Pick the situation closest to yours. Each page explains how the decision is made, what a delivery includes, how “done” is measured, and what it costs to start — including when another provider is the better answer.
“We have an EVM application and need a credible Solana launch plan — without our Solidity team stalling for six months.”
Cryptuon scopes, migrates, and tests EVM applications for Solana (and Stacks), delivering a costed plan and tested programs against written acceptance criteria.
“Our historical blockchain data is becoming too expensive to store and query, and we need to decide whether to change providers or change our architecture.”
Cryptuon benchmarks your real Solana data workload, compares provider, hybrid, and self-managed options, then redesigns, migrates, and operates the one that wins.
“We need to change our validator infrastructure without introducing signing risk.”
Cryptuon reviews, rehearses, and executes validator signer changes with failure drills, policy, and monitoring, so migrations do not create conflicting signatures.
“Our agent needs to pay for services, and we want to pay contributors in USDC only after an accepted action — but we need spending controls, approvals, and books that reconcile.”
Cryptuon runs controlled pilots for agent spending and accepted-action USDC payouts: bounded budgets, named approvers, evidence, and reconciliation you can audit.
“How do we compare inference providers on our actual workload, for cost, latency, and quality, instead of on their pricing pages?”
Cryptuon benchmarks managed, self-hosted, and decentralised inference on your real workload, then runs routing and reports cost per 1M tokens and latency each month.
“We need our application to work across several chains, and we need to know exactly what happens when one leg of a multi-chain workflow fails.”
Cryptuon designs, builds, and tests cross-chain integrations for named chain pairs: route-specific adapters, failure handling, test harnesses, and operations.
“We need an EVM execution engine inside our own system. Which one fits our compatibility and performance requirements — and can someone prove it on our workload?”
Cryptuon tests EVM engines (revm, evmone, geth, Zig-EVM) on your own workload, then embeds and tunes the one that meets your fork and throughput needs.
“Our strategies work in notebooks. We need dependable software around them — connectors, paper trading, limits, monitoring — without handing anyone our keys or our funds.”
Cryptuon builds and operates trading software (connectors, paper trading, risk controls, monitoring) while you keep custody, keys, venue accounts, and all decisions.
“We have to decide whether media and external data are genuine, and share sensitive records with partners, with evidence we can show an auditor later.”
Cryptuon evaluates deepfake detectors and data-attestation options on your permitted test data, then builds provenance pipelines with evidence trails you can audit.
“We want to build a forecasting or agent-competition application, with question design, resolution, and scoring that hold up to scrutiny — not a demo.”
Cryptuon builds forecasting and agent-competition pilots (question design, resolution, scoring, settlement) for teams or licensed operators. We do not run markets.
“We have a funded protocol roadmap, or a mechanism we want researched, but not the specialist engineers to deliver it.”
Cryptuon delivers funded protocol research and engineering in milestones: reproducible implementation, an evaluation report, and open-source release where agreed.
Describe the outcome you need and what is blocking it. If it is outside what we can deliver well, we will tell you and, where we can, point you to someone who can.
Describe your projectCryptuon’s 20 open-source projects are the reusable components behind these deliveries. Each has its own site, docs, and repository — and a public evidence level.