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Arya.ai Launches APEX MCP to make LLMs domain experts

Arya.ai's new APEX MCP client and server applications provide a modular layer of pre-trained expertise, making large language models more reliable and precise for specific domains.

byKerem Gülen
May 12, 2025
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Arya.ai has launched its APEX MCP Client and Server applications, a breakthrough orchestration layer designed to turn general-purpose large language models into verifiable domain experts. The company announced the launch on May 12, 2025, in Mumbai, India, and New York.

The introduction of these applications addresses a common issue with large language models (LLMs): hallucinations, inconsistency, and poor reliability in domain-specific tasks. Arya.ai’s solution involves a modular layer of pre-trained applications that wrap domain knowledge around any LLM, making it more 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.”

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Arya.ai’s MCP-enabled APEX platform comes with over 100 pre-built AI modules that empower the foundational LLM. These modules allow teams to compose workflows across various domains such as Finance, Compliance, Privacy, and Customer Experience. Each module is designed to handle nuanced domain-specific tasks like analyzing financial statements, credit assessment, and detecting document fraud.

The modules can be discovered via a searchable catalog, invoked through JSON-RPC, and chained together via APEX’s no-code UI. The MCP Server handles module discovery, execution, and logging, while the MCP Client orchestrates pre-processing and LLM integration.

The platform is LLM-agnostic, giving enterprises full flexibility. Key features include:

  • 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 include banks parsing transactional documents, assessing risk, and generating reports without switching between multiple applications. RegTech firms can automate compliance workflows with full audit trails, while customer experience teams can extract insights from feedback and classify support issues.

Arya.ai is offering early access to its APEX + MCP Sandbox, allowing enterprises to experiment with module chaining, LLM configuration, and orchestration through a visual UI. The platform enables teams to build and test domain-wrapped AI workflows using their own data, with full control and traceability.

To learn more or request a demo, visit https://arya.ai or contact [email protected].


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