AI-native · Quantum enhanced

The telescope that thinks.

SURYA-II is the world's first AI-native, quantum-enhanced, distributed solar telescope. It doesn't just observe the Sun — it understands it, predicts it, and responds in real time.

0.0002"
Angular resolution
160 m
Solar surface detail
500 m
Synthetic aperture
<500 ms
Autonomous response
The problem

We're blind to the star that governs our planet.

Solar flares and coronal mass ejections can disable power grids, cripple satellites, and disrupt global communications. Yet our best solar telescope resolves only 20 km on the solar surface — like trying to forecast hurricanes with a single weather station. Space telescopes like JWST would melt if pointed at the Sun. We need a fundamentally new approach.

Explore Solution
⚡ Mission critical. Global impact.
⚠

$2 trillion at risk

A Carrington-class solar storm would cause up to $2 trillion in damage to global infrastructure in the first year alone.

◑

Minutes of warning

Current systems give 15–45 minutes warning for solar flares. SURYA-II aims to predict them hours before eruption.

✕

No instrument combines it all

Resolution, magnetic field mapping, real-time AI, and multi-wavelength fusion have never existed in a single system.

5 world-first innovations

Not an upgrade.
A paradigm shift.

Any one of these would be a significant advance. Combined, they create an instrument class that doesn't exist yet.

01 Quantum intensity interferometry
02 Neural wavefront tomography
03 Multi-messenger solar fusion
04 Programmable coded-aperture
05 Predictive flare intelligence

Technical specifications

Built for
precision.

Seven apertures, one brain. A distributed array that synthesises the resolving power of a 500-metre telescope — at a fraction of the cost.

Effective aperture 500 m synthetic baseline
Angular resolution 0.0002″ at 550 nm
Solar surface resolution ~160 m from 150M km
Optical stations 7 × 250 mm Maksutov-Cassegrain
Radio stations 16 × dish, 1.3–3 mm wavelength
Wavelength range 380–1600 nm optical + mm radio
Temporal cadence Millisecond-scale capture
Polarimetry Full Stokes I, Q, U, V vector
AI response time < 500 ms autonomous re-targeting
Neural networks 4 specialised (AtmoSolve, PhaseFormer, StokesMLP, TomoNet)
Detector technology SNSPD (3 ps) + high-speed CMOS (1000 fps)
Timing sync White Rabbit PTP, sub-nanosecond
Compute Multi-GPU (A6000/H100) + Jetson Orin edge
Output 4D model: B, T, v, ρ (x, y, z, t)
Latency < 2 sec photon-to-reconstruction
How it compares

A different league.

SURYA-II isn't competing with existing telescopes. It's creating a new category.

JWST
NASA / Deep space
Resolution0.1″
Solar capableNo
Magnetic fieldsNone
Real-time AINone
3D tomographyNo
ScalableFixed
$10B
30 years development
DKIST
NSO / Solar ground
Resolution0.03″
Solar capableYes
Magnetic fieldsYes
Real-time AINone
3D tomographyNo
ScalableFixed
$344M
Single 4 m mirror
SURYA-II
Next-generation solar
Resolution0.0002″
Solar capablePurpose-built
Magnetic fields4D vector
Real-time AI5 systems
3D tomographyMulti-height
ScalableAdd anytime
~$150K
Full system, phase 1 from $5K
ROADMAP

From first light
to first prediction.

SURYA-II is designed for incremental deployment. Start with one telescope, prove the concept, then scale — each addition makes the system more powerful.

Completed

System architecture

Full 5-tier architecture designed. Optical train, array geometry, ML pipeline.

Phase 1 — 3 months

Single station proof

High-speed CMOS + lucky imaging + edge compute.

~$5,000
Phase 2 — 12 months

5-station array

SPAD detectors + GPU correlator.

~$30,000
Phase 3 — 18 months

Full deployment

7 optical + 16 radio stations. AI prediction system.

~$150,000
Join the mission

Ready to see the Sun
like never before?

We're looking for collaborators — solar physicists, optical engineers, ML researchers, and institutions ready to build the future of heliophysics.

Get in touch Read the specs