The enterprise software company built its business making service desks easier to change. Now it wants AI to do more of the resolving - with fewer trips through the queue.
A health chatbot lost people before it could help them. Jeavio’s fix offers a useful window into a company that sells engineering, institutional memory, and a practical route from AI experiment to working software.
Your company probably knows the answer. Finding the person who knows it is another matter. Jive has spent two decades trying to close that gap.
iLearningEngines promised to turn company knowledge into useful action. Its journey from a Nasdaq listing to liquidation reveals how much an AI business depends on something older: trust.
The Oslo company connects scattered legal knowledge to custom AI workflows. Its revealing move is sending people into law firms to help build them.
The enterprise search company connected scattered workplace knowledge to the tools employees already used. Zendesk’s December 2025 acquisition puts that idea at the heart of its employee service ambitions.
The enterprise AI company is building a business around a familiar office absurdity: the answer exists, but nobody can find it. Its Alli platform connects scattered knowledge to the people and workflows that need it.
A law firm’s best precedent is often hiding in its own files. Centari is building a business around getting it out - and making the next negotiation better informed.
PromptQL began with a way to ask questions of scattered company data. Its bigger wager is that the answer only improves when the people who know the exceptions work in the same room as the bot.
MAANA tried to make industrial software remember what engineers already knew. Its knowledge graph linked the records, relationships and human judgment that conventional search left apart.
GoLinks turned an internal Silicon Valley habit into software for everyone: type go/benefits, find the answer, and let the destination change without changing the name. Its larger bet is that company knowledge should be as easy to summon as a colleague.
Delightree began with a simple suspicion: the franchise manual was not the problem. The problem was that nobody on the floor could find it, follow it or prove the work was done.
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.
The British software company spent two decades making corporate information easier to find. Now its AI-native bet is that the intranet should stop being a noticeboard and start doing the work.
NetDocuments put lawyers' files in a browser before SaaS had a name. Now it is trying to turn those files into the context layer that makes legal AI useful - without letting confidential knowledge slip past the ethical walls.
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.
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.
Most companies bought smarter models before writing down how work really gets done. Edra’s $30 million bet is that the missing product is a living, auditable instruction manual - built from the tickets, messages and exceptions employees leave behind.
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.
Inbenta spent nearly two decades teaching machines to actually understand a sentence. When the generative-AI gold rush arrived, that patience turned out to be the moat.
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.
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.
For three decades, Litera built tools for the unglamorous details of legal work - redlines, metadata, clauses, matters and client data. Now it is trying to turn that installed base into one connected AI platform without making lawyers abandon the software they already trust.
The Austin roll-up that bought its way to two dozen software products now wants to be the trusted knowledge layer underneath every enterprise AI agent.
How two Dashlane veterans turned the frustration of writing a help article nobody reads into a knowledge platform that answers back.
An all-in-one employee training platform that connects knowledge, systems, roles, and processes to deliver instant answers, job-ready training, and confident execution for every employee.
The San Francisco startup turned the tedium of writing instructions into a single click - and quietly became the record of how work actually gets done inside 94% of the Fortune 500.
The AI knowledge base that stays accurate - synced with your tools, verified by your team, trusted by every agent that depends on it.
Reimagine revenue enablement with the Rep Acceleration Platform. One governed source for coaching, content creation, and deal intelligence in the flow of work.
The Boston startup turned the most annoying part of Slack - answering the same question twice - into a business, then sold it to a company that wanted the whole workplace.