Geodesia G-1 adds real-time hallucination control, safety scoring, and a full compliance runtime to any existing model — on your infrastructure, with zero data leaving your perimeter.
In a standard LLM deployment, a hallucinated response reaches one user. In an agentic AI system — where models orchestrate tools, databases, and other models — that same error becomes the next agent's trusted input.
By the time the error reaches a real-world action — a clinical recommendation, a financial execution, a legal document — it has been re-confirmed multiple times and is irreversible.
Geodesia G-1 sits between your application and your base model. It intercepts every prompt before generation, evaluates every response before delivery, and maintains a complete compliance record of every inference — without seeing your training data, your model weights, or your business logic.
Non-invasive. Model-agnostic. Deployable as a single Docker container on your own infrastructure. Operational in days, not months.
Adapter training runs entirely on your own GPU infrastructure. Geodesia.ai has no network access to those machines. No data is transmitted externally during training or fine-tuning.
G-1 extracts geometric signals from the model's attention mechanism (QKᵀ projections). Base model weights are never modified. The model's intellectual property remains untouched.
Audit chains, FRIA documents, compliance records, and inference logs are written exclusively to the client's own database. Geodesia.ai does not receive telemetry.
Once deployed, Geodesia G-1 requires zero internet connectivity. No license server, no cloud telemetry endpoint, no dependency on Geodesia.ai infrastructure to operate in production.
Geodesia.ai does not access, copy, store, transmit, or process client model weights, training data, prompts, or inference responses — by design, not by policy.
Geodesia G-1 ships with full governance instrumentation for regulated AI deployment. From cryptographic watermarking and audit chains to human oversight queues and FRIA support.
HMAC tokens + human-readable disclosure in 6 languages. EU AI Act Art 50.
Append-only HMAC-SHA256 chained log. Tamper-evident. Art 12 ready.
Fundamental Rights Impact Assessment workflows. Signed PDF + JSON export.
3-level escalation chain. Auto-triggers on safety or grounding threshold breach.
Clinical decision support, patient communication, and agentic care pathways. G-1 provides real-time grounding control and full audit trails for clinical AI.
Risk assessment, investment research, regulatory reporting. MiFID II-compatible governance controls and cryptographic evidence for every AI output.
Legal research automation, document drafting, contract analysis. Every response scored for grounding before it reaches the legal team.
AI-assisted screening and evaluation. HR AI is high-risk under global AI law. G-1 provides human oversight, FRIA documentation, and audit trails.
Government service delivery with strict data sovereignty, accountability records, and operational governance. Fully air-gap deployable.
Multi-model orchestration and autonomous AI pipelines. G-1 scores and logs every agent output before it becomes downstream input or triggers an action.
| Capability | Geodesia G-1 | Cloud AI API | Raw Open LLM | In-House Build |
|---|---|---|---|---|
| Data stays on-premise | ✓ | ✗ | ✓ | ✓ |
| Real-time hallucination scoring | ✓ | ✗ | ✗ | ~ |
| Full compliance runtime | ✓ | ~ | ✗ | ~ |
| Air-gap capable | ✓ | ✗ | ✓ | ✓ |
| Cryptographic audit chain | ✓ | ✗ | ✗ | ~ |
| Agentic AI support | ✓ | ~ | ✗ | ~ |
| Time to production | Days | Immediate | Weeks | 12–24 months |