Built it in Lovable, Base44, Bolt, or Cursor?
Verux graduates it into production.
Your prototype proved the concept. Now it needs the infrastructure to run for real — monitoring, security, cost control, and someone accountable when it breaks at 2am.
We score readiness with TRACE, fix what's below threshold, and operate the system after launch.
The gap between “AI demo” and “AI in production” is where most projects die.
You built something that works. Users love it. But now real traffic, real compliance requirements, and real API bills showed up — and the builder tool that got you here can't take you further.
Benchmarks measure capability. Production demands reliability, cost control, and auditability. That gap is where Verux starts.
This is not a failure of your prototype. It's a graduation.
Production Graduation
From prototype to production in one sprint.
Built it in Lovable, Base44, Bolt, or Cursor? Most prototypes are 60–80% good. TRACE identifies the gaps. We rebuild the critical 30%.
Audit what you built
TRACE instruments your prototype and baselines all five dimensions. You get a written assessment of what works, what’s below threshold, and what the production path looks like.
Rebuild the critical 30%
Most prototypes are 60–80% good. We rebuild the infrastructure layer that TRACE flagged: error handling, monitoring, cost controls, fallback logic, and compliance.
Launch or hand off
We deploy a system that passes all five TRACE dimensions at production thresholds. Then you choose: own it, or we run it on managed ops.
See managed opsEvery graduation includes:
TRACE baseline evaluation, production deployment, monitoring setup, security review, cost optimization pass, and 2-week post-launch support.
Managed AI Ops
Your managed AI runtime, without building an internal team.
After graduation, Verux owns the managed runtime for your defined workflows. Every tier includes recurring TRACE evaluations so production readiness doesn't degrade over time.
Launchpad
For teams that just graduated
- 1 managed AI workflow
- Monthly TRACE re-evaluation
- Email support
- Cost monitoring dashboard
Growth
For teams scaling AI across operations
- Up to 5 managed workflows
- Quarterly TRACE + business reviews
- Slack support channel
- Model routing optimization
- Prompt version governance
Scale
For teams where AI is mission-critical
- Unlimited managed workflows
- Weekly TRACE monitoring with alerts
- Named engineer + 4-hour SLA
- Monthly QBR with leadership
- Architecture evolution planning
Four areas. One team. Full production coverage.
Your AI prototype broke? We fix that too.
If your prototype is already in trouble — hallucinations, cost spikes, architecture failures — we run a focused rescue diagnostic. TRACE identifies what's below threshold. We stabilize it in 2–4 weeks.
Get a rescue diagnosticFAQ
The questions serious buyers ask before they commit.
Understand the problem, choose the right entry point, and know exactly what happens next. No discovery theater.
TRACE is a five-dimension production-readiness audit for AI agents. It instruments your agent’s execution, measures trajectory quality, reliability, actionability, cost efficiency, and explainability — then maps every below-threshold score to a prioritized engineering intervention. You get a ranked backlog, CI gates, and a monitoring baseline.
It means taking the AI prototype you built in a builder tool (Lovable, Base44, Bolt, Cursor, etc.) and making it production-ready: proper infrastructure, monitoring, security, cost controls, and the operational layer that keeps it running for real users at real scale. TRACE identifies the gaps. Graduation closes them.
Freelancers hand you code and leave. Agencies scope projects that expand forever. Verux evaluates production readiness with TRACE, delivers a production-grade system with fixed scope and fixed pricing, then optionally runs it for you on a managed ops retainer.
Almost never. Most prototypes are 60–80% good. TRACE identifies exactly which dimensions are below threshold. We rebuild the critical 30% that makes it production-grade and keep everything that works.
Verux owns the runtime for your defined AI workflows: model routing, prompt and version governance, monitoring, cost control, incident handling, and approved enhancements. Three tiers from Launchpad to Scale. You focus on your product. We focus on the AI layer underneath.
Our engagements range from TRACE audits to full production builds. Every project has fixed scope and fixed pricing — no hourly billing, no surprise invoices. The TRACE audit is typically completed in two weeks.
Take the AI Readiness ScoreStill evaluating
We can tell you quickly if this is a fit.
Book the call if you want a direct recommendation. Take the score if you need a lower-friction first step.
Ready to graduate?
Book a TRACE audit to see where you stand, or take the free readiness score for a quick self-assessment.