Surojit Chatterjee is the founder and CEO of Ema. Beforehand, he guided Coinbase by way of a profitable 2021 IPO as its Chief Product Officer and scaled Google Cellular Adverts and Google Purchasing into multi billion greenback companies because the VP and Head of Product. Surojit holds 40 US patents and has an MBA from MIT, MS in Pc Science from SUNY at Buffalo, and B. Tech from IIT Kharagpur.
Ema is a common AI worker, seamlessly built-in into your group’s present IT infrastructure. She’s designed to reinforce productiveness, streamline processes, and empower your groups.
Are you able to elaborate on the imaginative and prescient behind Ema and what impressed you to create a common AI worker?
The objective for Ema is obvious and daring: “remodel enterprises by constructing a common AI worker.” This imaginative and prescient stems from our perception that AI can increase human capabilities somewhat than change staff completely. Our Common AI Worker is designed to automate mundane, repetitive duties, liberating up human workers to give attention to extra strategic and invaluable work. We do that by way of Ema’s revolutionary agentic AI system, which might carry out a variety of advanced duties with a set of AI brokers (referred to as Ema’s Personas), bettering effectivity, and boosting productiveness throughout numerous organizations.
Each you and your co-founder have spectacular backgrounds at main tech corporations. How has your previous expertise influenced the event and technique of Ema?
Over the past 20 years, I’ve labored at iconic corporations like Google, Coinbase, Oracle and Flipkart. And at each place, I questioned “Why will we rent the neatest individuals and provides them jobs which might be so mundane?.” That is why we’re constructing Ema.
Previous to co-founding Ema, I used to be the chief product officer of Coinbase and Flipkart and the worldwide head of product for cell adverts at Google. These experiences deepened my technical information throughout engineering, machine studying, and adtech. These roles allowed me to establish inefficiencies within the methods we work and the way to resolve advanced enterprise issues.
Ema’s co-founder and head of engineering, Souvik Sen, was beforehand the VP of engineering at Okta the place he oversaw information, machine studying, and gadgets. Earlier than that, he was at Google, the place he was engineering lead for information and machine studying the place he constructed one of many world’s largest ML methods, targeted on privateness and security – Google’s Belief Graph. His experience, notably, is a driving drive to why Ema’s Agentic AI system is very correct and constructed to be enterprise prepared by way of safety and privateness.
My cofounder Souvik and I believed what for those who had a Michelin Star Chef in-house who may cook dinner something you requested for. You may be within the temper for French in the present day, Italian tomorrow and Indian the day after. However no matter your temper or the delicacies you need, that chef can recreate the dish of your desires. That’s what Ema can do. It could tackle the position of no matter you want within the enterprise with only a easy dialog.
Ema makes use of over 100 giant language fashions and its personal smaller fashions. How do you guarantee seamless integration and optimum efficiency from these assorted sources?
LLM’s, whereas highly effective, fall brief in enterprise settings as a consequence of their lack of specialised information and context-specific coaching. These fashions are constructed on common information, leaving them ill-equipped to deal with the nuanced, proprietary info that drives enterprise operations. This limitation can result in inaccurate outputs, potential information safety dangers, and an incapability to offer domain-specific insights essential for knowledgeable decision-making. Agentic AI methods like Ema deal with these shortcomings by providing a extra tailor-made and dynamic method. Not like static LLMs, our agentic AI methods can:
- Adapt to enterprise-specific information and workflows
- Leverage a number of LLMs primarily based on accuracy, price, and efficiency necessities
- Keep information privateness and safety by working inside firm infrastructure
- Present explainable and verifiable outputs, essential for enterprise accountability
- Constantly replace and study from real-time enterprise information
- Execute advanced, multi-step duties autonomously
We guarantee seamless integration from these assorted sources through the use of Ema’s proprietary 2T+ parameter combination of consultants mannequin: EmaFusionTM. EmaFusionTM combines 100+ public LLMs and lots of area particular customized fashions to maximise accuracy on the lowest potential price for extensive number of duties within the enterprise, maximizing the return on funding. Plus, with this novel method, Ema is future-proof; we’re continuously including new fashions to stop overreliance on one expertise stack, taking this danger away from our enterprise prospects.
Are you able to clarify how the Generative Workflow Engine works and what benefits it affords over conventional workflow automation instruments?
We’ve developed tens of template Personas (or AI workers for particular roles). The personas will be configured and deployed rapidly by enterprise customers – no coding information required. At its core, Ema’s Personas are collections of proprietary AI brokers that collaborate to carry out advanced workflows.
Our patent-pending Generative Workflow Engine™, a small transformer mannequin, generates workflows and orchestration code, choosing the suitable brokers and design patterns. Ema leverages well-known agentic design patterns, similar to reflection, planning, software use, multi-agent collaboration, language agent tree search (LATS), structured output and multi-agent collaboration, and introduces many revolutionary patterns of its personal. With over 200 pre-built connectors, Ema seamlessly integrates with inside information sources and might take actions throughout instruments to carry out successfully in varied enterprise roles.
Ema is utilized in varied domains from customer support to authorized to insurance coverage. Which industries do you see the best potential for development with Ema, and why?
We see potential throughout industries and features as most enterprises have lower than 30% automation in processes and use greater than 200 software program functions resulting in information and motion silos. McKinsey & Co. estimates that generative AI may add the equal of $2.6 trillion to $4.4 trillion yearly in productiveness features (supply).
These points are exacerbated in regulated industries like healthcare, monetary companies, insurance coverage the place a lot of the final a long time technical automations haven’t occurred because the expertise was not superior sufficient for his or her processes. That is the place we see the most important alternative for transformation and are seeing a whole lot of demand from prospects in these industries to leverage Generative AI and expertise like by no means earlier than.
How does Ema deal with information safety and safety issues, particularly when integrating a number of fashions and dealing with delicate enterprise information?
A urgent concern for any firm utilizing agentic AI is the potential for AI brokers to go rogue or leak personal information. Ema is constructed with belief at its core, compliant with main worldwide requirements similar to SOC 2, ISO 27001, HIPAA, GDPR, NIST AI RMF, NIST CSF, NIST 800-171 To make sure enterprise information stays personal, safe, and compliant, Ema has applied the next safety measures:
- Automated redaction and secure de-identification of delicate information, audit logs
- Actual-time monitoring
- Encryption of all information at relaxation and in transit
- Explainability throughout all output outcomes
To go the additional mile, Ema additionally checks for any copyright violations for doc era use circumstances, decreasing prospects’ probability of IP liabilities. Ema additionally by no means trains fashions on one buyer’s information to profit different prospects.
Ema additionally affords versatile deployment choices together with on-premises deployment capabilities for a number of cloud methods, enabling enterprises to maintain their information inside their very own trusted environments.
How straightforward is it for a brand new firm to get began with Ema, and what does the standard onboarding course of appear to be?
Ema is extremely intuitive, so getting groups began on the platform is sort of straightforward. Enterprise customers can arrange Ema’s Persona(s) utilizing pre-built templates in simply minutes. They will positive tune Persona conduct with conversational directions, use pre-built connectors to combine with their apps and information sources, and optionally plug in any personal customized fashions educated on their very own information. As soon as arrange, consultants from the enterprise can practice their Ema persona with just some hours of suggestions. Ema has been employed for a number of roles by enterprises similar to Envoy International, TrueLayer, Moneyview, and in every of those roles Ema is already acting at or above human efficiency.
Ema has attracted vital funding from high-profile backers. What do you consider has been the important thing to gaining such robust investor confidence?
We consider traders can see how Ema’s platform allows enterprises to make use of Agentic AI successfully, streamlining operations for substantial price reductions and unlocking new potential income streams. Moreover, Ema’s administration group are consultants in AI and have the required technical information and talent units. We even have a powerful observe document of enterprise-grade supply, reliability, and compliance. Lastly, Ema’s merchandise are differentiated from the rest available on the market, it’s pioneering the most recent technical developments in Agentic AI, making us the go-to selection for any enterprise wanting so as to add next-generation AI to their operations.
How do you see the position of AI within the office evolving over the following decade, and what position will Ema play in that transformation?
Ema’s mission is to rework enterprises and assist each worker work sooner with the assistance of simple-to-activate and correct brokers. Our common AI worker has the potential to assist enterprises execute duties throughout buyer assist, worker assist, gross sales enablement, compliance, income operations, and extra. We’d like to rework the office by permitting groups to give attention to probably the most strategic and highest-value tasks as an alternative of mundane, administrative duties. As a pioneer of agentic AI, Ema is main a brand new period of collaboration between human and AI workers, the place innovation prospers, and productiveness skyrockets.
Thanks for the good interview, readers who want to study extra ought to go to Ema.
