Tagged: rag
30 results
Chris Mahl
Chris Mahl is President and CEO of Pryon, a Raleigh-based enterprise AI company building a retrieval-augmented generation platform that turns unstructured enterprise data into accurate, source-attributed answers. With more than two decades in enterprise software, he was part of the early leadership teams at Salesforce and Informatica, later ran revenue and operations as CRO at Botkeeper and Opentron Labworks, and held an executive role at Right Media Exchange before it was acquired by Yahoo. He focuses on scaling go-to-market and operations for technology companies and positions Pryon at what he calls the 'knowledge layer' of the AI stack.
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.
What ChatGPT Actually Knows About Your Company
When a customer asks ChatGPT about your company, the answer is not pulled from your website in real time. It is assembled from what the model absorbed during training - Common Crawl web pages, Wikipedia, news, reviews, Reddit threads, job postings and structured databases like Crunchbase and Wikidata - frozen at a knowledge cutoff months before the model shipped. This story explains where that knowledge comes from, why it drifts stale, how gaps and old narratives creep in, and what companies can actually do to correct the record.
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.
Jay Chen
Jay Chen is the interim CEO of Contextual AI, the Silicon Valley enterprise company building a 'context layer' for grounded AI agents. He stepped into the top job in 2026 after co-founder Douwe Kiela and a group of researchers moved to Google DeepMind under a licensing deal. A Wharton MBA who started as a chip engineer at NVIDIA, Chen built his career across product marketing and growth roles at Confluent, Starburst, Opendoor and Twingate before joining Contextual AI as VP of Marketing, where he helped launch its enterprise RAG platform.
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.
Ethan Smith
In this episode of Lenny's Podcast, Ethan Smith, CEO of Graphite and a veteran SEO expert, breaks down answer engine optimization (AEO) - the practice of getting your product to show up inside answers from ChatGPT, Gemini, Claude, and Perplexity. He explains why AEO is the second-biggest shift in his 18-year SEO career, how it differs from traditional SEO (the head and the tail are different), why being mentioned most often across citations matters more than ranking first, and shares a tactical seven-step playbook covering question research, tracking, landing pages, and off-site citation strategies across YouTube, Reddit, and affiliates. He also debunks widespread AEO misinformation and warns of the dangers of AI-generated content and model collapse.
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.
Miso.ai
Miso.ai (Miso Technologies) builds LLM-powered search, answers, and personalization for publishers, marketplaces, and content sites. Its flagship product, Miso Answers, sits on top of a customer's own content catalog to deliver ChatGPT-style, citation-backed answers with no hallucinations - fine-tuned to each brand's voice and grounded only in their material. Spun out of privacy-centric 'small data' research at Cornell Tech's Small Data Lab, Miso helps sites like O'Reilly Online Learning and Foundry's tech publications turn their archives into trustworthy answer engines that lift engagement and subscriptions.
Orama
Orama is an open-source search company building an 'answer engine' for developers - a lightweight, high-performance stack that bundles full-text, vector, and hybrid search with automatic embedding generation and built-in LLMs. Started as the open-source project Lyra and incorporated as OramaSearch Inc. in 2023 by Issac Roth and Michele Riva, its core library ships in under 2KB and runs in the browser, on servers, or at the edge. Orama powers site search and AI answers for developer platforms including nodejs.org, tanstack.com, and solidjs.org, and its OramaCore runtime packages a search engine, vector database, and LLM interface into one deployable unit.
VectorShift
VectorShift is an AI platform that started as a no-code builder for generative AI workflows and has sharpened into an 'AI operating system for private market investors.' Founded in 2023 by Harvard classmates Alexander Leonardi and Albert Mao and backed by Y Combinator, it lets firms turn scattered deal documents, diligence notes, and institutional memory into working AI - data-room analysis, IC memos, portfolio monitoring, and LP reporting - through a drag-and-drop interface or a Python SDK, without hiring a machine-learning team.
Kusal de Silva
Kusal de Silva is the CEO of AptEdge, an AI-native company focused on solving the hard last mile of enterprise B2B technical support — complex tickets, scattered knowledge, and the engineers who untangle both. A Cornell-trained, Oxford-polished operator with two decades inside enterprise sales orgs at Citigroup and Meltwater, he took the AptEdge helm in 2025 with a sharp position: don't be the fastest answer, be the right one.
Mindee
Mindee is a Paris- and San Francisco-based AI company building an API-first platform that turns any document - invoices, receipts, passports, bank statements - into clean structured JSON. Founded in 2018 and backed by GGV Capital, Alven and Y Combinator, it gives developers pre-trained OCR endpoints plus a no-training-required custom builder called docTI.
MindsDB
MindsDB is an open-source AI data platform that lets developers connect, unify, and query structured and unstructured data across 200+ sources using SQL and natural language - turning any database into an AI-ready system without moving data.