EDGE: Ententia's Enterprise Gen AI Platform
Accelerate your AI journey with light-weight, purpose-built platform to support wide-range of use cases
Key Benefits
Incorporate Custom Context Integrate w/ Enterprise Data Built-in Security & Scalability Light-weight & Cost-effective Shared Architecture & User Interface Ready to Deploy In Your Cloud Industry-specific Products
Illustrative examples of Products for Energy & Utilities Industry
Key Benefits
Core Industry Workflows Value-focused Full Operational Context In-depth Analysis Integration with Existing Solutions Designed to Scale Value-focused Services
Comprehensive set of services to help accelerate your GenAI journey
Generative AI Accelerators
Proprietary tools and services to accelerate your Gen AI journey
Key Benefits
Informed Decisions Quicker Path to Value Cost Effective Robust Idea Generation Rapid Prototyping Production-ready Solutions Ententia Perspectives
The Agility Advantage - How Gen AI can be a Game Changer for MSEs
Generative AI is a game-changer for Medium-Sized Enterprises (MSEs). With accessible, cost-effective tools and infrastructure, MSEs can innovate faster, operate smarter, and compete more effectively than ever before. This whitepaper is a call to action for MSE leaders to rethink their approach to AI adoption. It explores how smaller size, and agility can be a competitive advantage, why effective leadership is key to mobilizing teams, and how organizations can implement AI without major disruptions. It also presents a clear, two-track action plan to drive both immediate impact and long-term transformation. AI is reshaping industries. The only question is: Will you lead the change or struggle to keep up?
Exploring Generative AI Opportunities in Health, Environment, and Safety (HES)
The Health, Environment, and Safety (HES) domain is foundational to industrial operations, safeguarding both people and the planet while ensuring compliance with rigorous regulatory frameworks. Despite considerable efforts, HES continues to face significant challenges—from navigating complex regulations and managing extensive documentation to ensuring worker safety in dynamic environments. These challenges are further amplified by the influx of a younger, technologically adept workforce that may lack deep operational and risk management experience. To keep pace, HES tools and approaches must evolve, fostering an adaptive safety culture that anticipates and meets future needs.
Enterprise Gen AI Model Selection Framework - Part II
In Part II of the whitepaper, we focus on the non-technical aspects of model selection. We outline critical factors to consider across commercial, sustainability, and governance dimensions. Additionally, we discuss how to apply the framework in practice and address potential edge cases. Together, these whitepapers provide a comprehensive approach to selecting the most suitable Gen AI model family for an enterprise.
Enterprise Gen AI Model Selection Framework - Part I
In this whitepaper, we present an enterprise-specific framework for selecting a Generative AI model family. The framework goes beyond model quality and performance, incorporating additional factors essential for the successful and scalable deployment of Gen AI solutions. Part I introduces the overall framework and delves into key technical considerations.
Unlocking Value in Core Upstream Operations with Generative AI
The Upstream Oil & Gas industry faces numerous challenges, including market unpredictability, regulatory complexities, and the pressure to enhance operational sustainability. Generative AI offers a transformative opportunity to boost productivity, streamline operations, and improve decision-making. In this blog post, we present specific use cases—such as Production Assistant and Digital Field Worker—that show how upstream operators can achieve superior production outcomes, enhance safety performance, and increase employee productivity. Dive in to see how Generative AI is reshaping upstream operations, one use case at a time.
Harnessing Gen AI for Enterprise Excellence
This whitepaper explores unique challenges faced by enterprises in integrating Generative AI into their operations. Focus on accuracy, consistency, and operational safety is paramount. We outline the limitations of existing models and propose a systematic, multi-layered approach to addressing them.
About Us
Our Story
With expectations for transformative change continuing to rise from all stakeholders, rapid ongoing evolution of technology combined with lack of compelling industry-centered solutions and talent create a challenging environment for business and technology leaders. Ententia, a venture funded startup, aims to bridge the gap!
Our Mission
Accelerate the next evolution of your Enterprise AI journey, focused on delivering value from your core business workflows!
Team
Dhiren Shethia
Co-founder
Dhiren is a seasoned entrepreneur, leader, investor and advisor to fortune 500 executives. He is passionate about energy, energy transition and role of Data & AI to achieve a sustainable future for industrial ecosystem.
Nishant Shah
Co-founder
Nishant brings over 20 years of consulting experience solving complex business problems across industries, using data and technology. He has led large cross-functional teams across companies such as Accenture & PwC.
Kinnari Patwa
Technology Lead
With over 16 years of experience in technology, Kinnari is an accomplished Solutions Architect who has led teams at industry leaders like JP Morgan, driving innovation and delivering scalable, robust technology solutions.