Findem Launches Studio: People Intelligence, Built for AI, That Returns Finished Work Teams Can Trust

Anyone can try an expert-built agent for free to see how it creates ready-to-use work grounded in transparent evidence and proven methodology.

REDWOOD CITY, CA, Sept. 22, 2026 — Findem, the people intelligence platform, today launched Findem Studio to turn complex people questions into finished work teams can review, defend, and act on. Studio combines Findem's proprietary people intelligence with expert-backed AI agents to deliver work such as succession plans, market maps, leadership benchmarks, hiring briefs, skills gap analyses, and org charts, giving teams a stronger starting point without having to create and verify the work from scratch. Studio agents can now be tried for free at https://studio.findem.ai/solutions.

Each Findem Studio agent brings together three requirements for trusted AI work: the right intelligence and context from Findem's expert-labeled people data, a proven methodology from a leading practitioner, and checks that connect conclusions to evidence. Talent teams can use that foundation to tackle complex people questions and produce enterprise-ready work.

For example, a talent leader can ask Studio to build a succession plan for a critical role. Rather than return a candidate list, the agent evaluates potential successors against expert-defined criteria and develops a plan explaining its recommendations. Teams can examine the evidence, challenge the conclusions and refine the plan before acting.

"The next phase of enterprise AI is about completing meaningful work, not simply helping people find information," said Findem co-founder and CEO Hari Kolam. "That requires more than a capable model. It requires trusted intelligence, deep expertise, and clear accountability for the result. People can now try Studio agents for free and experience what that next phase of AI looks like in practice."

Three ways to put Studio to work

  • Run an expert-backed agent: Choose a ready-to-use agent shaped by a leading practitioner's proven methodology and receive completed work with supporting evidence. Examples include agents that create succession plans, candidate intake documents, hiring briefs, CHRO and VP of Talent Acquisition benchmarks, market maps, and talent intelligence reports.
  • Build an agent around your expertise: Organizations can encode their own methodology, standards, and decision criteria into a Studio workflow. They provide the method, while Studio provides the people intelligence, execution, and validation.
  • Work in the AI environments you already use: Teams can use Studio through the Findem platform, access its agents from compatible AI environments such as Claude, ChatGPT, Microsoft Copilot, and Gemini, or use Findem MCP to bring Findem intelligence into their own agents, applications, and workflows.

What industry leaders are saying

"HR has moved from asking, 'Can AI do this?' to 'Can I trust AI?' This means people data must be accurate, current, and complete. Findem has done the work to structure and label people data and validate the data by practitioners who understand how people decisions are made. This combination turns Findem people data into information an enterprise can trust," said Josh Bersin, global industry analyst and CEO of The Josh Bersin Company.
"The Findem MCP agent we have in Camunda is doing extraordinary work, and people are impressed every time we show it to them," said Casey Firey, head of global talent operations at Camunda. "We wanted people intelligence available to the processes we already run, and that's what the Findem MCP gives us. We feel like we've only scratched the surface of the depth of insight we can get from Findem and then act on inside Camunda."
"For years, talent tech vendors have left data readiness and governance to the client, and that is not partnership. Findem took the opposite position with Studio," said Kyle Lagunas, founder and principal of Kyle & Co. "Every agent carries a point of view on how the work should be done, drawn from practitioners who have done it well, and a talent leader can read that point of view, agree with, it or change it. That is a very different starting place than a blank prompt. The final mile of AI is where the real differentiation happens, and this is one of the first I've seen built for it on purpose."

The foundation behind work teams can trust

Trust starts before an agent receives a prompt. Findem's AI Labeling Engine transforms fragmented people data into structured context, while Findem MCP gives Studio agents access to the 3D People Graph's 1.6 trillion expert-labeled data points across people, companies, and time. This puts the right people, companies, and evidence in front of the model from the start. Agents then apply a defined methodology created by a named practitioner or supplied by the organization. The resulting work shows the evidence, criteria, and rationale behind its conclusions. Agent outputs serve as recommendations for teams to review and refine, with people making the final decisions.

Try a Findem Studio Agent for Free

Findem Studio and Findem MCP are now available. Visit studio.findem.ai/solutions to try an agent for free.

About Findem

Findem is the AI infrastructure for people-centric work. Its People Intelligence platform turns fragmented people data into context that teams and their AI systems can reason over and act on. Powered by Findem's 3D People Graph, it connects trillions of data points across individuals, companies, and time. Expert labeling translates that data into consistent, evidence-backed signals about experience, capabilities, and relationships, designed to provide explainability at every step so teams can make confident decisions. Findem's agents and enterprise applications run on this foundation with human review built in, and partners can build on this infrastructure and bring the same intelligence into their own products. Named one of the most innovative companies by Fortune and Fast Company, Findem is trusted by industry leaders including FedEx, Intuit, RingCentral, and Emirates.

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