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Suyash Singh, GalaxEye | "If I can't build a deep tech startup at IITM, I can never do it." | Ep. 10

Dive into an extraordinary journey of innovation, passion, and cutting-edge space technology!

Suyash Singhguest
Jan 23, 20251h 17mWatch on YouTube

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At a glance

WHAT IT’S REALLY ABOUT

Building GalaxEye from IIT Madras: hyperloop roots to satellites

  1. Suyash’s path from mechanical engineering and corporate research to IIT Madras led him to start Avishkar Hyperloop, which became a formative deep-tech, team-building experience and a bridge between BTech and MTech innovation cultures.
  2. GalaxEye positions itself as a data company that acquires Earth observation imagery from its own satellites, aiming to solve the core bottleneck of inconsistent optical imagery due to clouds and nighttime limitations.
  3. The startup’s technical differentiator is fusing Synthetic Aperture Radar (microwave, cloud-penetrating, night-capable) with multispectral imaging (visible/near-IR, intuitive interpretation) to make imagery both available and usable for mainstream applications.
  4. Suyash outlines a rigorous satellite development lifecycle (idea → concept → PDR → CDR → AIT → launch), including risk management via space-proven components and extensive environmental testing, while using ISRO’s POEM as an in-orbit validation step.
  5. He argues India’s 2020-era space privatization reforms catalyzed a new wave of private space startups, and that IIT Madras’ network, advisors (ex-ISRO/DRDO), and investor ecosystem collectively reduce execution friction for deep-tech founders.

IDEAS WORTH REMEMBERING

5 ideas

Consistency is the unlock for a “Google Maps moment” in Earth imaging.

GalaxEye’s thesis is that many downstream SaaS applications (agri, rail, infrastructure, risk) stall because imagery delivery is unpredictable; improving availability and revisit reliability can enable whole new categories of products.

SAR solves availability; multispectral solves interpretability—fusion targets both.

Optical imagery is intuitive but blocked by clouds/night, while SAR works through clouds and at night but looks like “X-ray” noise; combining them aims to create imagery that is both frequent and easy for non-experts to use.

Deep-tech execution depends on disciplined systems engineering, not just ideas.

Suyash frames satellite building as a staged process (idea→concept→PDR→CDR→AIT) with mass/power/volume budgeting, supply-chain design, and harsh-environment testing (thermal-vac, vibration) to avoid “debugging in orbit.”

De-risking hardware can happen before space via aerial testbeds.

Instead of flying an unproven payload, GalaxEye miniaturized its sensor stack for drones/aircraft/HAPS and ran 400+ flights to mature algorithms and architectures before committing to orbital deployment.

ISRO’s POEM provides a pragmatic “0-to-1” stepping stone for startups.

POEM lets teams fly and validate a critical subsystem in orbit on a shared ISRO platform, reducing technical uncertainty and giving founders hands-on experience with launch integration workflows.

WORDS WORTH SAVING

5 quotes

If I can't build a deep tech project here, I can never do it in my life.

— Suyash Singh

We are a data company. We acquire data from space.

— Suyash Singh

Earth is covered by clouds around 70%… during the nighttime, your cameras can't… click pictures.

— Suyash Singh

Radar is available, but not intuitive… it is like X-ray.

— Suyash Singh

India space… walked so far, and we will now run.

— Suyash Singh

Read the available transcript
IIT Madras as a deep-tech startup incubatorAvishkar Hyperloop origin and infrastructure challengesGalaxEye’s “data company” framing for space imagingCloud cover/nighttime as the imaging consistency problemSAR bands (L/C/X) and penetration vs resolution tradeoffsMultispectral + SAR data fusion for usabilityEarth-imaging applications: mapping, commodities, defense, assetsSatellite mission lifecycle: PDR, CDR, AIT, launch readinessPOEM (PSLV Orbital Experimental Module) as pre-satellite validationIndia’s 2020 space/geospatial policy reforms and private boomTesting on aerial platforms (drones/aircraft/HAPS) before orbitSpaceX influence: vertical integration and COTS vs space-grade debateTalent strategy: generalists-to-specialists + ex-ISRO/DRDO advisory layerFundraising narrative: macro trends + proof from prior deep-tech execution

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