The New York consultancy connects scattered enterprise data, rebuilds awkward workflows, and puts AI where people can use it. Its most revealing work begins with the tools customers already own.
A mortgage can stall between the people who make it happen. Xpanse is building software for those awkward handoffs - from the first document to the final decision.
Four healthcare apps. Five financial systems. One stubborn problem: the work that falls between them. Inside the Ukrainian software company building the connections.
A troubled rewards app explains this engineering firm better than a stack of buzzwords. Its business is making the machinery behind financial products behave.
A routine Medicaid update exposed more than $16 million in lost revenue. The Ohio software company’s real specialty is finding what falls through the cracks.
A bookmaker paying twice for the same player. A dashboard too slow to trust. BizAcuity builds the data plumbing that turns expensive confusion into decisions people can use.
Before an enterprise can trust its AI, it has to trust its data. BBI builds the pipelines, cloud platforms and operating discipline that make that possible.
A housebuilder, a bus operator, and an aerospace supplier reveal the same problem: information is only useful when somebody can act on it. CoStrategix builds the connection.
The hard part of enterprise technology is getting the pieces to work together. Jean Martin has built a business around that problem, from investment research to governed AI.
A sale, a shipment, a patient record. Lirik works on the awkward handoffs between enterprise systems - where expensive software meets the way a business actually runs.
Mobilize.Net built a business translating old software into new platforms. In 2023, its two buyers revealed just how far that idea could travel.
Before an AI system can give a useful answer, somebody has to make the data agree. DataFactZ has built a business around that surprisingly stubborn job.
Before an AI agent makes a decision, someone has to check its facts. Ataccama has built a business around that deceptively difficult job.
Banks and telecom operators have plenty of data. Hoonartek’s business is making it agree, arrive on time, and support decisions someone can explain.
Before a business can ask its data smarter questions, somebody has to fix the plumbing. Anblicks has built its business around that unglamorous, consequential job.
A machine stops. Someone writes it down. TVS Next is building a business in the gap between those two events - and what happens next.
The company that began with conservation maps now puts spatial analysis inside the corporate data warehouse. Its next wager: letting a conversation do the work of another request to the GIS team.
Rivery built a business around the awkward gaps between data tools. Inside Boomi, its wager is getting bigger: make the entire journey manageable, from the first database change to the last dashboard refresh.
The Kearney-owned consultancy works where enterprise ambition meets spreadsheet reality. Its most revealing projects show why buying better software is only the beginning.
The New Jersey company works where enterprise ambition meets messy data. Its bet: industry knowledge, connected systems, and someone watching the cloud bill matter as much as the model.
The enterprise AI boom has a paperwork problem. Teqfocus sells the connections, controls and workflow repairs that help a clever demo become useful work.
A claim form, a training course, a missing policy: Beyond Key makes its living in the awkward gaps between the software companies buy and the work people need to finish.
A financial firm can buy more data and still know less than it thinks. GoldenSource has built a business around making the numbers agree - and is now bringing that discipline to AI.
A dashboard can be replaced in an afternoon. The business rules hiding inside it are another matter. USEReady has built a business around carrying that inconvenient knowledge into the cloud - and now into AI.
Neeva made a search engine with no ads, a real web index and AI answers that showed their work. Its toughest query turned out to be simpler: how do you get people to change a default?
Kubit began with a CTO's irritation at product analytics that separated answers from the underlying data. Now it is trying to join an AI agent's trace to the one result that matters: what the person did next.
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.
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.
The idea behind Soda is almost rude in its simplicity: software gets tested before it ships, so why does data get to skip the exam? Two Belgians decided it shouldn't.
Grayson Lafrenz started a cleaning company, hired an SEO agency he couldn't understand, and brought the work in-house. What grew out of that frustration now runs roughly $800 million in ad spend through software Power Digital wrote itself.