Embed first.
We move into your operation. We meet the people doing the work, watch the system in motion, and map the friction before we touch a line of code.
VLCTY is a venture studio. We design, build, and deploy AI systems for mid-market operators. Fees plus equity or revenue share: outcome-aligned, never hourly.
Real workflow output from one of the portfolio companies. Agents dispatched from a single command, executed in parallel, audited end-to-end. This is what your operation gets when it ships on the platform.
We think differently than any other venture studio. We are data scientists at the core, full-stack engineers who happen to be very good at business.
Every entity in the portfolio (every dealer, document, agent, workflow) sits in one graph database. We don't write SQL. We traverse relationships.
Where most studios script if-statements, we train classifiers, ship embeddings, and let the data tell us where to draw the lines.
We've all shipped production systems with revenue on the line. The studio is a bet that data science finally has a viable business model: become operators.
We move into your operation. We meet the people doing the work, watch the system in motion, and map the friction before we touch a line of code.
Every system we build assumes humans should not be the bottleneck. Agents own the workflow; people own the exceptions.
We hand back a working system, the playbook to run it, and the option to keep us on. Most studios make themselves indispensable. We make ourselves leavable.
Each portfolio company was designed, built, and launched from scratch. Each runs in production on LVNG. Each one feeds improvements back to the rest of the fleet.
Desktop interop for trading floors.
Clinical wellness with personalised protocols.
Behavioural intelligence for mid-market HR.
Multi-agent psychometric assessment.
Agent framework for automotive operations.
The agentic harness powering everything above.
The studio is hyper-selective. We'd rather build less with the right partners than more with the wrong ones.
We've passed on good companies when the fit wasn't there, and taken on smaller deals when the people were right.
Most of the portfolio came through introductions: a portfolio company, a sponsor, a mutual contact. That's the cleanest path in.
Fees plus equity or revenue share. We charge, but we also build like co-founders. Outcomes keep every choice honest.
Have a way in, or think there's a fit anyway? Send a note. We read every message. We reply when there's something to say.