Censia is founded
Joanna Riley, Tim Johnson, and Bruce Cooper launch a talent intelligence company built on AI and skills data.
The company that reads your workforce
An AI talent intelligence company turning billions of scattered data points into skills-based profiles - and dropping them straight inside Workday.
The mark. Censia's teal wordmark - a talent-intelligence company that would rather your org chart run on skills than on job titles nobody quite believes anymore.
Here is a fact about hiring that everyone knows and almost no one acts on: the person best suited for an open role is very often already on the payroll, sitting two floors up, doing something adjacent, and completely invisible to the recruiter posting the job externally. The reason they're invisible is boring and structural. Their skills live in their head, in a manager's memory, in a project no HR system ever recorded. So companies do the expensive thing - they go outside, run a search, pay a fee, and hire a stranger to do work someone internal could already do.
Censia's entire business is a bet that this is a data problem, not a people problem. Founded in San Francisco in 2017 by Joanna Riley, Tim Johnson, and Bruce Cooper, the company builds what it calls a talent intelligence platform: software that ingests billions of data points from more than 2,000 sources and assembles them into skills-based profiles of employees and candidates. The pitch is that if you can see what people can actually do - not what their title says, not what their last job was called - you can make faster, better, and, Censia is careful to add, fairer decisions about who to hire, promote, and move.
The phrase "fairer" is doing real work here, and it's worth pausing on. Plenty of AI-in-HR companies say the word "ethical" the way restaurants say "artisanal," which is to say reflexively and without much cost. Censia's version has a specific mechanism behind it. The argument goes: hiring bias tends to enter at the search stage, when a human or a lazy algorithm pattern-matches on pedigree - the right school, the right company, the right title. If you instead infer skills objectively from a wide base of data and benchmark people against the whole market, you surface qualified candidates that biased screening would have skipped. Whether it fully works is an empirical question, but at least it's a claim about how the software is built rather than a mood.
"Censia was created to put an end to hiring and workplace bias by enabling companies to use ethical AI and clean, comprehensive talent data to make better decisions."
- Censia, on why it existsThe other thing to understand about Censia is where it decided to live. Rather than building yet another dashboard that HR teams have to remember to log into - a graveyard business model, since every new login is a reason not to adopt you - Censia planted itself inside Workday, the human-capital software that giant enterprises already run their people on. It became a Workday Software Connect Partner in 2021, earned Workday Certified Integration in 2025, shipped its Employee Intelligence product on the Workday Marketplace, and was named to the new Workday Agent Partner Network. The strategy is unglamorous and correct: meet the customer inside the tool they never leave.
A unified skills data layer combining Employee Profile Enrichment and Job Profile Enrichment - it strengthens workforce data and modernizes the job frameworks companies plan around.
Certified agents living inside Workday, including a Job Profile Enrichment Assistant that shows leaders the reasoning behind every AI-driven update rather than asking them to trust a black box.
Surfaces competitive talent benchmarks, highlights organizational blind spots, and recommends talent actions in near real time - workforce strategy delivered as an agent.
AI-driven executive search and assessment that pairs retained-search expertise with data-driven talent mapping for senior and succession hiring.
Censia's co-founder and CEO, Joanna Riley, has spent years making a fairly specific case: that the machinery of hiring runs on gut feel and pattern-matching, and that clean data plus transparent AI is the way to fix it. It's the kind of problem that's old enough that most people have stopped questioning it, which is usually where the leverage in a startup hides.
The recognition has followed. Riley was named to the Forbes Next 1000 list, won a 2021 Silver Stevie Award for Female Entrepreneur of the Year, contributes to the World Economic Forum on the future of work, and in 2023 was honored by Goldman Sachs as one of its Most Exceptional Entrepreneurs. Around her sits a notably heavyweight bench - president Greg Tomb was previously president of Zoom and held senior roles at Google Workspace and SAP - which tells you something about how seriously the enterprise-software world takes the skills-data thesis.
"Named to the Forbes Next 1000 and honored by Goldman Sachs as one of the most exceptional entrepreneurs of 2023."
"Within weeks of deployment, Censia enriched a Fortune 50 telecom's workforce with ten times more validated and inferred skills."
Censia's cap table has a tell. When Workday Ventures - the venture arm of the very platform Censia plugs into - writes checks across your rounds, it's less a financial bet than an ecosystem one. The platform is choosing its AI partners for the next decade of enterprise work, and it picked Censia.
Third-party estimates place valuation near $137M. Totals vary by source and are not officially confirmed.
Joanna Riley, Tim Johnson, and Bruce Cooper launch a talent intelligence company built on AI and skills data.
A Series A led by Marbruck Investments; Censia becomes a Workday Software Connect Partner.
CEO Joanna Riley is named among Goldman Sachs' Most Exceptional Entrepreneurs at its Builders and Innovators Summit.
A September raise with Workday Ventures participating funds the AI-agent roadmap.
Workday Certified Integration, Employee Intelligence on the Marketplace, and a spot in the Workday Agent Partner Network.
Censia sells to large enterprises - the HR, talent acquisition, and workforce-planning teams inside them - and it competes in a crowded field that includes Eightfold AI, Gloat, Beamery, SeekOut, and Workday's own native skills tooling. Its differentiator is less any single feature and more its position: certified inside the system of record, transparent about its AI's reasoning, and unusually security-conscious for an HR startup, with ISO 27001 certification more common among infrastructure vendors than talent tools.
What can a company actually do with it? Find hidden internal talent before posting a role externally. Plan a workforce around skills instead of titles. Benchmark a team against the market before making a hire. Modernize stale job descriptions with AI that explains its edits. And run an executive search backed by data rather than a Rolodex. The reference case customers point to is a Fortune 50 telecom that enabled roughly 75,000 employees with AI-driven skills intelligence and, within weeks, saw ten times more validated skills flow into its workforce data.
Interviews with the founder and product demos - search these to go deeper on the skills-intelligence thesis.