The product
Solnix AI Automotive Suite
Line flow, vision QC and warranty signals tied to the same VINs.
One dashboard for every automotive department. Each department runs its own team of agents on the systems you already use. They handle the routine steps, stop at a checkpoint for the decisions your people own, and record every step for audit.
In the field
Drone ops and AI CAD in the Automotive suite
Inside the suite
Pick a department to see how its agents work
Line Flow Orchestrator
Watches every station against takt, predicts stoppages and re-sequences vehicles before the line stops.
- 1Starts whenStation cycle exceeds takt
- 2AgentAndon Agent
- 3AgentTakt Agent
- 4AgentSequence Agent
- 5AgentCrew Agent
- 6CheckpointShift supervisor approves
- 7ThenSystems are updated and the run is saved to the audit trail
Questions about the Automotive suite
What is the Solnix AI Automotive Suite?
The Solnix AI Automotive Suite is an agent dashboard for automotive with 8 department dashboards and 32 specialised AI agents. Line, quality and warranty agents that keep JPH on plan and defects off the road.
Which departments does the Automotive suite cover?
Line Flow Orchestrator, Paint & Weld Vision QC, PPAP & Containment, Warranty Early Warning, OTA & Fleet Health, Type Approval Tracker, Dealer Performance & Stock and Parts Availability Planner. Each runs its own agent workflow with a human checkpoint and an audit trail.
What does the Line Flow Orchestrator workflow do?
Watches every station against takt, predicts stoppages and re-sequences vehicles before the line stops. It starts when station cycle exceeds takt, runs 4 agents (Andon Agent, Takt Agent, Sequence Agent, Crew Agent) and stops for the shift supervisor to approve.
Does the Automotive suite include drone inspection?
Yes. Drone ops in the Automotive suite runs missions such as finished-vehicle yard · lot C: every parked vehicle counted; moving cars and people followed. It also includes AI CAD, for example eV skateboard chassis.
How can I try the Automotive suite?
Open https://enterprise.solnixmedia.com/automotive and verify a work email for a 14-day guided tour on sample automotive data.
The Challenge
Production complexity and supply chain risk at global scale
EV transition, just-in-time pressures, and quality demands are compounding across every OEM and Tier 1.
Quality Escape Costs
A single quality escape reaching the field costs OEMs an average of $8,000 per vehicle in warranty costs. Manual visual inspection misses 15–30% of subtle defects at production speeds.
Unplanned Downtime
A single hour of production line downtime costs a major OEM $1.3M. Predictive maintenance on complex robotic assembly lines remains largely reactive, driven by scheduled intervals rather than actual equipment condition.
Supply Chain Concentration Risk
The semiconductor shortage of 2021–2022 cost the automotive industry $210B in lost production. OEMs lack real-time visibility into Tier 2 and Tier 3 supplier risk concentrations.
EV Battery Quality
Battery cell defects that escape production can cause field failures, thermal events, and recalls. Existing testing methodologies lack the resolution to catch subtle electrochemical anomalies at production volumes.
Education AI Solutions
AI systems across the automotive value chain
Vision-Based Quality Control
Computer vision systems that inspect weld seams, painted surfaces, and assembly components at production speed, detecting defects invisible to human inspectors with 94%+ accuracy.
Predictive Maintenance
ML systems trained on PLC data, vibration sensors, and thermal imaging to predict equipment failure 72+ hours in advance, enabling planned maintenance that eliminates unplanned stops.
Warranty Analytics
NLP and pattern recognition across warranty claims, dealer reports, and telematics data to identify emerging field failures before they reach recall thresholds.
Supply Chain Risk Intelligence
AI monitoring of Tier 2 and Tier 3 supplier financial health, geopolitical events, and logistics disruptions, with automated alternative sourcing recommendations.
Battery Cell Inspection
AI-enhanced CT scan analysis and electrochemical signature analysis to identify cell anomalies at production speed, reducing battery field failure rates.
Digital Twin Optimization
AI systems that run simulations on digital twins of production lines to optimize throughput, identify bottlenecks, and test process changes before implementation.
End-to-End Implementation
End-to-end AI implementation for automotive
Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every automotive engagement, tailored to your systems, data, and regulatory environment.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Methodology
How Solnix Builds for Automotive
01, Production Line Assessment
01, Production Line Assessment
We map your existing sensor infrastructure, PLC systems, and quality inspection points, identifying the highest-impact AI integration opportunities.
02, Edge AI Architecture
02, Edge AI Architecture
Quality inspection AI runs at the edge, on-premise, with sub-100ms inference latency. No production data leaves the factory floor.
03, MES & SCADA Integration
03, MES & SCADA Integration
We integrate with SAP MES, Siemens MindSphere, PTC ThingWorx, and custom SCADA systems. AI insights surface within existing operator HMIs.
04, Line Validation & Calibration
04, Line Validation & Calibration
Vision systems are calibrated and validated against certified defect libraries. We establish false positive/negative thresholds in collaboration with quality engineers before go-live.
05, Continuous Improvement Loop
05, Continuous Improvement Loop
Production AI systems include active learning pipelines, new defect types encountered in production are flagged, validated by quality engineers, and fed back to retrain models automatically.
FAQ
Questions from plant managers, quality leads, and CTOs
Get Started
Quality and Uptime At Production Scale
From vision QC to predictive maintenance. Solnix builds automotive AI that compounds into competitive advantage across every plant and every model year.
Request an Automotive AI Assessment →