Spatial AI • Remote Sensing • 3D Reconstruction
Applied Spatial Intelligence Labs builds AI systems that convert satellite, drone, hyperspectral, weather, and field data into evidence — with calibrated uncertainty, honest limits, and interactive demos you can try in your browser.
Built for teams working with complex spatial, environmental, and biological systems.
What we build
Every product below is backed by a machine-readable evidence scorecard and independent review. We label maturity plainly — from interactive demos to early research — so you always know what is demonstrated versus what is still being validated.
A physics-informed crop genetics-×-environment decision model, benchmarked on real public breeding data (Genomes-to-Fields, SoyNAM, CIMMYT) with explicit uncertainty and abstention — not another green dashboard.
Explore Digital Field Twin →Field-first plant-disease intelligence for phones. Every result is labeled by how it was validated — on-device, backend, candidate, or reference — so a suspected match is never shown as a confirmed diagnosis.
Explore FieldPatho →Physics-constrained ×4 super-resolution of free Sentinel-2 imagery, with hallucination-audited detail tiers and a measured low-frequency consistency guarantee. Generated detail is labeled as inference, never fact.
Explore FrugalSR →Photoreal 3D reconstruction from ordinary photos — no scanner, no LiDAR. Orbit a Gaussian-splat model of a real structure live in your browser. The same reconstruction core behind ASI Labs spatial twins.
Explore HouseTwin →See it in action
In-browser demos — no install, no login. They render precomputed model outputs and a real 3D reconstruction on your own device. Detail that is inferred is labeled as inference.
64 ordinary photographs become a photoreal 3D Gaussian-splat model — a dense field of colored splats you orbit in real time, rendered live in WebGL2.
Orbit the 3D model →From a single Sentinel-2 view, generate a ×4 output whose fine detail is inferred, with selectable detail tiers — each output physically constrained where supported or clearly labeled as prediction.
Open the interactive demo →Work with us
Beyond the products, ASI Labs takes on focused engagements — the fastest way to put this capability on your problem.
A fixed-scope, 2–3 week engagement on your archived data: is an automated measurement accurate, repeatable, and faster than the current workflow? You get a pre-registered acceptance test and an auditable go / no-go.
Turn UAV, satellite, hyperspectral, multispectral, LiDAR, and SAR data into insight — crop health and stress, phenotyping and canopy analysis, and multi-temporal monitoring.
Credible first versions that connect models, dashboards, and decision workflows — evidence-gated, reproducible, and ready for pilots or grant submissions.
How we work
Every engagement moves from an unclear question to a working system — with the limits stated, not hidden.
Define the operational decision, the user, the time horizon, and measurable success criteria before touching a model.
Assess sensors, resolution, coverage, labels, ground truth, and leakage — a cheap gate before any expensive work.
Develop models, pipelines, and evaluation that connect spatial signals to outcomes — with calibrated uncertainty.
Package results into an auditable report, dashboard, or prototype — plus an independent review of the claims.
Start here
Send a short note about your goal, data sources, timeline, and the decision you want to improve. ASI Labs can help you shape the system and build the first working version.
Best for validation sprints, prototypes, partnerships, and applied research collaborations.
Email ASI Labs