Decision systems.
Rules, models and agents that resolve exceptions and support decisions, with a person where the consequence calls for one.
Applied AI. Built for real operations.
Studio Labs builds AI systems that find losses, cut operating costs and speed up critical decisions, integrated with the data and processes you already run. Measured in money, not in demos.
Applied AI and software engineering. In production since 2023.
Applied AI, running in production at companies like these.
AI that never reaches the P&L is a cost, not an investment.
The model was never the hard part. Wiring it into your systems, your processes and your controls, and proving the financial result, is. Three ways it stalls:
The pilot that never shipped.
It looked sharp in the demo, then went back in the drawer the moment it had to touch real systems, real data and real controls.
The vendor that delivered a deck.
The contract ended, the slides stayed, and the losses the project was meant to stop are still on the books.
The hire you cannot make fast enough.
A senior AI engineer takes months to land, costs a fortune fully loaded, and the best one leaves for a global startup.
Built inside your operation,
then handed to your team.
One team takes the problem from diagnosis to a system in production: product, engineering, data and AI. We size what the problem costs today, what solving it costs and the net benefit, then stay until your team runs it alone.
Most companies do not lack AI tools. They lack a team that builds the system around them and keeps it running every day.
Production-ready from day one. Product, data, AI and infrastructure built together, running inside your stack.
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Five fronts. One team.
Decision systems, visual intelligence, data and knowledge engineering, custom software and applied AI for operations. We build the whole system in production, not one layer of it.
One team, no handoff.
Product, engineering, and AI under one roof. Brief once, ship together.
Visual intelligence.
Cameras and video turned into operational events, evidence and alerts for safety, quality and compliance.
Tax and regulatory intelligence.
Continuous audits that find overpayments and tax opportunities, with the legal basis and evidence attached.
Product engineering.
Complete SaaS platforms, corporate systems, web apps and APIs, with AI built in from the start.
Knowledge engineering.
Corporate knowledge bases, semantic search and RAG that answer from your documents and show the source.
Real integration.
Connected to the ERP, CRM, and tools your operation already runs on, with documented APIs.
Data and investigation.
Scattered sources consolidated, entities resolved and anomalies detected, so you can reconstruct what happened.
Guardrails.
Access control, audit trail, evaluation and observability from day one. The system acts inside its limits and never past them.
Built to run in production.
Engineered, not prompted. Every system ships with access control, audit trail, evaluation and observability from day one, held to the same standard as the rest of your stack.
See ProcessOne team, full stack. Product, engineering, data and AI in one team, so nothing waits on a handoff or a second vendor.
See Process
" +30% credit conversion. From decision audit to production, inside the window an internal build would still be scoping. "
Credit, digital products
" +40% in bookings. Embedded in the booking flow, live in production and improving on real traffic. "
Mobility, bookings
" +35% online sales. Built into the online purchase flow, live in production and improving on real traffic. "
Retail, online sales
" +30% B2B satisfaction. A redesigned B2B ordering flow, live in production and owned by their team. "
Manufacturing, B2B
Prove before you scale.
Every engagement starts with an operational problem and what it costs. A PoC is not a smaller product: it is a controlled experiment designed to reduce uncertainty. We scale only when the evidence is stronger than the doubt.
# Operational audit: ✓ Mapped $ reconcile invoices receipts ✓ 214 divergences found $ rank loss_sources --by impact ✓ 3 sources hold 80% of exposure $ measure manual_review_hours ✓ 120 h/week in manual checks $ define poc_criteria ✓ Baseline and target agreed
// Decision system in production const evidence = await engine.collect(caseId); const decision = await engine.evaluate({ rules, evidence, model: 'risk' }); // A person where the consequence calls for one if (decision.impact > 50000) await review.assign(decision, 'analyst'); // Measured in money await ledger.record({ decision, outcome: 'loss_avoided' });
# Attempted Actions: ✓ Blocked by Guard $ agent.access(user.payment_methods) × Error: Scope not authorized $ agent.execute(unverified_intent) × Error: Confidence threshold not met $ agent.bypass(rate_limiter) × Error: Rate limit enforced $ agent.modify(production_data) × Error: Write access restricted
Runs on the stack you already use.
Production-grade software, data, AI and infrastructure, connected to the ERP, CRM and tools your operation already runs on.
Frontend & mobile
Web and native mobile apps from a single team.
Backend & APIs
Type-safe APIs and real-time streaming at the edge.
Data & infrastructure
Postgres, caching, and storage with regional data sovereignty.
AI & agents
Decision systems, agents, computer vision and RAG running in production.
Security & compliance
Auth, RLS, audit logs, and LGPD/GDPR-aligned by default.
Scale & observability
Edge runtime, autoscaling, and full-stack observability.
Pricing
Three ways in. You leave the first call with a price range, before any proposal.
01 / Discovery + POC
$18,000
Prove it works before you commit. No lock-in.
- One critical process mapped
- A functional pilot you can try
- A production plan with pricing
02 / Fixed production project
from $60,000 / use case
Your system, live in production.
- Integration with your systems
- Continuous evals and guardrails
- LGPD and GDPR governance
- Training for your team
03 / Embedded squad
from $9,000 / engineer / mo
A team inside your operation, month to month.
- 1 to 3 engineers embedded
- A rolling roadmap of new cases
- Continuous improvement on what is live
Starting ranges for US and LATAM mid-market. Final scope set on the discovery call.
FAQ
How are you different from a consultancy like Deloitte or EY?
Big firms deliver strategy and a roadmap. We deliver a working product running in your production environment, built by the same people who designed it.
Are you a software house?
No. A software house builds what you spec. We start from the business problem and what it costs, build the system around it, and stay until it holds in production. When the answer is a full platform, we build that too.
How fast until I have something in production?
A functional pilot in 4 to 6 weeks. A product running in production in 8 to 16 weeks, depending on integration depth and compliance.
Who owns the code?
You do. Everything we build is yours, in your repositories, from day one.
What about LGPD and GDPR?
Auth, RLS, audit logs, and data residency are wired in from the start, aligned with both.
How does it start?
A 30-minute discovery call. You leave it with a price range and a clear next step.
Which sectors do you work in?
Any operation where losses, costs or slow decisions are worth fixing: finance and credit, tax, retail, logistics, manufacturing, mobility and other regulated, high-volume industries.
What if I already have an internal team?
Even better. We embed with them, ship the first use case, and level them up so they run the next ones without us.
Do you build your own products?
Yes. TributoX, our tax intelligence product, runs in production with 147 paying customers. It is the same operating model we bring to client work.
What do you not promise?
100% accuracy, zero false positives, or AI that replaces your accountants and auditors. Credibility depends on stating limits as clearly as capabilities.
What is the problem costing you today? Book a 30-minute discovery. We size the problem, what it costs to solve and the net benefit, and tell you the range to build it.
maya
Reconciliation is flagging too many false divergences. Can we raise the bar?