We rescue broken prototypes, cut inference costs, harden security, and get your AI to production. Boston-based. Fixed scope, fixed price.
Start with a real call or a lower-friction score. No six-month discovery theater.
Rescue Board
Prototype Rescue
A two-week diagnosis that tells you what is broken, what can stay, and what has to change first.
Workflow Automation
Intake, triage, classification, routing, and recommendation systems with humans still in control.
AI FinOps
Cut AI inference costs 40–70% with model routing, caching, and prompt optimization.
Private AI
For data-sensitive teams that need secure deployment, policy boundaries, and auditability from the start.
Client continuation
60-70%
move into build
Most Blueprint engagements continue because the first step produces a real scoped plan.
Example result
$12k/mo → $4.8k/mo
Model routing, prompt cleanup, and caching turned a noisy inference bill into a stable operating cost.
2 weeks
Prototype rescue diagnostics
Know what is salvageable, what is causing drift, and what has to change first.
4-8 weeks
Pilot-to-production builds
Proper controls, monitoring, fallback logic, and human approvals from day one.
$86.4k
Annual savings in one audit
Anonymized example result after routing, caching, and prompt restructuring.
60-70%
Blueprint clients keep building
The initial deliverable is strong enough that most teams continue into implementation.
Choose your starting point
Most AI prototypes break when real users show up. Slow responses, hallucinating outputs, spiraling API costs, and data leaking between sessions. We've seen these patterns hundreds of times. Our four-pillar approach — workflow productization, AI cost optimization, security hardening, and knowledge systems — takes your AI from demo to production in weeks, not months.
For the team whose demo just met real traffic
When output quality degrades, costs jump, or edge cases pile up, the problem is almost never one prompt. It is architecture, controls, and operating discipline.
Best next step: Rescue diagnostic.
Fix your broken prototypeFor teams burning hours on intake, triage, and routing
Verux is strongest when work enters an organization, gets classified, gets routed, and needs an informed recommendation with a person approving the outcome.
Best next step: AI Opportunity Blueprint.
Automate intake and triageFor leaders who know the AI bill is drifting upward
Most teams default to the most expensive model, skip caching, and never inspect token-level behavior. The spend rises before anyone can explain why.
Best next step: Cost optimization audit.
Cut AI inference costsFor regulated or high-trust environments
If sensitive records, contracts, or internal knowledge cannot leave your walls, the design has to change. This is where security posture and infrastructure choice matter.
Best next step: Security review or private AI readiness assessment.
Lock down AI securityIf you are earlier in the process, use the score as the routing layer. It helps visitors self-qualify before they commit to a call.
Take the AI Readiness ScoreProcess
Whether you built with Lovable, Cursor, Base44, or your own team — if your AI prototype hit a wall, we fix it. Fixed scope. Fixed price. No hourly surprises.
Step 1
Free · 20 minutes
We qualify the problem, understand the workflow, and tell you whether this should become a Blueprint, a rescue diagnostic, or a narrower review.
Step 2
Paid deliverable · 2-3 weeks
You leave with an actual plan: architecture, controls, timeline, priority fixes, and fixed-scope pricing for the build or hardening phase.
Step 3
Fixed scope · 4-8 weeks
We implement the production system with monitoring, approval checkpoints, cost controls, documentation, and the infrastructure decisions needed to keep it stable.
What changes in production
We isolate whether the failure mode is workflow design, model choice, missing controls, data flow, or delivery discipline.
We define fallback logic, observability, review steps, security posture, and how the workflow should behave under load.
The goal is not a flashy prototype. It is a stable first release your team can actually put into use.
After launch, we track quality, spend, and edge cases so the system stays useful instead of becoming technical debt.
Why this matters for your bottom line
Every week a broken prototype sits in production, it burns budget, erodes team trust, and delays the revenue it was supposed to generate. Our process is designed to get you to a stable, governed system as fast as possible.
Proof
Anonymized outcomes from real rescue, cost optimization, and security engagements. These are the timelines, savings, and compliance wins buyers can expect when working with Verux.
$12,000/mo → $4,800/mo
One anonymized startup engagement cut monthly inference cost by rerouting simple requests to cheaper models, introducing semantic caching, and cleaning up prompt structure.
AI FinOps2-week rescue path
Rescue diagnostics are built to answer one question fast: what is broken, what is still worth keeping, and what has to change before the next release.
Prototype RescueHIPAA · SOC 2 · GDPR
We focus on data exposure, access boundaries, deployment options, and whether the proposed architecture can survive internal governance review.
Private AI & SecurityWhy teams stay
Diagnostic 48 hours
We identify what is broken, what is salvageable, and what needs to change first.
Blueprint or Rescue 2–3 weeks
A scoped plan with architecture, controls, timeline, and fixed pricing for the build phase.
Production Sprint 4–8 weeks
We build the production system with monitoring, approval checkpoints, and cost controls.
Monitoring Retainer Ongoing
We track quality, spend, and edge cases so the system stays useful and costs stay predictable.
FAQ
Understand the problem, choose the right entry point, and know exactly what happens next. No discovery theater.
We learn where your AI initiative is stuck, where the economics are breaking, or where risk is creeping in. If the fit is real, we recommend the next engagement. If it is not, we tell you quickly.
The AI Opportunity Blueprint is a real strategic deliverable. We map the workflow, identify the highest-value build, define architecture and controls, and give you fixed-scope pricing. You keep it whether you build with Verux or not.
Usually, yes. Our prototype rescue service starts with a diagnostic when the problem is reliability, cost spikes, bad outputs, or architecture that collapses under real usage. Most rescue diagnostics are completed in about two weeks.
Diagnostics start at $2K. Blueprints usually fall between $3K and $10K. Pilot-to-production builds typically start at $15K. Every engagement is fixed scope and fixed price before work begins.
Yes. We assess data exposure, access control, auditability, and whether on-premise or private deployment is the right move. That includes work for teams thinking about HIPAA, SOC 2, GDPR, or internal data residency rules.
Diagnostic takes 48 hours. Stabilization takes 1–2 weeks. Full production hardening takes 2–4 weeks. Most rescues are complete in 3–5 weeks. We do surgical fixes to your existing architecture — no unnecessary rewrites.
Start with the AI Readiness Score. It is the fastest way to qualify whether your next move should be workflow automation, cost optimization, security hardening, or a rescue engagement.
Take the AI Readiness ScoreStill evaluating
Book the call if you want a direct recommendation. Take the score if you need a lower-friction first step.
Next level
Most companies are closer to production-grade AI than they think. The gap isn't technology — it's engineering. A structured assessment, a clear build plan, and a team that's done this before.