
Vision
Perception SDK
Cameras in, detections, tracks, counts and events out. Govern the data, gate the model, run it on your own GPUs.
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R&D × AHOY Technology × Physical AI
One city, five SDKs. Scroll to see howSee how AHOY Labs research helps machines see, understand and act in the physical world.
Perception SDK · Live
Cameras already on the street become sensors. People, vehicles and assets are detected and tracked, and anything unusual is flagged.
Perception SDKVoice SDK · Live
Voice agents clean real-world audio, understand the request and answer in real time, grounded in your own data.
Voice SDKData Intelligence SDK · Live
A knowledge graph above the city links what is seen and heard to what is known, and answers with sources.
Data Intelligence SDKTokenization SDK · In research
Secure tokens carry what the system needs to the edge, while the raw data stays in its vault.
Tokenization SDKGenAI SDK · In research
Multimodal generation, from expressive dubbing to personalised visuals, built from work the lab has already shipped.
GenAI SDKAHOY Machine Studio
Lab SDKs see, hear and understand. AHOY decides and acts: routes, alerts and answers, on the edge, on premises or in the cloud.
All SDKsImplementation partners
Trusted by innovative teams
SDKs
Each one starts as a research track in the lab and is hardened inside AHOY before it reaches customers. Every live SDK has a playground you can open in the browser.
Swipe for all 5
Why teams choose AHOY Labs
Every SDK runs on your hardware, on premises or in your cloud. Nothing has to leave the building.
Perception, Data Intelligence and Voice run inside AHOY and partner products today.
Lightweight runtimes made for cameras, sites and devices, not only data centres.
Use one SDK on its own or combine them. Voice already runs on Data Intelligence.
Grounded outputs with sources, versions and audit trails your compliance team can follow.
Research
Autonomous agents that plan, reason and collaborate to solve multi-step problems.
Dynamic knowledge graphs that evolve in real time to represent complex world states.
Training models across silos without ever exposing the raw training data.
Verifiable computation and zero-knowledge proofs for AI outputs.
Managing thousands of models and agents across distributed infrastructure.
Sub-millisecond decision making for physical-world control systems.
FAQ
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Research that leaves the lab and runs on your terms: your hardware, your data, your sovereignty.