ai-agents
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Bridge Ventures bets on the people who open doors
The Silicon Valley firm pairs U.S. startups with family enterprises in emerging markets. Its bet: local relationships and AI-assisted research belong in the same investment strategy.
Draper Dragon bets on the missing pieces
The venture firm linking Silicon Valley and Asia has a taste for unfinished systems. Its latest bets ask what Bitcoin, tokenized assets and AI agents still need before people can put them to work.
WTF sells the machinery behind the trade.
Waton Financial helps smaller brokers put their business on a screen. Now it wants to give investors a team of AI agents - with a human still signing off.
Akvelon makes the hard parts repeatable.
The software engineering firm is bringing AI to the unglamorous work of enterprise software: understanding old code, checking migrations, and getting the next change safely out the door.
Agiliway starts with the small stuff
A few bug fixes became part of Greenpeace’s fundraising machinery. That is the revealing thing about Agiliway: its business grows when a useful outside team becomes part of the furniture.
Auth0 made the login someone else’s problem
Every app needs a front door. Auth0 built a business taking care of the locks - then discovered that developers still wanted a key to the workshop.
Deepexi wants AI to learn the company.
A factory has its own language. So does a retailer. Deepexi is building AI employees that can understand the rules, use the tools and get on with the work.
Crombie makes the pieces work together
A mortgage workbench. A global checkout. A broken plugin. Crombie has built a software business around the difficult work of getting systems to cooperate.
The engineers who stayed
Runtime Revolution builds software for other companies. Its most revealing product may be the relationship that survives the launch.
Decision Foundry makes the data do its job.
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.
Xeven Solutions and AI’s last mile
A telemedicine camp in rural Pakistan offers a clue to Xeven’s bigger bet: useful AI needs people, practical software, and a way to reach the person at the other end.
Monto wants your invoices to skip the queue.
Big customers make suppliers jump through payment portals. Monto automates the jumping - and shows why getting an invoice accepted can matter as much as getting it sent.
Fullstory finds the cost of a bad click.
A rare checkout error can hide a very real business problem. Fullstory connects the customer’s struggle to the numbers that make somebody fix it.
Instinctools makes the complicated usable
A forklift, a pair of glasses, and a troubled content-management product explain how Instinctools built a business around the awkward space between software and the people using it.
BIOPTIC found a faster question to answer.
The team went from spotting copied NFTs to searching for drug molecules. Its next move puts AI to work on the evidence behind pharma’s business decisions.
Ciberspring makes the pieces work together.
A prettier website can still lose customers. Ciberspring’s business begins with that awkward truth - and extends from clearer buttons to the plumbing behind enterprise AI.
Bitcot makes the handoff work
A headset that could call for help. A cancer study that needed a better front door. Inside the software company building the connections that make good ideas useful.
CrecenTech wants to fix the handoff.
A website brings in the lead. A CRM keeps the record. Someone still has to make the call. CrecenTech puts the software and the follow-through on the same team.
AMW turns attention into a business
A remix contest, a Vienna hotel opening, and an AI sales assistant have something in common: AMW. The agency is turning its experience winning attention into tools for managing what happens next.
net2phone keeps the conversation moving.
A dead phone system explains the appeal of net2phone. Its next bet is that answering a call should also get the work done.
StepFun wants the whole machine
The Shanghai model maker is putting its intelligence inside phones, cars, and developer tools. Its real test is whether ambitious AI can become an affordable everyday habit.
Position² and the art of counting what counts
A ringing phone can fool a marketing dashboard. Position² builds its growth business around a harder question: which signals actually lead to a sale?
Semos Cloud makes thank you part of the system
A forgotten thank-you looks like a small problem. Semos Cloud has built an enterprise business around what happens when recognition, feedback and rewards become easier to give.
Ridgeline’s big idea: fewer moving parts.
Investment managers have spent decades making separate systems agree. Dave Duffield’s latest company asks what happens when they share the same facts from the start.
PeerIslands found the bottleneck.
Before it put AI to work on legacy software, PeerIslands moved engineers to Cayman to get around a different kind of delay. Now part of Winter, the company is betting that faster delivery starts with finding what holds the work up.
Orange Logic makes final mean final.
The company behind Lionsgate’s marketing library and Headspace’s content archive sells a deceptively difficult idea: every file should arrive with its context intact.
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.
Logz.io wants to give engineers their night back.
The company began by taking care of the logging stack. Its next bet is bigger: AI agents that investigate the incident before an engineer opens a dashboard.
SmartBug Media follows the click.
A click is easy to count. What happens next is where this HubSpot-focused agency has built its business - connecting marketing, sales, software, and the people caught between them.
Triple Whale wants the dashboard to do the work
The ecommerce company began with a spreadsheet problem. Now its bet is that the same system that measures your marketing should help run it.