AI Hyperspectral Analysis · No-Code

Identify materials by their spectral fingerprint.

FlyPix AI is the no-code hyperspectral imaging software that reads hundreds of narrow spectral bands per pixel to identify minerals, vegetation, water, and pollutants by signature — turning dense spectral cubes into decisions and saving up to 99.7% of manual analysis time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
SPECTRAL SCAN · LIVE
BANDS 224 narrow
AOI 8,640 km²
MATERIALS 37 signatures · Δ +1.4%
Scroll to explore
Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Classifying one spectral cube by hand takes 997 seconds.
FlyPix AI takes 3.

A single hyperspectral cube can hold hundreds of narrow bands for every pixel across hundreds of square kilometres. Inspecting spectra by hand does not scale. FlyPix AI matches signatures and classifies materials instantly, so analysis keeps pace with every new capture.

Manual review
997s
to review one dense scene by hand

Specialists compare spectra against libraries band by band, cube after cube. Results are inconsistent, slow, and out of date before they reach a decision-maker.

VS
AI analysis by FlyPix
3s
for the same scene, fully detected

Up to 99.7% time saved. Consistent, georeferenced material maps you can track over time and export straight into your GIS.

99.7%
Time saved vs. manual
10,000+
Active users
200+
Narrow bands per pixel
1000s
km² per scene
What is hyperspectral imaging software?

AI spectral analysis for material identification, without the code.

Hyperspectral imaging software ingests and analyses imagery that records hundreds of narrow, contiguous spectral bands for every pixel, so materials can be identified by their unique spectral signature. FlyPix AI is a no-code platform that uses artificial intelligence to match signatures, classify materials, and unmix blended pixels across hyperspectral data from satellite, aerial, and drone sensors. You upload your cubes, label a handful of examples, and the AI engine builds a custom model and maps the material across the whole area of interest — turning hours of spectral interpretation into minutes of decision-ready insight.

Capabilities

Everything you need to analyse hyperspectral imagery

One platform to identify, classify, unmix, and monitor materials across every spectral cube you capture — from a single tile to a national mosaic.

Spectral signature matching

Identify minerals, crops, water, and man-made materials by their unique reflectance across hundreds of narrow bands.

Spectral classification

Assign every pixel to a material or land-cover class using its full spectrum, not just true-colour appearance.

Spectral unmixing

Resolve the materials hidden inside mixed pixels and estimate how much of each one is present.

Spectral change detection

Compare repeat captures to surface where a material appeared, spread, or degraded between dates — automatically.

Anomaly & target detection

Flag rare or unexpected signatures — a leak, a contaminant, a stressed crop — that stand out from the background.

No-code custom models

Train a detector for the exact signature you care about by labelling a few examples — no programming.

How it works

From spectral cube to insight in four steps

A no-code workflow built so analysts, geologists, and operators — not just spectroscopy experts — can run production-grade analysis.

STEP 01

Upload your cube

Bring hyperspectral captures from satellite, aerial, or drone sensors in any common format — tens to hundreds of bands.

STEP 02

Label what matters

Mark a few examples of the material or signature you want to find. A handful is enough for the engine to learn.

STEP 03

Let the AI classify

FlyPix builds a model from your labels and matches signatures, classifies, and unmixes across the whole scene.

STEP 04

Explore & export

Review material maps on interactive dashboards, then export georeferenced classification layers to your GIS.

FlyPix AI workspace showing AI object detection on geospatial imagery
Supported Data

One platform for every band in the spectrum

Hyperspectral imaging is more than colour — it is hundreds of narrow, contiguous bands stacked into a cube for every pixel. FlyPix AI reads the full spectrum to discriminate minerals, vegetation health, water quality, and pollutants that look identical in true colour — all in one workspace.

See all supported formats
RGB & true-color
Standard satellite, aerial & drone imagery
Supported
Multispectral
Vegetation, water & land-use analysis
Supported
Hyperspectral
Fine-grained material & spectral analysis
Supported
LiDAR
Elevation, volumes & 3D terrain
Supported
SAR (Synthetic Aperture Radar)
All-weather, day-or-night monitoring
Supported
API & GIS integration
Automate workflows, export vector layers
Supported
Why FlyPix

Why teams choose FlyPix AI

The platform removes the bottlenecks that slow hyperspectral analysis: manual spectrum inspection, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.

Analysis in seconds

Classify a full spectral cube in seconds instead of hours of band-by-band inspection — and repeat it on every new capture.

A true no-code platform

Analysts and operators train and run AI models on their own cubes — no programming, no data-science team, no vendor queue.

Signature-driven by design

Discriminate materials that look identical in true colour by reading their full spectral signature across hundreds of bands.

Scales to any area

Pinpoint a single outcrop or stressed field, or sweep an entire region at the cadence your mission demands.

Customer Reviews

What geospatial teams say

From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.

We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.

Hannes Olbrich
Hannes Olbrich
Head of Investor Office · acitoflux, Germany

FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.

Ali Tehranchi
Ali Tehranchi
CEO · Bayscenary, USA

FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.

Jordan Bates
Jordan Bates
Researcher · University of Liège, Belgium

What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.

Krishna Mohan
Krishna Mohan
Business Head · Stesalit Systems Ltd., India

FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.

Rohit Singh
Rohit Singh
Director · Intent to Solution, India

Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.

Robin Engelhard
Robin Engelhard
Chairman · Second Life e.V., Germany
Start analysing

Turn your spectral cubes into answers.

Create an account and run your first AI classification on a hyperspectral cube in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.

Start free Request a demo Free to start · Set up with an expert
FAQ

Hyperspectral imaging software, answered

The questions analysts, geologists, and operators ask before switching to AI-powered spectral analysis.

What is hyperspectral imaging software?
Hyperspectral imaging software ingests and analyses imagery that records hundreds of narrow, contiguous spectral bands for every pixel, so materials can be identified by their unique spectral signature. AI-powered platforms like FlyPix AI automatically match signatures, classify materials, and unmix mixed pixels across hyperspectral data, turning hours of manual spectral interpretation into minutes of georeferenced insight.
How is hyperspectral imaging different from multispectral or true-colour imagery?
True-colour imagery captures three broad bands and multispectral typically a handful, while hyperspectral imaging captures hundreds of narrow, contiguous bands per pixel. That continuous spectrum lets FlyPix AI tell apart materials — minerals, crops, pollutants — that look identical to the eye but reflect light differently.
Do I need coding or spectroscopy expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload hyperspectral cubes, label a few examples of the material you want to find, and the AI engine builds a model and runs classification across your whole area of interest automatically — no programming or deep spectroscopy knowledge required.
What hyperspectral data and formats does FlyPix AI support?
FlyPix AI supports hyperspectral cubes from satellite, aerial, and drone sensors with tens to hundreds of bands, alongside multispectral, RGB, LiDAR, and SAR data. It exports georeferenced classification and vector layers to your GIS and analysis tools.
Can FlyPix AI identify custom materials or signatures?
Yes. You can train a custom detector for the exact signature you care about — a target mineral, a crop under stress, a contaminant, a man-made material — by labelling a handful of examples. The engine learns the signature from your labels and maps it across all your data.
How much time can FlyPix AI save versus manual analysis?
FlyPix AI can save up to 99.7% of analysis time. In FlyPix benchmarks, dense spectral-cube classification that takes roughly 997 seconds by hand is completed by the AI engine in about 3 seconds.
Can I try FlyPix AI on my own hyperspectral data?
Yes. You can create an account and start analysing your own cubes, or request a guided demo to see signature matching, classification, spectral unmixing, and custom model training applied to scenes from your domain.
See the planet, decoded

See what every band is revealing.

Join 10,000+ users automating spectral analysis with FlyPix AI. Upload your first cube and watch the AI identify, classify, and map materials in seconds.