Turn manufacturing data into production wins.

Catch OEE drops, quality escapes, and supplier failures before they hit your schedule. Orion analyzes your production, quality, and supply data in minutes — and surfaces actionable root causes your team can act on immediately.

Opportunity

Line 4 OEE trending 8% above baseline. Material utilization improved — opportunity to increase throughput on high-margin SKUs.

Risk

Reject rate on Line 2 spiked 12% this shift. Correlates with material batch 4521 — recommend immediate quality review.

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Real manufacturing scenarios.
Running autonomously.

Production Stoppages Surfacing After the Shift

Identifies the upstream process variable behind a yield drop before the next shift starts — not after the damage is already recorded.

Analyzes: Machine uptime, cycle times, shift logs, reject rates, and maintenance history across lines and facilities.
Delivers: Real-time OEE scores by line and shift, predictive downtime alerts, and root-cause attribution reports sent to plant leadership automatically.

Supply Disruptions Invisible Until They Hit the Line

Surfaces multi-tier supplier exposure 4-6 weeks before a disruption reaches your facility.

Analyzes: Supplier scorecards, lead time variance, purchase orders, inventory positions, and logistics data across the supply network.
Delivers: Supplier risk scores, reorder triggers, and mitigation recommendations — delivered to procurement automatically before inventory thresholds breach.

Quality Escapes Found After the Return

Links defects to upstream process variables so engineers fix causes, not symptoms.

Analyzes: Inspection records, defect codes, process parameters, material lot data, and customer return history.
Delivers: Predictive quality alerts by product line with root-cause attribution and scrap reduction recommendations — on a weekly cadence.

Connect your data warehouse on day one

Orion connects directly to Snowflake, BigQuery, Postgres, Databricks, and other data warehouses where your production, quality, and supply data already live. No new infrastructure. No replatforming. No engineering sprint.

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Orion integrates with Snowflake, BigQuery, Databricks, and other data warehouses
Orion delivers proactive manufacturing insights

Spot production risks before the shift ends

When OEE drops on a line, your plant manager gets the root-cause candidates — not a data pull request. Orion surfaces yield drops, quality escape precursors, and supplier anomalies automatically.

See how it works

Manufacturing FAQ

Common questions about Orion for manufacturing teams.

Orion federates across multiple data sources without requiring centralization. It connects directly to your warehouse (BigQuery, Snowflake, Databricks) while ingesting structured exports from ERP and MES systems, so your production, quality, and financial data are analyzed together.

Orion can be taught your specific OEE formula and shift structure via the Knowledge Base. Once defined, those calculations are pinned as consistent metrics so every report and ad-hoc question uses the same logic, regardless of who is asking.

Yes. You can configure scheduled notebooks to run at whatever cadence fits your operation — shift-level, daily, or weekly — and subscribe specific team members to receive notifications when anomalies are detected.

Orion is project-based, so each plant or business unit can have its own isolated project with its own data connections, metrics, and user permissions. Cross-plant comparisons can be built separately once individual projects are established.

That is precisely Orion's core use case. It runs root-cause analysis across your production, maintenance, and quality data in minutes, traces the anomaly to a specific line, shift, or supplier event, and outputs a formatted report your ops team can act on immediately.

See what your team looks like with an AI Analyst.