AI that lives on the shop floor
We help industrial and discrete manufacturers turn machine data, work orders, and tribal knowledge into AI tools that operators and engineers actually use.
- MES
- ERP
- CMMS
- SCADA and historian
- Quality (QMS)
- Edge gateways
From data lake to daily standup
Manufacturers don't need another dashboard. They need AI that turns the data you already collect into decisions your operators, planners, and engineers can act on today.
Predictive maintenance
Combine sensor, vibration, and work-order data to flag asset risk early — with the evidence techs need to act on it confidently.
Quality inspection
Vision and tabular models that catch defects on-line, route borderline cases for review, and learn from every override.
Supply chain planning
Demand sensing, supplier risk scoring, and inventory copilots that turn planner instinct into a defensible weekly plan.
Shop-floor copilot
An assistant on the line tablet that pulls SOPs, change orders, and prior tickets — in the operator's language, in seconds.
Where Supremacy ships AI on the floor today
We pair with your operations and IT teams to take a single high-leverage use case live at one site, prove the impact, and template it for the rest of the network.
Engineering knowledge
Search and summarize across drawings, BOMs, and specs — surfacing the right revision, every time, with citations.
Process optimization
Mine recipes and process logs to surface settings that ran cleaner, faster, or with less scrap — and make them repeatable.
Safety and incidents
Cluster, summarize, and learn from near-miss and incident reports — turning unstructured notes into a clear corrective action queue.
Energy and sustainability
Spot energy waste at the line and asset level, with prioritized fixes ranked by payback and emissions impact.
Plant-floor safe, IT-team friendly
Industrial AI has to live next to PLCs, ERPs, and the people running them. We deliver inside the controls your operations and security teams already trust.
IEC 62443 aware
We design for segmented OT networks, signed firmware paths, and least-privilege service accounts — never asking the plant to weaken its perimeter.
Air-gap friendly
Our agents and copilots run with offline-first patterns where the line demands it — sync windows, signed bundles, and zero unattended egress.
ITAR / export aware
Where designs, drawings, or specs are export-controlled, we keep models, prompts, and logs inside the geography and citizenship boundary you require.
ISO 9001 traceability
Every AI-assisted decision flows into the same quality records your auditors already pull — so AI is one more documented step, not a black box.
See what we build
Predictive operations
Models that turn sensor and work-order history into early warnings for downtime, scrap, and quality drift — before the line feels it.
See related workEngineering copilots
Assistants that surface drawings, SOPs, and prior incidents in seconds — so engineers spend more time fixing and less time hunting.
See related workSupply chain agents
AI that watches demand, supplier risk, and inventory levels — and drafts the planner's next move with the math behind it.
See related workFAQs
With one line, one plant and one problem that already has a cost — unplanned downtime on a critical asset, scrap nobody can explain, or a planning cycle that runs on a spreadsheet. We instrument that, prove the change against your own history, and template what worked for the next site.
No. We build alongside what runs the plant today and land the output inside it, so an alert reaches the CMMS your crews already work from and a plan reaches the ERP finance already reads. Replacing a system of record is a separate decision, and rarely the one that pays first.
We design for segmented OT networks — scoped service accounts, no new inbound paths, no flattening of the perimeter — and deploy to the edge where latency or uptime demands it. Where a site is air-gapped, updates arrive as signed bundles on a sync window rather than as a live connection.
We backtest against your own incidents, scrap records and downtime logs before anything reaches an operator, and keep scoring it once it is live. If a model cannot beat current practice on your data, that is the finding, and we say so.
You do. Systems run in your accounts under your keys, and the pipelines, models and evaluation sets are documented and handed over. Nothing here depends on us still being in the building.