AI engineering · prototype to production

95% of AI pilots never ship. We build the 5% that do.

A senior engineer takes your stalled AI from prototype to production: evals, guardrails, retrieval, cost, and reliability. End to end, or embedded with your team.

The promise: a concrete path to production, or the audit is free.

Principal-level engineering · evals-first · end to end or embedded with your team

95%
of enterprise AI pilots never reach production (MIT NANDA)
Principal
Senior engineering does the work, no junior hand-off
Evals-first
Correctness measured, not hoped for
Or it’s free
A path to production, or the audit costs you nothing
Why pilots die

The demo worked. Production is where it breaks.

The API call is easy. Making an LLM system correct, safe, cheap, and reliable enough for real users is the hard part, and it is exactly what stalls in the 95%.

Correctness

No evals

Nobody can prove it is right. Quality silently drifts and no one notices until a customer does.

Trust

Hallucinations

It makes things up with confidence. Without guardrails and grounding, one wrong answer costs the deal.

Economics

Cost & latency

Fine in a demo, unaffordable at scale. No caching, no routing, no idea what a request costs.

Free · 2 minutes · no signup to see your grade

Will your AI pilot survive production?

Eight questions across the six dimensions that decide whether an AI system ships. You get a grade, your ship-probability, and your single highest-leverage fix.

How we work together

Start small. Low risk.

Most teams start with the free teardown, move to a fixed-fee audit, then a build, and keep us on to hold the line in production.

01

Production-Readiness Teardown

The free tool above. See your grade and your #1 blocker in two minutes.

Free
self-serve
02

Pilot-to-Production Audit

Fixed-scope review of your AI system with a concrete, prioritized path to production. A shippable plan, or you do not pay.

$6k–18k
1–2 weeks
03

Build to production

We execute the fixes: evals, guardrails, retrieval, cost, integration. End to end, or embedded with your team. Priced on the value, not hours.

$40k–150k+
fixed scope
04

Reliability retainer

Ongoing evals, monitoring, and drift control so it stays correct after launch.

$8k–20k
per month
For agencies & dev shops

Won AI work outside your depth?

White-label AI engineering

Tovasol delivers principal-level AI engineering under your brand. You keep the client and the margin. We stay invisible, no bench cost, no hiring cycle.

  • Delivered under your brand
  • You own the client relationship
  • NDA and confidentiality standard
  • Fixed-scope or weekly billing
  • Principal-level, no junior hand-off
Common questions

Straight answers

How does the audit guarantee work?
If the audit does not give you a concrete, defensible path to production, you do not pay. We agree in writing on what that means before we start.
We only have a prototype. Too early?
That is the ideal moment. The teardown is free and will tell you honestly whether you are ready to invest in production, or what to fix first.
Do you train custom models?
Rarely, and only when it genuinely helps (privacy, a narrow domain). Most production value is in evals, retrieval, guardrails, cost, and integration on top of strong off-the-shelf models, which is where we focus.
How do you price without billing hourly?
Fixed fee for the audit. Builds are priced against the value they create and quoted as a fixed scope before we start. Embedded/staff-aug is billed weekly.
Start with your grade

See if your pilot will ship

Two minutes, no signup to see your grade and your #1 blocker. Then decide if the audit is worth a call.

Run the teardown →