AI engineering for LatAm & US teams
Senior engineers embed with your team to build AI agents, ML systems, and data platforms — measured against the KPI you defend next quarter.
Quick answer
sesgo.ai is an AI consulting partner for LatAm and US teams. We deliver strategy, machine learning, data science, data engineering, and AI agents tied to measurable business KPIs.
What we do
Strategy, build, and scale — by the same senior engineers, from first call to production.
Book a strategy call →Diagnostic of your data, use-case shortlist, and a KPI your CFO will sign. Two weeks from kickoff.
ML systems, AI agents, and data platforms built inside your team. Running in production in 6–12 weeks.
MLOps, observability, and hands-on enablement so your team owns the system quarter after quarter.
Case Studies
Manufacturing
Real-time computer vision pipeline using deep learning for SKU identification and quality control on the production line, replacing error-prone manual classification of 200+ paper product SKUs.
Public Safety
AI agent system that classifies incidents in real-time, prioritizes dispatch, and assists operators with suggested protocols — reducing response times across high-volume emergency call centers.
Logistics
AI agents that optimize inventory allocation, forecast demand, and enable client self-service through a connected dashboard — replacing manual tracking and eliminating stockouts.
Client Voices
sesgo.ai delivered an AI agent for emergency operations in six weeks. We reduced manual triage by 42% and gave our operators real-time decision support that actually works under pressure.
Operations Leadership · Soflex
They brought us from pilot to production. Computer vision running on the line, 85% error reduction, and a team that owns the system from day one. That is rare.
Technology Leadership · PSAG
The KPI-first framing is what convinced our CFO. We had real ROI defended in under 60 days and warehouse visibility we had chased for three years.
Logistics Leadership · Arison
Insights
The five failure patterns that kill AI pilots before production — and the KPI-first framework that breaks the pilot-to-production gap.
From prompt chains to autonomous workflows — how to design AI agents with human approval flows, observability, and production-grade guardrails.
Before you can deploy models, you need pipelines you can trust. A practical guide to the data foundation that makes ML scalable.
A practical framework for defining, instrumenting, and defending AI ROI from the first sprint through production.
A decision framework for choosing between retrieval-augmented generation and fine-tuning — and when to combine the two.
Why sesgo.ai
No junior-led delivery, no outsourced surprises. The engineers shaping the architecture are the ones shipping the code — embedded inside your team, measured against the KPI you defend next quarter.
Next step
Book a 30-minute strategy call. We will stress-test your use case, share how we would approach it, and tell you honestly if it is the wrong time.
