Aumnium engineers Project Gödel — a magnonic-photonic neuromorphic compute substrate built to power humanoid robots, drone systems, planetary-scale spacecraft, programmable-matter platforms, and the self-assembly factories that build them. One brain fabric. From PCIe accelerator to drone-spine SiP. Made in India, shipped worldwide under NDA.
A humanoid robot on a 2 kWh budget cannot run a data-center GPU. A swarm of 1,000 drones cannot share a cloud. The autonomous era will be won on energy-per-operation, not nominal TFLOPS — and silicon at the physical limit will not get there alone.
Spin-waves carry information at gigahertz with sub-femtojoule per operation. Photons carry it between dies and across kilometres without resistance loss. Aumnium's Gödel architecture co-integrates both — a hybrid neuromorphic fabric engineered for the workloads silicon was not designed for.
The same architecture powers a single embodied agent and a planetary-scale collective. Smartmatter atoms, drone meshes, humanoid cohorts, self-assembling factories — all running on one coherent compute substrate, with the photonic interconnect doing the work the network cannot.
Aumnium Technology Pvt Ltd designs, tapes-out, and qualifies Gödel silicon in Bengaluru. Production via partner foundries, qualification on India's defence and space standards, samples shipping under bilateral NDA to qualified partners worldwide.
From the silicon up: the Gödel Hyperchip, the embodied SiP variant for in-robot integration, the cluster fabric for multi-agent meshes, the MagPhotic SDK that compiles to magnonic-photonic ISA, the Smartmatter Atom physical-computing primitive, and the operations and manufacturing platforms built around them.
1.0 PETA-OPS magnonic-photonic neuromorphic compute on a FHFL PCIe Gen5 ×16 card. Hybrid YIG spin-wave logic with Si₃N₄ photonic mesh fan-out. Power: 20–40 W. Drop-in workstation and edge-server form factor.
32 × 32 mm BGA, <8 g — the in-platform integration of the same neuromorphic core. Single-rail 5–12 V from a drone or humanoid spine bus. Self-supervised on-platform learning, no cloud-training dependency.
The physical primitive of programmable matter — a millimetre-scale node carrying a Gödel-derived compute core, photonic bonding facets, and inter-atom mesh fabric. Atoms self-organise into structures, sensors, actuators, and computational surfaces under SDK control.
Up to 1024 Gödel cores in coherent photonic mesh — SMF-28 fibre couplers, sub-microsecond inter-core latency, single-system-image addressability. The substrate for planetary-scale embodied collectives.
C++17 and Python 3.12 bindings, HyperLLVM compiler with magnonic-photonic ISA backend, PyTorch / JAX / TensorRT integration via XLA custom-op. Reference vision-language-action graphs for humanoid and UAV stacks. Collective-ops library for swarm and smartmatter coordination.
Portable mission consoles for research and industrial operations — humanoid and UAV fleet monitoring, telemetry, simulation-in-the-loop. Self-Assembly Foundry — programmable-matter manufacturing platforms producing complex goods from Aumnium-powered Smartmatter feedstock. Both built on the same SDK and cluster fabric.
Codename Project Gödel — Aumnium's hybrid neuromorphic compute substrate. A YIG (Y₃Fe₅O₁₂) thin-film magnonic core executes spin-wave logic at GHz carriers; a co-integrated Si₃N₄ photonic mesh handles inter-die and inter-agent fan-out. The architecture is the culmination of Aumnium's multi-year SNLDMC research program — issued under bilateral NDA to qualified partners.
| Brain Substrate | Hybrid magnonic-photonic neuromorphic fabric on Si interposer |
| Magnonic Core | YIG (Y₃Fe₅O₁₂) thin-film spin-wave logic array |
| Magnonic Bandwidth | 1–60 GHz carrier (research range to 100 GHz) |
| Photonic Interconnect | Si₃N₄ / Si waveguide mesh · 8 wavelength channels |
| Photonic Carriers | 1310 nm O-band & 1550 nm C-band · WDM mesh |
| Synaptic Throughput | 10¹⁵ events/s target (spike-event driven) |
| World-Model Inference | On-chip VLA + policy synthesis at >100 Hz |
| On-Chip Learning | Hebbian + STDP update primitives in magnonic domain |
| Peak Throughput | 1.0 POP/s sustained (vector-matrix workloads) |
| Energy per Operation | <1 fJ target (research roadmap) |
| Optical Fan-Out | 8× LC-duplex SMF-28 fibre couplers · agent-cluster mesh |
| Inter-Brain Link | Photonic mesh · cluster up to 1024 Gödel cores |
| Magnonic Inter-Die | On-package microwave bus (60 GHz waveguide) |
| Host Bus | PCIe Gen5 ×16 (128 GB/s bidirectional) |
| Coherent Mesh | CXL 3.0 type-2 device for accelerator pooling |
| Sensorium Bus | 16× MIPI CSI-3 + 4× MEMS / IMU channels (embodied SiP) |
| Telemetry | I²C + 1-Wire on cryo-shield headers |
| Cryo-Headers | Reserved for sub-ambient operation modes |
| Host Power | 12 V from PCIe + 12 V auxiliary EPS connector |
| Cryo Mode (opt.) | 77 K / 4 K operation reduces magnonic loss ≥ 8× |
| Research Carrier | FHFL PCIe accelerator card (267 × 111 × 35 mm) |
| Embodied SiP | BGA · 32 × 32 mm package, robot/drone spine |
| Weight (Carrier) | 1.2 kg (with magnetic shielding) |
| Weight (SiP) | <8 g (drone / micro-platform integration) |
| Magnetic Shielding | μ-metal can, residual field < 10 µT external |
| Cooling | Active liquid loop · 0.5 L/min (carrier) / passive (SiP) |
| Operating Temp. | 0 °C to +60 °C (ambient mode) |
| Storage Temp. | −20 °C to +70 °C (preserves bias array) |
| Optical Cleanliness | Class 100 fibre handling required at install |
| SDK | Aumnium MagPhotic SDK · C++17 + Python 3.12 |
| Compiler | Aumnium HyperLLVM · magnonic-photonic ISA backend |
| Framework Bridges | PyTorch 2.x · JAX · TensorRT via XLA custom-op |
| Embodied Runtime | World model + policy + action loop on-die |
| Reference Graphs | VLA stacks for humanoid + UAV platforms |
| Collective Ops | Swarm and smartmatter coordination library |
| Distribution | NDA-only research preview · pre-qualification silicon |
| ESD Handling | Aumnium ESD Class 1 |
| Production Roadmap | ISO 9001 → MIL-STD-883 die-level qualification |
| India Standards | Aligned with Defence Acquisition Procedure (DAP-2020) categories |
A Smartmatter Atom is a millimetre-scale Aumnium-powered node — a Gödel-derived compute core, a photonic bonding fabric, sensors, actuators, and local energy storage packaged into a single self-assembling primitive. Atoms bond, communicate, reconfigure, and dissolve under SDK control. Buildings of them become structures, sensors, actuators, or computational surfaces — and disassemble again when the work is done.
| Form Factor | Spheroidal, ~1.5 mm diameter (single atom) |
| Compute Core | Gödel-derived neuromorphic die · sub-mm packaging |
| Bonding Facets | 8 photonic ports per atom · O-band + C-band optical bonds |
| Inter-Atom Mesh | Light-coupled neighbor protocol · μs handshake |
| Sensors | MEMS · accelerometer · thermal · hyperspectral (selectable) |
| Actuation | Piezoelectric · electrostatic · field-effect (variant) |
| Energy | Local cell + RF / optical wireless charging from substrate |
| Coordination | SDK collective-ops · cluster of cluster routing |
| Aggregate Behaviour | Self-assembly, shape morphing, sensor surfaces, compute fabrics |
| Reconfiguration | Programmable on-demand at the SDK or Cluster Fabric level |
Powered down, photonic bonds passive, core off. Storage and transit state. Re-activated by RF or optical wake signal.
Core engaged, photonic facets transmitting, neighbour mesh online. Computing and ready to bond.
Hexagonal close-packed cluster — the elementary structure unit. Reconfigurable on command. Larger assemblies form sheets, lattices, and volumes.
The same Gödel substrate runs from a single molecular-scale core inside one Smartmatter Atom to a fault-tolerant cluster of millions. One coherent fabric — operating system, security infrastructure, swarm intelligence, programmable matter — all addressable by the same SDK.
An agent-based distributed operating system — the metaglue layer that lets humanoid robots, drone fleets, shapeshifting transformers and individual Smartmatter Atoms cooperate as one coherent fabric. The Gödel substrate addresses every scale, from a single molecular core to a planetary collective, through the same SDK. Self-healing, self-organizing, fault-tolerant. Failed nodes are routed around in microseconds; the substrate continues to function as parts of it are removed or replaced.
Rapid implementation and neuromorphic acceleration of NIST-standardized post-quantum cryptographic primitives — lattice-based (Kyber, Dilithium), hash-based (SPHINCS+), and code-based schemes — for blockchain protocols, DeFi infrastructure, and traditional financial systems. The compute substrate that quantum computers cannot break, deployed where the cryptographic transition matters most.
Military-grade cryptanalytic research, side-channel analysis, protocol verification, and security auditing — accelerated by neuromorphic pattern recognition operating at sub-femtojoule per operation. The Gödel architecture is a research instrument for cryptographic teams in government, defense, and academic institutions. Engagement under bilateral NDA with end-use review.
The Smartmatter Atom as the elementary unit of self-organizing, fault-tolerant networks — millions of nodes per cubic metre, each carrying its own molecular-scale Gödel processor. Atoms form structures, sensors, computational surfaces. Dissolved and reassembled on demand. The substrate of an industrial future where matter itself is programmable.
Aumnium engages with vetted partners building consequential autonomous physical systems. Engagement begins with a bilateral NDA and a technical fit interview; samples and SDK access follow for qualified counterparties.
Humanoid, industrial, surgical, agricultural, and warehouse robotics manufacturers integrating frontier neuromorphic compute as the brain of next-generation embodied platforms.
Civilian and commercial UAV makers — inspection, mapping, agriculture, search-and-rescue, scientific atmospheric and oceanic platforms — seeking edge-coordinated swarm intelligence with sub-watt budgets.
Satellite operators, space-station builders, planetary exploration programs, and in-space manufacturing platforms requiring radiation-hardenable, autonomous onboard inference and decision systems.
Programmable-matter and self-assembly platform integrators — medical devices, advanced construction, environmental remediation, custom-engineered materials. The Smartmatter Atom as feedstock for goods that build themselves.
Universities, national labs, AI research organizations, and applied research consortia needing neuromorphic compute as a research instrument — for cognitive architecture work, neuroscience-inspired computing, and frontier physics.
The Gödel architecture is dual-use. Defense and government aerospace customers engage with Aumnium under bilateral NDA and end-use review. MIL-STD-883 die-level qualification is on the production roadmap; current silicon is research preview. Aumnium does not market end-deployed autonomous weapons systems.
Aumnium engagement begins with a brief technical fit interview. Tell us about your application — autonomous platforms, research, OEM integration, or partnership inquiry — and the team will respond within forty-eight hours.