Sentri Analytics builds and ships production machine learning for teams who can't afford to guess — models, infrastructure, and the engineers to run both.
Trusted by engineering teams at
Custom models trained on your data, built to hit a business metric — not a leaderboard.
Production-grade assistants wired into your tools, with guardrails that hold under real traffic.
Pipelines, monitoring, and retraining loops so models keep working well after launch day.
Detection, classification, and quality-inspection systems tuned for your hardware.
The unglamorous plumbing that makes every model above actually possible.
Test suites and red-teaming that catch failures before your customers do.
We map your data, constraints, and the metric that actually matters.
A working proof of concept in weeks, so bad ideas die early and cheap.
Production engineering: versioning, testing, and infra sized for real traffic.
Shipped behind flags, rolled out gradually, measured against a baseline.
Drift detection and retraining loops so performance doesn't quietly decay.
faster model iteration
avg. inference cost cut
uptime in production
models shipped live
Cut stockouts 27% with a demand-forecasting model retrained nightly on live point-of-sale data.
−27% stockoutsReplaced manual inspection with a vision model catching line defects three times faster.
3x faster QAAn LLM pipeline that turns loan documents into structured, auditable data in under 90 seconds.
<90s per document"Sentri didn't just hand us a model and disappear. They built the pipeline, taught our team to run it, and stuck around until it was boring — which is exactly what you want from production ML."
VP of Engineering, Vantage Retail
Most projects start with a 30-minute scoping call. No deck, no sales team — just engineers.
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