The AI system that replaces the spreadsheets running your operation.
We map your operation, find where work is structured around humans doing the steps, and build the system that redesigns it - running inside your infrastructure, owned by your team.
Real systems. Measured results.
Three projects across three sectors - each one in production, each one with a number attached.
Washdog
New pet car wash entering a saturated market with zero digital presence, no SEO, and no social proof.
First page on Google in under 1 month. 4,000+ organic impressions in month one.
VTEX
Teams spent 10 hours per RFP manually answering ~117 technical and compliance questions - no standardization, across EMEA, US, Brazil, LATAM, and APAC.
1,094 hours saved in 6 months. $36.4k saved vs. external platform. 91% reduction in annual tooling cost.
Lumina
Fire engineering consultancy in Dubai. Expert reporting required gathering documents, precise referencing, and structured writing - 4 to 5 days per case.
Under 3 hours per report. System runs in their infrastructure. Team owns it completely.
AI doesn't fail. The way work is designed around it does.
The problem isn't the technology. It's that most companies are automating the wrong thing - tasks inside broken workflows, instead of redesigning the workflows themselves.
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 project ends, the system stops - because the organization never changed around it.
Most AI projects fail after the proof of concept - not because the technology broke, but because leaders kept operating the same way. The vendor built the tool. Nobody redesigned the decisions the tool was supposed to inform. When the project closed, the system went dark. You were back to spreadsheets, with nothing to show for the investment.
We build systems your team owns and runs.
- Runs inside your infrastructure - not ours
- No SaaS pricing tied to your operational logic
- Fully documented and transferable code
What we build
Workflow Redesign Diagnosis
We map your operation to find where work is still built around humans coordinating the steps. You get a prioritized list of where redesigning the workflow around AI - not just automating tasks inside it - creates the highest measurable impact.
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.
Capability Transfer - Your Team Runs It
Every project ends with your team able to operate, modify, and evolve what was built - without us. Not a training session. A transfer of how to think about, maintain, and grow the system as your operation changes.
What these systems look like in practice
Concrete AI systems designed for the operational problems that repeat most often in service businesses.
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
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
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
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
Culture, People & Governance
João Guilherme Santos
Solutions Architect
Antonio Rapozo
Developer & Tech Solutions
Enrique Ibarra
Full Stack Engineer
Our Approach
Three principles that don't change, regardless of what we build.
We co-create - with the team running the operation, from the first conversation. Not behind a slide deck. Not handed over at the end.
We train - your team learns to operate, modify, and evolve what was built. No permanent dependency on River Labs to keep the system running.
We deliver - documented code inside your own infrastructure. You own the system. Not a license to use it. The system itself.
How we work
Discovery
Map your processes, data sources, and operational constraintsDiagnosis
Identify where AI creates the highest measurable valueSolution Design
Define architecture and agree on success metrics before buildingPilot
Build a working system and validate it with your team in productionDeploy and Handoff
Ship to production and transfer full ownership to your teamCommon questions
What does the free AI Opportunity Diagnosis actually deliver?
After completing the questionnaire, the diagnosis is delivered to your inbox as a written report. It identifies three opportunities and action points that can improve operational flow within your area or organization.
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 do you handle AI errors and quality control?
Every system we build includes validation layers specific to your context - not generic guardrails. When the system flags a decision for human review, your team reviews it. Confidence thresholds are set with your team during the pilot. We design for appropriate human oversight, not full automation of decisions that require judgment.
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.