Agentic AI & Gen AI

Why Konverge AI for Agentic AI & Gen AI?

With 35+ Gen AI & 20+ Agentic AI projects delivered since 2022 and a 55% POC-to-production conversion rate, we are one of the few firms recognized by AIM as a Top Gen AI Service Provider that consistently takes Gen AI from  to live enterprise systems. Our Agentic AI solutions are in production across manufacturing, healthcare, and construction, handling everything from autonomous lead qualification to real-time sensor intelligence. We build for outcomes, not just demos.

Our Gen AI & Agentic AI Approach

We apply our GenAI Use Case Prioritization Framework to identify what's worth building. Architecture decisions like RAG vs. fine-tuning, single vs. multi-agent, are made based on your data, security, and performance requirements.
Engineering using LangGraph for multi-agent orchestration, MCP for cross-platform integration, and our proprietary DataLens accelerator for AI-powered knowledge retrieval. Models span Claude, GPT, DBRX, and open-source LLMs for on-premise deployments.
Every agentic system is tested against real-world failure scenarios before go-live. Human-in-the-Loop approval workflows, hallucination controls, and structured output validation are embedded by design — not added after.
Production deployment with real-time telemetry on task success, response latency, and cost per inference. Feedback loops drive continuous improvement as data and business requirements evolve.

Our Gen AI & Agentic AI Approach

Use Case Selection & Architecture Design

We apply our GenAI Use Case Prioritization Framework to identify what's worth building. Architecture decisions like RAG vs. fine-tuning, single vs. multi-agent, are made based on your data, security, and performance requirements.

Build- Agents, Pipelines & Models

Engineering using LangGraph for multi-agent orchestration, MCP for cross-platform integration, and our proprietary DataLens accelerator for AI-powered knowledge retrieval. Models span Claude, GPT, DBRX, and open-source LLMs for on-premise deployments.

Validate- HITL & Adversarial Testing

Every agentic system is tested against real-world failure scenarios before go-live. Human-in-the-Loop approval workflows, hallucination controls, and structured output validation are embedded by design — not added after.

Deploy & Monitor- LLMOps

Production deployment with real-time telemetry on task success, response latency, and cost per inference. Feedback loops drive continuous improvement as data and business requirements evolve.

Business Impact

35 +
Gen AI Projects (2022–2025)
55 %
POC-to-Production Rate
90 %+
Accuracy in Production LLM Systems
100 x
Time-to-Insight Improvement (Manufacturing)

Recognitions & Partnerships 

Schedule an AI Strategy Session

Get your AI Readiness Assessment in 2 weeks