Energy optimization
Reduce consumption & costs
DeployWhere does the line 3 stop sit against the rest of the backlog?
Top of triage. The pump 4 vibration trend and the cell B scrap drift are queued behind it, two work orders are in repair, and the line 2 spindle recalibration verified three days ago. WO-5521 carries the diagnosis and the parts list.
Context agents work plant telemetry, maintenance history, and supplier data inside your perimeter, so operations data stays yours.
Data control, traceability, predictable cost, and time to value, addressed before an agent touches process data or operational systems.
Plant telemetry, recipes, and ERP data stay inside your VPC or on-prem, often at the edge near the line, never shipped to a vendor cloud.
Every disposition and recommendation traces to the sensor reading, work order, or lot that drove it, ready for quality and safety review.
Routine steps run on cheaper models, and the most capable ones are saved for genuinely novel events, so analysis across continuous telemetry stays affordable.
Bring an operations or quality workflow your engineers run today and have it live in production within a week.
Across operations, quality, and the supply chain.
Correlate downtime to causes across the line, summarize shift handoffs, and surface the constraint to fix next.
Triage quality events, draft dispositions against your plan, and keep an auditable trail for every nonconformance.
Read sensor and work-order data, flag developing failures, and prioritize maintenance before it stops the line.
Track supplier lead times and inventory, surface the parts that move a schedule, and explain the trade-offs.
Keep safety and environmental records audit-ready and draft the reports your obligations require.
Measure yield, scrap, and OEE, and explain where throughput and cost are leaking.
Traceable to the sensor
Failure calls point to the vibration trend and overdue maintenance behind them, and rank the assets heading the same way.
Your team's accepted outputs become training data for models you own and serve, and they beat general-purpose agents on your specific tasks.
Rubrics and golden sets validate every runbook, model, and context change against past work before it ships. Regressions are caught automatically.
Each step routes to the cheapest model that clears your rubric. Frontier models handle only the genuinely novel, so cost falls without losing quality.
Workspace, Engine, Unify, and Evals cover operations, quality, and supply end to end, on your infrastructure and under your controls. The platform learns your process, quality plan, and supply network, and applies them to every run.
Each accepted run makes the next one better. Engineer corrections become the standard the next run is held to.
Historian, MES, ERP, and CMMS connect once under your existing permissions, often at the edge near the line.
Operations, quality, and supply runbooks execute inside your perimeter, each step traced to the reading that drove it.
Reviewers accept or correct dispositions in the flow of work, and corrections are captured as standards, not lost in a logbook.
Routine work moves to cheaper models that still meet your standard, and models trained on your approved work outperform general ones on your process.
Turnkey agents for Industrials, integrated with your systems and deployed in days. Each one runs inside your perimeter under your identity and permissions.
Reduce consumption & costs
DeployStock levels & reorder points
DeployPredict failures & schedule repairs
DeployOEE & throughput improvement
DeploySequences & changeovers
DeploySPC & corrective actions
DeployContext connects to the tools this work already lives in, and every connector call inherits the caller's permissions. These are the systems the agents above plug into.
Industrial teams run Context hosted, in their own cloud, fully air-gapped, or on premises. Sensitive data is never moved into someone else's cloud.
Hosted, in your own cloud account on AWS, Azure, or GCP, fully air-gapped with no outside connection, or on the on-prem appliance. The same platform in every setup.
Your team's approved work trains models you own. What the system learns about your firm stays inside your environment and never leaves it.
Agents sign in through your identity provider, like Okta or Azure AD, and get the same access as the person using them, and nothing more.
Every run is recorded step by step, with who ran it and what it touched. Nothing an agent does is a black box to the team accountable for it.
Talk to us.
Bring a downtime log, a stack of quality events, or a supply schedule. We will show you what Context does with it inside your perimeter.