The Ontologically Bound Decision Architecture (OBDA)

Stop Burning Millions on 8-Second AI Hallucinations.

We build sub-300ms, deterministic enterprise systems. By pairing formal ontological knowledge graphs with TypeSafe’s Jev decision engine and LEAP literate programming, we replace fragile prompt chains with auditable, high-speed machine reflexes.

The Enterprise Bottleneck

Enterprises route deterministic work through unconstrained LLM loops. Latency, unit economics, and compliance all break. OBDA separates domain truth, calibrated judgment, and deliberative synthesis.

Traditional path

3-Step LLM Agent Loop

Total time ~8.4 s
Cost per turn $0.12
Reliability Probabilistic
OBDA path

Ontologically Bound Loop

Total time 180 ms
Cost per turn $0.0002
Reliability 100% Type-Safe

The Tripartite Engine

Cognition decoupled into deterministic domain truth, high-speed calibrated judgment, and deliberative synthesis — governed in a literate medium.

01 / Brain

The Brain

Ontological Graph / TypeDB

Immutable business axioms, relations, and invariants. Formal relational logic and deductive inference — not semantic proximity.

02 / Reflex

The Reflex

Jev by TypeSafe.ai

Sub-100ms typed decisions — Choice, Score, Noul — operating on parameterized subgraphs with calibrated confidence.

03 / Voice

The Voice

Foundation LLMs

System 2 synthesis, invoked exclusively for generative or unstructured exceptions — never the inner state loop.

04 / Canvas

The Canvas

LEAP

Human-in-the-loop literate specifications where domain experts and autonomous agents collaborate in version-controlled harmony.

Industry Applications

Where sub-second, invariant-bound decisions are not optional.

FinTech

In-line card fraud and transaction blocking under 100ms without breaking payment processor SLAs.

HealthCare

Automated Prior Authorization strictly bound to CMS guidelines and clinical coding ontologies.

SaaS Operations

Automated account renewal triage, churn defense, and expansion routing with zero human delay.

The 2-Week Audit Engagement

Phase 1 on-ramp: profile existing agent bottlenecks, map operational data to TypeDB and Jev, and deliver a compiled LEAP specification ready for production sign-off.

  • OpenTelemetry profiling of existing agent loops
  • Identification of autoregressive waste
  • Complete LEAP specification blueprint — business logic → TypeDB & Jev
Schedule a 2-Week Latency & Logic Audit