SiliconBlast · Applied AI lab

We build AI research into things people use.

SiliconBlast is an applied AI lab. We study learning systems, ship our own apps and build production AI with enterprises and governments.

Six SiliconBlast apps are live today. Our research spans climate, health and language.

Everything we do starts in the lab.

Research sets the direction. Our products and our client work carry the results into the world.

Work with SiliconBlast

AI strategy and delivery by engineers who ship.

  • Conversational AI and LLM applications
  • Retrieval and knowledge systems
  • Computer vision
  • Speech and multimodal AI
  • Predictive ML and analytics
  • MLOps and AI platform engineering

How we take AI to production

Four steps take you from a first conversation to a system in production.

  1. 01Discovery and assessmentWe map your goals, data and constraints. We find where AI delivers value.
  2. 02Strategy and architectureYou get a delivery plan: scope, architecture, security posture, metrics and milestones.
  3. 03Build and validateWe engineer the system with evaluation, security review and human checks before users see anything.
  4. 04Deploy, monitor and scaleWe deploy to production with monitoring and governance. You keep accuracy, safety and low cost over time.

What we stand for

  • We ship working systemsWe measure our work by systems in production. Our proof is the software we run ourselves.
  • We test every claimWe tell you when AI is the wrong tool. We back every claim with evaluation.
  • Security and accountabilityYou get named, accountable delivery and security by design. Enterprise and government work demands both.
  • We apply frontier researchWe track new research and turn the results into reliable, low-cost systems for the real world.
Ekaba Bisong

Named, accountable expertise

Ekaba Bisong

Founder and Principal Consultant · Calgary, Canada

Ekaba Bisong founded SiliconBlast and leads its research, its products and its client work. Across more than a decade he has built AI and data systems for Fortune 500 enterprises, banks and public-sector organizations. Before SiliconBlast he was Principal AI Architect at Loblaw Companies Limited.

  • NSERC Postgraduate Scholar and Ph.D. researcher at the University of Victoria
  • Author of Building Machine Learning and Deep Learning Models on Google Cloud Platform (Apress / Springer Nature)
  • Published at COLING, IFIP AIAI and IEEE/ACM MSR, and in Evolving Systems and BMC Medical Informatics and Decision Making
  • Speaker at Google ML Summit, Cisco DevNet Create and Google DevFest
More about SiliconBlast →

Have a problem worth solving with AI?

Tell us what you want to achieve. We reply within one business day.