Works with leading EMR tools you already use

Ema stands out with its advanced AI and machine learning capabilities, offering inductive reasoning, adaptive learning, predictive analytics, and real-time data processing alongside customizable and scalable solutions that seamlessly integrate with existing systems. Its comprehensive support, user-friendly interface, and commitment to ethical AI ensure effective and responsible deployment, enhancing operational efficiency and decision-making for enterprises.

Ema is the missing operating system that makes Enterprise Generative AI possible—simple to implement, accurate, and trusted. You collaborate with her just like a trusted colleague. Simply ask her to do a complex task, and through her Generative Workflow Engine™, Ema figures out how to break it into simpler tasks and uses enterprise tools to accomplish them. Ema’s flexible agent architecture scales to do a large number of tasks out of the box. Ema continuously learns from your best employees and keeps getting better. Additionally, the EmaFusion™ model combines the best public LLMs and our homegrown smaller private LLMs, offering unrivaled accuracy.

Ema uses powerful RLHF (Reinforcement Learning from Human Feedback). Ema learns from conversational feedback and can adapt behavior quickly. Feedback is captured in the user interface by configurable random user polling and a thumbs up/down button on responses that collects associated user input.

Ema uses our own 3 trillion parameter mixture of experts model called EmaFusion™. A mixture of Experts is a concept first published in the 2022 paper "Taming Sparsely Activated Transformer with Stochastic Experts" by Zuo et al. EmaFusion™harnesses the power of a diverse range of foundational models, including GPT-4, Claude, Gemini, Llama3, Mistral, Databricks DBRX, Snowflake Arctic, and even your own custom models. EmaFusion™ intelligently combines the output from multiple models to deliver unmatched accuracy and reliability. Ema automatically evaluates and updates the competencies of each model so the results you get are always the most accurate and optimal.

Citations and explainability are native to every answer provided. Ema provides URL or document page number citations and explains her chain of thought behind any action she takes. For example, Ema will always quote and cite relevant sources (internal documents, external docs/websites if applicable), display any code generated, and explain the steps of actions taken.

Current GenAI solutions often suffer from “hallucinations” where they produce inaccurate or nonsensical outputs. This leads to costly mistakes, wasted resources, and loss of trust in AI technology. By utilizing 100+ models, EmaFusion™ intelligently combines the output from multiple models, delivering unmatched accuracy and reliability. Ema automatically evaluates and updates the competencies of each model to reduce the risk of hallucinations while using the best each model offers.

Ema takes the principles of data security and privacy seriously. Ema ensures that all authentication and authorization requirements are met and that employees can only see responses based on what they are authorized to see. Ema’s inbuilt privacy vault and data governance layer redacts sensitive information before sharing it with public LLMs. Ema also offers the option for organizations to deploy a private instance of an LLM with all data processing to remain contained within their tenant. Ema is compliant with all leading international standards: SOC 2 Type I & II, HIPAA, GDPR, ISO 27001:2022. Read our trust report.

Ema is built with trust at its core, compliant with leading international standards such as HIPAA, GDPR, SOC 2, and ISO 27001. Robust privacy measures including automatic redaction and safe de-identification of sensitive data, audit logs, real-time monitoring, robust encryption of all data at rest and in transit, and explainability across all output results ensure your enterprise data remains private, secure, and compliant. For document generation use cases, Ema also checks for any copyright violations to ensure customers don’t incur IP liabilities. Additionally, Ema never trains models on one customer’s data to benefit other customers.