ccl.aiSix subsystems. One auditable teammate.
Our Neuro-Symbolic Agentic Mesh transforms domain-specific AI from probabilistic black boxes into logic-constrained teammates — deployable across regulated industries with mathematically bounded autonomy. Click any subsystem below to explore it.
From systems of record to the spoken response.
Bounded autonomy — a mathematical guarantee.
Plan, present, defer.
The agent analyzes the situation, proposes a plan, and presents it to a human for approval. Suited to high-stakes, novel, or fiduciary decisions.
Execute — only when proven.
The agent acts autonomously only when confidence exceeds 99% and the neuro-symbolic logic check passes. A hard mathematical guarantee, not a soft threshold.
Compliance by math, not policy.
LTN constraints make regulatory violations architecturally impossible — not just monitored after the fact. FDCPA, Reg BI, HIPAA, Fair Housing enforced in neural weights.
Zero lock-in. Infinite extensibility.
SkyPilot, MCP, and open-weight LLMs mean no vendor dependency. New verticals onboard via MCP namespace — no architectural rework.
Auditable to the axiom.
Every decision logged with its triggering logic axiom, memory context, and confidence score. NIST AI RMF aligned. Ready for SEC, CFTC, CMS, and CFPB examination.
Privacy by architecture.
The agent never trains on customer data. Proprietary information is accessed in-context via RAG at inference time — HIPAA, SOC 2, GDPR compliance by design.