We build AI systems for teams
that actually have to live with them.
Matter & Gas is a small development firm focused on production AI systems — the kind that need to run reliably, stay within budget, and hold up under real use.
We work with founders and teams who care about correctness, operational reality, and long-term ownership — not just getting something to demo.
Feasibility-first · Cost-bounded · Secure by design
Before we build anything, we model the risk.
AI systems often fail not because the model is wrong, but because the surrounding system can't be operated, reviewed, or trusted over time.
Before we commit to building, we slow things down on purpose.
Every engagement starts with a feasibility diagnostic: mapping constraints, identifying failure modes, defining human review boundaries, and projecting real operational cost.
Not to block progress — but to avoid building something you'll regret owning.
Describe your system.
We'll tell you what it would actually take to build and operate it.
This is a single-pass, structured diagnostic that evaluates:
- Technical complexity
- Delivery risk
- Operational and cost constraints
- Where systems tend to break in practice
Public diagnostic instance — please don't submit confidential or client-specific information.
Single pass. No follow-up questions.
Output is structured and deterministic by design.
AI Product Analyzer
Public evaluation instance. Do not submit confidential or client-specific data.
Single-pass analysis. No follow-up queries. Output is structured and deterministic.
The diagnostic may recommend scope reduction — or advise not building at all. That's intentional.
How we work
Production-first
We design for real users, real load, and long-term operation — not demos.
Cost-controlled
Explicit cost ceilings, failure budgets, and auditability are treated as first-class constraints.
Ships in weeks
Because scope is constrained by feasibility and operational reality — not optimism.
Honest by design
If a system can't be operated responsibly, we'll say so.
What we build
- Event-driven backend systems on AWS
- AI-integrated workflows with explicit human-in-the-loop controls
- MVPs, internal tools, and high-risk product foundations
- Secure, observable systems designed to evolve — not collapse
We build systems.
Not tools. Not demos.
Good fit
- Founders with real operational problems
- Teams delivering complex or high-risk systems
- Agencies that care about correctness and longevity
- Startups hiring senior or fractional technical leadership
Not a fit
- Pitch-deck validation
- “Just add AI” experiments
- Projects where it’s okay if things quietly break later
We document architecture decisions, cost controls, and operational safeguards clearly — including the tradeoffs behind them.
If you care how something works in production, not just that it works, this will feel familiar.