GenAI Vision Systems, Built for the Factory Floor.

Vision systems co-created with your factory experts within days, no AI skills required.
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AI Vision in Days, Not Months

Turn downtime, scrap, and recalls into measurable ROI with GenAI-powered vision that leverages your factory expertise.

Low Touch

Setup in hours, no line stoppage.

Expert-Friendly

Designed for factory teams, no AI skills needed.

High Value

High accuracy levels with continuous improvement.

Let GenAI See What Other AI Vision Systems Miss

Go beyond scripted vision systems with adaptive GenAI that detects, learns, and acts; uncovering defects, drifts, and hidden issues no traditional model can.
dataspan.ai comparison of GenAI accuracy comparing to previous models
dataspan.ai generate synthetic data illustration: the process of creating new conceptsdataspan.ai generate synthetic data illustration: the process of creating new conceptsdataspan.ai generate synthetic data illustration: the process of creating new concepts
dataspan.ai graph of accuracy comparison of previous models and fenAI data generationdataspan.ai graph of accuracy comparison of previous models and fenAI data generation
dataspan.ai graph of accuracy comparison of previous models and fenAI data generation

AI That Learns From the People Who Know the Line Best

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Up to 90%

reduction in error rate compared to other deep-learning methods.
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Years

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Days

dramatically shortening time to value.
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Millions

in potential cost savings on recalls, machine downtime, and manual inspection.
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"With dataspan.ai, we reduced defect detection errors by 87–92% across our product lines. The solution has saved us over $1M annually while eliminating production downtimes."

Quality Assurance Manager
Fortune 500 Medical Devices Manufacturer
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Case Studies

Leading medical devices manufacturer

Challenge

Rare stent defects required manual inspection, leading to production delays and recall risks.

Results

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92% error reduction
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Savings in machine downtime.

Solution

dataspan.ai simulated rare defect scenarios, enabling robust automated inspections.
Dataspan.ai case study illustration: leading medical devices manufacturer

Leading food & beverage producer

Challenge

Misaligned bags caused gripper misses and repeated stops. Case erector went inactive frequently with no clear root cause.

Results

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Earlier warnings and fewer stops, improved OEE, and a reusable alert playbook.
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Achieved without PLC integration.

Solution

No-touch cameras became virtual sensors (alignment, units per minute, active/inactive, feeder levels). An agentic co-pilot flagged a repeatable pre-fault pattern and created a real-time flap-angle alert with operator guidance.
Realtime monitoring by dataspan.ai

Leading train operator

Challenge

Only 50 fractured wheel images out of millions hindered model training, causing high false positives and derailment risks.

Results

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12% higher accuracy
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Millions in annual savings through enhanced predictive maintenance.

Solution

dataspan.ai generated 5,000 high-variance GenAI images in just a few days, optimizing automated visual inspection model accuracy under real-world conditions.
Dataspan.ai case study illustration: leading train operator.

Fortune 500 battery manufacturer

Challenge

Manual CT scan inspections became costly and error-prone after a major battery recall.

Results

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Significant cost savings and uninterrupted production.

Solution

dataspan.ai augmented the CT scan datasets with GenAI data, improving model reliability and recall prevention.
Dataspan.ai case study illustration: fortune 500 battery manufacturer: battery defects generated

Fortune 500 PCB manufacturer

Challenge

High variability overwhelmed defect detection models, risking delays and costly manual checks.

Results

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87% error reduction

Solution

Dataspan.ai produced diverse GenAI defect data, boosting model performance.
Dataspan.ai case study illustration: fortune 500 PCB manufacturer: PCB defects generated

GenAI-Powered Visual, Built for the Factory Floor

Upskill your factory experts with AI that sees beyond defects — delivering higher accuracy and actionable insights across quality, maintenance, and operations.
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