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Simple Machine Mind | Trustworthy AI Decision Systems
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Enterprise AI Decision Systems

Trustworthy AI Decisions for Production

Build deterministic, explainable AI decision systems that teams can trust. EvaluatorDPT delivers governed, auditable decisions with real-time steering and policy-aware controls.

About Us

Deterministic, Explainable AI Decision Systems

Simple Machine Mind builds decision systems that convert unstructured inputs into governed outcomes—YES / NO / TBD—with explainability metadata so decisions are inspectable, auditable, and repeatable under uncertainty.

🎯

Deterministic Decisions

No prompt drift, no guessing. Signal-based decisioning produces consistent outcomes every run, with confidence and constraints behind every decision.

🔍

Explainable by Design

Every decision includes explainability metadata—signals, vectors, and reasoning traces that make AI behavior transparent and auditable.

🛡️

Policy-Aware Governance

Policy-as-code guardrails ensure compliance and trust. Decision steering shapes outcomes safely within defined boundaries.

Production-Ready API

Plug-and-play, inference-only Decision AI on Azure. Clean REST integration with enterprise security posture built in.

🔒

Secure by Default

No data retention, no PHI/PII/PCI stored, no open weights. Your data stays yours, with audit trails and accountability.

📊

Measurable Performance

Transparent metrics you can validate. Current macro-F1: 82.4% on multi-class, multi-label evaluation tasks.

EvaluatorDPT™ Enterprise

A decision layer that turns unstructured prompts and model outputs into governed, auditable decisions. Built for teams that need AI they can trust in production.

  • YES / NO / TBD decisioning with confidence scores
  • Signal-based reasoning (not prompt guessing)
  • Explainable "why" with decision metadata
  • Policy-as-code guardrails for compliance
  • Decision steering for safe outcomes
  • Decision Mesh: hierarchical decisions-of-decisions
  • API-first SaaS with clean REST integration
  • No training required to start
  • Automatic performance updates over time
  • Real-time, edge-ready decision patterns
View Products
DATA • SQL query results • CSV data • JSON objects Sent as JSON/text APIs • REST • Webhooks • Streaming AI OUTPUTS • GPT • Claude • Custom LLMs EvaluatorDPT Decision Engine Governed AI YES High Confidence NO Clear Rejection TBD Needs Review 📊 Explainability Signals 🛡️ Policy Guardrails ✓ Audit Trail
Services

End-to-End AI Engineering

From data pipelines to deployed APIs, we deliver production-grade AI systems with governance, explainability, and accountability built in.

AI Services

Full-Stack AI Services

Data Layer

  • Data ingestion pipelines with quality gates
  • Dataset curation, feature and label audits
  • Privacy-aware handling and retention controls

Model Layer

  • Deterministic decision models (YES / NO / TBD)
  • Explainability metadata (signals/vectors, constraints)
  • Evaluation harness (F1/precision/recall, thresholds)

API & Integration

  • Inference-only REST APIs for production
  • Security posture: auth, rate limits, audit trails
  • Low-latency delivery on Azure, built to scale

RAG & Agents

  • RAG systems with grounding and safety checks
  • Agent workflows for end-to-end automation
  • Decision guardrails and steering for safe actions

Research at Simple Machine Mind

We conduct foundational and applied research in artificial intelligence, focusing on reasoning, governed decision-making, cognitive architectures, and explainable intelligent systems.

Explore Our Research
Leadership

Meet the Team

Sankar Palamadai

Sankar Palamadai

Founder & CEO, AI Researcher

Sankar is a people-first leader and hands-on builder focused on decision-first AI. His work sits at the intersection of data analytics, governance, and AI product development—taking real-world ambiguity and turning it into deterministic, explainable, policy-aligned decisions that teams can trust. He created EvaluatorDPT, a decision engine designed for enterprise security posture, low latency, and auditable outcomes. Sankar holds a provisional patent in Cognitive Modeling and leads technology-focused engagements spanning model development, evaluation, governance, LLM integration, and secure MLOps on Azure.

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Ready to Build Trustworthy AI?

Let's discuss how EvaluatorDPT can help your team deploy governed, explainable AI decisions in production.

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