Soma Capital

Pulse converts complex information into LLM-ready inputs. Their API supports all document formats, from PDFs to Word, Excel, etc. Pulse integrates seamlessly with any existing data pipeline in minutes without any training or complexity. It was founded in 2024 and is located in San Francisco, California, United States.

Use AI to automatically map data between any two schemas in seconds. Lume AI helps teams ingest client data, normalize data from different sources, and build data pipelines, automatically.

Trieve, established in 2023, specializes in AI-driven search and recommendation solutions. It empowers businesses across various sectors, such as e-commerce, ERP, and social media, by offering a platform that combines search language models, vector search, and ranking tools. This enables companies to enhance their search capabilities, delivering more relevant results and improving user experience.

Paces is developing a data platform aimed at enhancing the profitability and feasibility of green infrastructure projects. By gathering and analyzing data from over 3,500 U.S. counties, Paces offers actionable insights that include environmental, permitting, zoning, interconnection information, and competition risks. The platform also provides modeled signals such as climate risks, profitability forecasts, and parcel rankings, allowing stakeholders to make informed decisions about specific land parcels and green infrastructure assets. This comprehensive approach helps to de-risk the development and operation of renewable projects, ultimately facilitating faster project development and improved financial returns for developers and investors.

Bluebirds is an AI-based data platform to find customer contacts that switched jobs.

DynamoFL empowers enterprises to deploy Gen AI solutions in a safe, private, and compliant manner. Our tools offer a scalable and efficient solution for defense against adversarial AI threats, ensuring the integrity and security of ML models throughout their lifecycle. Our suite of proactive AI model defense solutions can be deployed to both identify and remediate security and robustness risks in Generative AI systems. We enable organizations to deploy state-of-the-art LLMs on substantially cheaper hardware, even including CPU resources.

Frenter is a comprehensive platform designed for the rental industry, offering a robust technical infrastructure that enables businesses to make informed decisions and minimize risks. The company provides a suite of tools for fleet management, incorporating telematics, usage data, and equipment health insights. Frenter's software facilitates real-time monitoring of equipment, utilizing cellular and satellite GPS to track assets even in remote locations. With features such as asset management, GPS tracking, fleet analytics, maintenance scheduling, and logistics tracking, Frenter equips rental businesses with the necessary insights to optimize operations and reduce downtime.

Integration Labs is a data integration platform that simplifies access to customers' accounting, e-commerce, and payment data for businesses. The platform offers a well-documented Unified API, allowing product teams to efficiently read and write data across more than 20 platforms, including popular services like Quickbooks, Shopify, and Stripe. Companies utilize Integration Labs to automate accounting processes, underwrite credit risk, generate valuable business insights, and develop new business tools. By prioritizing safety and reliability, Integration Labs enables organizations to streamline their operations and enhance decision-making capabilities.

Fetch Complex Blockchain Data in minutes instead of days

DynamoFL empowers enterprises to deploy Gen AI solutions in a safe, private, and compliant manner. Our tools offer a scalable and efficient solution for defense against adversarial AI threats, ensuring the integrity and security of ML models throughout their lifecycle. Our suite of proactive AI model defense solutions can be deployed to both identify and remediate security and robustness risks in Generative AI systems. We enable organizations to deploy state-of-the-art LLMs on substantially cheaper hardware, even including CPU resources.

Paces is developing a data platform aimed at enhancing the profitability and feasibility of green infrastructure projects. By gathering and analyzing data from over 3,500 U.S. counties, Paces offers actionable insights that include environmental, permitting, zoning, interconnection information, and competition risks. The platform also provides modeled signals such as climate risks, profitability forecasts, and parcel rankings, allowing stakeholders to make informed decisions about specific land parcels and green infrastructure assets. This comprehensive approach helps to de-risk the development and operation of renewable projects, ultimately facilitating faster project development and improved financial returns for developers and investors.

DAOHQ operates a marketplace specifically for decentralized autonomous organizations (DAOs), aiming to streamline their discovery, investment, and maintenance on a global scale. The platform provides users with access to advanced analytics for over 2,000 DAOs, facilitating informed decision-making. Additionally, the DAOHQ DAO Data API offers investors, researchers, and developers a comprehensive data lake containing financial, governance, and social statistics related to these organizations. By creating a centralized hub for managing DAOs, DAOHQ supports the growth of the decentralized ecosystem and empowers users to engage with blockchain-based organizations effectively.

Redbird is an AI-powered analytics platform for teams to easily automate advanced analytics work in minutes, without writing code. Redbird's solution offers a comprehensive set of automated data services, including collection, wrangling, modeling, and reporting, as well as a user-friendly interface that does not require specialized engineering knowledge to use. Redbird allows data engineers to be freed up to work on more complex or technical assignments.

Atlas is an all-in-one customer support tool that helps you transform your customer support team from a cost center into an engine of product innovation. We bring together key information from across your customers’ journey into a single location so you can give faster, more effective responses and can analyze and learn from your customers’ holistic needs.

Nanonets is an AI-driven company specializing in automating document processing and data extraction workflows. By utilizing advanced Optical Character Recognition (OCR) and deep learning models, Nanonets assists businesses in managing document-intensive processes such as accounts payable, order processing, and insurance underwriting. The platform effectively processes unstructured documents—such as invoices, receipts, and contracts—transforming them into structured data. Nanonets integrates seamlessly with existing systems through APIs, significantly reducing manual effort by up to 90% while delivering high accuracy and efficiency. The solution not only enhances productivity but also offers substantial cost savings, making it a valuable tool for organizations looking to streamline their operations without the need for complex database management.

Superdao is a platform designed to support the management and growth of decentralized autonomous organizations (DAOs) in the Web3 space. It offers tools for wallet analytics that provide organizations with insights into their dapp users, NFT and token holders, DAO voters, and quest participants. The platform features a hybrid governance system that facilitates collaborative management of decentralized application ventures, enabling users to create and customize intelligent contracts with ease. Additionally, Superdao includes a built-in member directory, treasury dashboard, and contributor management tools, which enhance decision-making and governance for DAOs. Organizations can leverage filter and export tools to build targeted lists and gain competitive insights from a database of audiences from numerous top Web3 projects.

Secoda is the self-serve data discovery tool that saves teams thousands of hours every year by making data discovery, trust, and understanding faster and easier. Today, data teams are collecting tons of data, but most employees don't know what data exists, how to use it, and what data to trust. This confusion happens because different components of company data get collected in fragmented tools. Teams use dbt and Snowflake for data cataloging, Google Sheets for events, Confluence for general knowledge, Slack to manage data requests, Mode for reports, Github, Looker, the list goes on and on. Secoda lets teams manage their queries, charts, data catalog, data dictionary, and documentation in one place. After teams switch to Secoda, data knowledge is centralized in one place. Instead of having to switch between Snowflake, dbt, Confluence Google Sheets, BI tool, and your query editor, Secoda keeps all your data knowledge in one place for everyone who needs it.

Reworth is a developer of a payment relationship marketing platform that facilitates interactions between banks and merchants to enhance customer engagement. By leveraging anonymous transactional data, Reworth enables financial institutions to offer personalized merchant-funded cashback programs, which help increase customer loyalty and drive revenue. The platform's API infrastructure supports various services, including credit scoring, fraud prevention, B2B payments, and personal finance management, contributing to the future of Open Finance. Reworth equips its partners with valuable first-party data, real-time business intelligence, and competitor analysis, allowing them to accurately predict consumer behavior and create tailored experiences that resonate with customers.

Solipay is democratizing personal data for everyone.

Tractian specializes in providing asset management and monitoring solutions designed to enhance the efficiency and reliability of industrial operations. The company offers tools for data collection and analysis that enable businesses to track the performance and condition of their assets effectively. Tractian's system integrates with various sensors and devices, facilitating predictive maintenance by offering real-time monitoring capabilities. This makes it easier for maintenance teams and decision-makers in sectors such as manufacturing, logistics, and energy to gain comprehensive oversight of their operations.

Biodock operates a cloud-based platform that streamlines the analysis of biological data, particularly microscopy images. By automating what traditionally takes months, the platform reduces microscopy analysis to mere minutes through its end-to-end AI architecture. It offers auto-scaling storage and utilizes powerful graphics processing units (GPUs) to enhance processing efficiency, resulting in 30-50% more accurate analyses. The platform is designed with scientists in mind, featuring a user-friendly interface that allows clinicians to upload, analyze, and download quantification data at the single-cell level, along with publication-ready graphs. Additionally, Biodock processes millions of cells weekly for both free academic and enterprise customers, contributing to the creation of the largest image dataset for microscopy images, thereby gaining a competitive edge in data acquisition and analysis.

Flatfile Inc. is a company that specializes in data onboarding solutions, enabling developers to efficiently validate, map, and import CSV data from various web applications. Founded in 2018 and based in Denver, Colorado, Flatfile offers a platform that integrates seamlessly with software applications, allowing users to upload data through formats such as CSV, XLS, or TSV. Its key products include Portal, which provides an import button embedded via a JavaScript snippet, and Concierge, which creates secure collaborative workspaces for organizations to manage complex data ingestion challenges. The platform is designed to enhance developer productivity, reduce costs, and improve data quality by learning to identify and clean incoming data over time. Numerous companies, including AstraZeneca and Square, utilize Flatfile’s API-first platform to streamline their data import processes.

Explo is a data exploration and analysis platform founded in 2019 and headquartered in San Francisco, California. The platform enables users to connect directly to various database and data warehouse sources, allowing them to explore, analyze, and visualize data easily through a user-friendly point-and-click interface. By integrating with any data source, Explo facilitates data manipulation and visualization without requiring SQL knowledge, empowering clients to make informed, data-driven decisions to enhance their business growth and scalability.

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.

Flatfile Inc. is a company that specializes in data onboarding solutions, enabling developers to efficiently validate, map, and import CSV data from various web applications. Founded in 2018 and based in Denver, Colorado, Flatfile offers a platform that integrates seamlessly with software applications, allowing users to upload data through formats such as CSV, XLS, or TSV. Its key products include Portal, which provides an import button embedded via a JavaScript snippet, and Concierge, which creates secure collaborative workspaces for organizations to manage complex data ingestion challenges. The platform is designed to enhance developer productivity, reduce costs, and improve data quality by learning to identify and clean incoming data over time. Numerous companies, including AstraZeneca and Square, utilize Flatfile’s API-first platform to streamline their data import processes.

Glisten.AI is a San Francisco-based company that develops artificial intelligence software tailored for the e-commerce industry. The company's platform automates the representation of product data for retailers, streamlining the management of product information. Glisten.AI consolidates inconsistent data, classifies products using a standardized taxonomy, and generates structured attribute information through advanced techniques such as computer vision. This enables merchants to enhance product identification and optimize search functionalities, ultimately facilitating more efficient data processing and analytics. Founded by Sarah Wooders and Alice Deng, Glisten.AI aims to improve how retailers handle and utilize product data.

Explo is a data exploration and analysis platform founded in 2019 and headquartered in San Francisco, California. The platform enables users to connect directly to various database and data warehouse sources, allowing them to explore, analyze, and visualize data easily through a user-friendly point-and-click interface. By integrating with any data source, Explo facilitates data manipulation and visualization without requiring SQL knowledge, empowering clients to make informed, data-driven decisions to enhance their business growth and scalability.

Biobot Analytics, Inc. is a wastewater epidemiology company founded in 2017 and based in Cambridge, Massachusetts. The company has developed technology that transforms wastewater infrastructure into public health observatories by analyzing urine and stool samples. This technology provides health data that is independent of hospital reporting systems and is adaptable to emerging public health threats. Biobot Analytics offers a proprietary tool that measures health risks such as infectious disease outbreaks, antibiotic resistance, and drug consumption patterns, including its Opioid Consumption Monitoring Program, which estimates drug use in urban areas through sewage analysis. By generating anonymized public health data, Biobot delivers actionable insights to government officials, enabling them to prioritize interventions and address public health challenges effectively.

Nanonets is an AI-driven company specializing in automating document processing and data extraction workflows. By utilizing advanced Optical Character Recognition (OCR) and deep learning models, Nanonets assists businesses in managing document-intensive processes such as accounts payable, order processing, and insurance underwriting. The platform effectively processes unstructured documents—such as invoices, receipts, and contracts—transforming them into structured data. Nanonets integrates seamlessly with existing systems through APIs, significantly reducing manual effort by up to 90% while delivering high accuracy and efficiency. The solution not only enhances productivity but also offers substantial cost savings, making it a valuable tool for organizations looking to streamline their operations without the need for complex database management.

Sensai is a content analytics platform designed to assist Sales, Operations, and Finance teams in large organizations. It enables analysts to identify and track emerging concepts within enterprise repositories as well as from public and private data sources. The platform employs innovative methods for clustering and refining results, allowing users to quickly test hypotheses and analyze patterns within the data. Additionally, Sensai offers a content-discovery language that empowers business analysts to query any dataset and obtain insights independently, without requiring assistance from data science or programming teams. This technology supports various applications, including research, governance, and anti-fraud initiatives.