Start here
You were sent here for a reason.
Edda Labs is an engineering studio. We design and build systems that let one party prove something to another without handing over the data behind it. If someone gave you this link, they thought your problem had that shape. Five minutes here will tell you whether it does.
Who comes to us
You are deploying AI agents and hitting privacy walls.
GDPR, HIPAA, or your own compliance team. The agents work; the buyers, auditors or regulators want proof they followed the rules, and you cannot show them the data the agents read.
You have a process that depends on parties trusting each other with data none of them wants to hand over.
A buyer, a certifier, a counterparty, a regulator. Today the proof is the data itself, so someone always ends up holding more than they should.
Both lead to the same conversation.
What we solve
Four problems clients bring us, each with something shipped behind it.
- Accountable AI agentsDeploy an AI agent that can prove it followed the rules, without exposing the data it read.
- Tokenized assetsMove a real asset on-chain with its compliance intact, then put it to work as collateral.
- Identity & credentialsVerify once, prove everywhere. No organization holds a copy of the documents.
- Certification & ESGIssue certificates people can trust, backed by proof instead of paperwork.
Two things to look at
Ten minutes, in this order.
A design that ran the pitchZkyProofProve a survey without handing over the map. Designed in Midnight Build Club Cohort 1; the clickable mockup is live. 
A project on Midnight previewKarbonityA marketplace for renewable-energy certificates where the public record never ties a buyer to a certificate. Built with the Midnight Solutions Team; Pickers does the same for recycling credits.
How a first pilot usually starts
Small on purpose: measured in weeks, not months, and shaped so that a funding application, if that is the route, has something concrete to point at.
Some of the strongest work we have done began as an ecosystem-funded pilot rather than a purchase. There are programs built to fund exactly this kind of first step, and most teams never hear about them; part of our work is finding the route that fits.
It starts as a conversation, not a price list: what you need to prove, what cannot move, and where a pilot would land. The columns below are the whole of it.
What you bring
- The process, in your own words: who has to trust whom, and with what
- The data that cannot move, and why
- Someone who can say yes to a first step
What you receive
- A written spec for your case, its own profile on the framework: what stays private, what a verifier sees, what a first pilot covers
- A mockup of what the thing would look like
If the pilot is funded and runs, a prototype on the framework follows.
How it grows
Most people start at the top and move down over time. Pick the smallest first step that makes sense; if you already have funding, start at the bottom.
- Any timeLearn with usRecorded sessions in English, Spanish and Portuguese, on the channel. Open-source tools and live projects beside them. No commitment.
- FirstA conversationA short call to understand the problem, then a one-page summary of what we heard and what we would propose. If it is not a fit, we say so.
- When it fitsA first pilotA spec and a mockup from the framework, then a prototype when it runs. Often ecosystem-funded.
- On requestA workshop for your teamHands-on, on the problem you actually have. Commissioned by your team, or run when Midnight backs it.
- Before a buildAssessment or auditArchitecture assessments and contract audits, scoped before you commit. You keep the assessment either way.
- Funded and readyBuild, then hand off or adviseFor funded teams: full builds and dedicated retainers, to production quality. Fixed-fee outcomes, not developer hours.
