Laiye is a Beijing-founded enterprise automation company building a Work Execution Platform that combines Robotic Process Automation (RPA), Intelligent Document Processing (IDP), conversational AI and, increasingly, large-language-model-powered AI agents. Started in 2015 by a group of Ivy League and ex-Baidu engineers, Laiye pitches 'digital workers' that handle repetitive back-office tasks so people can focus on higher-value work. It is the only Chinese vendor named in the Gartner Magic Quadrant for RPA for five consecutive years, serves hundreds of Fortune Global 500 and China Top 500 companies, and has raised roughly US$211 million across seven rounds.
In this episode of Y Combinator's podcast The Light Cone, Flexport founder and CEO Ryan Petersen explains how artificial intelligence is transforming global logistics. Petersen details how AI already saved 2% of Flexport's ocean freight spend while improving transit time 20%, how the company aims to make ocean container shipping 8-10% cheaper, and how AI agents now make phone calls, parse contracts, detect unhappy customers, and automate freight forwarding work. He also reflects on incumbency advantages in AI, his personal 'founder mode' evolution, capital discipline, and a sweeping philosophical vision of what automation means for humanity.

Tallat Shafaat is the founder and CEO of Vectara, a Palo Alto based enterprise AI company that pioneered retrieval-augmented generation (RAG) as a service. A former core engineer on Google's Knowledge Graph indexing team, he holds a PhD in distributed systems from KTH Royal Institute of Technology in Stockholm. He co-founded Vectara in 2020 with Amr Awadallah and Amin Ahmad, led the engineering behind the company's Boomerang retrieval model and the open-source HHEM hallucination detection model, and stepped up from chief architect to CEO as the company entered its next growth phase.
WIZ.AI is a Singapore-based enterprise voice AI company that builds generative-AI voice agents ("Talkbots") able to hold natural, human-like phone and messaging conversations in local Southeast Asian languages and accents - including Singlish, Bahasa Indonesia, Tagalog, Thai and Mandarin. Founded in 2019, it helps banks, telcos, insurers and other large enterprises automate customer service, collections, telemarketing and reminders across voice, chat and messaging channels, positioning itself as a local-first alternative to global contact-center automation vendors.
AssemblyAI is a San Francisco speech-AI company that builds and serves models turning audio and video into accurate text, plus higher-level 'audio intelligence' like summaries, sentiment, speaker labels, and PII redaction. Founded in 2017 by Dylan Fox, it sells a developer-first API used to add transcription, real-time streaming, and voice-agent capabilities to software. The company has raised more than $113M across seed to Series C and reports processing over a million hours of audio a day for customers ranging from startups to large enterprises.
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.
A plain-language field guide to how large language models decide what your company is, who it competes with, and whether to mention you at all. AI does not read a homepage the way a customer does. It assembles a mental model from six raw materials - entities, relationships, sources, repetition, consensus, and freshness - and the companies that understand those six levers are the ones that get named when someone asks an AI for a recommendation.
webAI is an Austin-based sovereign AI company that lets enterprises build, train, and run custom AI models on their own local hardware instead of the cloud. Founded in 2019 by David Stout, Ethan Baird, and Tyler Mauer, its end-to-end platform - spanning the Navigator development environment, the Companion assistant, and webFrame clustering software for Apple silicon - keeps sensitive data on-device while delivering cloud-grade intelligence. The company reached a reported $2.5 billion valuation in early 2026 and serves customers across healthcare, retail, logistics, and aviation.

Kushal Byatnal is the co-founder and CEO of Extend, a New York company building a full-stack cloud for document processing. Extend turns messy PDFs, images, and emails into production-ready structured data using vision models, large language models, and human-in-the-loop tooling, and is used by teams at Brex, Chime, Flatiron Health, Opendoor, and Checkr. A two-time technical founder and Duke computer science graduate, Byatnal was an early engineer at Brex and co-founded the creator fintech Stir before starting Extend in 2023. In June 2025 the company raised $17 million led by Innovation Endeavors.

In this Y Combinator Startup School talk, Jake Heller, co-founder and CEO of Casetext, explains how his team stopped everything at $20M in revenue to build CoCounsel, the first AI assistant for lawyers, on early access to GPT-4 — a bet that led to a $650 million acquisition by Thomson Reuters. He lays out a practical playbook across three areas: how to pick an idea (target jobs people already pay for, in categories of assist, replace, or do the previously unthinkable), how to actually build reliable AI (map exactly what a professional does, turn each step into prompts or plain code, and grind on evaluations until you pass 97-99% of tests), and how to market and sell it (build a genuinely great product first, price to value, build trust with head-to-head comparisons, and watch out for pilots that never convert to real revenue).
Cognizer is a Pleasanton, California enterprise AI company that turns messy contract documents into structured, queryable intelligence. Its patented Genius technology pairs natural language AI with a knowledge graph so legal, sales, procurement, finance and compliance teams can discover, classify and analyze contracts at scale - detecting clauses, mapping parent/child document families and answering plain-language questions across millions of documents.
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.
EdgeCross (엣지크로스) is a South Korean industrial AIoT company that turns ordinary factory machines into 'smart machines' without ripping out existing equipment. Its MODLINK edge devices bolt onto CNC machines, compressors, robots and other gear to stream live data, while its MachineManager SaaS and LLM-powered MachineGPT let operators monitor, self-diagnose and literally chat with their machinery in plain language. Founded in 2015 as VITCON and rebranded EdgeCross in 2022, the company says more than 8,000 machines now run its devices, generating roughly 3.2GB of operational data per day.
Redrob is an AI company building large language models and go-to-market tools for sales, recruitment, and prospecting. Its platform combines a 700M+ contact data pool, verified emails, and real-time buying signals to help B2B teams find prospects, automate outreach, and screen talent. Founded by former international lawyer Felix Kim, Redrob positions itself as an affordable, enterprise-grade AI stack for emerging markets and cost-conscious companies, and aims to become one of the world's most-used LLM platforms by 2028.
Relevance AI is a platform for building and managing an AI workforce - teams of specialized AI agents that carry out real business work without human headcount. Founded in Sydney in 2020, the company lets operations teams, not just engineers, design multi-agent systems on a no-code canvas to run sales, marketing, research, support and back-office processes end to end. It raised a $24M Series B in May 2025 led by Bessemer Venture Partners, bringing total funding to roughly $37M, and counts Activision, Qualified and SafetyCulture among its customers.
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.
Weave Bio is a San Francisco-based, AI-native software company that automates the regulatory paperwork behind drug development. Its platform ingests preclinical and clinical study data and drafts submission-ready documents - INDs, investigator's brochures, clinical study reports and health-authority responses - in eCTD-ready format, cutting timelines that once took months down to hours while keeping human reviewers in the loop. Founded in 2022, Weave serves biotech, pharma, CROs and regulatory consultants, and raised a $20M Series A in October 2025 to bring total funding to roughly $36M.
Two companies staring at the same problem from opposite ends of the pipe. Peec AI is an analytics platform that watches how brands show up inside ChatGPT, Perplexity, Gemini and Claude, and scores them on visibility, position and sentiment. YesPress is a content operation that manufactures the citable, structured stories that make brands show up in the first place. One measures. One publishes. Together they describe the emerging discipline that marketers are calling Generative Engine Optimization.

SEO, AEO, and GEO are three overlapping disciplines describing how content gets found in the age of AI-mediated search. SEO ranks pages on Google and Bing. AEO optimizes for direct answers - featured snippets, voice, and AI Overviews. GEO optimizes for citation inside generative responses from ChatGPT, Perplexity, Claude, and Gemini. The 2026 consensus: they are additive, not substitutive.
A field report on the quiet reason mid-sized companies vanish from AI answers: not quality, not product, not people, but publishing cadence. Salesforce and Microsoft publish daily. Most companies publish quarterly. The models cite what exists, and the rest becomes a guess.
ActionAI is a New York- and Israel-based enterprise software company building reliability infrastructure for AI. Its platform lets companies build, run, evaluate and improve mission-critical AI workflows with a human in the loop, mapping data across the AI stack for granular testing and using an 'Explainable Exceptions' system to catch model errors before they cause damage. Founded by Stanford-trained engineer Miriam Haart, the company raised a $10M seed round in April 2026 to serve regulated sectors like finance, insurance, legal and logistics where accuracy is non-negotiable.
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 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.
Deep Cogito is a San Francisco AI research company building open-source large language models with hybrid reasoning - the same model can answer instantly or stop to reason before responding. Founded in 2024 by former Google engineer Drishan Arora, the company trains its Cogito models with a method called Iterated Distillation and Amplification (IDA), which lets a model improve by learning from its own reasoning rather than from human labels. Its stated goal is general superintelligence, and its flagship 671B open model competes with the strongest open systems from DeepSeek and Meta.
Delineate is a Cambridge, Massachusetts AI company building agents that accelerate clinical trial design for pharmaceutical and biotech companies. Its custom large language models and computer vision systems extract and structure data from thousands of research papers and patents - including numbers buried inside figures and plots - turning months of manual evidence aggregation into weeks. A Y Combinator Winter 2025 company founded in 2024 by an MIT PhD and an ex-Lockheed Skunkworks AI lead, Delineate works with two top-10 pharmaceutical companies and holds an NIH STTR grant with MIT.
Espresso AI is a New York-based startup that uses large language models and machine learning to automatically cut cloud data-warehouse bills. Founded in 2023 by three former Googlers, it markets a 'neural optimizer' - a set of AI agents that autoscale, schedule and rewrite SQL on platforms like Snowflake and Databricks, promising up to ~70% cost savings without changing query results. The company emerged from stealth in May 2024 with $11M in seed funding from Nat Friedman, Daniel Gross and FirstMark.
Letta is a San Francisco AI research lab and platform for building stateful agents - AI that remembers, learns, and improves itself over time. Spun out of UC Berkeley's Sky Computing Lab from the viral MemGPT project, Letta gives developers an open framework, API, and cloud service where agent state (memories, messages, reasoning, tool calls) is persisted in a database rather than lost when it falls out of the context window. The company positions itself as the open alternative for developers who want to build agents that behave less like stateless chatbots and more like continuously learning digital collaborators.
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.
Oumi (Open Universal Machine Intelligence) is a Kirkland/Bellevue, Washington-based public benefit corporation building a fully open-source, end-to-end platform for foundation models. Founded in 2024 by ex-Google, Apple, Meta and Microsoft engineers, its open software stack lets researchers and enterprises prepare data, pretrain, fine-tune, evaluate and deploy LLMs and vision-language models - from 10M to 405B parameters - anywhere from a laptop to a cloud cluster. Backed by $10M in seed funding and a coalition of 13 top research universities, Oumi pitches itself as the 'Linux of AI': a neutral, collaborative, unconditionally open alternative to closed frontier labs.
Pioneer is a San Francisco-based startup that helps climate tech companies find and win non-dilutive government funding - grants, contracts, loans, and tax incentives. It pairs large language models with an expert incentives team to match a company's sector and capital needs against thousands of federal, state, and local funding opportunities, then automates much of the application drafting and deadline management. Founded in 2022 by MIT-trained AI engineer Dimitar 'Mitko' Simeonov and Kyle Treige, Pioneer raised a $2.9M seed round led by Blue Bear Capital and says its software has helped innovators win over $186M in grants.