AI Product Prototyping
Define the thinnest useful product and ship it fast enough to learn from real users.
- Problem framing and success criteria
- Rapid UX and technical prototyping
- Go/no-go recommendation
Applied AI Product Engineering
Serious software,
not AI theatre.
MX+C partners with founders and product teams who need working AI systems, not slide decks. We scope aggressively, build quickly, and stay accountable to outcomes.
- Prototype first Early validation before heavy build-out
- Weekly checkpoints Transparent updates and explicit tradeoffs
- Production mindset Maintainable systems from day one
Built for ambitious product teams in fintech, climate, insurance, and spatial data.
Services
What we deliver
We focus on small, high-impact engagements that remove technical uncertainty quickly.
Model + Data Pipelines
Turn messy data and notebooks into repeatable, testable workflows.
- Data ingestion and quality checks
- Model training and evaluation loops
- Monitoring-ready outputs
Production AI Features
Integrate inference and automation into your product with reliability and clear ownership.
- API and service integration
- Guardrails and fallback behavior
- Rollout and instrumentation
Delivery Model
How an engagement runs
Scope
We align on the outcome, constraints, and what “good” looks like.
Build
We deliver in short cycles with visible progress and decision logs.
Prove
We test against real data and user behavior, not happy-path demos.
Handover
You get a maintainable system plus clear next steps for scale.
Example Work
Typical project outcomes
Geo-imagery annotation assistant
Designed a workflow for prioritizing aerial imagery review and reducing manual annotation overhead.
Decision-support prediction service
Built a reliable API-backed prediction feature with explicit uncertainty and clear operational controls.
Start here
Have a real problem to solve?
Send a short brief. If we can help, we will suggest a practical first sprint.