AI engineering company
We work out where AI actually fits your business, build the software, agents, and models that deliver it, then keep them running in production.
Every engagement starts with a paid one-week assessment. No open-ended discovery.
Three ways we work with you. Most clients start with the first and continue into the others as the business case proves out.
01 / Decide
Work out what is worth doing before anyone writes code, and leave your team able to run it.
02 / Build
The engineering itself. Products, automations, and the infrastructure that keeps them safe in production.
03 / Own
For teams that cannot send data to a third party, or need cheaper inference at volume.
Four things that are true of us and are not true of most AI consultancies.
AnveVoice, AnveForms, CiterLabs, and ZapMind are ours. We carry the pager for them, which is a different discipline from writing a deck about someone else's roadmap.
Zero inbound network access, one scoped credential per capability, human approval on every outbound action, and an append-only audit log. It is how we run our own platform.
Eight open source projects, including an LLM firewall and an agent spend layer. Read the code before you hire us, which is more than most firms will offer.
Infrastructure as code, runbooks, and training on handover. You can run it without us. Retainers are a choice you make, not a dependency we engineer.
Products we operate, and the open source we maintain in public.
Voice AI for websites. Visitors speak, the site answers, qualifies, and routes them. Self-hostable and provider-agnostic.
anvevoice.appForms people finish. Respondents talk instead of typing, and answers arrive structured and ready to use.
anveforms.comOur applied research arm for AI visibility and guardrails, including AI search visibility tooling and LLM firewall work.
citerlabs.comCreator growth platform with automated publishing and membership tooling for social-first businesses.
zapmind.inSpend layer for AI agents. x402-compatible USDC payments with a merchant gateway SDK, dashboard, and control plane.
LLM firewall. A drop-in OpenAI-compatible proxy with a layered policy engine, jailbreak detection, and audit logs. Apache 2.0.
See every agent you run: what it costs, who spawned what, and an alert when one stops silently.
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. Prove willingness to pay before building.
Open dataset comparing published against measured voice AI latency. Every number sourced. CC BY 4.0.
MCP server for AnveVoice, so agents can reach pricing, demos, and comparisons directly.
Four stages, each ending in something you can use. If the assessment says the project is not worth doing, we tell you and you keep the analysis.
One paid week. We map the workflow, the data, and the risk, then tell you what is worth building, what it costs to run, and what to leave alone.
One system 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 before widening scope.
Infrastructure as code, runbooks, and team training. You can operate it without us, or keep us on retainer.
Send the workflow or product 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