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SalesNow is going after a problem most AI teams quietly struggle with. Bad data, stale data, or just not enough data to actually run sales workflows.
They’ve launched an MCP server that connects their database of 14 million companies directly into tools like Claude and Cursor. No exports, no manual scraping. You ask in plain language; the AI pulls live company data in real time.
This matters because AI is shifting from chat to execution. Sales agents are now expected to build lead lists, prep meetings, and track signals like hiring or funding. The problem is, most AI models are trained on old data. Months old, sometimes worse. That’s where hallucinations creep in and where decisions go wrong.
Also Read: Fortience launches data-led procurement support service
SalesNow’s pitch is simple. Fix the data layer. Real-time updates, deeper fields like executive info and hiring trends, and direct linkage to actual company records. So instead of guessing, AI agents operate on something closer to ground truth.
Zoom out and this is where things are heading. The AI race is quietly becoming a data infrastructure race. Whoever controls fresh, reliable data ends up controlling how useful these AI agents actually are.
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