Accelerate your path to Machine Learning

Work with experts who architect, build, and manage Enterprise Data Platforms and Machine Learning systems for a living

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1 TB
Data processed per day
42%
of result for the company
Rutinas para entrenar en casa o al aire libre
1st consultancy 100%
focused on MLOps
Adaptado a tu nivel de experiencia
87% of models in production vs. 15% industry average
Soporte 24/7 vía chat
5 years operating production machine learning at scale

Services for modern Data Platform

Mobilize the power of data, analytics and machine learning in the cloud to make your business highly efficient and competitive. We help you navigate the complexity of technical integration.

Data Integration
Migrate databases, both relational and non-relational, integrate data from cloud sources, APIs, and SaaS to form highly available data warehouse.
Solution Areas:
Data Migration
Data Access Layer
API Gateway
Edge Integrations
Data Platform Infrastructure
Build and integrate a collection of technologies to manage your end-to-end data needs. One place for data acquisition, storage, pipelines, and governance.
Solution Areas:
Data Lake
Data Warehouse
DataOps
Edge Device Registry
Machine Learning, Data Science, MLOps
Deploy ML Models to the cloud with modern MLOps architectures, inference, and then product integration. Increase the efficiency and cost of ML development.
Solution Areas:
Data Science Optimization
Custom model prototype
MLOps Foundation
Model Optimization for Edge
Applications and Analytics
Launch event-driven applications with predictive data and provide your analysts advanced analytical capability to run an informed business.
Solution Areas:
Data Visualization
Data Access API
Event and Message Systems
Edge Analytics

Outcomes We Celebrate With Our Customers

Predictive Maintenance for Oil and Gas Supermajors

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

Read Case Study

Event-Driven Kubernetes pipelines for high performant at-home patient health monitoring systems

Reducing patient falls — a billion dollar cost to the healthcare system, can be combatted with help of Kubernetes Engine

Read Case Study

Predictive responsiveness in neurological recovery therapy

Medical devices and robotics company leverages machine learning to launch predictive models to classify the level of responsiveness of in-home neurological recovery therapy

Read Case Study

Technology expertise for Data Platforms

AirbyteDBTVertex.aiKubeflowBigQueryTensorFlowDataflowlooker

Proudly working with

Your data will thrive on Google Cloud

Bitstrapped is a GCP Consulting partner specialized in Core Infrastructure

100% of our architects are Google Cloud Professionally Certified

See our GCP partner listing

Learn Machine Learning on Google Cloud Platform

Webinars & Workshops

Study Jam San Francisco - Vertex AI

August 25, 2022
9:00 am
-
12:00 pm
Join Event

Study Jam NYC - Vertex AI

August 10, 2022
11:00 am
-
2:00 pm
Join Event
Learn
Data Platforms
Coming Soon

Introducing AlloyDB for PostgreSQL. GCP’s Latest Solution for Hybrid Workloads

AlloyDB promises up to 100x analytical speed (reading) and 4x transactional (writing) speed from your traditional databases. (In their demo of AlloyDB, they actually demonstrate a 160x increase.)

Data Platforms
Coming Soon

Airbyte: The modern ELT data pipeline

Airbyte is a modern ELT tool to solve your data integration challenges, while syncing data from sources and APIs you need to power your data warehouse

MLOps
Coming Soon

Machine learning architecture strategies for three stages of MLOps

These 3 ML architectures will help you develop the ability to conduct faster model iteration & scalable production for machine learning.

Machine Learning
Coming Soon

Machine Learning in the Oil and Gas Industry: ML Roles and Applications

Machine learning (ML) is a technology that is having a critical impact on the oil and gas industry and is becoming an important technology for industry stakeholders. Here is where it is having an impact today, what ML applications are being used, and what the future holds.

Security
Coming Soon

Google Cloud Security Command Center

A summary of Google Cloud Security Command Center, how to set it up, and why it exists. Monitor your cloud infrastructure for vulnerabilities, threats, over-granted permissions, sensitive data discovery, anomaly detection, and misconfiguration detection.

Machine Learning
Coming Soon

What is Machine Learning?

Learn the basics of machine learning. What is it? How does it work? And what is it used for?

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:

1

ML Readiness

  • Validate data and objectives
  • Organize, Clean, Augment, Enrich datasets
  • Prototype initial models for validation
2

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
3

Scale and Operate ML

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