A small team that refuses to ship a number it can't defend.
Orbispect is built by people who process raw satellite archives themselves, radar, optical and gravimetry, rather than reselling someone else's dashboard. We are early, we are deliberately small, and we are open about exactly who we are.
Who runs Orbispect.
We list roles, not inflated titles. The principles we hold the work, and ourselves, to are set out further down this page.
Co-founder driving Orbispect end to end: engineering, product and business. He owns the full pixel chain: data acquisition from satellite and in-situ archives, the processing pipelines, the machine-learning and Earth-observation models, and the platform and delivery layer, from raw orbital data to the district-level signals customers see. He sets the standard that every figure shipped is real, validated and uncertainty-bounded.
Beyond engineering he leads product strategy, the commercial model and pricing, non-dilutive fundraising, and the scientific advisory board: turning a research engine into a company.
He holds a dual degree in Economics (Data Science) and Management (IT).
Joining the team. Full profile coming soon.
What everyone here shares.
A correct error bar beats a beautiful demo. Our customers are auditors, actuaries and regulators: they read footnotes, and so do we.
We process raw archives ourselves. No vendor magic between us and the sensor. When something breaks, we can see all the way down.
If we can't measure it, we don't print it. Every number we ship carries its source and its uncertainty.