We build deterministic AI for domains where probabilistic answers aren't good enough — elderly mental health and enterprise engineering. Two products. One engineering principle.
LLMs are good at fluency. They are not, on their own, good enough for decisions where a missed call costs a life or breaks an audit. Our engineering principle is to reach for determinism — explicit rules, reproducible outputs, auditable pathways — in the places where failure is unacceptable, and to use LLMs where they genuinely help. That posture runs through everything we ship.
Two products in very different domains, built on the same principle.
Therapeutic AI companion for assisted living.
A deterministic safety pipeline designed to surface and de-escalate mental-health crises in elderly residents. Voice-first, on-device or cloud, with every safety decision traceable.
Compliance-aware configuration for every AI coding agent on your team.
An adaptive Q&A wizard that generates the full config for Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and cross-agent AGENTS.md — from a single structured interview. Deterministic, byte-for-byte reproducible, no runtime LLM.
Why the same principle shows up in both products.
Same inputs, same outputs. Byte-for-byte for EmbedIQ configurations — verified by a golden-config replay scorer. Documented routing through the crisis-detection pipeline for Lilo. Nothing that matters depends on a temperature setting.
Every decision traceable to the rule or gate that produced it. Required for FDA De Novo and HIPAA and the audit packages our customers actually have to ship. Also how we'd build either way.
LLMs help with fluency, phrasing, and user experience. Determinism runs the safety-critical pipeline — the crisis gate, the compliance enforcement, the permission tier. No probabilistic hope where the stakes don't allow it.
What is true today. We flag the rest as roadmap.
Three conversations we are actively having today.
Recruiting 2–3 facility partners for the Lilo Solace feasibility study (n=20). Free to the partner; we provide hardware, support, and the IRB package.
Start a pilot conversation →For teams in regulated industries running AI coding agents across multiple projects. EmbedIQ is MIT-licensed and on GitHub — we'll walk you through enterprise deployment, autopilot, drift detection, and compliance-platform integration (Drata / Vanta).
Start an enterprise conversation →Geriatric psychiatry, deterministic AI safety, and regulated-industry tooling. We are building an advisory board and welcome conversations about the science and the company.
Reach out →If what we're building sounds like the posture your organization needs, we'd like to hear from you.
Or email us directly at contact@pragmaticlogic.ai