The British data specialist says it cut Home Office integration times from seven months to two. Its business is built around a stubborn problem: getting sensitive information to the people who can use it.
The fintech that began in San Marino is selling banks a way to connect their old systems, put their data in order and bring AI inside. Its expansion runs through an unusually practical asset: other people’s infrastructure.
Sensyne offered hospitals a share of the proceeds from AI research. A cash crisis forced a rescue, a new name and a smaller business - while its pregnancy-diabetes app found a life of its own.
Splitting a 60,000-person company’s Microsoft environment takes more than moving mailboxes. Applicable has built its business around the migrations, permissions and midnight support that keep corporate life running.
Before an AI agent can give a useful answer, somebody has to sort out the data. Infinite Lambda turns that unglamorous job into software, migration projects, and teams that can run the result.
Snowplow began with two consultants, one day of coding and a grudge against packaged analytics. Fourteen years later, its bet is that the next useful AI agent will need to know what a customer did five seconds ago - without surrendering the data to somebody else's dashboard.

Select Star turns the warehouse, dashboards and half-remembered business rules into a searchable map. For teams buried under tables, its signature trick is not collecting more metadata - it is making the useful context hard to miss.

The catalog once known as CastorDoc makes a persuasive case that governance works better when it feels like search, not paperwork. Its acquisition by Coalesce gives the friendly front door a much bigger engine room.

Every company says its data is valuable. Secoda tackles the less glamorous problem: helping people find it, understand it, trust it, and stop asking the same analyst where the revenue table lives.

The Stanford-born analytics platform turns plain-English questions into governed SQL, charts, and answers. Its cleverest move is remembering that company data has dialects, politics, and definitions of its own.

He arrived at AvePoint through engineering and stayed long enough to help explain its next era. Now Mario Carvajal works where product architecture, corporate strategy and the public story meet.

From Azure Machine Learning to blockchain oracles and governed AI, Collibra's CMO has built a career around a deceptively hard skill: explaining new infrastructure before the market has settled on the words.

The Greenwich-based fractional CMO has built a career around a stubborn corporate problem: getting people to trust, understand, and actually use new systems. At Sequentum, that assignment has become a message for the AI era - evidence before enchantment.

A Cornell-trained planner became the translator, marketer, and operator behind Intertrust's shift from digital rights to data governance - while building its India business from the ground up.

After three decades of turning scattered systems into usable platforms, Ivan Latanision has reached a wonderfully unfashionable conclusion about artificial intelligence: the cleverest model in the room is only as useful as the data beneath it.
Sequentum spent 18 years making web extraction boring enough for banks, governments and large companies. Now it is using AI to build agents quickly - while refusing to let AI guess when the production run begins.
Cyera turned a five-minute cloud connection into a map of the enterprise's most awkward secrets. Five years, seven funding rounds and a string of acquisitions later, its wager is bigger: that no company can trust AI until it knows exactly what every human and machine can see.
A request from Schneider Electric became a 12-petabyte data platform. Now Odaseva is trying to turn the least glamorous layer of Salesforce - backup - into the control plane for resilience, compliance and AI.
Most customer-data vendors promise a smarter message. Redpoint starts one floor lower - with the misspelled name, duplicate household and stale transaction that can quietly wreck the model above it.
The company began by selling the same kind of backup software its founders had left behind. Then it rebuilt the product, the pricing and the customer bargain around one stubborn premise: backup infrastructure should be Druva's problem.
The Boston software company spent a decade making old-school BI behave on new-school data. Its next customer is an AI agent - and the same boring layer may be what keeps the answers useful.
OneTrust turned a deadline called GDPR into one of software's fastest growth stories. After a bruising reset, the company behind countless cookie pop-ups is betting that the next compliance emergency will be every company's unruly fleet of AI models and agents.
The Belgian data-governance pioneer spent 18 years teaching companies what their data means. Now it is betting that AI agents need the same lesson - plus a control tower.
The Boston data company crossed $100 million in recurring revenue by challenging a lucrative industry habit: moving every last byte into one central warehouse. Its pitch is simpler - bring the query to the data.
Informatica spent three decades cleaning up the mess behind corporate software. Salesforce walked away once, came back at $25 a share, and paid roughly $8 billion for the layer that keeps AI agents from confidently acting on bad data.
BigID built a unicorn by answering a dull but dangerous question: what data does a company actually have? Ten years in, AI has made that inventory more valuable - and the company’s own reinvention more severe.
Qlik built its name by letting people wander through data instead of following a prewritten query. Then it bought the pipes beneath the charts - and turned a clever analytics engine into a much larger bet on enterprise AI.
Most privacy software records what a customer clicked. Ketch is betting that the valuable part is making the rest of the company obey it.
The 20-year-old firm sells the unglamorous work behind enterprise AI - clean data, migrated systems and accountable humans - then packages the repeatable parts as software.
AI agents are only as smart as the customer, product and supplier records beneath them. Reltio spent 15 years cleaning that unglamorous layer - and reached $185 million in ARR before SAP pulled it into the Business Data Cloud.