AI for real-time
system management

Bridging the gap between performance monitoring and automated actions to maximize system uptime.

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Uptime and system performance are critical to a successful digital business. Managing cloud and micro-services based systems is a continuous challenge in an era of growing complexity and rapid change.

Analyze system stability
Causal analysis
NMLStream
Recommend
Warn
Automation Tools
Respond to changes
Maximize uptime
Monitoring System
Command and configure
System
Collect system metrics

Core Features

Anticipate

  • Stability problems
  • Performance bottlenecks
  • Warn

AI Guided Discovery

  • Localization
  • Causality analysis
  • Knowledge base

Remediate

  • Recommendations
  • Automated actions

Integrate

  • Monitoring tools
  • Automation tools

Meet our Team

We are creative and passionate scientists and engineers. Our mission is to keep digital businesses operating at maximum performance using AI.

Dan O'Neill

CEO & CTO

Sachin Adlakha

Chief Data Scientist

Peter Pham

VP of Engineering

Kris Heinrich

Senior Software Engineer

Alex Orlova

Senior Software Engineer

Jack Kwan

Senior Software Engineer

Stanford Technical Contributors

Stephen Boyd

Stanford Technical Contributor

Trevor Hastie

Stanford Technical Contributor

Sanjay Lall

Stanford Technical Contributor

Want to join our team? We are hiring!

We offer excellent compensation and benefits, including fully covered medical, dental, and vision insurance.

VP of Product Management Front End Software Engineer Full Stack Software Engineer Sr. Machine Learning Scientist
  • Manage flagship product and partner strategy
  • Engage with customers and act as customer proxy in product development
  • Manage market messaging, pricing strategy, and product delivery process
  • Engineering degree and MBA
  • 10+ years of experience including startup experience
  • 2+ years of software development experience
  • Working knowledge of NodeJS, ReactJS, MeteorJS, Web Standards
  • Familiarity with standard development processes
  • Good written and verbal comunication skills
  • BS/BA in CS, EE, or related field
  • 2+ years of software development experience
  • Working knowledge of JS, NodeJS, MongoDB, cloud application deployment
  • Familiarity with standard development processes
  • Good written and verbal comunication skills
  • BS/BA in CS, EE, or related field
  • Responsibilities include creating and implementing ML techniques using non-stationary telemetry data, jointly writing academic papers, working with Stanford faculty. Reports to CEO/CTO.
  • PhD in EE / CS / Statistical Learning
  • Experience and/or education with GAM / GLM / HMM's and Information Theory based approaches.
  • Experience with Matlab, Java, Python, etc.
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Contact us

Don't hesitate to ask, we are ready to help you!

info@nmlstream.com