Building the next paradigm of planetary observation
We have finalized our technical planning blueprints and are anchoring our core foundational crew. We are looking for believers, deep-tech engineers, and visionaries to launch this journey from ground zero.
We do not just plan to launch satellites; we re-engineer hyperspectral payload architecture through solid-state physics.
Replaces physical metal entrance slits prone to expansion with low-power (<0.5W) Liquid Crystal Phase Modulators to programmatically eliminate smile distortions.
Suspends the core optics housing via high-frequency ultrasonic standing waves, completely isolating payloads from 100-500 Hz reaction wheel jitter.
Routes split VNIR and SWIR spectral paths through sub-wavelength structures forcing photons onto uniform refractive paths, resisting structural launch stress.
Integrates radiative transfer metrics directly into loss functions, allowing ground pipelines to isolate features occupying less than 10% of a 5m frame.
Self-calibrating preprocessing loops monitor planetary calibration points to automatically neutralize atmospheric drift signature variances.
Trains parallelized micro-MLPs on the fly to downlink only tiny network weights ($\theta$), slashing processing overhead and thermal load by up to 70%.
Sourcing specialized sub-wavelength metamaterial substrates, verifying acoustic cradle suspension algorithms, and mapping foundational neural implicit layers.
Fabricating solid-state optical modulator arrays, launching high-frequency piezo-acoustic feedback validation matrices, and simulated software stress-testing.
Launching our primary sovereign smallsat nodes, initializing the neural compression pipeline, and distributing access arrays via the Sutra-Core SDK framework.
Every critical technological boundary requires deep specialization. We have divided our early design layout into clear technical units.
Owns physical solid-state modular hardware optics layers, graphene mask designs, and structural levitation dynamics.
Builds on-satellite MLP continuous function training frameworks and thermal mitigation embedded controls.
Architects physical loss unmixing parameters, cloud infrastructure arrays, and atmospheric tracking drift models.
Transforms baseline space imagery matrices into scalable enterprise solutions, managing developer ecosystems and global policies.
If you are an optical physicist tired of standard lenses, an embedded hardware engineer wanting to train multi-layer neural functions in orbit, or a geospatial researcher who wants physical laws baked directly into network layers—we want you. There are no complex legacy layers here yet. Just pure engineering vectors and a direct track to low Earth orbit.
Co-founding role overseeing technical interdependencies crossing all hardware and firmware segments. Directs the primary architectural engineering loops.
Responsible for the physical design validation of the Liquid Crystal Phase Modulator masks and anisotropic metamaterial optical paths.
Focuses on stress-testing and prototyping the zero-contact ultrasonic acoustic-levitation cradle to entirely shield sensors from high-frequency jitter.
Validates advanced solid-state substrates and atomically thin graphene grids to preserve lightweight and ultra-low-power parameters.
Architects spatial-spectral flight data layouts onto edge computing chips, maintaining strict power boundaries and execution timelines.
Implements localized neural representation networks to extract and downlink compressed weights, minimizing critical thermal limits.
Oversees ground cloud intelligence telemetry infrastructures, spectral signature matching algorithms, and predictive reliability profiles.
Builds graph neural network (PINN-GNN) layers with loss functions that embed radiative transfer formulas for deep sub-pixel feature tracking.
Designs programmatic, automated domain adaptation loops that cross-reference stable earth markers to instantly equalize atmospheric drift.
Translates core spatial-spectral datasets into enterprise product layers, configuring developer accessibility mechanics for the Sutra-Core SDK.
Manages global dual-use satellite imaging regularizations, national residency protocols, and routes high-touch institutional procurement streams.