Aeronive Labs builds AI-native compliance solutions for regulated industries — systems that run inside your perimeter and can show the rule behind every answer.
On-premise · Private VPC · Air-gapped
Four vendors carry unresolved Type II exceptions past their renewal date. 1 Two are classified material under the procurement risk policy and require CISO sign-off before auto-renewal. 2 The remaining two fall inside the 30-day remediation window. 3
Illustrative interface. Figures shown are representative, not measured results.
Built against the regimes that bind you
Six building blocks the platform is assembled from — composed against your data estate, your regulator, and your network reality, not a reference architecture.
A private, governed model of everything your organization knows — documents, systems, decisions, and the tribal knowledge that never got written down.
Ingests from your existing stores behind the firewall. Every answer carries citations back to source, and access control is enforced at retrieval time rather than bolted on after generation.
Custom services that keep working when the network doesn't.
Edge-resident inference, CRDT-backed sync, and deterministic replay so a site, vessel, or facility stays operational through disconnection and reconciles cleanly on reconnect.
Curation, labeling, lineage, and evaluation sets built from your own data.
Versioned and attributable end to end. If a regulator asks why the system produced an output, the pipeline can answer with the exact records involved.
Machine-readable policy compiled into runtime controls.
Redaction, jurisdiction routing, refusal boundaries, and escalation paths expressed as versioned artifacts — reviewable by counsel, enforced by the runtime.
Continuous red-teaming, drift detection, and regulator-ready evidence generated from production traffic.
Evaluation is a standing process, not a launch gate. Evidence accumulates as the system runs.
On-premise, private VPC, or fully air-gapped. Your weights, your keys, your logs, no egress by default.
Deployment topology is a first-class design input, decided before the first line of integration code.
Client data leaving the perimeter under default deployment policy.
Generated answers resolvable to a cited source record.
One governed platform underneath every deployment we ship.
Continuous evaluation and drift monitoring once live.
Design commitments enforced by the architecture — not benchmark results. Measured figures are published in Research with the method attached.
We are early. Overstating that is the fastest way to lose a technical conversation, so here is the ground we actually stand on.
Recorded conversations with compliance, risk, and audit practitioners in regulated industries. What we build was scoped from those, not from a market map.
One governed core in active development — grounded retrieval, policy compiled into runtime controls, and evidence generated as the system runs. Every deployment is assembled from it.
No published benchmark results, no named reference customers. When we have measured numbers, they go in Research with the method attached.
These are the sectors the platform is architected for — each one carries its own regime, its own evidentiary standard, and its own definition of an unacceptable failure. Listed as direction, not as a client list.
We scope against your regulatory surface before we write integration code, and we hand over something your team can defend without us in the room.
We assess the data estate, the regulatory surface, and how your use cases classify under the frameworks that bind you. The output is a risk-tiered scope, not a proposal deck.
We build the Company Brain: ingestion, lineage, the access model, and an evaluation set drawn from your real queries. Nothing ships against generic benchmarks.
Local-first services are wired into existing systems — designed to degrade gracefully, tolerate disconnection, and reconcile deterministically.
Continuous evaluation, audit evidence, and change control. Your team takes operational ownership with the runbooks to keep it defensible.
A technical briefing covers your data estate, the regimes that apply, and what a first production use case would actually take. No slideware.