Advancing Agentic AI for the Modern Enterprise

Latest Research & Announcements

Operating at the intersection of academic AI research and enterprise utility.

Reducing Hallucinations in Multi-Agent SME Workflows

Neeru Labs Open-Sources 'SME-Instruct-7B' Model

The Economic Impact of Large Action Models (LAMs) in Retail

Via Advanced RAG, achieving 94% error reduction in supply chain decision-making. Published Oct 2026.

A domain-specific LLM fine-tuned for SME operational logic. Announced Sept 2026.

Demonstrating a 40% reduction in admin overhead across 50 retail enterprises. Case Study Aug 2026.

Applied AI Solutions

Cognitive Operations Agent

Built on Large Action Model (LAM) architecture to orchestrate multi-platform workflows via GUIs and APIs. Features zero-shot workflow adaptation, self-correcting execution paths, and cross-SaaS orchestration.

Predictive Resource Engine

Utilizes Multi-Agent Reinforcement Learning (MARL) to optimize inventory and financial allocations. Features stochastic supply chain modeling, real-time risk scoring, and automated procurement triggers.

Autonomous Support Infrastructure

Context-aware dense vector retrieval (RAG) providing grounded, hallucination-free support responses. Features dynamic context retrieval, policy alignment, and human-in-the-loop escalation.

Empirically Proven ROI

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