Ema Raises $77 Million to Expand AI Employees for HR and IT
Ema has raised $77 million in a Series B round reported September 23, 2026. The round was led by Creaegis, a venture firm based in Bengaluru, with Accel, Section 32 and Prosus increasing their stakes. Total funding now stands at $140 million. TechCrunch
The round was all primary equity, meaning new cash into the company. There was no debt and no secondary sale of existing shares. Valuation more than quadrupled since the last round in 2024. Ema was founded in 2023 by Surojit Chatterjee, a former Google and Coinbase executive, and Souvik Sen, a former Okta executive.
The company reports more than 50 active enterprise deals, over 1 million active enterprise users, and more than 5 million actions and queries handled to date. Named customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro and Microsoft. Revenue grew 50-fold over the past two years. Bookings have passed $150 million, which the company defines as the total value of multiyear contracts including two- and three-year deals. TechCrunch
The broader context here is that bookings are contracted value, not recognized annual recurring revenue. Multiyear structures are common when deployment involves integration work, governance review and phased rollout across business units.
Ema is model-agnostic, meaning it is not locked to a single AI model. It can draw on more than 150 models, including frontier models, the most capable commercial systems, and open-source models. The product is packaged as AI Employees for functions including recruiting, onboarding, benefits and performance. It is delivered through 250+ prebuilt integrations and 1,000+ actions, with access via Microsoft Teams, Slack and voice interfaces. TechCrunch
Its routing layer is called EmaFusion. According to company materials, it combines 100+ models in real time for each task, with Ema stating it delivers up to 20x lower cost than the best single model. On September 1, the company launched its HR, IT and Finance Hub, extending that agent framework into shared corporate functions. Ema also took first place for Best Services-as-Software Transformation at the HFS Services-as-Software Awards 2026.
Looking at the deployment pattern, capital structure and footprint stand out. A primary-only Series B with insiders adding exposure keeps cash on the balance sheet for hiring and inference and support capacity rather than providing liquidity. Fifty deals with one million users points to a small number of large deployments rather than broad long-tail adoption, through central contracts followed by seat expansion.
In my view, the model count matters less than the operating idea behind it. Enterprises have learned that pinning workflows to one foundation model leaves exposure to price changes, capability regressions and policy shifts. A router that selects across commercial and open models per task trades simplicity for choice, with cost and response time tuned alongside accuracy. Whether the 20x claim holds in production depends on task mix, cache hit rates and evaluation rigor, which are hard to verify from outside.
The practical shift for buyers here is in what is being sold. Multiyear bookings over $150 million with prebuilt connectors and role-specific agents point to outcomes and automation coverage rather than licenses alone. For CIOs, that shifts diligence from feature checklists to exception handling, audit trails, identity controls and reversibility when an agent acts across systems of record. Ema's Okta and large-platform lineage is relevant here, though execution will matter more than pedigree.
Looking ahead, what this could enable is experimentation in functions that long resisted self-service software. Recruiting, onboarding and benefits administration are process-heavy and integration-bound. They fit agents that can read policy, pull state from multiple systems and draft the next step, provided humans keep approval authority where it counts.
