What is Ema?
Ema is a Universal AI Employee designed to enhance productivity across numerous roles within a company. Its main features include the ability to integrate with hundreds of different applications, interact with any form of data, and automate complex workflows using its proprietary Generative Workflow Engine. Ema uses its unique EmaFusion model to combine results from large public language models and custom private models for a unified and highly precise outcome. Apart from being a sophisticated generative AI, Ema also puts a significant emphasis on data governance and security, complying with prominent international standards like SOC 2, ISO 27001, HIPAA, and GDPR to ensure that sensitive data is securely managed.
How does Ema help to boost productivity?
Ema helps boost productivity by integrating with hundreds of different apps, interacting with any form of data, and automating complex workflows. It does this using its proprietary Generative Workflow Engine. Ema also has the ability to act as a conversational interface for users, allowing them to intuitively engage it to automate tasks across multiple business applications. This potentially saves a significant amount of time and effort, enabling individuals and teams to focus on other critical tasks.
What is unique about Ema's Generative Workflow Engine?
Ema's Generative Workflow Engine is a unique feature that allows it to automate complex workflows. It simplifies complex tasks by breaking them down into dependent subtasks, each of which it optimizes separately. With its ability to work through simple conversations, it offers a user-friendly way to handle intricate processes in business applications.
How many apps can Ema integrate with?
Ema can integrate with hundreds of different apps, enabling it to function seamlessly across a wide spectrum of business applications. The exact number is not specified.
Can you provide more information about the EmaFusion model?
The EmaFusion model is a distinct feature of Ema that combines the outputs from foundational large language models (LLMs) and custom smaller models. This blend delivers maximized accuracy at the lowest potential cost. The model is continuously updated with new models to enhance its precision, guaranteeing high-quality outcomes while preventing over-reliance on a single algorithm and avoiding lock-in to any specific public LLM stack.
What is a standard persona?
A standard persona refers to the pre-configured roles which Ema supports, like Customer Support, Sales, HR, and Data related roles. Ema comes with these and enables businesses to utilize Emaβs sophisticated features to automate tasks specific to each role.
How does Ema maintain data security?
Ema maintains data security by implementing robust security measures that include the redaction of sensitive data from audit logs. It doesn't use one customer's data to benefit other clients, ensuring each customer's data privacy. Also, Ema abides by leading international security standards like SOC 2, ISO 27001, HIPAA, and GDPR.
What compliance standards does Ema abide by?
Ema strictly complies with leading international standards which include SOC 2, ISO 27001, HIPAA, and GDPR. By adhering to these standards, Ema ensures robust data governance and secure handling of sensitive data.
How does Ema interact with data?
Ema interacts with data in several ways due to its ability to integrate with hundreds of different apps. It works with any form of data, enabling it to deliver unique insights that drive decision-making processes across several roles in a company. Emaβs interaction with data is not restricted to enterprise content; it can also use web data to provide real-time market updates on regulations, emerging trends, and market competition.
What are some of the shortcomings Ema aims to resolve in Gen AI?
Ema aims to resolve several shortcomings commonly associated with Gen AI. These limitations include fragmentation, high risk due to inadequate security measures, and unreliability. Ema also addresses the common issue of Gen AI platforms not being able to operate optimally across different enterprise applications.
What roles within an organization can Ema cover?
Ema can cover various roles within an organization such as Customer Support, Sales, HR, and Data. Moreover, Ema gives users the ability to conversationally build new Specialized Personas instantly, allowing it to adapt to the unique requirements of a wide variety of professional roles.
Can I create new specialized personas with Ema?
Yes, with Ema, users can create new specialized personas instantly. This flexibility allows Ema to adapt to unique requirements of specialized roles within an organization.
How is Ema different from other AI tools?
Ema distinguishes itself from other AI tools by its ability to serve as a universal AI employee that seamlessly integrates with hundreds of apps and works with any form of data. Its proprietary Generative Workflow Engine allows it to automate complex workflows, and its unique EmaFusion model blends outputs from large language models and custom private models for optimal outcomes. In addition to its AI capabilities, it also ensures strict compliance with international data governance standards and offers substantial security measures to protect sensitive data.
How does Ema use the Generative Workflow Engine to automate tasks?
Ema uses its Generative Workflow Engine to automate tasks by breaking down any complex task into dependent subtasks and executes each one optimally. It does this through straightforward conversations, allowing users to easily automate tasks across multiple business applications.
How can Ema help in automating complex workflows?
With its proprietary Generative Workflow Engine, Ema is able to automate complex workflows. The engine deconstructs a complex process into dependent subtasks, optimizing them individually to ensure efficient workflow management. This is carried out through simple conversations, providing an intuitive means for users to manage and oversee complex workflows.
Does Ema undergo continual updates and improvements?
Yes, Ema constantly evolves and improves over time. Its EmaFusion model, for example, is continually strengthened by having new models added to it. This continuous enhancement to its precision prevents over-reliance on a single algorithm and avoids getting locked into any specific public Large Language Model (LLM) stack.
How does Ema ensure sensitive data is redacted from audit logs?
Ema guarantees the redaction of sensitive data from audit logs, part of the robust security measures it implements for data protection. This feature ensures that any sensitive customer or business information is securely handled and kept private.
Can Ema help in customer support, sales, HR and data roles?
Yes, Ema can significantly contribute to optimizing tasks associated with roles such as Customer Support, Sales, HR, and Data. It comes with standard personas for these common roles allowing businesses to leverage Ema's intelligent features for automation and data processing specific to each role. Ema can automatically resolve a large percentage of tickets in Customer Support, deliver immediate, actionable insights with Data roles, and much more.
Can Ema work seamlessly across hundreds of apps and any kind of data?
Yes, Ema can work seamlessly across hundreds of apps and any kind of data. This flexibility lets it provide valuable insights that drive decision-making processes across a variety of roles within a company.
How does the accuracy of solutions provided by Ema improve over time?
The accuracy of solutions provided by Ema improves over time due to the ongoing updates to its EmaFusion model. The model continually adds new models to enhance its accuracy, thereby ensuring that the outcomes it generates are increasingly reliable and precise.