Marcus Reid
Lead ML Engineer. Ex-fintech; owns our forecasting and MLOps practice and every production rollout.
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About Brightloop Labs
A senior team of ML engineers, data scientists and robotics specialists — obsessed with models that survive contact with production.
Who We Are
Engineers First, Vendors Never
Brightloop Labs was founded in 2016 by three infrastructure engineers who kept watching brilliant prototypes die in production. We started the company to close that gap — every project pairs a research-grade modeler with a production engineer from day one.
Today our 34-person team serves clients across North America and Europe, running everything from demand forecasts for grocery chains to vision inspection on factory floors.
- 120+ models shipped to productionForecasting, vision, NLP and automation in live use.
- SOC 2 Type II audited deliveryYour data stays encrypted, access-logged and yours.
- Fixed quotes, measured accuracyYou approve the pilot numbers before the production build.
By The Numbers
Results Our Clients Can Audit
120+
Models in production
98.4%
Average pilot accuracy
38%
Average client cost saving
9 yrs
Shipping ML since 2016
Leadership
The People Behind The Models
Priya Nair
Head of Data Science. PhD in computer vision; leads model design, evaluation and the 14-day pilot program.
Daniel Okafor
Robotics & Vision Lead. Built inspection systems for three automotive suppliers before joining Brightloop.
How We Work
Pilot First, Production Second
No six-month discovery phases. In week one we connect to a sample of your data; by week two you hold an accuracy report with real numbers. Only then do we quote the production build — fixed price, fixed timeline.
- Week 1–2: working pilotOn your data, measured against your baseline.
- Week 3–8: production buildHardened APIs, monitoring and retraining loops.
- Ongoing: managed operationsWe monitor drift and retrain, or hand over the keys.
Have data? We will prove what it can do in 14 days.
Free pilot, fixed quote, zero obligation. Tell us what you are trying to build.