StackAI is a San Francisco no-code platform for building, deploying, and governing custom AI agents that automate back-office work across enterprise systems like Salesforce, Slack, and Google Workspace. Founded in 2023 by MIT robotics PhDs Antoni 'Toni' Rosinol and Bernardo Aceituno out of Y Combinator's W23 batch, it grew to 100+ enterprise customers and processed over a million documents before Asana acquired it in May 2026 for a reported $75 million to anchor its 'operating system for human-agent teams.'
Lyzr AI is an enterprise agent-infrastructure company that helps banks, insurers, and other regulated organizations move AI agents from proof-of-concept to production. Its open-core Agent Framework bakes Safe AI and Responsible AI modules into the core architecture, while products like Agent Studio and a roster of named agents (Jazon the AI SDR, Skott the AI marketer) let teams build, govern, and deploy autonomous agents inside their own firewall or VPC. Backed by Accenture and valued at $250M, Lyzr positions itself as the trusted layer between large language models and the compliance-bound enterprise.
Shelf is an AI-driven knowledge and data quality platform that cleans, enriches, and governs the unstructured content enterprises feed into generative AI. By diagnosing and fixing the messy documents, duplicates, and outdated answers buried across corporate systems, Shelf aims to make GenAI and RAG applications accurate and trustworthy. Founded in 2017 and based in New York and Stamford, Connecticut, it serves enterprises like John Deere, HelloFresh, DSW, and Glovo.
Gabriel Paunescu is the founder and CEO of Naologic, a no-code platform that lets companies build and customize enterprise software (ERP, CRM, workflow apps) without a development team, and now layers multi-agent AI on top of legacy business systems. A Romanian-born serial entrepreneur with seven startups and two exits behind him, he started exporting essential oils at 17 and now keynotes at Google Next, mentors at UC Berkeley, and writes about building AI agents that catch their own hallucinations. His core belief: buying software you cannot modify is like buying a horse instead of a car.
George Sivulka is the founder and CEO of Hebbia, the AI platform that turns piles of unstructured documents into answers for asset managers, banks, and law firms. He cold-called NASA as a teenager, finished a Stanford math degree in 2.5 years, then walked away from a fully funded PhD to build software that lets AI agents do the multi-step grunt work of professional analysis. By 2024 Hebbia had raised $130M at a $700M valuation on $13M of profitable revenue, with Peter Thiel, Andreessen Horowitz, Index Ventures, and Google Ventures behind it.
Sedarius Tekara Perrotta is the co-founder and CEO of Shelf, a New York-based knowledge management and AI data-quality platform. A former Peace Corps volunteer turned serial software entrepreneur, he has spent two decades applying machine learning and NLP to the unglamorous problem of finding the right answer fast - building knowledge systems for the World Bank, Harvard Business School, MIT and Stanford before turning that craft into a company that raised $52.5M in Series B funding led by Tiger Global and Insight Partners.
Emil Eifrem is the co-founder and CEO of Neo4j, the company he built from a cocktail-napkin sketch on a 2000 flight to Mumbai into the world's leading graph database platform. He coined the term 'graph database,' developed the property graph model, and has guided Neo4j to a $2.2B valuation, over $200M in annual revenue, and adoption by 84 of the Fortune 100. Beyond enterprise metrics, he launched the Graphs4Good program channeling graph technology toward cancer research, pandemic supply chains, and investigative journalism — most famously the Panama Papers investigation that won the Pulitzer Prize and toppled Iceland's government.
Deccan AI is a Mountain View-based GenAI data company that runs the post-training and production layer for frontier labs and enterprises. It builds super-accurate SFT and RLHF datasets, reinforcement learning environments and agentic evaluation pipelines using an elite expert network and a purpose-built quality platform.
Brian Raymond is the Founder and CEO of Unstructured, the leading enterprise ETL platform for making raw, unstructured data LLM-ready. A former CIA intelligence officer and White House National Security Council director, Raymond pivoted from government service through investment banking and AI startup Primer before founding Unstructured in 2022. In just two years, he raised $65 million across three rounds from Menlo Ventures, Databricks, IBM, NVIDIA, and others, building the critical 'first mile of AI' infrastructure that powers enterprise RAG pipelines and GenAI applications globally.
Jeremy Suh is a San Francisco-based software engineer and co-founder who built Browser Buddy - an AI-powered recommendation engine for high-quality internet writing - through Y Combinator's Winter 2024 batch. Exa, the AI search infrastructure company redefining how developers access web data for LLMs, acquired Browser Buddy in its first-ever acquisition, bringing Jeremy and co-founder Arnav Wadehra onto the team. At Exa, he works on new approaches to retrieval and web organization at a company now valued at $2.2 billion following a $250 million Series C led by Andreessen Horowitz in 2026.
Unstructured is a San Francisco company building the data layer for generative AI. Its open-source library and enterprise platform ingest PDFs, slide decks, emails, images and 70+ other file types, then transform them into clean, structured data that LLMs and RAG pipelines can actually use.
Upstage is a South Korea-born, US-expanding AI company building Solar - a family of frontier large language models - alongside Document AI tools that turn messy PDFs, scans, and contracts into structured data for enterprise workflows.
Writer is a full-stack generative AI platform built for the Fortune 500. Founded in 2020 by May Habib and Waseem AlShikh, the company trains its own family of Palmyra LLMs and pairs them with an agent studio, knowledge graph, and guardrails - so banks, retailers, and healthcare giants can deploy AI without renting another vendor's model.
Abacus.AI is a San Francisco-based AI research company building an end-to-end platform that lets professionals and enterprises automate work with generative AI, agents, and applied machine learning. Its consumer-facing super assistant ChatLLM bundles access to leading frontier models, while its enterprise platform powers forecasting, personalization, and custom AI workflows.
Bito is a San Francisco-based AI developer tools company building agents that review pull requests and ground code generation in deep codebase context. Its AI Code Review agent plugs into GitHub, GitLab, and Bitbucket to flag bugs, security issues, and style problems before humans burn a single brain cell on them - and it speeds up PR merges by 89%, according to the company.
Exa is an applied AI lab building a search engine for AIs. Their neural search API lets developers and AI agents retrieve high-quality, factual content from the web using natural-language queries, powering RAG, research agents, and enterprise knowledge workflows.
FlexAI is a Paris-based AI infrastructure company building a 'universal AI compute' layer that lets teams deploy, train, and serve models across diverse GPU architectures and cloud providers without wrestling with the underlying hardware. Founded in 2023 by former Intel, NVIDIA, Apple, and Tesla veterans, it raised a $30M seed round in April 2024 and is positioning itself as Europe's answer to the GPU-as-a-service crunch.
LangChain is the agent engineering company. It builds the open-source frameworks (LangChain, LangGraph) and the commercial platform (LangSmith, LangGraph Platform) that developers use to design, deploy, evaluate and observe LLM-powered applications and autonomous agents in production.
LlamaIndex is a San Francisco company building the data framework and cloud platform that lets enterprises turn messy unstructured documents into knowledge agents powered by large language models. Its open-source library is one of the most-used scaffolds for retrieval-augmented generation, and its hosted product, LlamaCloud, packages parsing, extraction, and indexing for production teams.
Nexla is a unified data operations platform that turns fragmented enterprise data into AI-ready data products - called Nexsets - so analysts, engineers, and AI agents can integrate, transform, and govern data without writing code.
Snorkel AI is a Redwood City-based enterprise AI company spun out of the Stanford AI Lab in 2019. Its Data Development Platform lets enterprises programmatically label, curate, and evaluate the training and evaluation data that powers custom LLMs, RAG systems, and AI agents - turning expensive manual annotation into a software-engineering discipline.
TrueFoundry is a San Francisco-based enterprise agentic AI platform that helps Fortune 1000 companies deploy, govern, and scale AI and machine learning applications. Founded in 2021 by former Meta engineers from IIT Kharagpur, it provides an end-to-end MLOps/LLMOps platform covering model deployment, AI gateway, model registry, prompt lifecycle management, and observability - all on the customer's own infrastructure with SOC 2, HIPAA, and GDPR compliance. With $21.3M in total funding led by Intel Capital and Peak XV, TrueFoundry's platform manages 1,000+ clusters, processes 10+ billion monthly API requests, and delivers 40-50% infrastructure cost reductions for customers including Siemens Healthineers, ResMed, NVIDIA, and Automation Anywhere.
Jorge Torres is the Co-Founder and CEO of MindsDB, an open-source AI data platform headquartered in Berkeley, California. He is a Visiting Research Scholar at UC Berkeley focused on machine learning automation and explainability. Torres built MindsDB to democratize AI—letting any developer query AI models directly from databases using plain SQL or natural language. Under his leadership, MindsDB has raised over $77 million in funding from investors including Benchmark, NVIDIA, Mayfield, and Y Combinator, garnering recognition from Forbes as one of America's most promising AI companies and from Gartner as a Cool Vendor for Data and AI.
Ronen Schwartz is the CEO of K2view, an Israeli-founded data product company at the forefront of enterprise AI readiness. With 25 years in the data industry — including a 14-year run at Informatica and a stint at NetApp where he grew the cloud storage business 12-fold to dominate a $600M division — Schwartz took the helm at K2view in December 2023. He is focused on turning fragmented enterprise data into live, governed data products that power agentic AI applications at scale, positioning K2view as the infrastructure layer that makes real-time AI not just possible, but production-ready.
Zuzanna Stamirowska is the co-founder and CEO of Pathway, a Palo Alto-based AI infrastructure company building real-time data pipelines and post-transformer AI architectures. With a PhD in Complexity Science from Paris I Panthéon-Sorbonne and a background in maritime trade forecasting recognized by the U.S. National Academy of Sciences, she leads a team that counts NATO, Formula 1, and La Poste among its customers. Pathway's $10M seed round in November 2024 brought total funding to $14.5M, and the company's October 2025 launch of the Dragon Hatchling (BDH) - a brain-inspired, continual-learning architecture - positions it at the frontier of post-transformer AI.
Daniel Svonava is the Co-Founder and CEO of Superlinked, an ML infrastructure company building self-hosted inference infrastructure for vector search and document processing. A Slovak-born engineer and entrepreneur based in San Francisco, he spent six years as an ML Tech Lead at YouTube building ad performance systems powering over $10B in annual ad revenue before co-founding Superlinked in 2021. Superlinked raised a $9.5M seed round led by Index Ventures in March 2024, and the company is on a mission to make vector-based retrieval accessible and production-ready for enterprises.
Sid Manchkanti is the Co-Founder and CEO of Pulse, a production-grade document intelligence platform that converts complex unstructured documents into LLM-ready structured data. A Berkeley CS graduate with experience at NVIDIA and D.E. Shaw, he co-founded Pulse in 2024 after going through Y Combinator's Summer 2024 batch. The company raised a $3.9M seed round led by Nat Friedman and Daniel Gross, and has processed over one billion pages for Fortune 100 enterprises across finance, healthcare, insurance, legal, and supply chain sectors.
Harrison Chase is the co-founder and CEO of LangChain, the open-source framework that became the default scaffolding for developers building LLM-powered applications. Starting as an 800-line Python package he wrote as a side project in October 2022, LangChain has grown to serve 1 million+ developers, 80 million monthly downloads, and blue-chip enterprise customers from Uber to JPMorgan - reaching a $1.25 billion valuation after a $125 million Series B in October 2025. A Harvard-trained statistician who got into machine learning through sports analytics, Chase built LangChain to solve the problem he kept running into at work: there was no good way to chain LLM calls together into reliable, production-ready applications.
Jerry Liu is the co-founder and CEO of LlamaIndex, the open-source data framework that became essential infrastructure for connecting large language models to enterprise data. What started as a weekend side project in November 2022 - an indexing tool he built to feed his own data into GPT-3 - grew into a company with $46.5M in total funding, 600,000+ monthly downloads, and clients including Salesforce, KPMG, and Carlyle. A Princeton computer science graduate who published GAN research as an undergrad, Liu moved from Quora's feed ranking team to Uber's autonomous vehicle research labs before co-founding LlamaIndex with former Uber colleague Simon Suo in early 2023.
Will Bryk is the co-founder and CEO of Exa, a neural search engine built for the AI era. A Harvard CS and physics graduate who interned at SpaceX and engineered AI products at Cresta, Bryk left to answer a question that gnawed at him: what if Google was already obsolete? Exa reimagines search using transformer-based link prediction - what Bryk calls 'neural PageRank on steroids' - to help AI agents find exactly the right information rather than keyword-stuffed SEO noise. The company raised $85M in a Benchmark-led Series B at a $700M valuation in September 2025, with Nvidia and Lightspeed also backing the bet that AI systems will soon generate more search queries than humans.