rag
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Openxcell and the work between the apps
The software company is betting on a familiar office problem: good tools that leave people doing the connecting. Its answer is custom software, with AI given a carefully measured job.
DataStax found AI’s missing memory
The company that made Cassandra easier to live with is now helping IBM connect AI to enterprise data. Its story begins with a failed intervention and keeps returning to the same problem: making useful technology usable.
Pinecone Learned That a Smart Agent Still Needs a Good Memory
The company made vector search easy to rent. Then its own support agent showed why finding a document was only the beginning.
Chatbase Hit $10M ARR by Outgrowing the Product That Made It Famous
The two-week PDF bot got a paying customer in 30 minutes. Three years later, its bootstrapped creator runs a 26-person support platform - and the pivot explains more than the revenue chart.
Sixteen Years, No Funding, and the AI Nobody Demos
ITRex Group has spent sixteen years turning other companies' hardest problems into working software. Now it is doing the same with AI - the part that runs in production, not the part that looks good on stage.
The Search Company That Decided Keywords Weren't Enough
Lucidworks grew up inside open-source Solr, then bet its future on a harder problem than matching words: understanding what people mean. Here is how the Salt Lake City and San Francisco company sells relevance to the world's largest catalogs.
The Lahore Shop That Sells Silicon Valley Its Software
Founded in 2006 with five people in Lahore, PureLogics now ships custom software and AI systems to Fortune 500 names from a New York address - without ever taking a dollar of outside funding.
Guru
Stop running your business on confidently wrong AI. Guru turns scattered company knowledge into a governed source of truth that answers employees and AI agents alike.
Captain
Captain is a managed retrieval-augmented generation (RAG) platform out of Y Combinator's Winter 2026 batch. It lets developers connect data sources - S3, SharePoint, Google Drive, Slack, Notion and more - with a couple of API calls, then handles the full pipeline behind the scenes: OCR, chunking, embedding, vector storage, hybrid search, and re-ranking. The company claims roughly 95% retrieval accuracy on a published benchmark versus about 78% for hand-built pipelines, and positions itself as 'the Snowflake for unstructured data.' In March 2026 it added Odyssey, a proprietary private-market intelligence dataset queryable through the same API.
DXwand
DXwand is a Dubai- and Cairo-based enterprise AI company whose ORXTRA platform lets large organisations build and deploy generative AI agents on top of their own documents, databases and workflows. Founded in 2018 by two former Microsoft executives, Ahmed Mahmoud and Mahmoud Gomaa, the company built its edge on two hard problems most Western vendors skipped: understanding spoken Arabic across its many dialects, and running useful AI cheaply enough that a bank or a ministry can afford to put it in front of millions of people. Its knowledge-mining and RAG engine removes the manual data-labelling step that normally stalls enterprise AI projects, and its agents ship as pre-built modules for customer service, procurement and HR, or as custom builds through a no-code Agent Builder that supports 20+ language models and 80+ data sources. DXwand serves financial services, government, healthcare, telecom, education, media and retail clients across MENA, has raised roughly $6.9 million to date including a $4 million Series A led by Shorooq Partners and Algebra Ventures, and says it reached about $5 million in annual recurring revenue while remaining profitable.
Contextual AI
Contextual AI is a Mountain View enterprise AI company that builds a context engineering platform for production-grade, retrieval-augmented generation (RAG) agents. Founded in 2023 by RAG co-inventor Douwe Kiela and Amanpreet Singh, it packages retrieval, reranking and grounded language models into an end-to-end system that lets regulated enterprises deploy accurate, source-grounded AI on their own documents. The company has raised $100M from backers including Greycroft, Nvidia, Snowflake, HSBC and Bezos Expeditions, and counts Qualcomm and HSBC among its users.
Nomic AI
Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Pryon
Pryon is a Raleigh, North Carolina enterprise AI company that builds a secure retrieval-augmented generation (RAG) platform for regulated organizations. Founded in 2017 by Igor Jablokov - the entrepreneur whose earlier voice-recognition company Yap became Amazon's first AI acquisition and seeded Alexa - Pryon ingests text, audio, images and video from enterprise systems and pairs that content with large language models to deliver fast, source-attributed answers. Its RAG Suite and Memory Layer are designed to run anywhere from public cloud to fully air-gapped environments, targeting customers in government, defense, energy, life sciences, manufacturing and finance where accuracy, security and verifiability matter more than novelty.
Shaped
Shaped is a New York-based AI company that builds a real-time relevance engine for recommendations, search, and agent retrieval. Its managed platform, Shaped Cloud, combines embeddings, machine-learning models, and fresh behavioral data to return personalized results in under 50 milliseconds, letting product and engineering teams add for-you feeds, hybrid search, and personalized discovery without building ranking infrastructure from scratch. Founded in 2021 by Tullie Murrell, Daniel Camilleri, and Shai Bruhis, the company raised an $8M Series A led by Madrona in 2024 and was acquired by live-commerce marketplace Whatnot in July 2026.
UneeQ
UneeQ builds AI-powered digital humans - lifelike, real-time animated avatars that give chatbots and enterprise AI a human face, voice and body language. Founded in New Zealand in 2009 as FaceMe and now headquartered in Austin, Texas, the company pairs its Synanim synthetic-animation engine and Synapse AI-orchestration brain to deploy digital humans for customer experience, brand engagement and immersive employee training across banking, airlines, telecom, retail, healthcare and government.
Couchbase
Couchbase is an enterprise NoSQL database company whose distributed, document-oriented platform powers low-latency, high-throughput applications for large organizations. Its flagship products - Couchbase Server, the fully managed Capella database-as-a-service, and Couchbase Mobile/Lite for edge and offline use - combine key-value speed, JSON flexibility, SQL-style querying (SQL++/N1QL), full-text and vector search in a single system. Founded in 2009 and long a rival to MongoDB, Couchbase went public on Nasdaq in 2021 and was taken private by Haveli Investments in a $1.5 billion deal in September 2025.
Jeen.ai
Jeen.ai is an Israeli enterprise AI company that builds an 'operating layer' for organizations to adopt generative AI securely, govern it responsibly, and scale it across business units. Spun off from ONE Technologies in July 2024 and led by founder-CEO Oded Tahori, the platform bundles chat, autonomous agents, workflow automation, governance and cost controls (FinOps), and data integrations - deployable in the cloud, on-premise, or fully air-gapped. It serves dozens of large enterprises and public bodies in finance, telecom, defense, healthcare and higher education, and is now expanding across the US, UK, Singapore and Latin America.
K2view
K2view is an enterprise data company founded in 2009 and headquartered in Yokneam, Israel, with US operations in Texas. Its patented Data Product Platform is built on a proprietary micro-database technology that organizes fragmented enterprise data by business entity - a customer, order, product or loan - so each entity's data lives in its own encrypted, real-time, individually managed database. The approach powers data integration, test data management, data masking, synthetic data generation and, increasingly, AI-ready data pipelines that ground large language models and AI agents. K2view serves large enterprises in telecom, banking, healthcare, insurance and retail, including AT&T, Verizon, Vodafone and BBVA, and has raised roughly $43 million in funding.
AI Squared
AI Squared is an enterprise AI integration company that helps organizations move machine learning and generative AI out of pilots and into the tools employees already use - CRMs, ERPs, spreadsheets, and custom apps. Its platform connects governed data sources like Databricks and Snowflake to business applications, addressing the 'last mile' problem that keeps most AI projects from reaching production. The company serves financial institutions, supply chain firms, and U.S. government agencies, and stewards the open-source reverse ETL project Multiwoven.
Atolio
Atolio is a private, AI-powered enterprise search platform that runs inside a company's own cloud (AWS, Azure, or GCP) or on-premises. It connects to workplace systems like Slack, Google Workspace, Office 365, Salesforce, and ServiceNow, then indexes them with document-level permissions so employees only see what they are already authorized to view. Founded in 2019 by Splunk and PagerDuty veterans, Atolio pairs hybrid semantic-plus-keyword search with permission-aware retrieval-augmented generation, giving enterprises secure question answering across siloed knowledge without their data ever leaving their environment.
Glean
Glean is a Palo Alto-based enterprise AI company that builds a 'Work AI' platform - a permissions-aware assistant, search layer, and agent environment that connects to a company's scattered SaaS tools and documents so employees can find answers and automate work. Founded in 2019 by former Google search engineers led by Arvind Jain, Glean crossed $200M in ARR by late 2025 and was valued at $7.2 billion in its June 2025 Series F.
Legion Intelligence
Legion Intelligence is a San Francisco company building a governed, agentic AI platform for national security and regulated enterprises. Formerly Yurts, it lets defense agencies and Fortune 500 teams deploy and orchestrate AI agents across cloud, on-prem, air-gapped, and classified networks (IL-2 through IL-6) using any large language model, with human-in-the-loop control and full auditability. Its platform has been fielded at U.S. Special Operations Command, the U.S. Army, and the Department of Energy, where it cut intelligence-summary creation time by 94% and saved staff hundreds of hours per week.
Reducto
Reducto is a San Francisco AI company that turns messy, complex documents into clean, LLM-ready data. Its agentic document platform pairs traditional computer vision with vision-language models and a multi-pass 'Agentic OCR' correction loop to parse, split, extract, classify, and even edit PDFs and other formats through a developer API. Founded in 2023 by MIT grads Adit Abraham and Raunak Chowdhuri, Reducto has processed billions of pages for AI teams and enterprises in finance, healthcare, legal, insurance, and compliance, and raised $108M total including a $75M Series B led by Andreessen Horowitz in October 2025.
StackOne
StackOne is a London-based integration platform that gives B2B SaaS companies and AI agent builders a single unified API to connect to hundreds of enterprise systems - from HR and CRM to ticketing, messaging and identity. Combining a proprietary tool-calling LLM with a real-time, privacy-first engine, it offers 200+ pre-built connectors and thousands of ready-made actions so agents can reliably and securely take actions inside the software businesses already use. Founded in 2023 by Romain Sestier and Guillaume Lebedel, the company raised a $20M Series A led by GV (Google Ventures) in May 2025 and has surpassed 1 billion API calls.
Tonic.ai
Tonic.ai builds synthetic data infrastructure that lets engineering and AI teams work with realistic, privacy-safe stand-ins for production data. Its platform de-identifies, masks, subsets, and synthesizes both structured databases and unstructured text so developers can test software, train models, and feed LLM and RAG pipelines without exposing sensitive information. Founded in 2018 by a team out of Palantir and Tableau, the San Francisco company serves enterprises across finance, healthcare, and technology and has raised roughly $56M in venture funding.
Vectara
Vectara is a Palo Alto-based enterprise AI company building a trusted, end-to-end platform for retrieval-augmented generation (RAG) and AI agents. Founded in 2022 by former Google AI researchers, it lets companies embed grounded, citation-backed GenAI - conversational assistants, semantic search, and agents - into their products while actively detecting and correcting hallucinations at runtime. Its stack includes the Boomerang embedding model, the RAG-tuned Mockingbird LLM, the open-source Hughes Hallucination Evaluation Model (HHEM), and a Guardian Agent layer, positioning Vectara as a leader in factual, secure, compliance-ready enterprise AI.
AptEdge
AptEdge is a B2B SaaS company building an AI-native support platform for technical customer service teams. Its answer engine, AnswerGPT, connects to the tools where enterprise knowledge already lives - Salesforce, Zendesk, ServiceNow, Jira, Confluence, SharePoint, Slack and more - and uses retrieval-augmented generation to turn scattered documents and past tickets into concise, grounded answers for support agents and customers. Founded in 2020 by former AppDynamics leaders Aakrit Prasad and Anthony Kilman, the company says it cuts time-to-answer for agents and counts Cisco, Everbridge and Hexagon among its customers. It raised an $11M seed+ round in June 2023 led by Stage 2 Capital.
Cake
Cake is a New York-based startup that bundles the sprawling open-source AI stack into a single managed platform, so companies - especially in regulated industries like finance, insurance and healthcare - can deploy AI inside their own cloud without wiring together 100+ tools by hand. Founded in 2022 by Misha Herscu and Skyler Thomas and launched from stealth in December 2024 with a $13M seed led by Google's Gradient Ventures, Cake handles the integration, security, governance and cost-monitoring glue around open-source components like LangChain, Ray, MLflow and vector databases, all deployed inside a customer's own VPC so data never leaves.
Credal.ai
Credal.ai is a New York-based enterprise AI startup building a control plane for company AI agents. Founded in 2022 by two former Palantir engineers, its platform connects internal company data - from Google Drive and Slack to Salesforce - to large language models while strictly enforcing existing user permissions, redacting sensitive data, and logging every prompt and action. Credal lets regulated enterprises build, govern, and deploy AI agents and MCP servers without leaking data or breaking compliance rules.
Enzzo
Enzzo is a Seattle-based AI platform that helps hardware product teams move from idea to investment-ready in roughly half the time. Spun out of startup studio Pioneer Square Labs and led by serial founder Ford Davidson, Enzzo uses generative AI and customer-supplied data to draft product definitions, requirements, user personas, competitive analysis, risk assessments, concept images, and bill-of-materials pricing - the slow, document-heavy front end of building physical products. It raised a $3M seed round in March 2024 and counts electronics and instrumentation makers among its early paying customers.