Financial institutions paid $3.8B in AML fines last year while spending $206B on financial crime compliance, with labor its largest cost.
Today we're launching Zomma (@ycombinator S26)
AI operations employees for finance back offices.
We start with compliance: for every cross-border transaction alert, our agent works the case end to end on the same screens your analysts use: gathers the evidence, writes the assessment, drafts the RFI. No APIs. Onboarding is an SOP and a login.
92% on OSWorld. Live compliance-ops pilots with a US RIA and a $10B AUM wealthtech.
If you run compliance or financial-crime ops, or know someone who does, let's talk → https://t.co/fJ9V0lT9ZM.
Our team at @pennant_ai is building the Corporate Governance OS for the next age of public markets. We're proud and incredibly excited to be launching with @ycombinator today.
We know this market and the pain points we are solving for firsthand, and we are thrilled to be defining a new way forward.
Lots of hard work to get here and plenty more ahead, grateful to be on this journey with @0xtotaylor!
If you touch proxy voting, shareholder activism or corporate governance, and want to shake things up, let's talk.
https://t.co/Ug6JSlUPGS
I've really enjoyed working with the Axelrod crew this batch as they've scoured the country for AI-pilled hotel operators. It turns out, the hospitality industry has turned a corner and is eager to use AI to give guests incredible experiences. Axelrod is making it happen!
Axelrod Labs @axelrodlabs (YC S26) is live.
We make boutique and luxury hotels run themselves: an agent workforce handling every non-physical front- and back-of-house task inside the hotel's existing systems, the way your staff would.
Running a hotel is a grind of manual admin. Staff get stuck on menial tasks instead of the guest experience. Small operators burn their own hours on it, large ones hire teams, and either way it kills time and margins. Existing software is just one more thing to manage. It doesn't do the work for you.
Axelrod maps the whole operation, then runs an agent workforce on top of it: a memory layer holding each property's SOPs and guest history, and an orchestration layer that routes tasks to the right role-agent. Using computer and browser use, our agents drive the existing stack (PMS, POS, RMS) the way staff do, with no APIs or integrations. One butler can cover 4x the rooms. We're trusted by Michelin Key-awarded hotels and live across four continents.
@AdrianLTStoica and I both grew up in hospitality and have worked both sides of the desk, so we know exactly where the hours go.