Astronaut in a space suit leaning over a cluttered workshop workbench with tools and parts.

Re-engineer the manufacturing workflows where margin is won or lost.

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AI FOR MANUFACTURING

Sparq delivers AI and IIoT solutions for manufacturing built into the operational systems that determine your margins, from order management and production scheduling, to supply chain and equipment intelligence.

THE PROBLEMS WE SOLVE

Four places manufacturing margin disappears before reaching the P&L.

Engineering capacity consumed by order operations

Every hour spent on manual BOM validation or exception handling is an hour not advancing throughput or release velocity.

Shop floor intelligence that arrives too late

Signal exists across ERP, MES, and the production floor. The infrastructure to reach decision makers before the window closes is missing.

IIoT solutions wired for visibility, not action

Equipment data that feeds a dashboard but doesn’t connect to maintenance scheduling or production workflows is just expensive observation.

AI that works in pilot but fails on the line

Manufacturing AI stalls in production for the same reason nearly every time: the operational systems underneath weren’t built to run it.

Our Approach

Manufacturing solutions built into the systems that run your business.

Better margin. Faster cycles. Decisions made at the point of action, not after a reporting cycle. Sparq re-engineers the workflows where those outcomes are determined, embedding intelligence directly into operations, not on top of them.

Streamline back-office agility with AI for manufacturing

When AI is embedded directly into order validation and BOM processing, rather than applied as an audit step after the fact, the structural impact on cycle time and engineering capacity is significant.

  • AI-automated BOM validation and exception routing
  • Order-to-manufacturing workflow redesign with embedded decision logic
  • ERP and MES integration to eliminate manual hand-offs
  • Verify.IQ for data integrity before errors reach the floor

Higher uptime and fewer unplanned shutdowns with IIoT solutions

When IIoT solutions connect PLC signals, SCADA data, and operational context into a unified intelligence layer, maintenance decisions shift from reactive to predictive, and uptime improves accordingly.

  • IIoT integration: PLC, SCADA, and sensor signal consolidation
  • Predictive maintenance embedded into production scheduling
  • Real-time equipment health visibility tied to maintenance dispatch

Manufacturing data integration that drives operational decisions

Faster, more consistent operational decisions start with data that’s accessible at the point of action. Ask.IQ connects natural language queries to production, inventory, and supply chain data so operators and leaders get answers in seconds.

  • Unified data layer across ERP, MES, SCADA, and supply chain
  • Ask.IQ for natural language operational data access
  • AI-ready data infrastructure built for agentic orchestration readiness

Proven in Production

Measured outcomes tied to margin, throughput, and uptime.

95%

manual order processing time eliminated

91%

reduction in quote-to-order time

50%

reduction in operational scaling costs

Trusted by manufacturers across industrial equipment, materials, energy, and consumer goods.

Beyond the Build

Manual BOM validation across a 53-person engineering team was stretching release cycles to six weeks and constraining revenue realization. Sparq re-engineered the order-to-manufacturing workflow with AI validation embedded directly into BOM processing , automating exception routing and eliminating the manual review cycles consuming engineering capacity.

"I look at our relationship with Sparq as a great partnership. They did a phenomenal job understanding our situation and building a foundation for what was needed from the start."

Dave Schill, Chief Operations Officer at Tanis Brush

Faster time-to-impact. Less risk. Built on a hybrid engineering model.

Sparq standardizes the operational foundations that should never be custom and applies precision engineering where differentiation lives. Engineers embed directly inside client operations, working on real workflows, real constraints, and real production pressure.

Verify.IQ

Data integrity enforcement before errors cascade into rework.


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Ask.IQ

Natural language access to operational data at the point of decision.


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Pilot-to-Production

Cycles designed for manufacturing operating environments.


Read our POV: AI as Re-Engineering