effectively to both offline and online systems.
Voltron Data specializes in developing tools for data access and memory computing aimed at enhancing the data analytics ecosystem. The company has created an open-source platform that facilitates seamless connections between data, hardware, and developers. By providing modular and composable analytics building blocks, Voltron Data enables the creation of multi-language tools that promote accelerated data interchange and in-memory processing. This approach allows developers, data scientists, and data engineers to improve their toolchains and establish better interoperability standards for data access, preparation, cleaning, analytics, and feature engineering.
Great Expectations is a developer of an open-source data quality platform aimed at enhancing the speed and integrity of data collaboration. The platform facilitates testing of data pipelines, thereby improving overall data quality. By using machine learning algorithms, it provides tools for validating, documenting, and profiling data, which helps organizations eliminate pipeline debt. This approach enables clients to uphold their data standards and fosters better communication regarding data across different teams. Through its innovative solutions, Great Expectations seeks to establish a shared data quality standard in the industry.
Onehouse offers a cloud-native managed lakehouse platform that integrates the functionality of data lakes and data warehouses. Built on Apache Hudi, the platform allows users to establish their data lakes quickly and efficiently, enabling rapid data processing and management. Onehouse's service provides businesses with the flexibility to utilize open data formats, avoiding vendor lock-in, while ensuring seamless interoperability with various query engines. This self-managing data layer is designed to optimize data ingestion and processing, delivering the scalability and cost benefits associated with data lakes alongside the ease of use typical of traditional data warehouses.
Ocurate is a startup that leverages artificial intelligence to enhance customer lifetime value predictions specifically for e-commerce businesses. The company offers a software solution that enables brands to identify and focus on high-value customers by predicting their value and affinity. Ocurate's platform includes a comprehensive database that maps the personality traits of adults, which is used to build predictive models. Additionally, the software integrates real-time predictions into existing business workflows through an API. This capability allows brands to strategically acquire the right customers and foster rapid growth.
Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.
Digger is a developer of a low-code platform that focuses on simplifying cloud infrastructure management. The company provides tools that automatically generate infrastructure for code within cloud accounts, allowing users to build on AWS without the need to master infrastructure-as-code. This approach enables businesses to customize their code according to specific needs, streamlining the deployment process and enhancing efficiency in cloud environments. By securing Terraform deployments, Digger supports organizations in managing their cloud infrastructure more effectively.
Creating and managing data policies is a slow pain. With PACE by STRM, you can make sure data is used securely. Apply data policies through code, wherever it lives. Farewell to long waits and costly meetings.
Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.
Y42 is a no-code business intelligence platform that provides a fully managed Modern DataOps Cloud, designed to assist companies in creating production-ready data pipelines using Google BigQuery or Snowflake. Founded in 2020 and headquartered in Berlin, Germany, Y42 enables users to seamlessly integrate, transform, orchestrate, and visualize their data from various sources without requiring coding skills. The platform incorporates best-of-breed open-source data tools, ensuring comprehensive data governance and fostering collaboration among data teams. By enhancing accessibility to data, Y42 empowers organizations to make informed, data-driven decisions efficiently.
Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.
Orchest Software B.V., based in Rotterdam, the Netherlands, operates as a cloud data science platform that offers an open-source, cloud-native integrated development environment tailored for data scientists. The platform provides tools that facilitate the development, iteration, and deployment of data pipelines, allowing users to transition from initial ideas to deployment without the need for extensive infrastructure or engineering support. This approach enhances workflow autonomy, enabling data scientists to work more efficiently within a unified environment.
Watchful, Inc. is a technology company based in San Francisco, California, that offers a platform designed for real-time data filtering, tagging, and routing. Established in 2016, Watchful empowers engineers, analysts, and administrators to manage data effectively, ensuring accurate context and placement. The platform facilitates the creation of labeled training sets for machine learning without manual intervention, utilizing programmatic labeling interfaces and active learning flows. This machine teaching solution significantly accelerates AI development processes, enhancing efficiency by allowing users to explore, classify, annotate, and validate unique datasets. By addressing data bottlenecks, Watchful's enterprise-ready solution supports scalable and cost-effective AI initiatives across various industries, including manufacturing, retail, finance, and life sciences.
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.
Rasgo is a developer of a feature store workflow platform that addresses metric inconsistencies in data analysis, allowing users to obtain consistent answers from the same data set. The platform facilitates data acquisition, integration, and feature ideation, streamlining the data preparation process for data scientists. By standardizing business metrics, Rasgo empowers its clients to discover, explore, create, and monitor critical metrics that drive their operations. The company has secured over $25 million in Series A funding from Insight Partners and Unusual Ventures and serves a diverse range of global enterprise customers across sectors such as finance, manufacturing, biotech, retail, and alternative energy. Rasgo operates with a fully remote team that emphasizes a people-first culture, comprising professionals with backgrounds from notable companies in the data domain.
DataHub Core is the #1 open source platform with a uniquely scalable and extensible metadata graph supporting manual and automated data management. DataHub Cloud is an enterprise-ready SaaS solution providing a fully-managed service of DataHub Core with additional AI-powered capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.
Privacy Dynamics specializes in a de-identification tool that addresses data privacy and disclosure risks for engineering teams. This tool allows organizations to safely access the data necessary for development, testing, model training, and analytics while maintaining referential integrity and preserving original data formats. By ensuring that lower environments include the complexities found in real-world data, Privacy Dynamics enables clients to utilize data effectively without compromising privacy. The solution integrates seamlessly with projects, maximizes data utility while minimizing privacy distortion, and eliminates the need for classification, policy management, or data mapping.
Kolena is a machine learning testing platform that enables ML teams to rigorously evaluate model behavior. The platform helps identify and track failure modes, allowing engineering, sales, and customers to gain a clearer understanding of model performance and pinpoint potential gaps. By providing a robust testing infrastructure, Kolena facilitates the quality assurance of machine learning software models and their updates, thereby streamlining and enhancing machine learning and analytics projects for its clients.
Great Expectations is a developer of an open-source data quality platform aimed at enhancing the speed and integrity of data collaboration. The platform facilitates testing of data pipelines, thereby improving overall data quality. By using machine learning algorithms, it provides tools for validating, documenting, and profiling data, which helps organizations eliminate pipeline debt. This approach enables clients to uphold their data standards and fosters better communication regarding data across different teams. Through its innovative solutions, Great Expectations seeks to establish a shared data quality standard in the industry.
Begin is a company that specializes in developing an interactive bot application program interface, designed to enhance communication and collaboration among users. Founded in 2015 and based in San Francisco, California, Begin's platform enables users to create groups and teams, facilitating task management and organizational teamwork. The application employs command messaging technology to automate tasks over the Internet, allowing employees to complete their assignments more efficiently. With a focus on creating full-featured, scalable applications, Begin aims to transform static interactions into dynamic, productive workflows.
Era Software specializes in observability data management, providing IT and security organizations with tools to efficiently route, ingest, store, and analyze extensive data sets for actionable insights. Their platform, EraSearch, simplifies the management of log data in real-time while significantly reducing costs compared to traditional solutions. As data volumes continue to increase, enterprises often face challenges in determining which data to collect, leading to critical visibility gaps. Era Software addresses these issues by offering a time-series database tailored for machine learning and anomaly detection, thus enhancing performance and scalability in modern application architectures such as cloud, containers, and microservices. This enables users to gain a comprehensive understanding of large data sets with ease.
DataDistillr is an enterprise platform designed to enhance data discovery and management for organizations. It provides a robust toolset that enables data scientists to connect with various data sets across different locations and formats. The platform facilitates the uploading, managing, filtering, and sharing of data, allowing users to simulate and visualize information effectively. Additionally, DataDistillr offers specialized capabilities for security professionals, helping to detect and mitigate security threats early on. Its features include the enhancement of key data attributes such as MAC addresses, port numbers, and IP addresses, while also providing intuitive charts, dashboards, and graphs that deliver clear visual insights into cyber data. Through these functionalities, DataDistillr empowers organizations to extract greater value from their data assets.
InfiniLake develops Software-as-a-Service products in the data infrastructure space.
Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.
An Open, Interactive and Intelligent Cloud Ops Automation Platform
Bit.io is a cloud database platform based in San Francisco, California, founded in 2019. It offers a zero-configuration, scalable solution that emphasizes ease of use and community engagement, similar to social coding platforms. Users can create an empty database with a single click, eliminating the need for complex administration, identity and access management, and firewall configurations. The platform allows clients to securely store, query, and share data, providing specific access levels for collaborators. Bit.io aims to simplify data sharing and management, making it accessible for users without technical expertise.
Decodable is a data integration and engineering platform focused on serverless streaming data, founded in 2021 and based in San Francisco, California. The company provides software that enables applications and data engineers to construct complex data pipelines efficiently. Its platform facilitates quick connections to various messaging, storage, and database systems, allowing users to collect, process, and deliver data effectively to both offline and online systems.
Soda is the data monitoring platform that keeps your data fit for purpose, verifiable and trustworthy. We uncover data issues, alert the right teams, and trigger resolution workflows to identify causes that impede data quality. Our open source testing projects and monitoring platform brings together data engineers, operations and the business to create trusted data. Data-driven organisations choose Soda to realise the value of their data and secure its quality. Data Monitoring | Data Testing | Observability | Data Quality | Data Management
Wasmer was founded to solve problems we faced ourselves every day. Now, we strive to contribute to developers around the world so they can reach their full potential - and they do it with a smile :) Their team is distributed but connected by a culture of diligence, amplified by the passion we have for their shared mission. They care and value one another.
Anomalo is a developer of an artificial intelligence-based data validation tool that helps organizations continuously inspect and validate the data entering their warehouses. The company’s solution automatically detects and explains issues in enterprise data, facilitating a seamless connection to data warehouses. By employing automated machine learning technology, Anomalo enables companies to validate and document their data with minimal configuration, eliminating the need for users to write any code. This approach streamlines the data validation process, enhancing data integrity and reliability for enterprises.
Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.
Theseus AI focuses on enhancing health outcomes through advanced machine learning technology. The company develops algorithms that specifically target the issue of unnecessary spine surgeries, a significant concern in the medical field. These algorithms are designed to automatically segment and analyze areas of interest in MRI scans, allowing for comparisons to established reference ranges. By providing objective data, Theseus AI supports radiologists, primary care physicians, and surgeons in their diagnostic and treatment processes, ultimately aiming to improve patient care and reduce healthcare costs associated with unnecessary procedures.
Aquarium Learning is an ML data management platform that helps to improve models by improving datasets. The company was founded in 202 and based in San Francisco, California.
Freshpaint is a data platform that simplifies the collection and analysis of customer data to enhance marketing efforts. It automates the tracking of user behavior, such as clicks and page views, through an intuitive point-and-click interface or by integrating code. This capability allows businesses to seamlessly connect their customer data to various marketing and analytics tools with minimal effort. By doing so, Freshpaint enables product, data, and growth teams to gather essential behavioral insights necessary for improving products, driving customer engagement, and enhancing retention strategies. Co-founded by Michael Malis and Steven Fitzsimmons, Freshpaint aims to alleviate the burdens of manual data handling, allowing engineering teams to focus on product development.
Privacy Dynamics specializes in a de-identification tool that addresses data privacy and disclosure risks for engineering teams. This tool allows organizations to safely access the data necessary for development, testing, model training, and analytics while maintaining referential integrity and preserving original data formats. By ensuring that lower environments include the complexities found in real-world data, Privacy Dynamics enables clients to utilize data effectively without compromising privacy. The solution integrates seamlessly with projects, maximizes data utility while minimizing privacy distortion, and eliminates the need for classification, policy management, or data mapping.
Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.
Datacoral provides a secure, end-to-end data infrastructure as a service, enabling data scientists to build data products at a fraction of the cost and time. Our product offers a specialized building block to collect data from any source, organize that data in any query engine, and use that data for gathering insights, privately within your cloud VPC. Check us out at the AWS Marketplace.
StackShare, Inc. operates a cloud-based discovery platform that assists developers and engineers in finding and comparing software development tools and cloud infrastructure services. Founded in 2013 and based in San Jose, California, StackShare allows users to explore a wide range of technological solutions, including application hosting, data management, DevOps tools, and business support resources. The platform fosters a community where developers, engineers, and technology leaders can share recommendations, reviews, and insights about the tools they use, helping others navigate the complex landscape of software options. By providing transparency and community-driven feedback, StackShare aims to simplify the decision-making process for organizations of all sizes, from startups to large enterprises. The company was previously known as Leanstack, Inc. before rebranding in March 2015.