enterprise-search
(15)
Left Right Mind wants AI to check the fine print
From a $30,000 home-services app to NASA search tools, Left Right Mind has built a business around making information useful. Its next pitch: catching the gaps between what companies promise and what they actually do.
Interact Software Wants to End the Office Scavenger Hunt
Four intranets to check. One policy to find. Interact has built a business around that mismatch - and its next act puts AI inside the everyday machinery of work.
Algolia’s First Search Product Flopped. The Pivot Now Handles 1.75 Trillion Queries a Year
A beautiful offline-search engine met a market that would not pay. One customer request later, two French engineers turned the same hard-won speed into an API business used by Under Armour, Lacoste, Slack and thousands more.
Mosaic AI Narrowed Its Bet - Then One Customer Found $375,000 in the Support Queue
Generic copilots know the manual. Mosaic AI wants to know the customer, the configuration and the last five tickets - a narrower bet that turned scattered support data into measurable capacity for enterprise teams.
ProNavigator Turned a 97-Minute Hold Into the Search Bar Insurance Bought
Joseph D'Souza started with a chatbot for stranded policyholders. The more valuable business was hiding behind the call center: helping insurance employees find the one trustworthy answer buried across PDFs, portals, inboxes, and shared drives.
amber Raised €7 Million to Build the Boring Layer Europe’s AI Agents Need
The Aachen startup began with a search box. Now it is betting that Europe’s mid-sized companies need something less visible - a governed context layer that lets AI find, explain and eventually do the work.
The Search Box Is Becoming the Company Brain
Coveo spent two decades teaching companies to find their own information. Now that same retrieval machinery is becoming the context layer beneath shopping conversations, support answers and enterprise AI agents.
The Search Engine That Learned Three Jobs
Elastic began with a recipe search problem. Today, the same engine retrieves context for AI agents, traces a failing service and helps a security analyst find the one alert that matters.
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.
Bloomfire
Bloomfire sells companies a cure for their own forgetfulness - an AI knowledge layer that makes video, PDFs and buried Slack answers searchable, and then quietly tells you which of them have gone stale.
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.
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.
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.
StackAI
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.'