The AI system that replaces the spreadsheets running your operation.

We build custom operational AI inside your infrastructure - forecasting demand, automating reporting, and eliminating manual workflows. Diagnosis to deploy in 90 days.

Industries we focus on
TourismTransportHospitalityEventsCompliance & LegalTourismTransportHospitalityEventsCompliance & Legal

Real systems. Measured results.

Three projects across three sectors - each one in production, each one with a number attached.

Marketing · SEO

Washdog

1 mêspara primeira página
Problem

New pet car wash entering a saturated market with zero digital presence, no SEO, and no social proof.

Result

First page on Google in under 1 month. 4,000+ organic impressions in month one.

Process Automation · E-commerce

VTEX

91%redução em custos
Problem

Teams spent 10 hours per RFP manually answering ~117 technical and compliance questions - no standardization, across EMEA, US, Brazil, LATAM, and APAC.

Result

1,094 hours saved in 6 months. $36.4k saved vs. external platform. 91% reduction in annual tooling cost.

Document Automation · Engineering

Lumina

< 3hpor relatório
Problem

Fire engineering consultancy in Dubai. Expert reporting required gathering documents, precise referencing, and structured writing - 4 to 5 days per case.

Result

Under 3 hours per report. System runs in their infrastructure. Team owns it completely.

Why most AI projects in operations don't last

The problem isn't the technology. It's what happens after the pilot - and who ends up owning the result.

The signals exist. The system to act on them doesn't.

Demand spikes, pricing windows, maintenance alerts, staffing gaps - your operation produces these signals every day. But without a system that surfaces them automatically, your team decides by instinct or last year's spreadsheet. The data was always there. The tool to act on it wasn't.

Expert time lost to work that shouldn't be manual

In most service operations, the highest-cost bottleneck isn't strategy - it's assembly. Documents gathered from multiple sources. Reports written by hand from research that took days to organize. Approvals that require someone to manually pull together information that already exists in the system.

When the vendor leaves, the system stops.

Most AI projects fail after the proof of concept - not because the technology didn't work, but because no one on the team was trained to run it. The vendor moves on. The system goes dark. You're back to spreadsheets, with nothing to show for the investment.

We build systems your team owns and runs.

Most AI consultancies deliver prototypes. Or SaaS subscriptions that charge you monthly for your own operational logic - with pricing that scales as your business grows and a vendor relationship you can't exit without losing the system.

river-labs

We do the opposite.

  • Runs inside your infrastructure - not ours
  • No SaaS pricing tied to your operational logic
  • Fully documented and transferable code
  • Fixed project price - you own the system completely

What we build

We're not specialists in one type of AI. We're specialists in service operations - and we build whatever system creates the most value in your context.

Operational AI Opportunity Diagnosis

We map your operation with the team running it - not with generic frameworks. You get a prioritized list of the highest-value automation opportunities in your specific workflows: revenue, staffing, marketing, maintenance, compliance, reporting.

Ponto de entrada

Custom AI Systems

We design and build the system for your exact context - demand forecasting, document research automation, revenue analytics, predictive maintenance, compliance reporting, marketing triggers, or anything else your operation needs.

Team Training and Full Handoff

Every project ends with your team trained to operate, modify, and evolve what was built. We transfer the knowledge to run the system - not just the software itself - so the investment lasts.

What these systems look like in practice

Concrete AI systems designed for the operational problems that repeat most often in service businesses.

Casos de uso

Revenue & Demand

  • Dynamic pricing tied to demand, seasonality, and external events
  • Demand forecasting with automatic staffing and supply triggers
  • Revenue anomaly detection with real-time alerts
  • Booking and conversion recovery based on behavioral signals
Casos de uso

Operations & Knowledge Work

  • Document research and report generation - multi-day workflows to hours
  • Predictive maintenance alerts from equipment logs and service history
  • Per-asset cost monitoring with anomaly flagging
  • Compliance and audit report automation
Casos de uso

Marketing & Growth

  • Automated marketing triggers based on demand forecasting
  • Channel attribution analysis for marketing spend
  • Review and feedback analysis to detect recurring service problems
  • Customer segmentation and reactivation based on behavior patterns
Casos de uso

Compliance & Legal

  • Regulatory obligation monitoring and automated alerts
  • AI-powered legal document classification and analysis
  • Anomaly detection in contracts and audits
  • AI-assisted due diligence for M&A and partnerships

Built by operators who implement the systems themselves.

River Labs was founded by engineers and operators who have built automation systems across e-commerce, operations, and regulated services. We focus on one thing: turning operational data into systems teams can actually run - not prototypes that disappear after the pilot.

Leonardo Werner

Leonardo Werner

Culture, People & Governance

João Guilherme Santos

João Guilherme Santos

Solutions Architect

Antonio Rapozo

Antonio Rapozo

Developer & Tech Solutions

Enrique Ibarra

Enrique Ibarra

Full Stack Engineer

Our Approach

Three principles that don't change, regardless of what we build.

Co-criamos

We co-create - with the team running the operation, from the first conversation. Not behind a slide deck. Not handed over at the end.

Capacitamos

We train - your team learns to operate, modify, and evolve what was built. No permanent dependency on River Labs to keep the system running.

Entregamos

We deliver - documented code inside your own infrastructure. You own the system. Not a license to use it. The system itself.

How we work

01

Discovery

Map your processes, data sources, and operational constraints
02

Diagnosis

Identify where AI creates the highest measurable value
03

Solution Design

Define architecture and agree on success metrics before building
04

Pilot

Build a working system and validate it with your team in production
05

Deploy and Handoff

Ship to production and transfer full ownership to your team

Common questions

What does the free AI Opportunity Diagnosis actually deliver?

A 45-minute conversation where we map your operation - the processes your team runs every day, the data you already generate, and where the biggest gaps are. You receive a short written report identifying the three highest-value automation opportunities in your operation, with enough detail to decide whether and how to act on them. No generic benchmarks. No follow-up pitch required.

Do you only work with tourism or LATAM companies?

No. Tourism and service operations in LATAM make up a core part of our work, but our systems are built for any operation with complex, data-generating workflows - regardless of geography. A system we built for Lumina, a fire engineering consultancy in Dubai, reduced a multi-day expert reporting workflow to under 3 hours. The common thread is operational complexity and the need for a system the team owns and runs independently.

Do we need to replace our current systems?

No. We integrate with what you already have - ticketing platforms, ERPs, document management systems, custom APIs, legacy databases. The goal is to add automated decision-making to your current infrastructure, not force a migration.

What happens after delivery? Do we need River Labs to maintain it?

No - and that's a core design principle of every project we take on. Every system includes full documentation and team training so your operation can maintain and evolve it independently. We don't design for dependency.

How is this different from buying an AI tool or SaaS platform?

Off-the-shelf AI tools are built for the average operation. Your operation isn't average - it has specific data, specific workflows, and specific constraints that generic tools don't account for. We build a system for your exact context, running in your infrastructure, with no monthly fee and no vendor to call when something breaks. Your team runs it.

Find out exactly where your operation is leaving value on the table.

One 45-minute conversation. We map your operation and send you a short written report with the three highest-value automation opportunities in your context - specific to your workflows, your data, and your team. We run a limited number of diagnoses each month to go deep on each one.

No commitment. No SaaS. Your team owns what we build.