Jetty Secures $2M+ Pre-Seed to Develop Audit-Ready Infrastructure for Agentic AI Workflows

AI demos today feel like a nightclub magician doing card tricks next to the ATM. Cute for 30 seconds. Then somebody from compliance walks in, somebody from legal starts sweating through their vest, and the whole “autonomous agent revolution” suddenly sounds like a karaoke machine with venture funding.

That tension is exactly why Jetty pulling in $2M+ in Pre-Seed funding matters. Not because the AI market needs another noise machine screaming “agents” into the void like a guy at 2 a.m. trying to explain crypto over chicken wings. The market needs infrastructure. Discipline. Receipts. Somebody has to build the plumbing before everybody starts flooding the basement with half-baked automation.

Jonathan Lebensold saw the gap early. PhD in privacy and machine learning. Time spent at Meta AI and Google. Enough scar tissue to understand that enterprise AI is not won by flashy demos. It is won by reliability, observability, and systems that can explain what the hell they just did after the model takes action. That’s where Jetty starts getting interesting.

The Montreal company is building infrastructure for agentic AI workflows that run inside isolated sandboxes, evaluate themselves, improve outputs, and leave behind a traceable trail of decisions instead of disappearing into algorithmic fog like a politician after election season. Smart move. Enterprises do not just want AI that can think. They want AI that can defend its homework when something breaks at 4:37 on a Friday afternoon.

AQC Capital led the round with David Dufresne involved, alongside co-lead Hidden Layers Capital and Therence Bois. Mila Ventures joined the mix too, which carries weight when you understand how deeply Montreal’s AI ecosystem punches above its size class. Then you add strategic investor Akinox Inc. and Alex Dahl into the equation, and suddenly this starts looking less like speculative AI tourism and more like experienced operators placing chips on infrastructure that enterprises will actually need.

The operating bench matters too. Tracy Milner stepping in as fractional COO brings inception-to-exit experience that most founders only talk about on podcasts after their third espresso. Roberto Cipriani, formerly CTO/COO at Paper, adds another layer of operational credibility from somebody who has lived through scale instead of just posting motivational threads about it. Ezra Hopkins shaping product around agentic AI workflows tells you Jetty is not building this thing from an ivory tower whiteboard session. There is operational gravity behind the product decisions.

The deeper signal hiding underneath this raise is simple. AI is entering its “show me the audit trail” era. The gold rush phase was loud. Everybody wanted agents. Everybody wanted automation. Everybody wanted the robot intern that never sleeps. Now the grown-ups are walking into the room asking harder questions. Can the system evaluate itself? Can teams monitor decisions? Can enterprises trust the output when money, healthcare, operations, and risk are involved?