talent-intelligence
(24)
Draup knows a job title can hide a thousand jobs.
Inside the intelligence company that pulls work apart, task by task, to help enterprises decide whom to hire, what to teach and where to sell.
Evan Walden Built a Career Out of the Warm Introduction
After two exits and one near-death startup, the New York founder is still working on the same stubborn problem: how to turn a network of names into a useful human connection.
Aditya Viswanadha and the Long Apprenticeship of Seeing People Clearly
Before AI could read a career, someone had to teach the software what a career leaves out. Aditya Viswanadha's path from electronics student to Findem's founding engineering team is a quiet study in context, systems, and the useful limits of a resume.
The PR Firm That Walked Into the Boardroom
Baretz+Brunelle began by managing what the legal world said. Then it started advising on who to hire, what to buy, how to grow and where AI actually fits. The interesting part is not the expansion. It is how neatly the pieces feed one another.
Beamery wants you to rethink the job before you fill it
The London software company made its name helping recruiters build relationships. Now it is breaking jobs into tasks to help employers decide what to hire, teach or automate.
Navneet Singh Wants Enterprise AI to Remember the Humans
After two decades translating databases, networks and cybersecurity into business stories, Eightfold AI's CMO is applying an engineer's discipline to a deeply human question: can technology see what a person might become?
Nobody Agrees What a Skill Is. Lightcast Built the Dictionary for 6,000 Organizations.
The Idaho-born data company translates the unruly language of work into 34,000 skills, 1,800-plus occupations and decisions about what to teach, whom to hire and where to invest. Its real product is not a dashboard. It is agreement.
Eightfold AI Fired Its Working Product - Then Built a $2.1 Billion Talent Machine
The HR software company’s useful mistake was abandoning the thing customers wanted. Its return to skills-first matching - and a move upmarket - offers a sharper lesson than another AI success story.
SeekOut Raised $188 Million to Fix Recruiting. Then Recruiting Broke.
The Bellevue startup turned a failed messaging idea into a recruiting unicorn. After the hiring boom vanished, it cut deep and rebuilt around AI agents, human judgment, and a much cheaper door in.
Liv Anderman Traded the Courtroom for a Better Question: Who Gets Seen?
The former barrister now markets AI for hiring. Her unusual advantage is not a louder pitch, but a lawyer’s instinct for evidence, context and the human story hidden inside a record.
Betterworks Learned the Hard Way: Goals Don’t Manage People - Managers Do
The enterprise software company started by making goals visible. Then its customers taught it the harder lesson: a dashboard cannot coach a person, so Betterworks rebuilt performance management around the conversations between the numbers.
Arnab Bhattacharjee Has Spent a Career Finding the Signal
Before recruiting became an AI arms race, Arnab Bhattacharjee was building the machinery of web search. At Consider, he is applying the same patient obsession with relevance to a more human question: who should meet whom next?
Consider Turned the Messy Social Graph Into a Recruiting Machine VCs Can Actually Use
The small California software company found a useful wedge in a crowded HR-tech market: make the scattered jobs, candidates and connections around a venture portfolio behave like one searchable network.
Crelate Wants to Turn the Recruiting Database Into a Living Network
The Idaho software company spent years making the applicant-tracking system more flexible. Now it is betting that recruiters need a database that searches, refreshes and suggests - without taking the relationship out of their hands.
Joanna Riley Is Teaching AI to See the People a Résumé Misses
A rowing scholarship, an FBI post and a public-company flameout gave the Censia co-founder an unusual education in patterns, pressure and reinvention. Her next bet is that better data can help employers see potential before pedigree.
Korn Ferry
Korn Ferry began with one phone, one assistant and a Rolodex. Now the $2.9 billion firm wants its data, consultants and software inside every consequential decision a company makes about people.
Reejig
Reejig is an enterprise workforce-intelligence company that has repositioned itself as a Work Operating System for AI-powered work. Founded in Sydney in 2019 and now headquartered in New York, it maps every job, task and workflow inside an organisation into a structured Work Ontology and Work Context Graph, then uses independently audited Ethical AI to help companies redesign work, deploy AI agents, and measure the hours and value unlocked. It works with large enterprises such as Salesforce, Microsoft, Johnson & Johnson and Mastercard, and pursues a mission it calls Zero Wasted Potential.
Spire.AI
Spire.AI is an enterprise AI company whose full-stack SaaS platform is powered by a single, domain-intelligent Generative Skills AI engine. Built on a live knowledge graph with more than 14 million skill-adjacency edges, it helps large organizations acquire, deploy, reskill, mobilize and retain talent in a skills-first way. Founded in 2007 by Saurabh Jain and Shweta Jain and headquartered in Bengaluru, India, the company has evolved its research into OpenKnowra, a context-intelligence layer that pairs enterprise understanding with autonomous execution.
Censia
Censia is a San Francisco-based talent intelligence company that uses AI to turn billions of workforce data points into skills-based profiles of employees and candidates. Its platform enriches HR systems - most notably Workday - so enterprises can see hidden internal talent, plan their workforce around skills rather than job titles, and make faster, fairer hiring and mobility decisions. Founded in 2017 and led by CEO Joanna Riley, Censia sells to large enterprises and pitches itself on ethical, bias-aware AI applied to talent data.
Saurabh Jain
Saurabh Jain is the founder and CEO of Spire.AI, a domain-intelligent AI copilot for talent that uses a Large Graph Model for skills to help enterprises match, mobilize, and reskill their workforce. A three-decade veteran of enterprise software with earlier stops at Oracle, SAP, Yahoo, and Apigee, he now writes and speaks about skills-based organizations, ethical AI, and treating the CHRO and CFO as equal partners.
Siobhan Savage
Siobhan Savage is the CEO and co-founder of Reejig, a workforce intelligence and AI orchestration platform built to eliminate what she calls 'zero wasted potential' in the labor market. Sketched during maternity leave in 2018 and now used across 66 countries, Reejig became the first company to independently audit its talent AI for bias. Savage is a Forbes Cloud 100 Rising Star and a World Economic Forum Technology Pioneer, and previously spent almost two decades running workforce strategy on billion-dollar infrastructure programs including Sydney Metro, Melbourne Metro, and Roy Hill.
SupportFinity
SupportFinity is a San Francisco AI-native recruitment platform that replaces the tangle of separate sourcing, ATS, and assessment tools with one system. It searches a database of roughly 2.1-2.4 billion candidate profiles, auto-generates job descriptions, screens and assesses candidates with proprietary AI agents, benchmarks salaries across 180 countries, and offers a recruitment-as-a-service network of 2,000+ recruiters. The company says it cuts time-to-hire and cost by up to 90% and serves 700+ companies worldwide.
Findem
Findem is an AI-powered talent intelligence platform built on a proprietary Talent Data Cloud that enriches candidate profiles with 3D data (people, company, time). It automates sourcing, CRM, analytics and executive search for enterprise talent teams, with customers including RingCentral, Nutanix, and Intuitive Surgical.
Hariharan Kolam
Hariharan Kolam (Hari Kolam) is the co-founder and CEO of Findem, an AI-powered talent data platform headquartered in Redwood City, California. A serial entrepreneur with 20+ years building technology companies, he previously co-founded Instart Logic as CTO, accumulating over 50 technology patents. At Findem, Kolam is reimagining recruitment by replacing resume-based hiring with 3D candidate profiles that synthesize data from over 100,000 sources and 1.6 trillion data points - turning talent acquisition from a guessing game into a data science problem. Under his leadership, Findem raised a $51M Series C in October 2025, bringing total funding to $124M.