About Adaptive Sentience
Vision and architecture principles
Vision
Modern organizations increasingly rely on automated workflows that handle sensitive data, run across unreliable environments, integrate AI and tools, and must remain auditable when parts fail.
Existing solutions force unsafe tradeoffs: centralized engines assume stable infrastructure, agent frameworks lack governance, cloud platforms break in offline environments, and LLM automation lacks determinism and auditability.
Adaptive Sentience is the execution substrate designed for policy-enforced, privacy-aware, distributed workflows across untrusted nodes — where planning can suggest, policies decide, and execution proves.
Architecture Principles
Execution Under Distrust
Optimize for correctness under failure, policy compliance, and verifiable execution. Nodes and networks are assumed unreliable and potentially compromised.
Policy-Enforced Composition
Workflows behave like execution contracts: policies enforced before, constraints during, audit checks after. Not suggestions — contracts.
Offline-First Semantics
Store-and-forward mailbox, background delivery with retry/backoff, TTL expiry, replay protection. Designed for intermittent connectivity.
Built for Mission-Critical Distributed Environments
Where agent and tool call failure due to power or network connectivity is unacceptable.