About & team
Building a clearer view of the field.
AgriNova AI is developing a field-monitoring service for Prairie wheat, canola and barley. It is designed to combine satellite observations, weather and field records into a dated score for each field, with the evidence behind it, so that growers and advisers can decide which field to check next.
01How we work
The field is the reference point.
Start with a real question. Show the observations behind an answer. Check the interpretation against conditions on the ground. Improve the product through structured feedback and field validation.
Evidence before certainty
An observation should be traceable to its inputs. Where the information does not establish a cause, the explanation should say so.
Local knowledge matters
A map can help organize attention. Grower experience, agronomic judgement and observations on the ground give it meaning.
Validation before promises
Useful performance needs a defined question, a suitable method and a clear statement of the conditions in which it was evaluated.
02The founding team
Five founders.
Behrang Saki
CEO & VP Water-Resource Analytics & Infrastructure Partnerships
Shahrzad Tavakolbakhoda
Chief Agronomy & Plant-Health Officer
Pegah Montazeri
Chief Quality, Data-Governance & Regulatory Officer
Elnaz Taassob
Chief Marketing Officer
Poorya Rezaei
Chief Technology Officer
03Where we are
The company today.
- Company
- 1562563 B.C. Ltd., operating as AgriNova AI
- Incorporated
- 10 November 2025, in British Columbia
- Stage
- AgriNova AI is a pre-revenue company in Canada.
Source: OrgBook BC, a public directory of organizations registered in British Columbia, record BC1562563, accessed .
A 15-farm beta on the Prairies is planned for 2027–28. Timing and participation remain subject to confirmation.
04Development direction
From historical learning toward Canadian validation.
Development has included prototype work and historical field observations in Iran. Those experiences inform the questions we ask, while their evidence limits remain explicit.
The next planned step is adapting the workflow to Canadian conditions and evaluating it through structured field trials. Availability, pilot scope and supported capabilities will be announced as they are confirmed.
Read the field studies