Autonomous systems, engineered to perceive, decide and act.
Today's AI talks. It generates text, images, answers. But it does not touch the world. SINSTRY was built on a simple idea: AI must leave the screen. It must perceive physical reality, decide in real time, and act alongside humans. Our first field is agriculture, where an autonomous camera watches, understands and alerts without depending on the cloud.
Not control. Not replacement. Intelligences and humans sharing the same physical space, working together, completing each other. This is the next step of our society.
Entities that perceive, learn and act. Not models that tell stories. Machines that become physical. Our work is to give them a place among us, on Earth, in reality.
First physical ecosystem. Autonomous trailcam, multi-head Argus detection, SvelteKit PWA. Affordable, solar-powered, no grid. The first example of AI watching the real world for humans.
World model pretrained from scratch to predict video, not memorise the internet.
Training and inference engine built from scratch, no pre-trained weights.
Annotation tool, 3,830 media items, 3,747 annotations, 23-class ontology, content-addressable storage, end-to-end training pipeline.
Finalise Argus agricultural configuration, deploy VERTEX in production, validate Prometheus V1.
Release Prometheus v1 as the shared backbone, scale Argus to new domains, launch Terminus, industrialise the training pipeline.
Ouranos drone control, Gaussian Splatting 3D field models, edge-first inference.
Multi-form autonomous entities, open ecosystem, AI integrated into human reality.
Three principles guide our engineering.
We do not optimise benchmarks. We optimise for the conditions, constraints and failures of real environments.
Our models run where the data is produced, with no dependency on cloud connectivity or third-party APIs.
We train our own models, build our own hardware, and operate the infrastructure that serves our customers.