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.

From a Romanian think tank to enterprise AI, Shelf’s co-founder has kept returning to the same problem: useful knowledge is surprisingly easy to lose. His answer begins with the work most people would rather hand to somebody else.

Before GoLinks, Jorge Zamora drew plans for physical infrastructure and taught himself to build a social network. His next idea came from noticing how much useful software stayed trapped inside big companies.

An overflowing inbox helped give eGain its start. Nearly three decades later, co-founder Ashutosh Roy is asking a harder version of the same question: how does a business give an answer people can trust?

He started Slite to help teams write things down. Nearly a decade later, Christophe Pasquier is asking a harder question: who keeps all those answers true?

She helped turn an abandoned help-desk project into KnowledgeOwl. Now Marybeth Alexander is working on a harder question: how much of a company’s success should belong to the people who do the work?
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.

Before AI agents became a boardroom obsession, Sagi Eliyahu was asking why the same company could give a customer different answers. At KMS Lighthouse, that old question has acquired a very modern urgency.

He built MadCap Software around the people who explain how things work. Two decades later, Anthony Olivier is asking what happens when AI can produce more information than a company can keep in order.
A company can remember everything and still struggle to find an answer. From mining archives to multilingual models, amber’s co-founder has built a career around that awkward gap.

A free quiz tool brought teachers to Sameer Bhatia’s door. The companies that followed helped turn his interest in sharing knowledge into ProProfs - and a plan to build a business that lasts a century.

After nearly a decade building Dashlane, Alexis Fogel started again with Stonly. His next problem was hiding in plain sight: experts write the instructions, but beginners have to follow them.

He and his co-founder could build the product. The harder lesson was learning what to forget, what to write down, and when to pick up the phone.

He left Austin, kept building in Sarajevo, and once wondered whether to sell. Fifteen years into Helpjuice, Emil Hajric is still pursuing a global business with a short distance between the founder and everyone else.

A billing project needed better documentation. Philippe Trounev followed that inconvenience into Docsie, then kept following the questions customers asked of it.

From customer-service operations to Knowmax, Yatharth Jain has kept returning to one problem: the company knows the answer, but the person helping you cannot find it. Now he is taking that same question into the age of AI agents.
Björn Michelsen helped turn a team’s document chaos into Nuclino. A decade of collaboration software, practical writing, and a more playful form builder reveals a designer’s attention to the distance between intention and action.

An optical scientist learned to run companies, found himself wrestling with spreadsheets, and asked his neighbor to help. At QbDVision, Yash Sabharwal is still working on how knowledge travels - and when a founder should get out of its way.

Before Alexa became a household habit, Igor Jablokov was teaching computers to listen. At Pryon, the founder and chairman is working on the harder part: giving people answers they can check.

The century-old engineering firm reports roughly nine hours saved per Copilot user each week. Behind that claim is a bigger bet on keeping expertise alive—and buying much more than a chatbot.
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.