Governance you canrun in production.
Every capability is designed for stateful, multi-turn agents operating under regulatory scrutiny.
Guard Catalog
Define governance as code — immutable kernels, perspective-specific identities, and behavioral probe sets for every AI interaction.
Zero-Data AI Data Plane (ZT-ADP)
Format-Preserving Encryption (FPE) and blinding across prompts, tools, MCP, and skills for 100+ sensitive entity classes. Upstream models process valid synthetic surrogates with zero raw data exposure.
L1 Precedent Decision Cache
Fast-path denial layer matching against historical verified human and L2/L3 decisions. Blocks repetitive threats in sub-10ms with zero LLM overhead, backed by self-healing verification.
TG-Sentinel:G1 MoE Model
Flagship 46B-A19B 7+1 Mixture-of-Experts foundation model for autonomous governance, high-concurrency FP8 inference, and dynamic activation steering.
Deep-Domain Expertise (DDE) Models
Specialized vertical domain models orchestrated by G1 via MCP. Validates high-risk claims and actions (e.g., robotic supply chain or medical commands) to catch hallucinations and abort unsafe execution.
Three-Layer Evaluation
Escalating depth: L1 precedent cache for instant rejection, L2 fast classifier for nuanced policy judgment, and L3 deep LLM reasoning for high-stakes adjudication.
Runtime Check & Correction
Three-stage pipeline (Precheck → Check → Correction) with rewrite, escalate, remediate, or block — under 200ms SLA.
Hybrid Reflective Endorsement
Policy Review Lane (shadow mode, team endorsement) and Runtime Review Lane (real-time approve/reject with structured rationale).
Governance Health Index
Single executive metric (0–100) combining guard coverage, alert health, review status, and drift trends.
Provenance & Audit Trail
Tamper-evident HMAC chain with version binding — export SOC 2, HIPAA, or audit-ready reports in one click.
Three layers,escalating depth.
Cost and latency scale with stakes — most traffic never leaves layer one.
Precedent Decision Cache
Sub-10ms fast-path denial. Deterministic HMAC hash matching and high-confidence (>90%) vector retrieval block known non-compliant prompts before reaching upstream LLMs. Operates in Shadow or Enforce mode with asynchronous L3 verification.
TG-SENTINEL:FAST
Fine-tuned governance judge (4B) for nuance, context, and intent classification — sub-100ms latency.
TG-SENTINEL:MAX OR ULTRA
Deep contextual reasoning (9B/27B) for edge cases and background asynchronous verification of L1 precedent decisions.
TG-Sentinel:G1 & Deep-Domain ExpertiseHierarchical AI Oversight.
Our proprietary 46B-A19B 7+1 MoE foundation model orchestrates specialized vertical domain models via Model Context Protocol (MCP) to audit, verify, and intercept high-stakes agent actions. Read More →
TG-Sentinel:G1 MoE
46B-A19B 7+1 BTX MoE (TGMoeForCausalLM). Decouples factual discipline from policy judgment across specialized experts with sub-60ms TTFT.
Deep-Domain Models (DDE)
Specialized vertical models sitting between frontier models and enterprise systems for rigorous data and claim verification in high-consequence domains.
MCP-Based Verification
G1 queries DDE models over Model Context Protocol (MCP) to cross-examine risky frontier model outputs. Can also be consumed standalone via MCP endpoints.
Mission-Critical Failsafe
Example: If a frontier model hallucinates an invalid instruction for robotic manufacturing or supply chain lines, G1 verifies the claim via DDE and immediately halts execution.
