
Role of Data Solutions for AI Deployment
Great AI products need to solve the data woes of enterprises reliably and consistently. Sudeep George, VP of Engineering at iMerit, deep dives into the importance of high-quality data in building effective machine learning models on the I M Possible podcast with Eddie Avil.
Watch iMerit’s VP of Engineering, Sudeep George, discuss:
- How to ensure that data is high-quality
- The role of ML DataOps and how it helps with AI model performance
- How enterprises can accelerate their AI development and deployment
- How AI can be made more accessible
- Cutting-edge AI innovation & its social impact



Vision-Language-Action Model For Autonomous Mobility
To support a cutting-edge demo in autonomous mobility, a leading AI company partnered with iMerit to power its Vision-Language-Action (VLM) model with high-quality, expertly curated training data. iMerit’s team of domain specialists rapidly annotated real and synthetic driving scenarios, improving model accuracy, explainability, and safety—while delivering a 50% boost in task efficiency.
This case study highlights how iMerit’s tailored data annotation and VLM expertise enabled the client to surpass demo goals, enhance model transparency, and accelerate innovation in autonomous vehicle technology.



Improving Retrieval-Augmented Generation For Healthcare Chatbot
To ensure accurate and safe generative outputs from its healthcare chatbot, a leading U.S. tech company partnered with iMerit to evaluate and refine a new medical dataset using Retrieval-Augmented Generation (RAG). Leveraging a team of nurses and a board-certified physician, iMerit developed a scalable, expert-driven workflow to audit medical definitions for accuracy, safety, and usefulness—achieving 99% consensus and over 72% in project cost savings.
This case study highlights how iMerit's domain-specific RLHF and human-in-the-loop evaluation helped the client reduce risk, improve quality, and scale responsibly in a high-stakes healthcare environment.



RLHF For AI Co-Pilot
A leading professional social networking platform partnered with iMerit to enhance its AI-powered co-pilot through Reinforcement Learning from Human Feedback (RLHF). The goal was to ensure that the co-pilot delivers accurate, coherent, and responsible responses tailored to users' job-related queries. iMerit provided expert annotation and response evaluation services, helping align the assistant’s output with the platform’s values and professional tone.
By leveraging a skilled team and customizable tools, iMerit improved the assistant’s conversational quality, boosted user satisfaction, and upheld ethical standards. The collaboration led to measurable gains in responsiveness, relevance, and user engagement—making the AI co-pilot a more effective and trusted digital assistant.



Meet FusionAuth: The Most Customizable Auth Solution on the Market
Why is FusionAuth the Most Customizable Auth Solution on the Market?
Everybody wants a customer login experience that feels like it’s their own. Nobody wants to dedicate the time, effort, and developer resources to make it happen. This is one of the many reasons that developers love FusionAuth. It’s a downloadable, single-tenant CIAM (customer identity and access management) solution that gives you complete control over your authentication. Just us for this webinar to learn why FusionAuth is the most customizable customer login solution on the market.



Top 3 Risks for DIY Auth in Regulated Industries
Today, strong authentication is essential, especially in industries like banking and healthcare. These sectors deal with sensitive data and face strict regulations, making security a top priority. Building your own authentication system might seem like a good idea at first, but it can quickly become a major headache for your development team.



The State of Homegrown Authentication Report: 2025
This inaugural State of Homegrown Authentication report, sponsored by FusionAuth and Cloudelligent, is the first to dive into the tech stack of those building authentication themselves.
The State of Homegrown Authentication report paints a clear picture of the teams building their own login systems—from the mix of third-party libraries and auth servers they use (or don’t) to the people dedicated to the task. See the key takeaways.



The Modern Guide to OAuth
There are hundreds of articles and blog posts covering OAuth 2.0, but none of them present the modern, real-world use cases. This guide covers OAuth 2.0 from a real-world perspective and covers modern use cases of the specifications.
This guide is different than most of the others out there because it covers all of the ways that we actually use OAuth. It also covers all of the details you need to be an OAuth expert without reading all the specifications or writing your own OAuth server.
This book is based on hundreds of conversations and client implementations as well as our experience building FusionAuth, an OAuth server which has been downloaded over a million times.



Why Passkeys Improve User Security & How to Implement Them
Despite the challenges inherent in passwords, authentication has never been more important. Passkeys offer a significant advancement in digital authentication, using the principles of public key cryptography to create a desperately needed authentication alternative to traditional passwords.
Passkeys are an innovative solution to the problem of weak and vulnerable passwords. They utilize public key cryptography to provide a more secure and user-friendly authentication method. By eliminating the need for traditional passwords, passkeys reduce the risk of phishing, social engineering, and brute force attacks.



Leveraging Consensus Logic and Escalations to Improve RLHF
In the evolving world of AI development, ensuring alignment between machine behavior and human intent is critical. This blog explores how consensus logic and escalation workflows can significantly enhance the effectiveness of Reinforcement Learning from Human Feedback (RLHF). By aggregating multiple human judgments and escalating ambiguous cases to expert reviewers, these strategies reduce bias, increase reliability, and improve the overall trustworthiness of AI systems.



Unlocking the Potential of In-cabin Solutions: Emerging Use Cases & Evolving Data Needs
As vehicles advance toward autonomy, in-cabin monitoring systems are becoming essential for enhancing safety, comfort, and compliance. These AI-driven systems track driver alertness, passenger behaviour, and environmental factors—transforming the driving experience and meeting growing regulatory demands. With the market projected to soar past $3.2B by 2031, the need for smart, reliable monitoring has never been greater.
iMerit supports this evolution with high-quality data annotation via its Ango Hub platform, combining predictive AI with expert oversight. This ensures automotive companies can train accurate, bias-free models for use cases ranging from driver fatigue detection to child safety—driving innovation in next-generation vehicle intelligence.



Generative AI Chatbots in Healthcare
Generative AI chatbots are reshaping the healthcare industry by streamlining operations, enhancing patient care, and offering round-the-clock support. From symptom checking and appointment scheduling to chronic disease management and mental health assistance, these AI-powered assistants provide scalable, accessible solutions for patients and professionals alike. As technology evolves, so does their potential—integrating with wearables, delivering personalised care, and supporting complex diagnoses with impressive accuracy.
Despite the promise, challenges like data privacy, regulatory compliance, and the need for expertly annotated medical datasets remain. iMerit addresses these issues head-on with secure, HIPAA-compliant data solutions, expert-driven annotation services, and domain-specific reinforcement learning support. With its proven track record and deep expertise in healthcare AI, iMerit is empowering organisations to build accurate, ethical, and scalable AI chatbots that are shaping the future of patient-centred care.



Turning Raw Data into AI Insights with Snowflake and Ango Hub
In today’s fast-evolving AI landscape, enterprises face challenges in scaling machine learning workflows from development to production. This blog explores how the integration of Snowflake and iMerit's Ango Hub streamlines AI data pipelines—combining robust cloud data warehousing with advanced multimodal data annotation. Learn how this powerful synergy accelerates model training, enhances data quality, and enables seamless MLOps with automation and human-in-the-loop precision.
Discover how Snowflake and Ango Hub transform raw data into AI insights through seamless integration of cloud storage, automated annotation, and expert validation—empowering scalable, high-quality AI development.



Get CRM-Ready: A 10-Step Guide for Manufacturing and Distribution Teams
Implementing a CRM system can be a game-changer for manufacturing and distribution teams—but success starts with solid preparation. Get CRM-Ready: A 10-Step Guide for Manufacturing and Distribution Teams provides a practical checklist to help you align teams, define workflows, and lay the foundation for a smooth CRM rollout.
From mapping sales processes to setting mobile requirements and integrating with ERP systems, this guide covers everything you need to drive adoption, improve efficiency, and deliver real business value. Perfect for teams replacing outdated tools or starting from scratch—download the guide to get started today.



What Manufacturing Business Leaders Need to Know about AI
Artificial Intelligence (AI) is fast becoming a critical component of business operations for manufacturers. As AI becomes more established, manufacturing executives need to keep pace by understanding its implications and potential benefits.
At Epicor, we’re developing more than just a chatbot. Epicor Prism is a network of vertical AI agents that utilize the power of large language model (LLM) services. Prism is already available in Epicor Kinetic, our global cloud ERP for manufacturers, and our long-term vision is for Epicor Prism to serve as the user interface for LLM-enabled processes across all Epicor ERP platform.
Access our eBook to get a clear understanding of how you can apply AI to improve your manufacturing business.

