Optiwood combines laser scanning, geospatial data and AI — turning raw forest data into actionable business decisions, while the trees are still standing.
Current forest data operates at stand or grid-level estimates. This leads to significant raw material losses, inefficient decisions and lower value creation across the entire value chain.
We tailor the solution to your organisation's readiness and needs — from a lightweight pilot to a fully integrated production deployment.
A laser scanning and AI-based method for predicting timber quality, value and potential. Delivers forecasts on species, diameter classes, stem straightness, density and underperformance risk areas.
Drone laser scanning, in-flight data preprocessing and Optiwood edge models delivering preliminary quality measurements directly in the field. Suitable for areas where national ALS data is insufficient or outdated.
We move from proof-of-concept to scalable production with the client, in a controlled and risk-minimising way.
The solution is validated on the client's own data in a defined pilot area. The primary goal is practical experience — not just technology testing.
The solution is integrated into the client's processes. We build a scalable data architecture and interface for end users.
We move towards continuous improvement and autonomous decision-making in timber procurement and production.
Optiwood is built on over a decade of scientific research — and real-world experience turning industrial data into business solutions.
Experienced researcher combining forest science, laser scanning and wood technology using the latest innovations. Over 10 years of research in forest modelling and remote sensing, with more than 30 peer-reviewed publications. Doctor of Forest Sciences (D.Sc.), University of Helsinki 2020.
Versatile background in data analytics, data-driven decision-making and project management. Experience from the UN, Futurice, PricewaterhouseCoopers and numerous large-scale data projects.
We launch pilots with a light commitment and a defined scope. The most important goal is practical experience — not just technology evaluation. Reach out and let's schedule a first meeting.