TL;DR: We’ve always served teams who love working with raw data. Now we’re giving Human Capitalist readers free beta access to workforce.ai: our new visual and conversational layer. Same foundational employment data, just way easier to use.
For almost five years, Live Data has been a key data source for companies with the talent and appetite to work directly with raw information. We’ve powered elite teams with real-time visibility into who works where, in what role, and when people move. It’s data in its rawest form, built for customers who don’t want finished answers but the ingredients to create their own.
But most companies don’t have data teams, and they’re not eager to spend the money to build one just to figure out why Dallas is suddenly a health-tech magnet or whether churn in SaaS sales leadership is a trend or a blip. For the vast majority of companies, turning employment data into true insight is both hard and expensive.
So Live Data Technologies is evolving, not by ditching our core data offering, but by making the journey from data to answers shorter, smoother, and a whole lot more fun.
Introducing Workforce.ai
Workforce.ai is an intelligence layer for the labor market. Part visual clarity, part conversational answers.
Step one: Visual Insights.
Forget pivot tables. Now you can see talent movements. The spikes, exits, odd anomalies, the emergent insights that used to be buried in the gigabytes of data we share with our data junkie clients daily. Visual context surfaces what matters and point you to the real questions, all built on the same raw data trusted by power users.
Step two: talk to the workforce.
Data is nice. Insights are nicer. But most of us just want answers.
So now you can get answers simply by asking. “Which engineers have left Google for startups this year?” “What’s the churn of Oracle’s sales team?” Talk to your workforce data like you’d talk to a colleague. Get answers instantly, inside Workforce.ai, Claude via MCP, or Slack. (ChatGPT coming soon.)
We bring the real-world workforce movement; foundation models bring broad context. Our MCP fuses them into sharper answers than either could deliver alone.
Why?
We’ve seen what happens when smart teams get their hands on real-time workforce data. Recruiters find talent before it hits the market. Investors spot momentum before earnings. VCs validate management teams before term sheets. Strategists see competitor moves as they happen. Across dozens of verticals, our clients have turned raw workforce signals into real advantage. Workforce.ai brings that same power to teams who don’t have months to build the infrastructure or budgets to staff a data science team.
But they do have questions that need answers.
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