AI that works in production.
Not just in demos.
ContextTuned works with teams that have shipped AI and are now hitting the quality, reliability, and architecture ceilings that come next.
What we work on
Production AI problems that require depth. Not more engineers, a different lens.
Evaluation & Observability
Build the instrumentation that tells you what's actually regressing and why. Make improvements measurable, not vibes.
Architecture & Reliability
Redesign the parts of your system that fight you on every iteration. Move from fragile prototype to production-grade.
Strategy & Technical Direction
Cut through the noise. Figure out which AI investments matter for your product and which are distractions.
Who this is for
We work best with a specific kind of company.
Good fit
- ✓AI features in production that work, but not well enough
- ✓A strong engineering team missing senior AI-specific guidance
- ✓Reliability, latency, or quality ceilings you can't debug alone
- ✓A need for technical direction without a full-time hire
Not the right fit
- ×You need a dev shop to hand a spec to and get code back
- ×You're looking for a large team to scale headcount quickly
How we work
Every engagement starts with a conversation. What you're building, where you're stuck, and whether we're the right fit.
We scope tightly, work async-first, and optimize for unblocking your team. Direct access, no account managers, no handoffs.
Background
ContextTuned is founded on a decade of building AI/ML systems, from training pipelines to inference at scale, from research prototypes to production serving millions of users.
We started because we kept seeing the same pattern: strong engineering teams with AI in production, stuck on problems that needed a specific kind of experience to unblock. Not more engineers, a different lens.
Get in touch
A short note about what you're working on and where you're stuck is the best way to start.