Neuro-symbolic AI for
deterministic systems
SightScale builds hybrid AI architectures that combine symbolic rules, deterministic validators, and learned models to deliver reliable behavior in mission-critical workflows.
Or email: partnership@sightscale.ai
Why AI needs structure
Probabilistic models are powerful but unreliable under constraints. Deterministic systems are reliable but
inflexible.
Neuro-symbolic
systems combine both—translating natural language intent into structure, learning where ambiguity
exists,
and enforcing rules where correctness matters.
Capabilities
The model suggests. The system enforces.
Configured Behavior Layers
Policy-driven constraints that bound model outputs to safe, allowable actions. We separate the "creative" engine from the "control" engine.
Deterministic Validation
Runtime validators that enforce invariants and reject unsafe generation before it ever reaches the user. Code-level guarantees for AI outputs.
Traceability
Full auditability and active human-in-the-loop control for mission-critical confidence. Every decision is logged, verifiable, and reversible.
Where this matters
Hardware Engineering
Validation workflows for FPGA/ASIC hardware under test and purpose-built PCBs. Constraints must be strictly enforced to prevent hardware damage.
Finance & Legal
Contract logic, financial modeling, and regulatory reasoning where "hallucination" is a liability. Outputs must cite sources and adhere to statutory frameworks.
Government & Defense
Audit-ready systems that follow strict policy instructions without deviation. Zero-trust architecture for generative outputs.
Our Posture
Research-grade rigor. Enterprise-grade constraints.
We function as a deep-tech partner for organizations facing high-stakes reliability challenges. We prioritize correctness, repeatability, and formal verification over rapid deployment of untrusted models.
Explore a Partnership
We are currently selecting pilot partners in Hardware, Legal, and Defense.
Inquire about PilotsOr email: partnership@sightscale.ai