Machine Learning made easy with MLOps

Bitstrapped—the Machine Learning Operations (MLOps) Consultancy.
Find success with the best-in-class architecture and operating model

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42%

of result for the company

42%

of result for the company

42%

of result for the company

1st consultancy 100%
focused on MLOps.

87% of models in production vs. 15% industry average

5 years operating production machine learning at scale

Your data will thrive on Google Cloud

Bitstrapped is a GCP Consulting partner specialized in Machine Learning Architecture

100% of our architects are Google Cloud Professionally Certified

See our GCP partner listing

Outcomes We Celebrate With Our Customers

Predictive Maintenance for Oil and Gas Supermajors

Cloud-based simulations to predict failure of equipment and improve efficiency of maintenance operations

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Computer Vision Machine Learning for at-home patient health monitoring systems

Reducing patient falls — a billion dollar cost to the healthcare system, with computer vision machine learning and MLOps.

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Proudly working with

Do it right the first time,
with our proven path to success.

85% of machine learning models end as experiments. Don't take chances, work with Bitstrapped to avoid the pitfalls and blindspots at the (3) stages of the machine learning journey:

ML Readiness

Validate data and objectives
Organize, Clean, Augment, Enrich datasets
Prototype initial models for validation

Infrastructure for ML

Establish foundational Infrastructure for ML
Put your Data platform and tooling to work
Architectures to train, evaluate, validate, monitor, and deploy models

Scale and Operate ML

Special Ops teams to manage
and evolve ML environments
Ongoing Cloud platform management
Roadmap planning and strategic wins

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Free resources for Machine Learning on Google Cloud Platform

Webinars & Workshops

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Integrate AI Into Your Products Today

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Machine Learning

Coming Soon

How Exploratory Data Analysis (EDA) Accelerates ML

EDAs help ensure machine learning is reliable and robust. Learn how EDA can improve your ML implementations.