Arya.Ai Unveils MCP Applications To Transform Generic Llms Into Domain-Specific Experts

MUMBAI, India and NEW YORK, May 12, 2025 /CNW/ -- Arya.ai today announced the launch of its APEX MCP (Model Context Protocol) Client and Server applications. It's a breakthrough orchestration layer designed to turn general-purpose large language models into verifiable domain experts.

As LLMs become integral across customer support, operations, and compliance workflows, a familiar problem emerges: hallucinations, inconsistency, and poor reliability in domain-specific tasks. Arya.ai's answer? A modular layer of pre-trained applications that wrap domain knowledge around any LLM, making it trustworthy.

"At its core, MCP is adapted as an orchestration engine that brings domain context, reduced hallucinations, and precision to GenAI-driven applications," said Deekshith Marla, Founder of Arya.ai. "It's not just about prompting smarter—it's about gaining from a foundation of verified, validated expertise."

Domain-Wrapping at Scale

With over 100 pre-built AI modules empowering the foundational LLM, Arya's MCP-enabled APEX platform allows teams to compose workflows that extend across Finance, Compliance, Privacy, Customer Experience, and more. Each module is engineered to handle nuanced domain specific tasks like analyzing financial statements, credit assessment, detecting document fraud, verifying identities, audio analysis, Insurance claims processing, and a lot more.

Modules can be discovered via a searchable catalog, invoked through JSON-RPC, and chained together via APEX's no-code UI. Whether extracting data, enforcing rules, or pre-processing context, each module wraps an LLM in domain-grounded input and post-validates its outputs, making AI trustworthy by design.

Plug, Play, and Govern

The MCP Server handles module discovery, execution, and logging, while the MCP Client orchestrates pre-processing and LLM integration.

It's LLM agnostic that gives enterprises full flexibility.

What sets it apart?

Audit-Ready AI: Every module call, prompt, and LLM response is logged, ensuring traceability and compliance.
Zero Rewrite Integration: Add or swap modules without touching the application logic.
Scalable Composition: Create powerful AI workflows by chaining modules like 'PII Redaction → Sentiment Analysis → Executive Summary' in one flow.

Enterprise Use Cases in Action

Banks can now parse transactional documents, assess risk, and generate reports without moving across multiple applications.

RegTech firms can automate compliance workflows with full audit trails. And customer experience teams can extract insights from feedback, classify support issues, and recommend next actions—instantly.

What's Next

Arya.ai, an Aurionpro company, is offering early access to its APEX + MCP Sandbox. It'll allow enterprises to experiment with module chaining, LLM configuration, and orchestration directly through a visual UI.

Whether used for automation, risk analysis, compliance, or customer support, the platform enables teams to rapidly build and test domain-wrapped AI workflows using their own data, with full control and traceability.

With MCP at the center, Arya.ai is building verifiable, compliant, and scalable intelligence—one module at a time.

To learn more or request a demo, visit https://arya.ai or contact us at hello@arya.ai

Photo: https://mma.prnewswire.com/media/2684783/Arya_ai_MCP_Applications.jpg

Logo: https://mma.prnewswire.com/media/2620540/5312999/Arya_ai_Logo.jpg

View original content to download multimedia:https://www.prnewswire.com/news-releases/aryaai-unveils-mcp-applications-to-transform-generic-llms-into-domain-specific-experts-302452204.html

SOURCE Arya.ai

Frequently Asked Questions

What is APEX MCP?

APEX MCP is an orchestration layer from Arya.ai that transforms general-purpose large language models (LLMs) into reliable domain experts by adding a layer of pre-trained modules for specific tasks.

How does APEX MCP ensure compliance?

APEX MCP provides a complete audit trail by logging every module call, prompt, and LLM response, ensuring traceability and meeting compliance requirements.

What are some use cases for APEX MCP?

APEX MCP is used across various industries for tasks like financial statement analysis, risk assessment, compliance automation, customer support, and more.

First published on Mon, May 12, 2025

Enjoyed what you read? Great news – there’s a lot more to explore!

Dive into our content repository of the latest tech news, a diverse range of articles spanning introductory guides, product reviews, trends and more, along with engaging interviews, up-to-date AI blogs and hilarious tech memes!

Also explore our collection of branded insights via informative white papers, enlightening case studies, in-depth reports, educational videos and exciting events and webinars from leading global brands.

Head to the TechDogs homepage to Know Your World of technology today!

Disclaimer - Reference to any specific product, software or entity does not constitute an endorsement or recommendation by TechDogs nor should any data or content published be relied upon. The views expressed by TechDogs' members and guests are their own and their appearance on our site does not imply an endorsement of them or any entity they represent. Views and opinions expressed by TechDogs' Authors are those of the Authors and do not necessarily reflect the view of TechDogs or any of its officials. While we aim to provide valuable and helpful information, some content on TechDogs' site may not have been thoroughly reviewed for every detail or aspect. We encourage users to verify any information independently where necessary.

Tags:

Arya.ai APEX MCP LLM Large Language Model AI Artificial Intelligence Orchestration Domain Expertise Verifiable AI Compliance Audit Trail Automation Workflow GenAI Machine Learning Enterprise Solutions Financial Management RegTech Customer Support

Join The Discussion

- Promoted By TechDogs -

Artificial Intelligence

FeaturedArtificial Intelligence

Artificial Intelligence

FeaturedArtificial Intelligence

Artificial Intelligence