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Simple Machine Mind

SMSquared provides EvaluatorDPT, an enterprise AI decision system that delivers deterministic, policy-as-code decisions instead of probabilistic LLM outputs. The platform returns auditable YES/NO/TBD results with full reasoning traces, and is designed for safety-critical operations, compliance workflows, and AI agent guardrails. It achieved a 0.8252 Macro F1 across 44,597 held-out examples.

Traction 4/10
Dublin, United States · HQ
Founded 2025200+ followers
  • Artificial Intelligence
  • Regulatory & Compliance Technology
  • Enterprise Software
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Production systems that rely on probabilistic AI models (like LLMs) face unpredictable outputs, hallucination risks, and a lack of auditability, making it difficult to deploy AI in safety-critical or compliance-bound workflows. Teams need consistent, defendable decisions but lack a governed layer to enforce policies and explain outcomes.

Solution

EvaluatorDPT delivers a governed decision layer that executes deterministic, policy-as-code logic instead of probabilistic inference. The platform returns consistent YES/NO/TBD decisions with complete explainability metadata, including signals and reasoning traces, for every output. It enforces policy-aligned guardrails and supports intelligent escalation to human operators for edge cases where the system lacks confidence. Deployed as an inference-only API on Azure, it integrates cleanly with existing enterprise systems and maintains a secure posture with no data retention or storage of sensitive PHI/PII/PCI information.

Target Audience

Primary customers are enterprises running safety-critical operations (aviation, robotics, industrial systems), compliance-driven approval workflows (expenses, transactions), and teams needing guardrails for LLM and AI agent outputs in production.

Features

  • Deterministic decision engine: same input produces the same decision every run, eliminating prompt drift and hallucinations
  • Policy-as-code guardrails: decisions are shaped and constrained by programmable policies for compliance and safety
  • Full audit trail: every decision logs signals, vectors, and reasoning traces for transparency and regulatory defense
  • TBD escalation: uncertain edge cases automatically route to human review rather than forcing a binary outcome
  • Production-ready REST API: plug-and-play, inference-only integration on Azure with enterprise security
  • No data retention: no PHI/PII/PCI storage and no open weights, ensuring data sovereignty and privacy
  • Measurable performance: achieved 0.8252 Macro F1 across 44,597 held-out examples
This profile is AI-generated and may contain inaccuracies.