Most companies treat AI as something engineers add. David ran it as a job for the whole company: every team, every role, measured results.
We design an AI team around how your business works, build it into the tools you already use, and lead it until it runs.
1Requests come in
2Agents work
3Checked, approved
Queue clear
Nothing waiting
4Shipped, watched
Invoice copy, ticket #4817
The problem
Each person picked their own tools, built their own skills and explains your company to a chat window from scratch every day. What one of them figures out stays on their laptop. The AI bill grows, and the company's results don't move with it.
“[AI agents] are only as effective as the systems they operate within. If those systems are fragmented, the agents will scale the fragmentation.”
The model
You don't micromanage your people. You give them a role, a budget and the context to do the job, and you check what matters. An AI-native company runs its agents the same way.
Your company written down once, so every person and every agent works from the same picture instead of starting from zero.
Each agent has a job, a place in the org chart and a spend cap. Work moves between agents and your tools, not between browser tabs.
Runs pass the checks you set. Humans approve whatever you choose to gate: outbound email, merges, publishing.
Someone's job is to make it work: what the agents take on next, how they're tuned, and when to stop one.
AI Transformation
Two ways to work with us. Either way, we design the team around how your business works and build it in your own environment, on your keys, connected to the tools you already use.
Who it's for
Everyone has a subscription. Nobody can show you what it changed.
AI landed on your desk as a second job. Every team runs it its own way, and you still answer for what it does, what it costs and what it gets wrong.
You can't govern every personal setup with a policy doc. Give AI roles, gates and a log, and there's finally something to govern.
Best fit: agencies, SaaS companies and studios growing faster than they can hire, with repeat work in support, growth, QA, prototyping or automations.
Products
One source of truth for every team and every agent.
Write your company context once (vision, audience, scope, rules), decide who sees which part, and serve it live to Cursor, Claude Code and any AI agent.
Visit contextcore.md →Score how much of each person's week runs through AI, then see your team side by side.
A second opinion on a decision, an audit of your setup, or a working session with your leads. Hourly, day-rate or monthly retainer. The first call is on us.
Who you're working with
Fifteen years in tech, building products and scaling organizations. Jack of all trades: tech, product, business.
Co-founded EasySize (AI for fashion sizing, from scratch to PMF and profitability over eight years). Most recently ran tech, product and strategy at Cludo (site search product, company-wide AI rollout, the best-selling quarter in the company's history).
Click or tap to flip
Every company I talk to already uses AI. Almost none of them have organised it. The tools aren't the hard part anymore. Ownership, context and gates are.
babaVC is a Copenhagen studio that builds AI-native companies. It's run by David Babayan, who co-founded EasySize and most recently ran tech, product and strategy at Cludo, where the whole company went through an AI transformation and had its best-selling quarter.
When you work with babaVC, you work with David directly.
Tomorrow's winners won't be companies that replace humans with AI. They'll be the ones who leverage their
talent pool tenfold because of it.
Book a 30-minute call. We'll tell you in the first ten minutes whether we're the right fit.
Book a call →