Cheapest first.
Empty frames, silence and blank pages are dropped by simple filters before any model runs.
Introducing Resolve, our fast decision-making model. Meet Resolve →
Cameras, microphones, documents and sensors, turned into observations your team can act on.
A spreadsheet doesn’t need a vision model, and a camera feed doesn’t need a language model. Sense matches the mechanism to the signal: rules where rules will do, small specialised models where they won’t.
Empty frames, silence and blank pages are dropped by simple filters before any model runs.
Small models trained for one job: species, defects, depth, handwriting, speech.
Every observation keeps its frame, region, page or second, so a person can check it.
Each kind of signal has its own page, showing what the AI picks out of it.
Camera feeds, live or recorded. Tracks, zones, counts and events.
Explore videoCamera traps, line cameras, drones, site photos. Species, defects, conditions and markings.
Explore imagesOrdinary images and drone surveys. Volumes, distances, clearances and progress.
Explore depthScans, PDFs, forms, stamps and handwriting. Fields tied to where they sit on the page.
Explore documentsCalls, radio, voice notes, machine sounds. Transcripts, key moments and acoustic alerts.
Explore audioNot everything worth sensing is a picture or a sound. Sense also reads the data your equipment and systems already produce.
Vibration, temperature, pressure and flow from SCADA and plant historians, lined up in time.
Alarms, telephony logs, access records and system events, parsed to the second.
ERP, CMMS and WMS exports, EDI messages and spreadsheets, read as they are.
The AI goes to where the work is, from hosted to air-gapped.
Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement.
Discuss hostedDeploy dedicated instances in your AWS, Azure, Google or Oracle account. Align the architecture with your cloud standards, operational responsibilities and integration requirements.
Discuss public cloudRun it inside your own private cloud or VPC, with network access, storage and controls set around your boundary.
Discuss private cloudRun software, storage and local inference on your own servers. Plan capacity, integration, maintenance and support around the environment your team operates.
Discuss on-premisePlace intelligence near industrial sites and operational equipment, where latency and connectivity shape the design. Match the workload to the local compute available.
Discuss edgeOperate local workflows without a continuous internet connection. Define how data is transferred, how updates are applied, and what must remain available offline.
Discuss offlinePlan for an installation with no external network connection. Local models, dependencies, data transfer and maintenance all become part of the deployment design.
Discuss air-gappedEach one is tested on your own work before you rely on it.
From piles of paper to records you can use.
Explore Understand →Every line compared. Only the gaps reach you.
Explore Check →Follow the evidence across systems. Find out what happened, and why.
Explore Investigate →Know what comes next, and plan for it.
Explore Anticipate →The next step, taken. The reason, recorded.
Explore Operate →Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run.
Talk to us →