How We Got Here
Not Built
in a Vacuum.
Most infrastructure startups build a platform first and go looking for customers after. Fluxor's products happened in the other order.
Fluxor Software is a data and AI software company. Every product we sell started as a real engagement with a real client, solved first, productized second, opened to anyone after that. From large enterprises to single-site small businesses, that's still how we build.
How We Got Here
Most infrastructure startups build a platform first and go looking for customers after. Fluxor's products happened in the other order.
What We Do
Fluxor isn't a vision company or a database company; it's a data and AI software company that works across four practices, cloud-native or fully offline, for companies of any size.
Detection, counts, and trends across image and video, from cloud pipelines to privacy-first on-sensor inference. Sightlinq's category, and an active engineering practice under Fluxor Engineering.
Pipelines, storage, governance, and versioning built for the environment the client actually runs, not a reference architecture that assumes a green field.
Model training, deployment, and GenAI reasoning, on your own hardware or plugged into AWS Bedrock, Google Vertex AI, or Azure OpenAI.
Sensor networks and edge stream processing, PiEdge's origin, built for the box on the wall rather than a datacenter cluster.
Sightlinq, PiEdge, SchemaShifts, Threadlinq, and Fluxor Engineering: five independent ways to work with us.
Explore productsDeployment Philosophy
We don't force a single deployment model on anyone. Cloud-native or fully offline, your data stays yours and your infrastructure choice stays yours. The product adapts, not the customer.
AWS Bedrock, Google Vertex AI, Azure OpenAI, and standard cloud object storage, supported as first-class options, not workarounds.
Air-gapped, on-premise, no external calls, for regulated, IP-sensitive, or simply disconnected environments.
Fluxor Software Limited
Get in touch
That's usually how our products start. Tell us what you're working on: vision, edge, data, or something that doesn't have a name yet.