Merit Data and Technology Ltd

At Merit, we build precision automotive intelligence that powers decisions across the entire vehicle lifecycle. We make sure you're not just keeping pace with the market. You are ahead of it. Curious what that looks like? meritdata-tech.com/automotive-sec…

The automotive market doesn't wait. Pricing shifts overnight. New trims drop without warning. EV regulations vary by region. OEM strategies pivot faster than most teams can track. meritdata-tech.com/automotive-sec… #AutomotiveData #AutomotiveIntelligence #DataStrategy #EVs #OEM #MeritData

Your competitor bought a contact list. Thousands of bounce risks, outdated contacts & shared audiences. Your campaign worked differently. Every contact researched live and verified before outreach. That’s Merit’s Zero Database approach. meritdata-tech.com/marketing-data #B2BMarketing

#DataEngineering #IndustrialAI #ManufacturingTech The specific data failure modes that kill predictive maintenance programmes. What unified asset intelligence actually looks like in a production environment. And a practical sequence for getting there without stopping the business

Unplanned downtime in automotive assembly costs over £100,000 per hour. And yet most #predictivemaintenance programmes fail to prevent it. We have written a blog that breaks down why this keeps happening. meritdata-tech.com/resources-post… #AutomotiveManufacturing #DataEngineering

The B2B Marketer's Guide to Marketing-Ready Data covers: Why big #databases are now a liability The 3 hidden costs draining your campaigns A 7-question self-assessment for your data stack A 5-stage email check for comprehensive bounce protection meritdata-tech.com/resources-post… #DemandGen

When did you last verify your contact #data against live sources? If your answer is "more than 3 months ago", your data is decaying faster than it is being refreshed. We put together a practical guide for leaders who want to fix this. meritdata-tech.com/resources-post… #B2BMarketing

If your organisation is navigating this challenge, or you are advising those who are, it is well worth a read. #AIStrategy #DataStrategy meritdata-tech.com/resources-post…

In the vast majority of cases, it is the data engineering infrastructure underneath. Fragmented pipelines, unstructured silos, absent governance, and architectures that were built for reporting, not real-time intelligence.

Enterprise leaders keep expressing the same frustration: 'The pilots look promising. But nothing is making it to production.' It's not the model. It's the data engineering infrastructure underneath. #EnterpriseAI #DataEngineering #AIStrategy #DataStrategy meritdata-tech.com/resources-post…

SKU-level pricing and promotion tracking. Share of shelf across retailers. Category seasonality and demand signals. Competitor assortment monitoring. Human-verified, updated daily.meritdata-tech.com/retail-sector #RetailIntelligence #RetailStrategy #PricingIntelligence #CategoryManagement

Stale snapshots, manually compiled reports, and data that is weeks old by the time it reaches a decision are not a strategy problem. They are a data infrastructure problem. The executives are buying structured, live, analytics-ready intelligence that moves with the market.

Retail coverage used to scale one way: more people, more cost, more complexity. The retailers and brands pulling ahead in 2026 are doing it differently.

What has your experience been - Are your AI initiatives moving the needle, or still stuck in pilot purgatory? #Innovation #LLM #GenAI inc.com/fast-company-2…

The reason so many enterprise #AI initiatives are failing is not the technology. It is the assumption. Companies run on memory, context, and constraints. LLMs run on language. Those are very different things. #AI #EnterpriseAI #AILeadership #GenerativeAI inc.com/fast-company-2…

@Meritdatatech has been recognised as the Bronze Globee Winner & Best of Category for Enterprise Level AI Solutions at the 2026 @GlobeeAwards for AI. To our team, our partners, and every client who trusted us with a problem worth solving: this is yours.

This is the problem KIAA is built to solve. Not by replacing CAD or BIM tooling. By sitting above it, lifting raw geometric and textual artefacts into normalised, queryable knowledge layers that AI and analytics can reliably consume. meritdata-tech.com/resources-post…

Engineering organisations are not short of data. They are short of data they can actually use. None of it is queryable or connected. None of it is visible to the AI that could put it to work. The problem is semantic debt. meritdata-tech.com/resources-post… #EngineeringIntelligence #CAD #BIM

#ConstructionData #DataAutomation #ConstructionIntelligence #DataEngineering #AEC #MeritDataTech meritdata-tech.com/case-studies/c…

The results: 50% reduction in cost; 40% richer data collected; 30% broader coverage; 70% fewer manual checks; Full delivery within 48 hours The client got more complete, more consistent intelligence, at half the cost, across a wider footprint than before. meritdata-tech.com/case-studies/c…

475 councils. 250 data points per project. Every council with its own format. For a leading UK construction intelligence provider, that was not a data problem. It was a scale problem. meritdata-tech.com/case-studies/c…