AI agent engineering
We design, deploy, and operate production agent systems with real permissions, approval gates, and audit trails.
Four ways to work with us, from a scoped assessment to running agents as part of your operation.
We start by finding which workflows an agent should own and, more usefully, which it should not. You get a decision you can defend to your board: where agents pay off, what they cost to run, and the failure modes to design against before anything ships.
We run the agents for you. Research, content, support triage, monitoring, reporting. You review the output and approve the actions that leave your systems.
Production infrastructure for agent runtimes: isolation, secret management, approval gates, audit logging, cost controls, backups, and a kill switch that actually works. Deployed in your cloud, handed over with runbooks.
When prompting stops paying, we finetune on your domain data: dataset construction, training, evaluation against a held-out set, and deployment behind a stable endpoint so you can swap the model without rewriting the application.
AnveAI's own operations run on an agent platform we built and maintain: isolated agents on a locked-down cloud host, no inbound network access, every external action gated behind human approval, and a full audit trail. We deploy for clients what we already trust with our own business.
No inbound ports. Operator access runs through an identity-aware tunnel.
One secret per capability, granted per agent, revocable without redeploying.
Sending, publishing, pushing, and deploying stop for a human every time.
Who did what, under whose approval, with what result. Written to an append-only log.
Software we build, sell, and operate.
Voice AI
Voice AI for websites. Visitors speak to your site and it answers, qualifies, and routes them. Self-hostable and provider-agnostic, so the model keys stay yours.
anvevoice.appForms
Forms people finish. Respondents talk instead of typing, and the answers arrive structured and ready to use. Built for intake, research, and feedback at volume.
anveforms.comPublic work you can read before you hire us. Licensed for use, not just for show.
Spend layer for AI agents. x402-compatible USDC payments with a merchant gateway SDK, dashboard, and control plane. Non-custodial, self-host or cloud.
LLM firewall. A drop-in OpenAI-compatible proxy with a layered policy engine, jailbreak detection, audit logs, and a dashboard. Apache 2.0.
See every agent you run: what it costs, who spawned what, and an alert when one stops silently. Zero-instrumentation fleet inventory and lineage.
Self-hostable, provider-agnostic voice AI platform. Bring your own model keys.
Autonomous bug bounty and offensive security operations, packaged to run as a unit.
Evidence-first business idea discovery for coding agents. Find a workflow people already pay to fix, then prove willingness to pay before building.
Open dataset comparing published against measured voice AI latency. Every number sourced, protocol reproducible. CC BY 4.0.
MCP server for AnveVoice, so agents can reach pricing, demos, and comparisons directly.
Short cycles, working software at the end of each one, no six-week discovery phase.
A paid assessment week. We map the workflow, the data, and the risk, then tell you what is worth automating.
One agent doing one real job in your environment, with the security model in place from the first commit.
Run it against live work. Measure output quality, cost per task, and the approvals it actually needed.
Infrastructure as code, runbooks, and training. You can operate it without us, or keep us on retainer.
Send the workflow you have in mind and the systems it would touch. You get a written answer with an approach and a rough cost, not a discovery call.
Prefer email? hello@anveai.com