Core-protocol and consensus engineering
Protocol design, consensus behaviour and upgrade paths engineered by people who read the source, not just the docs — the work that sits underneath every application on the network.
Consensus, protocol engineering and distributed-systems verification — for the networks where a missed edge case isn't a bug report, it's a financial event.
Distributed systems fail at the seams — consensus edge cases, upgrade windows, adversarial incentives. We engineer, verify and operate at exactly those seams.
Protocol design, consensus behaviour and upgrade paths engineered by people who read the source, not just the docs — the work that sits underneath every application on the network.
Property-based and adversarial testing across protocol logic, smart contracts, economic assumptions and upgrade paths — before an exploit finds them first.
Nodes, relays and validators run through every protocol upgrade and hard fork — on networks where a missed upgrade window means missed blocks and slashed stake.
We cover the whole attack surface — contracts, consensus, bridges and the nodes underneath — and the economic incentives that hold it together, kept independent from delivery pressure.
Our verification assumes an attacker is already looking for the exploit — every test plan starts from "how does this break," not "does this work."
Incentive- and MEV-aware test scenarios, because in decentralised systems the exploit that matters is usually financial, not just functional.
From contract logic to consensus, node software and cross-chain bridges — we engineer and test the whole attack surface, not only the parts that are easy to reach.
A verification function kept separate from delivery teams, so findings are reported in full and are never softened by delivery pressure or deadlines.
Coverage targets and operational cadence are agreed per protocol and enforced through the release lifecycle.
Tell us about the protocol, consensus mechanism or bridge you're building — or the nodes you need operated. We'll come back with a plan built around how it could actually fail.
From consensus and contracts to bridges and validators — we engineer and verify distributed systems the way an attacker would probe them, not the way a demo needs them to work.