TeamOhana is a technology company.
TeamOhana has raised $12.0M across 2 funding rounds.
TeamOhana has raised $12.0M in total across 2 funding rounds.
TeamOhana has raised $12.0M in total across 2 funding rounds.
TeamOhana's investors include Collide Capital, AngelList, Carya Venture Partners, DFJ, Founder Collective, General Catalyst, Greylock, Innovation Endeavors, Kleiner Perkins, Origin Ventures, Sierra Ventures, Spark Capital.
TeamOhana is an AI-powered headcount management platform that unifies Finance, HR, Talent, and hiring teams with real-time visibility into workforce data, enabling efficient hiring, compensation planning, scenario modeling, and organizational design.[2][3][4] It solves the chaos of siloed systems and spreadsheets by creating a single source of truth, connecting tools like HRIS, ATS, and FP&A for cross-functional collaboration and agentic AI that automates insights and actions.[1][2][4] Serving fast-scaling companies like Vercel, Scale, SeatGeek, and Zip, TeamOhana drives growth momentum through 300% customer growth since 2021, 6x ROI via headcount optimization, and 18+ hours saved monthly per user on forecasting.[4][5]
Founded in 2021 in San Francisco, the company has raised under $5 million and powers responsible scaling in a capital-constrained environment.[3][5]
TeamOhana emerged from founder Tushar Makhija's experience managing 30,000 employees and $6 billion in workforce spend, where he identified the gap between rigid systems of record like Workday (built for compliance) and the need for agile systems of action.[1][2] The idea sparked with a simple question: "Who are we hiring, how many, and when?" Early customers sought basic hiring trackers synced to real systems, replacing stale spreadsheets and Slack chaos; Tushar delivered a "Trojan horse" real-time tracker that evolved into a full platform.[1]
Pivotal moments include the 2023 launch of its Headcount Planning Platform, slashing spreadsheet tasks by 75% and onboarding customers like Multiverse and Very Good Security amid 300% growth, followed by an enterprise solution for dynamic org planning in a post-unlimited-capital era.[5]
TeamOhana rides the agentic AI and responsible growth trend, addressing enterprise software's shift from siloed, function-specific tools to unified operating systems amid capital constraints and fiscal discipline.[1][2][5] Timing is ideal post-2022 downturn: companies scaling (e.g., adding hundreds of employees yearly) need agility without chaos, as old systems like repurposed FP&A/HR tools fail in cross-functional, fast-moving environments.[4][5]
Market forces favoring it include AI's rise for workflow automation and demand for headcount ROI in efficiency-focused scaleups; it influences the ecosystem by standardizing "collaborative workforce intelligence," enabling better business performance for HR tech and fintech intersections.[2][3]
TeamOhana is positioned to dominate as the first AI operating system for headcount, evolving from visibility to full autonomy with microagents handling anomalies, optimizations, and implementations.[1][3] Next: Expanded enterprise adoption, deeper AI (e.g., predictive budgeting, org simulations), and potential acquisitions leveraging its unique dataset.[1][5] Trends like multimodal AI and zero-capital-growth mandates will amplify its edge, evolving its influence from scaleup essential to enterprise standard—uniting teams on headcount as the ultimate lever for confident scaling.[2][4]
TeamOhana has raised $12.0M across 2 funding rounds. Most recently, it raised $8.0M Venture Round in August 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Aug 1, 2024 | $8.0M Venture Round | Collide Capital | |
| Oct 1, 2022 | $4.0M Seed | AngelList, Carya Venture Partners, Collide Capital, DFJ, Founder Collective, General Catalyst, Greylock, Innovation Endeavors, Kleiner Perkins, Origin Ventures, Sierra Ventures, Spark Capital, Aaron Levie, Akshay Kothari, Anshu Sharma, Frederic Kerrest, Gokul Rajaram, Haley Daiber, Howie Liu, Jeremy Stoppelman, Jonathan Bush, Max Mullen, Neha Narkhede, Sam Blond |