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 infrastructure 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 infrastructure 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 — PyEdge's origin, built for the box on the wall rather than a datacenter cluster.
Sightlinq, PyEdge, SchemaShifts, and Fluxor Engineering — four 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.