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Averiom
The operating system for physical safety: learn tacit constraints from human micro-corrections, predict boundary violations, and apply tiered inhibition — with evidence by design.
Edge latency
< 5ms
Prediction horizon
150–300ms
Cloud dependency
Zero
Hardware coupling
Agnostic
Why now
Automation is too rigid; manual work is too risky. Physical AI is moving fast, but safety and trust trails capability. Averiom is the missing control layer: learn negative constraints, predict violations, and enforce envelopes at the edge.
Moat
- Constraint learning from real correction events (not scripted labels).
- Edge-native runtime (latency budget is designed, not hoped for).
- Portable profiles + evidence events (auditability baked in).
- Cross-domain primitives: the same stack maps to many verticals.
Raise & milestones
Use this page as the clean investor entry point: keep the narrative calm, measurable, and safety-critical.
Raising
$3M seed (placeholder)
Update amount / timing in copy.
Next 90 days
- Design-partner pilot (industrial or medical)
- Edge runtime demo: prediction + tiered inhibition
- Evidence pack format + signing
12 months
- 2–3 deployed pilots
- Reusable profiles / constraint marketplace (v0)
- Category-leading latency + reliability metrics