ExecutionSealed, policy-enforced sandboxes
BY AVM · ENTERPRISE AI ENGINEERING COMPANY
The disciplined way to build with AI.
Fixed-scope delivery. Predictable AI costs. Governance sized to your risk. Proven at the hardest bar there is: a Tier-1 regulated U.S. financial institution. If our discipline satisfies a bank's examiners, it'll satisfy your team.
FOUR STAGES · POLICY AT EVERY GATE
Business Brief
Requirements
Delivery Blueprint
Evaluation
Human reviewRequired before build
EvidenceCompiled into the audit record
ProvenCleared a Tier-1 regulated bank
ScopeFixed before work starts
ModelsYours, hosted in your walls
EvidenceBuilt into every stage
ONE GOVERNED LIFECYCLE
From intent to evidence.
Avcel combines a self-hosted, Kubernetes-based development environment with an AI development harness, deployed together inside your perimeter as one governed system. Four stages. Policy at every gate.
We say both.
Ship at AI speed. Keep the cost predictable. Govern it to the level you need.
01 · Business Brief
Work starts in your language, not a backlog format. The Roadmap Builder turns business intent into a structured brief that every later stage traces back to.
02 · Requirements
The brief becomes testable, policy-aware requirements, with your control framework attached before a line of code exists.
03 · Delivery Blueprint
AI agents plan the build, then execute it inside sealed sandboxes: isolated, air-gapped, and bounded by the guardrails you set.
04 · Evaluation
Every change is verified against the requirements and recorded against policy, producing the evidence file as a natural output of the work.
THE ANSWER
Ship at AI speed. Keep cost predictable. Govern it to the level you need.
Most alternatives give you two of the three. Avcel exists to give you all three at once.
Sealed execution
AI agents work in governed sandboxes: isolated, policy-enforced, air-gapped where you need it. The blueprint and guardrails are yours; the agents execute within them.
IsolatedPolicy-enforcedAir-gapped
Your models, your walls
Bring your own models, hosted in your environment. Prompts, code, and context never leave.
- Models
- Your choice
- Hosting
- Your environment
- Context
- Never leaves
Cost governed by design
Fixed scope and staged evaluation gates: no open-ended token bills, no surprise consulting hours. You know the spend before you start.
Fixed scopeStage gatesBudgetEvaluate
Evidence built in
Every agent action recorded against policy: who, what, which approval, which data. An audit trail as an output, not an afterthought.
Specialist agents.
One governed harness.
The AI development harness orchestrates specialist agents against your blueprint. Every action stays behind the policy gate: no model call the platform doesn't account for.
HOW IT WORKS
Seven layers. AI touches exactly one.
Every request compiles through the same seven-layer pipeline. Six layers are fully deterministic. The one layer that calls a model runs on a token budget, behind the policy gate, and never sees your raw source data.
Ingest & Normalize
Deterministic: raw inputs parsed into one consistent shape.
Project IR
Deterministic: a structured, inspectable intermediate form.
Policy Engine
Deterministic: your control framework enforced up front.
Blueprint Generator
AI · governed: the one layer that calls a model, token-budgeted and policy-gated.
Adapter Layer
Deterministic: maps the blueprint onto your stack.
Continuous Feedback
Deterministic: evaluation results flow into the next run.
Output & Deployment
Deterministic: ships with its evidence file attached.
A half-day workshop. You keep the blueprint.
We map your constraints to the reference architecture and hand you a governed-AI-SDLC blueprint, yours regardless of what happens next.