Architecture

Designed around the loop.

Signal. Context. Reasoning. Execution. Verification. Every Thyn engine is built to shorten and harden that loop.

Reference architecture.

The architecture separates the control plane from the data plane so teams can keep sensitive execution close to their environment while coordinating policy, updates, and observability.

Control planeConfiguration, access policy, model routing, deployment manifests, versioning, observability, and administrative controls.
Data planeLocal inference, event processing, decision state, private data access, execution adapters, and domain-specific tooling.
Verification planeAudit logs, eval harnesses, deterministic tests, cryptographic proofs, simulation replay, and human review paths.
Integration planeSDKs, APIs, webhooks, MCP servers, CLI tooling, browser extensions, and customer-specific connectors.

Latency as an architectural constraint.

End-to-end latency is not one number. It is a budget distributed across sensing, memory lookup, planning, model execution, policy checks, action, and verification.

T_total = T_signal + T_context + T_model + T_policy + T_action + T_verify

Design target:
minimize(T_total) subject to privacy, safety, accuracy, cost, and audit constraints.

Deployment patterns.

Mode

Where it runs

Best for
Tradeoff
On-device

User machine, workstation, phone, local node.

Low latency, privacy, offline tolerance, private context.

Hardware variability and model-size constraints.

Self-hosted

Customer infrastructure or private VPC.

Control, auditability, enterprise policy, data residency.

Operational complexity and deployment lifecycle.

Hybrid

Local execution with cloud coordination.

Balance of speed, central administration, and model flexibility.

Requires careful routing, sync, and failure handling.

Correct systems are observable systems.

Every autonomous loop should be traceable, testable, reversible, and measurable.

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