enterprise-ai
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Coretek makes the complicated work.
A furniture-store checkout, a cloud bill, an invoice waiting for approval. Coretek builds its business in the small gaps where big technology gets stuck.
NextGen Invent makes AI do the paperwork
An MRI can stall over an implant manual. A warehouse can stall over its own data. NextGen Invent builds AI around the work that holds everything else up.
Proxet makes the complicated work.
A GIF search, a research portal, a payment platform. Behind very different products, Proxet keeps finding the same problem: the machinery underneath has stopped keeping up.
Ray Business makes the pieces work together
Your company bought the software. Now someone has to make it cooperate. Ray Business Technologies has built a business in that awkward space between a powerful tool and a useful system.
v4c.ai gets under the hood of enterprise AI
A chatbot that sounds right can still be wrong. v4c.ai builds its business in the machinery beneath the answer: data pipelines, migrations, governance, and the patient work of making enterprise AI useful.
Adroitent wants AI to clock in
The enterprise services firm is putting AI inside the work of building software, hiring teams and running operations. Its most revealing story starts with a mechanic missing a data entry.
CirrusLabs makes the boring parts of AI matter.
Before an AI system can earn its keep, somebody has to fix the plumbing. CirrusLabs has built a business around the data, controls, and working habits that make technology usable.
Addo AI makes AI do the day job
A healthcare transport provider had 50,000 daily customer interactions and a contact centre struggling to keep up. Addo AI’s answer reveals where enterprise AI earns its keep: inside the workflow.
10K sells the missing piece
A Salesforce project can have plenty of software and still lack the right person. 10K built a consultancy around finding that person, for as long as the work needs them.
TransData keeps a human in the loop.
The software and AI services company builds agents, connects enterprise systems and runs support teams. Its most revealing design choice is deciding where the machine hands the work back.
INFOLOB and the art of moving what cannot stop
A database migration is a test of everything attached to it. INFOLOB built its business inside that problem - and is now taking the same discipline into enterprise AI.
BuzzClan makes the handoffs work
A city request lost in an inbox. A college website that hides the essentials. BuzzClan has built a business around the awkward spaces between people, software and getting things done.
WonderBotz and the work after the bot
An overnight report. An invoice that posts itself. A human who handles the exception. WonderBotz is building its business around the unglamorous details that make automation useful.
Affine wants AI to finish the job
The analytics firm’s big idea predates the chatbot boom: solve a business problem once, keep the useful parts, and put them to work again.
Revel and the art of getting things built
A Seattle consultancy put people at the center of digital work. Its journey into Infogain, and now Tenarai, reveals why good design needs a route into production.
DynaTech makes the pieces talk
An order, a warehouse, a bank payment. DynaTech’s business is getting the systems behind them to agree - and its move into AI starts with the same problem.
Conscendo: The work before the wow
The Salesforce consultancy builds AI agents. Its more useful lesson is what has to happen before an agent gets to act.
bld.ai wants to make consulting run like software
The AI builder puts a global network of specialists behind one platform. Its most revealing experiment is the machinery that turns their work into proposals, projects, and payments.
Option makes data earn its keep
A Chilean consultancy follows the data from mine machinery to medical appointments. Its most useful trick is making a prediction somebody can act on.
Mobius by Gaian wants the parts to work together
From television spectrum to enterprise AI, Mobius by Gaian keeps returning to the same problem: useful technology stranded in separate systems. Its answer is a software factory that connects data, decisions and the screens people actually use.
Iozera wants to put your data to work
A Houston AI company is joining data preparation, GPU infrastructure and human supervision in one service. Its next test is turning an existing data center into an AI factory.
Augusta Hitech and the work between the systems
An ERP can record a purchase. It cannot read the room. Augusta Hitech is building a business around the emails, exceptions, and handoffs that enterprise software leaves behind.
Eucloid makes the connections count
A customer clicks. A warehouse fills. A cloud bill grows. Eucloid Data Solutions works in the gaps between those events, turning scattered enterprise data into decisions people can use.
MindHYVE.ai wants expertise to travel
A classroom, a clinic, a law office: MindHYVE.ai is building software for the work inside them. Its bet is that access to expertise depends on how intelligence is delivered.
Seanergy.ai closes the gap between knowing and doing
A bus report, a delayed shipment, a missed booking. Seanergy.ai builds the data systems and conversational agents that help businesses do something about them.
Nallas makes the connections count
A missed event. An unfinished course. A renewal that never comes. Nallas is building a business around the signals that enterprise systems keep apart.
Bluewolf’s real business is changing habits
Salesforce supplies the software. Bluewolf built a business around the harder part: getting people, processes, and customer data to work together.
Entrans makes AI clock in
A stalled healthcare pilot. An inbox full of invoices. Entrans builds AI around the awkward systems that keep a business running - and leaves people in charge of the decisions.
BeatpulseLabs teaches AI what the labels miss
A music track has a tempo. It also has a point. BeatpulseLabs is building a business around teaching machines the difference, with expert annotation and licensed multimedia data.
Digital Convergence makes the connections count.
From streaming platforms to enterprise AI, DCT works on the awkward space between systems. Its most useful lesson: faster software starts with fewer broken handoffs.