Delpha, a startup building intelligent AI agents for enterprise data quality, has raised $2 million in seed funding to scale its solution for fixing bad data inside CRM and operational systems.

Led by Germain Bourgeois, Delpha is on a mission to eliminate one of the biggest silent killers in enterprise performance: inaccurate, incomplete, and decaying customer data. The round was backed by 50 Partners and high-profile angel investors, including former executives from Salesforce, IBM, and Microsoft.

With this new capital, Delpha aims to expand its AI agent infrastructure, improve integration across CRMs like Salesforce, and help more organizations boost efficiency and revenue simply by trusting the data they already own.

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What Delpha Does

Delpha acts like an AI data co-pilot for your CRM. Instead of relying on manual data cleaning, error-prone imports, or fragmented enrichment tools, Delpha deploys intelligent agents that:

• Detect inconsistencies, duplicates, and errors in customer data
  
• Suggest or automatically apply corrections based on contextual signals
  
• Monitor data health continuously in real time
  
• Integrate seamlessly into Salesforce and other major platforms
  

In short, Delpha ensures your CRM stays clean, accurate, and high-confidence—without adding work for your team.

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Why Data Quality Is a Billion-Dollar Problem

Enterprises spend millions on CRMs, customer engagement tools, and analytics. But according to Gartner, poor data quality costs businesses an average of $12.9 million annually due to wasted time, inaccurate reporting, and missed revenue.

Some more staggering stats:

• 70% of CRM data decays every year (Experian)
  
• 40% of sales reps say they don’t trust the data in their CRM (LinkedIn B2B Sales Report)
  
• Dirty data leads to 26% lower email engagement, 15% higher churn, and 23% slower deal cycles
  

It’s not just an annoyance—it’s a compounding operational liability. Delpha is stepping in to change that by automating what’s always been manual, tedious, and neglected.

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Why This Raise Matters

This seed round isn’t just about product development—it’s about validation. For years, data quality has been a known issue but rarely a startup’s central focus. Delpha is flipping that script by showing that if your data isn’t trustworthy, nothing else in your stack matters.

With investors from Salesforce, IBM, and Microsoft backing the round, the message is clear: intelligent data correction isn’t just useful—it’s becoming foundational to revenue operations and enterprise automation.

And here’s the deeper strategic insight: Delpha didn’t try to replace CRM. It didn’t try to build a better dashboard or a new BI layer. It went to the part of the stack no one wanted to touch but everyone depended on—the data itself.

Founders often race to build the next feature-rich solution. But what Delpha teaches is that building the thing that makes every other tool better is often more valuable than being the tool itself.

By focusing on cleaning, enriching, and maintaining data accuracy at the source, Delpha made itself essential to the rest of the workflow. Sales tools perform better. Marketing segments more effectively. Analytics make more sense. Automation stops failing silently.

If you're building in SaaS, RevOps, or AI infrastructure, don’t just chase outcomes. Enable outcomes by making the inputs reliable. Delpha didn’t scale by being louder—it scaled by making everyone else smarter.

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Market Outlook: AI-Powered Data Quality Is Scaling Fast

Delpha’s positioning is strategic—and timely. The global data quality tools market is expected to grow from $1.4 billion in 2023 to $3.8 billion by 2028, at a CAGR of over 22.4%, according to MarketsandMarkets.

Meanwhile:

• 75% of enterprises report data quality as the #1 obstacle to scaling automation and AI initiatives (Dresner Advisory)
  
• Salesforce’s 2024 State of Sales report found that companies with high CRM data confidence saw 26% faster pipeline velocity
  
• RevOps as a category is projected to surpass $20 billion by 2027, with data accuracy as a core pillar of operational maturity (Forrester)
  

As AI continues to power everything from sales enablement to marketing automation and forecasting, data integrity has become the make-or-break layer. Delpha is building the foundation.

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What’s Next for Delpha?

With $2M in new funding, Delpha plans to:

• Expand its AI agent capabilities across more platforms beyond Salesforce
  
• Add features for multi-language, multinational enterprise environments
  
• Build out data observability dashboards and health scoring systems
  
• Launch automated enrichment partnerships with 3rd-party data providers
  
• Hire across engineering, sales, and customer success to accelerate go-to-market
  

The startup is also developing a "Data Trust Index" to help customers measure the business impact of improved CRM accuracy—another step toward making data quality quantifiable, not just qualitative.