Autonomous AI agents that own a process end to end
Custom autonomous agents for sales, support, research and operations. Deployed in your stack, monitored 24/7, improved continuously.
Every service below is defined before you buy it — what it includes, how long it takes, and what it costs. Browse and buy in a few clicks, or talk to us first.
Everything needed to hand one process to an agent and keep it honest.
Custom autonomous agents for sales, support, research and operations. Deployed in your stack, monitored 24/7, improved continuously.
The boring glue work between your existing tools — routed, retried, logged, and safe to run unattended.
Traces, alerts and a runbook for every agent — because a dashboard nobody watches is a museum.
Define which actions run autonomously, which need sign-off, and which always stop — enforced outside the model, not in the prompt.
Contracts, integrations and the review that happens before real money moves.
Production-grade smart contracts — audited patterns, gas-optimized, verified on Etherscan before handover.
Protocol contracts built against known attack patterns, with economic assumptions written down before a line of Solidity.
Agents that read contracts, react to chain events, and execute pre-approved transactions — the missing bridge between LLM reasoning and blockchain state.
Most agent breaches run through a tool, not a prompt. This audits the boundary where that happens.
23 services available
Custom autonomous agents for sales, support, research and operations. Deployed in your stack, monitored 24/7, improved continuously.
A retrieval layer over your own documentation, tuned and evaluated so answers cite the source and admit when they do not know.
The boring glue work between your existing tools — routed, retried, logged, and safe to run unattended.
APIs, services and background workers built with the boring choices that stay maintainable after we leave.
Incremental replacement of aging systems, running in parallel with the old one until the new one has earned trust.
Production-grade smart contracts — audited patterns, gas-optimized, verified on Etherscan before handover.
Protocol contracts built against known attack patterns, with economic assumptions written down before a line of Solidity.
Collections, editions and drop mechanics — with metadata and royalties that behave correctly on the marketplaces people actually use.
Agents that read contracts, react to chain events, and execute pre-approved transactions — the missing bridge between LLM reasoning and blockchain state.
Traces, alerts and a runbook for every agent — because a dashboard nobody watches is a museum.
Define which actions run autonomously, which need sign-off, and which always stop — enforced outside the model, not in the prompt.
Operator-facing interfaces designed around the decisions people have to make, not around the data that happens to be available.
Designing how a product shows what an agent did, how sure it is, and where a human should step in.
Ingestion, modelling and quality checks, so the number in the dashboard matches the number in the source system.
A small set of metrics that answer real questions, with the definition of each one written down.
Two-way sync between the systems that already hold your data, with conflict handling and rate limits respected.
Connect, sign and transact properly — with the transaction UX and the failure states handled.
Infrastructure as code, sized to your traffic — no Kubernetes because someone read a blog post.
Tests, builds and releases automated — with a rollback that has actually been performed.
A focused review of what is remotely reachable, with fixes rather than a PDF of findings.
Most agent breaches run through a tool, not a prompt. This audits the boundary where that happens.
Setup guides, API references and architecture notes written and tested against a clean machine.
Integration guides for your contracts and SDKs, including the failure modes people hit in month two.
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