6-inch
InP wafer scale
Built to move photonic-chip fabrication toward efficient industrial throughput.
World-first AI-native InP photonic chip design platform
Design InP Chips at the speed of light.
Aitonomi Photonics automates the development of InP photonic chips, helping teams generate, simulate, optimize, and prepare manufacturable indium phosphide photonic integrated circuits with physics-aware AI and foundry-conscious constraints.
Eindhoven InP pilot line
A new 6-inch InP manufacturing path is taking shape at High Tech Campus Eindhoven.
TNO’s PIXEurope pilot line connects research and industrial manufacturing for advanced indium phosphide photonic chips, giving design teams a European route from AI-assisted topology to realistic fab validation.
HTCE
Eindhoven campus
Building and cleanroom infrastructure are being constructed at High Tech Campus Eindhoven.
PIXEurope
EU pilot-line programme
Part of Europe’s open-access initiative for photonic chips under the Chips JU ecosystem.
10,000
wafers per year goal
Reported target for the facility as it scales toward industrial manufacturing capacity.
Sources: TNO and PhotonDelta
Platform architecture
A world-first co-pilot for difficult InP photonic decisions.
Replace disconnected scripts, late-stage simulations, and intuition-only tradeoffs with a world-first unified design environment built for InP photonic integrated circuits.
01
AI topology search
Generate InP photonic layouts from system intent.
Explore InP waveguide networks, resonator configurations, splitter trees, and active/passive component choices against manufacturable design rules before committing engineering weeks.
02
Physics-aware simulation
Keep electromagnetic behavior inside the design loop.
Surrogate models, field solvers, and compact-model feedback help teams compare performance, loss, thermal drift, and process variation earlier.
03
PDK-ready workflow
Move from concept to verified masks without translation loss.
Constraint libraries, versioned experiments, and export-ready layouts support InP photonics design flows and foundry collaboration.
Software cockpit
One environment from topology to InP tapeout packet.
Engineers can compare generated architectures, inspect constraint pressure, trigger simulation tiers, and preserve design rationale without leaving the platform.
Constraint-aware layout generation
Model fidelity escalation
Experiment lineage and review packets
European innovation setting
From Düsseldorf campus energy to chip-design laboratory discipline.
The visual system connects Aitonomi Photonics to a European deep-tech environment: TRIO campus imagery signals proximity to Düsseldorf's innovation ecosystem, while the laboratory scene grounds the world-first InP photonic chip developments in design verification, wafer review, and multidisciplinary engineering.
Chip design lab
Software that respects experimental reality.
A stronger laboratory story shows the bridge between world-first AI-generated InP photonic architectures and the scientists who validate optical performance, process assumptions, and manufacturing readiness.
TRIO campus · Düsseldorf
A European base for photonics collaboration.
Campus visuals add a grounded sense of place for partners, investors, and technical teams evaluating Aitonomi Photonics from the DACH innovation corridor.
InP application paths
InP photonics for data centers and autonomous driving.
Aitonomi Group connects InP photonic-chip design to two high-value AI infrastructure use cases: optical data-center connectivity for accelerator clusters and autonomous-driving systems that depend on fast sensing, fusion, and efficient edge intelligence.
InP data centersAutonomous drivingPhotonic AI infrastructure
Optical I/O
Data-center AI infrastructure
Move bandwidth with light inside AI clusters.
InP photonic circuits can support optical interconnects, co-packaged optics, and low-latency links for dense accelerator systems where electrical I/O becomes a power and heat bottleneck.
Edge AI
Autonomous-driving intelligence
Bring photonic sensing and efficient inference closer to the vehicle.
For autonomous-driving stacks, InP photonics can support LiDAR and coherent sensing paths, fast sensor fusion, and energy-aware edge inference for perception and control.
Application view: InP photonic chips link cloud-scale AI infrastructure with autonomy stacks that need high-bandwidth sensing and low-power intelligence.
Design workflow
Built for teams who cannot afford opaque automation.
01
Specify the optical system
Define wavelength bands, insertion-loss budgets, thermal limits, routing constraints, and preferred InP component families.
02
Search feasible architectures
AI agents evaluate candidate topologies while respecting InP waveguide bends, coupling gaps, footprint targets, and process assumptions.
03
Validate with model fidelity
Simulation tiers graduate from fast compact models to high-resolution field analysis where confidence and sensitivity demand it.
04
Package for manufacturing
Generate review packets, export layout-ready artifacts, and preserve the full reasoning chain for InP design reviews and foundry handoff.
Validation layer
Optimize for performance, manufacturability, and confidence.
Aitonomi Photonics is designed for organizations building world-first InP photonic chips where architecture choices affect downstream yield, packaging, and system economics.
AI accelerator optical interconnects
Co-packaged optics and data-center links
LiDAR and coherent sensing engines
Quantum photonic control circuits
High-bandwidth switching fabrics
InP foundry PDK enablement programs
Design-space intelligence
Rank candidates by optical loss, footprint, thermal stability, manufacturability, and architecture risk in one calibrated view.
Constraint-governed automation
Guardrails keep generated designs aligned with PDK limits, review policies, and team-specific engineering assumptions.
Yield-aware sensitivity
Surface performance cliffs, lithography tolerance concerns, and tuning margins before a topology becomes expensive to unwind.
Collaborative decision trails
Every experiment records inputs, model versions, comparisons, and tradeoff rationale for cross-functional design reviews.
Engineering evaluation
Bring AI into the photonic design loop.
Use the form brief below to frame a technical review for your team. As part of the Aitonomi Group technology narrative, Aitonomi Photonics is positioned for world-first InP photonic chip developments across startups, semiconductor groups, foundries, and infrastructure teams designing high-bandwidth optical systems.