Conservation scientist analyzing bird migration data

Fusing Data Science with Conservation Action

Our Mission: To empower every UK conservation organisation with the predictive insight needed to protect our shared avian heritage.

Meet Our Team
Founder of Aviarylytics in the Ayrshire countryside

Our Story

Aviarylytics was founded by Asfayan Hindocha, a lifelong ornithologist and data scientist who recognized that the future of conservation lies in our ability to anticipate change before it happens.

After years in academic research, Asfayan saw a critical gap: powerful predictive tools were being developed in isolation, but they weren't accessible to the trusts and reserves who needed them most on the ground.

Based in the heart of Ayrshire, with its rich diversity of coastal and upland habitats, Aviarylytics was created to be that bridge, providing practical, actionable intelligence for real-world conservation.

Meet the Experts

Scientific Rigor & Technical Mastery

Dr. Eleanor Vance

Karise Stageman

Lead Ecologist

PhD in Ornithology. Specializes in upland bird ecology with over 15 years of exhaustive fieldwork across the Scottish Highlands and Southern Uplands.

Ben Carter

Dschaune Olasunkanmi

Head of Data Modeling

MSc in Data Science. Expert in machine learning and spatial statistics. Formerly a lead architect for environmental risk assessment frameworks.

Our Guiding Principles

Scientific Rigor

Every model is built on a foundation of peer-reviewed science and validated against real-world field data for uncompromising accuracy.

Collaborative Partnership

We work with you, not just for you. We integrate with your conservation team to ensure our models answer your most pressing habitat questions.

Actionable Outcomes

We deliver clarity, not complexity. Our goal is to provide specific, data-driven insights that your trust or park can act on immediately.

Satellite view of bird migration paths
Scale of Influence

Monitoring 50,000+ Hectares

Our predictive models currently support conservation strategies across the diverse ecosystems of the UK.

98%

Model Confidence
Rate

Statistical precision verified through rigorous back-testing against historical population markers.

Verified Science

Partnered with top UK ecological research institutes.

Scotland Based

Ayrshire, KA19 7NS