About ReelData

ReelData holds two things to be true: land-based aquaculture is the future the world needs and the ambitious goals held by farmers require a solution built specifically for them. For these reasons, ReelData embarked on a mission to provide customized data and automation to land-based farmers.

ReelData now provides reliable, accurate monitoring, analysis, and optimized automation working with each farm 1-on-1 to increase operational efficiency, save costs, grow fish faster, and reduce risks.

“We wanted to help create the future and believe land-based is the best chance to do exactly that.”

Artificial Intelligence Experts

We are a company helping fish farms maximize their potential with business automation and operations solutions.

Mathew Zimola, BEng MASc

Co-Founder & CEO

  • Chemical Engineer with an MSc. in Computer Science.
  • Built real-time measurement and logging software for Schlumberger.
  • Background in A.I. & Computer Vision.

Hossein Salimian, PhD

Co-Founder & CTO

  • Ph.D in Computer Science, focus on 3D content and analysis.
  • Experienced in building scalable vision software.(VR, AR & Computer Vision).
  • B.Sc in Hardware Engineering with demonstrated experience in IoT.

Peter Gale

Vice President, Business Development and Operations

  • Award-winning quantitative economist focused on business/operations analytics and innovation.
  • MSc Candidate in Real Estate Economics and Finances from the London School of Economics focused on sustainable project development.
  • Experience in ed-tech, econometric research, and lobster fishing.

Will Stone, MSc

Head of Artificial Intelligence

  • MSc in Computer Science focused on Machine Learning.
  • Developed a novel method in psychiatric genomics that predicts drug efficacy.
  • Previously a researcher for Tesla Motors and Dalhousie Medical School.

William Marsman

Head of Software

  • Bachelors Degree in Computer Engineering.
  • 6+ years of advanced software development experience.
  • His most recent work was leading development on a top-secret NATO maritime command and control operations project.

Pedram Adibi, MSc

Networking Lead and Machine Learning Engineer

  • MSc in Computer Science focused on Machine Learning.
  • His thesis applied ML to predict critical metrics in sustainable fishing.
  • Previously a machine learning researcher for the Canadian Government's Department of Agriculture.
This is two fish breaching out of water.

Our commitment to sustainability is core to our DNA

Book a Land-Based A.I. Feeding System Demo