Agents can claim. AVAA DEV proves.
AVAA DEV is neither an AI nor a model. It's a control system that puts AI agents to work and refuses to call their work "done" without verifiable proof — tests, gates, a sealed record. Verification is mechanical, not another LLM acting as judge.
AVAA DEV drives the AI agents of your choice (any provider), checks their work and seals the proof.
The industry already has a name for it: verification debt. We generate at full speed — and trust doesn't keep up.
Source: Sonar, State of Code — Developer Survey 2026 ↗ (1,100+ developers). "Verification debt" — term attributed to Werner Vogels, CTO of Amazon.
The agent doesn't decide it succeeded. The control chain decides for it — and only if every link holds.
The AI agent implements the task and announces "it's done."
Deterministic tests and gates actually run.
An independent check re-reads: promises vs actual delivery.
A tamper-proof cryptographic record is produced.
"Done" status authorized — only if everything held.
A link breaks? The status stays "not done." No proof, no "done." — that's our rule: NO CODE, NO DONE.
An AI agent says "it's done." AVAA DEV doesn't take its word for it. It runs the tests, passes the gates, seals a tamper-proof record — and until the proof exists, the work is not "done." The producer never validates its own work.
Our thesis: governing agentic work means controlling it across three times — before (scope it, decide go/no-go), during (produce under control and prove it mechanically), after (harden: bugs, security, robustness). Existing tools cover only one. AVAA DEV targets all three — and at the moment that matters, the during, it proves instead of judging.
An agent announces "feature shipped ✅". On the left, you believe it. On the right, AVAA DEV demands proof before writing "done."
If a single step fails, the status stays "not done." (Illustrative demonstration — the real mechanism is reproducible.)
Other tools record after the fact or have another LLM judge. AVAA DEV does the opposite.
It blocks "done" without proof, instead of narrating the incident afterward.
vs. forensic log "we'll understand later"The producer never validates its own work. Verification is independent.
vs. the agent declaring itself successfulCryptographic seal + external verifier, against forgery of the proof by the producer itself.
vs. a ledger the producer can rigDeterministic gates and tests. Not another LLM that "judges" and can hallucinate in turn.
vs. LLM-as-judgeAVAA DEV is built under its own control: every change to its code runs back through its own verification chain. These aren't customer numbers — it's the mechanism proving itself on itself.
We check ourselves the way we check everyone else: no critical security hole in our own code to date, and the few debts — dependencies to update — are tracked and fixed, never hidden. Cleanliness isn't a badge: it's the consequence of prevention.
Internal measures from AVAA DEV's own development (its test suite is re-run at every verification step). No customer data, no traction claim. Full traceability is shown in a reproducible demo to design partners.
Everything essential to build software with governed AI agents — in one place, provider-agnostic and under control.
Create, test, validate and activate your agents (agent Forge), with AI workshop, control plane and scheduling.
Provider-agnostic: routing, capability discovery, failover and resume, cost tracking.
Multi-level memory + semantic search, project twin and state persisted across sessions.
Computer use, scoped terminal and shell, browser, code tools, files, image generation, MCP, skills & connectors.
Desktop, CLI and a multi-channel gateway (Discord, Teams, WhatsApp, Signal, mail).
From bootstrap to deployment: project onboarding, integration & deployment, isolated execution environments.
Gates, sealed proof, delivery governor, evaluations, reviews, red team and audit — the core.
RBAC, privacy (GDPR), security controls and observability.
These texts do not mandate AVAA DEV and don't make it "required." But they make traceability of what AI produces increasingly expected in regulated sectors.
Timelines updated for the late-2025 "Digital Omnibus" agreement (still provisional until published in the Official Journal). AVAA DEV sells no compliance guarantee: it provides traceability and proof, not legal advice.
AVAA DEV runs locally, with no dependency on a third-party cloud: your data stays where you decide — on-prem, private cloud or sovereign region (EU, US, or other country).
↗ Sovereign cloud deployment (EU and other regions) coming soon.
Around the already-live core — the during (mechanical proof) — the before and the after of control are being rolled out. Upcoming features — not shipped yet.
Point AVAA DEV at an existing codebase: it reads it, generates the documentation suite (INDEX, ADRs, traceability matrices), then every change runs through the governed pipeline.
Between each phase and at the end of the run: hunting for unanticipated bugs, security analysis and robustness checks — so that behind the control, the code is close to flawless.
A sovereign cloud option in addition to local execution, for teams that want it — without giving up traceability or proof.
We connect AVAA DEV to your context: your agents, the models of your choice (any provider), your tools, your code. You put them actually to work in one place — and everything they produce is checked and proven.
AVAA DEV is in design-partner access. Access is deliberately limited: we co-build with a select few partners in regulated sectors, on real cases — not a promise, a reproducible demonstration.
or directly: contact@avaadev.fr