Investment focus

Applied AI with an operating edge.

We form and back companies where direct access to users, workflows, and distribution improves the odds.

Four markets. One test.

AI output is rising faster than teams can evaluate, govern, and trust it.

Evidence from Atlas · Flowleads

Current signal: Atlas explores connected product knowledge. Flowleads sees the data and reliability gaps in real delivery.
We look for: Product knowledge, evaluation, QA, data pipelines, observability, agent infrastructure, and governance.

Retail teams still operate across fragmented inventory, order, sales, and customer systems.

Evidence from Kwanta

Current signal: Kwanta began as a client build and became software because the same operating problem repeated.
We look for: POS, inventory, ordering, multi-channel operations, and the workflows around them.

In services, AI can change delivery speed, labor leverage, margin, and quality.

Evidence from Flowleads

Current signal: Flowleads gives Jetisu direct evidence from agencies, professional services, and operating teams.
We look for: Agencies, property and field services, professional services, and repeatable back-office work.

Companies need operating systems for AI adoption, not another isolated demonstration.

Evidence from Devtx · Flowleads

Current signal: Devtx develops informed buyers while Flowleads implements the data and workflow layer behind adoption.
We look for: Leadership programs, data readiness, workflow automation, internal agents, and change execution.

Show us the problem, your access, and the next proof point.