NeevDisha

Foundational Agentic Platform

A unified, closed-loop platform that can benchmark, optimize, and maintain the right LLM configuration for every semiconductor use case.

Request a Demo

NeevDisha Flow

Four tightly integrated stages form the complete closed-loop optimization cycle — from use-case setup to continuous self-healing reconfiguration.

1
Use-case Setup
Identify use cases · Select benchmarks · Build agent interfaces
2
Benchmark & Score Engine
Evaluate LLMs against domain-specific benchmarks per use case
3
Optimization Core
Match LLM interface to user-defined performance ↔ cost criteria
4
Closed-Loop Agent
Auto-update agentic tool configs · Continuous re-evaluation · Feedback

Advantages

Why NeevDisha wins

Use-Case Driven
Starts from real workflows, not abstract benchmarks. Every evaluation is anchored to a specific semiconductor task — RTL gen, DRC, verification — so results are immediately actionable.
Performance ↔ Cost Control
Users define their own optimization envelope. The platform finds the best LLM configuration that meets both performance thresholds and budget constraints simultaneously.
Closed-Loop, Self-Healing
No manual re-tuning. When models drift, costs spike, or new LLMs launch, the feedback agent automatically re-evaluates and reconfigures the agentic tool stack.
Unlimited Use Cases
Not a one-size-fits-all scorer. The setup process scales to any number of use cases, each with its own benchmark suite, agent interfaces, and optimization criteria.
Agent-Native Integration
Purpose-built to interface directly with agentic tools driving semiconductor workflows. Configuration changes propagate to agents without manual intervention.
Vendor-Agnostic & Future-Proof
Abstracts across LLM providers and models. As the landscape evolves, the platform continuously re-benchmarks and shifts to the optimal configuration automatically.