Ema is the Universal Agentic Control Plane for the enterprise. We give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. Not point solutions. Not co-pilots. Real autonomous AI Employees that learn your business, connect to 200+ enterprise systems, and act. Our platform is built on three pillars: • EmaFusion™ — a patented AI fusion layer that blends 100+ LLMs to optimise for accuracy, cost, and latency on every query, without vendor lock-in. • GWE™ (Generative Workflow Engine) — the orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. • Enterprise Context Graph — deep, permissioned memory across your org's data, systems, and processes so every AI Employee knows your business from Day One. Ema is the only agentic AI platform that supports on-premises and air-gapped deployment, certified ISO 42001 (the world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. Trusted by global enterprises across healthcare, financial services, legal, and technology—with backing from Accel, Section 32, and a strategic investment from KPMG. The future of work isn't humans replaced by AI. It's humans multiplied by AI Employees.
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Ema reposted this
Gartner flagged this two days ago: 50% of enterprises without a people-centric AI strategy will lose their top talent by 2027. That is not a talent problem. It is an HR transformation problem. HR has five core functions. AI employees are beginning to reshape all five, not incrementally, but structurally. The data on where it's happening fastest may surprise you. Swipe through. Ema
Hiring one great candidate should not require 10+ tools to agree with each other. But that is what recruiting has become. Sourcing in one system. Outreach in another. Screening somewhere else. Candidate notes buried across tools. ATS updates lagging behind. Ema Recruiter is built to change that. Ema replaces your fragmented recruiting stack with an AI Employee that takes you from job brief to day one. 1B+ profiles. Automated outreach. AI-led pre-screening. One candidate pipeline. One scorecard. Built to help recruiting teams search deeper, move faster, and cut time-to-hire by up to 70%. 10+ tools. 10+ logins. 10+ invoices. Or just Ema. Ema Recruiter is built to help you outrecruit everyone. Launching soon!
AI agents are no longer sitting in innovation labs. They are entering the workforce as digital teammates, taking action, making decisions, and working alongside employees. In a new episode of KPMG’s You Can with AI podcast, our CEO and Co-founder Surojit Chatterjee joins host Nathaniel Whittemore and Edwige Sacco, Head of Workforce Innovation, KPMG to unpack what agentic business transformation looks like inside the enterprise. The conversation goes beyond the hype and gets into the real operating questions leaders are facing: → What does it mean to onboard an AI teammate, not just deploy another tool? → How should enterprises redesign work when AI can reason, act, and collaborate? → How do leaders help teams adapt without increasing cognitive load? → Why does AI transformation require executives to learn alongside their workforce? This is not a future-of-work prediction. It is a practical look at the shift already underway, where AI moves from assistance to execution and enterprises rethink how work gets done. For leaders building the next operating model for work, this is a conversation worth listening to. Full episode link in comments. KPMG US
Ema brought enterprise leaders together, alongside PwC, for "Your Next Great Hire: How Agentic AI is Rewriting Talent Acquisition." An inside look at how AI Employees are already reshaping sourcing, screening, onboarding and extension at Fortune 500 scale. Agentic AI isn't a roadmap item. It's rewriting how TA functions operate right now, and the companies treating it as a workforce shift, not a tooling upgrade, are pulling ahead. More sessions ahead. Come talk to Ema if you're rethinking what hiring looks like in the age of AI Employees. Rafael Guilherme (PwC), Surendra Phatak (PwC UK), Leah Knapton (PwC), and Deep Janjua, CPHR Ravnick Singh (PwC) James Johnson Swati Trehan Soumya Raja
Ema reposted this
We're moving from AI possibility to AI accountability. Founders and investors across our ecosystem keep landing on the same five signals for what separates promising demos from enterprise-ready AI. Ran Wei Baker brings together Surojit Chatterjee Founder and CEO of Ema, Sravan Kumar Rekandar Co-founder and CTO of Drishya AI Labs, and Cheryl Cheng, Managing Partner M12, Microsoft's Venture Fund to unpack what it actually takes to build AI real enterprises can rely on. Read the full breakdown here 🔗 https://msft.it/6043vucXW
What happens when tokens replace hours as the unit of enterprise work? The shift from labor-based delivery to AI-led execution is not theoretical. It is happening now. And it demands a new economic model where cost, margin, scalability, and control are measured in tokens, not headcount. Surojit Chatterjee, CEO & Co-founder of Ema, joins a panel at The HFS One Council Summit to discuss exactly this: From rate cards to tokens: The new economics of agentic AI The panel will explore where tokenomics creates real enterprise value, where it introduces new risk, and what leaders need to do now to avoid swapping one opaque cost model for another. Joining Surojit on stage: Umang Nagpal, JPMorganChase, Ashok Panduranga, U.S. Bank, Cliff Justice, KPMG, Bijit Ghosh, Kubex Moderated by David Cushman, HFS Research. May 13 | 4:50 PM to 5:25 PM ET | Main Conference Room Apella, New York If you are at The HFS One Council Summit, do not miss this one. This is where the next economic model for enterprise AI gets real.
Ema reposted this
AI agents are moving from experimental tools to digital teammates that can take action, make decisions, and collaborate directly with employees. In the latest episode of KPMG’s You can with AI podcast, host Nathaniel Whittemore is joined by Edwige Sacco, KPMG Head of Workforce Innovation, and Surojit Chatterjee, Founder and CEO of Ema, to discuss what this shift, covering the rise of AI agents in the enterprise and what it means for the future of work. The conversation provides a practical look at agentic business transformation, covering: -𝗡𝗲𝘄 𝘄𝗮𝘆𝘀 𝗼𝗳 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝘄𝗼𝗿𝗸:The operational difference between deploying standard software and actively onboarding an AI teammate. -𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝘄𝗲𝗹𝗹-𝗯𝗲𝗶𝗻𝗴: How to navigate shifting skill requirements and address potential cognitive exhaustion from employees in adapting to new ways of working. -𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮: Why executives must learn alongside their teams and actively engage in AI implementation to build a resilient, future-ready culture. 🎧 Listen here: https://lnkd.in/euViEJiV
Enterprise AI is moving into workflows where trust cannot be treated as a promise. It has to be proven. Ema is now PCI DSS 4.0.1 compliant, the latest and most rigorous version of the global standard for cardholder data security. For enterprises deploying AI Employees across finance, billing, customer operations, and other sensitive workflows, this means the controls protecting cardholder data across Ema’s platform have been independently assessed across network security, encryption, access management, vulnerability management, logging, monitoring, secure development, and governance. It also strengthens the unified compliance foundation our customers already rely on, alongside SOC 2 Type II, ISO 27001, ISO 27701, ISO 27017, ISO 42001, GDPR, HIPAA, NIST CSF 2.0, and UKCE+. What this means for our customers: • Faster vendor approval in regulated industries • Reduced supply chain risk • Greater confidence deploying AI Employees across sensitive financial workflows • Audit-ready evidence through Ema’s Trust Center At Ema, compliance is not a checkbox. It is part of the product architecture. As enterprises move from AI pilots to production-scale AI Employees, security, governance, and trust become non-negotiable. PCI DSS 4.0.1 is another step in building agentic AI that is ready for real enterprise work. Read the blog to learn more. Link in comments.
We are now LIVE—decoding how Agentic AI is transforming recruiting at companies leading the agentic transformation. Don't miss this! Prasun Shah Jo-Ann Feely Matthew Rodger Swati Trehan Krishna Sai Charan
Most of what a recruiter does every day has nothing to do with recruiting. Scheduling interviews. Sending follow-ups. Chasing hiring managers for feedback. Updating the ATS. Writing job descriptions. Coordinating across time zones. It's coordination work. And it's eating the most valuable hours in the talent function. Agentic AI doesn't just speed this up. It takes it off the plate entirely. So recruiters can do what they're actually hired to do: build relationships, assess potential, and make better decisions about people. We're hosting a LinkedIn Live with senior leaders from AMS, PwC, Everest Group, and Ema to get specific about what this looks like in practice. Get real talk from practitioners and analysts about: → Which recruiting workflows AI is owning end-to-end right now → Where human judgment is non-negotiable — and why → What CHROs and TA leaders need to put in place before AI can scale → How the recruiter role is evolving — and what skills will define the next generation of TA professionals If you lead talent acquisition, HR transformation, or recruiting operations — this one is worth an hour of your time. 📍 How Agentic AI is Changing Recruiting 📅 11 May 2026 | 2 pm BST | LinkedIn Live 🔗 Register below. Tag a recruiting or HR leader who should be in this conversation! Krishna Sai Charan Prasun Shah Jo-Ann Feely Matthew Rodger Swati Trehan
Most of what a recruiter does every day has nothing to do with recruiting. Scheduling interviews. Sending follow-ups. Chasing hiring managers for feedback. Updating the ATS. Writing job descriptions. Coordinating across time zones. It's coordination work. And it's eating the most valuable hours in the talent function. Agentic AI doesn't just speed this up. It takes it off the plate entirely. So recruiters can do what they're actually hired to do: build relationships, assess potential, and make better decisions about people. We're hosting a LinkedIn Live with senior leaders from AMS, PwC, Everest Group, and Ema to get specific about what this looks like in practice. Get real talk from practitioners and analysts about: → Which recruiting workflows AI is owning end-to-end right now → Where human judgment is non-negotiable — and why → What CHROs and TA leaders need to put in place before AI can scale → How the recruiter role is evolving — and what skills will define the next generation of TA professionals If you lead talent acquisition, HR transformation, or recruiting operations — this one is worth an hour of your time. 📍 How Agentic AI is Changing Recruiting 📅 11 May 2026 | 2 pm BST | LinkedIn Live 🔗 Register below. Tag a recruiting or HR leader who should be in this conversation! Krishna Sai Charan Prasun Shah Jo-Ann Feely Matthew Rodger Swati Trehan