Invariant Engineering Group

AI-backed software systems that must work.

We design and build production-grade systems for document intelligence, data extraction, and agent-driven workflows—engineered for correctness, traceability, and failure-aware operation.

Not demos. Not prototypes. Systems designed to survive real constraints.

Experience:

20+ years building production software
AI systems in active use
Our Systems

What We Build

We design and deliver systems such as:

Document intelligence pipelines

OCR, classification, structured extraction, and validation into clean, usable data.

Schema-first data extraction

Deterministic + AI hybrid pipelines that produce predictable JSON, not probabilistic text.

Document generation systems

Automated generation with traceability, validation, and reproducibility built in.

Agent-orchestrated backends

Multi-step workflows using constrained agents, tooling, and explicit state management.

Production AI integrations

AI embedded inside real systems—APIs, databases, and workflows—with guardrails and observability.

Our Approach

How We Engineer AI Systems

Most AI failures aren't model failures—they're systems failures.

We design software with explicit assumptions, validation boundaries, and failure modes. Where AI is probabilistic, we make everything around it deterministic.

Our work emphasizes:

Correctness over cleverness

Explicit schemas and contracts

Traceability and provenance

Controlled orchestration, not autonomous chaos

This is not philosophy. It's how production systems survive.

Where This Matters

Built for Real Constraints

These systems are often deployed in environments with:

Legal or compliance requirements

Operational risk

High cost of error

Audit or review expectations

We don't sell "regulated AI." We build systems that hold up when scrutiny exists.

Credibility

Experience That Compounds

20+ years building production software

Deep experience with enterprise systems, data pipelines, and the constraints that matter in production.

AI-backed systems in active use

Not theoretical frameworks—systems processing real data, serving real users, under real constraints.

Ongoing research and public speaking

ISACA presentations, industry research, and continuous learning from the field.

Patterns from live systems

Solutions derived from actual deployments, not whitepapers or proof-of-concepts.

If You Need This to Work, Talk to Us

We take on a limited number of projects where rigor matters.