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Frontier AI Research

Advancing Agentic AI for the Modern Enterprise

Neeru AI Labs publishes peer-reviewed architectures and compiles them into production-ready, open-source code for SMEs.

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Peer-Reviewed

Latest Research & Publications

Our work covers RAG hallucination reduction, context engineering, and Large Action Models for enterprise utility.

Reducing Hallucinations in Multi-Agent SME Workflows

Context Engineering Patterns for Reliable Agentic AI

Large Action Models for Cross-Platform GUI Automation

Achieved 94% error reduction in cascading agent pipelines via a three-tier verification architecture.

Eight context engineering patterns for managing agent working memory within token budgets.

NeeruLAM architecture for operating across Windows, web, and mobile GUIs with 91.3% accuracy.

Open-Source Innovation

SME-Instruct-7B: Quantized Models for Enterprise Edge

Access our fine-tuned, domain-specific SLM, matching 70B models at 0.3% cost for SME operational logic.

Empirically Proven

Rigorous Performance Benchmarks

94%

Error Reduction

87%

Reasoning Accuracy

73%

Integration Effort

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Access Our Open-Source Repository

Download model weights, explore code, and contribute to the future of agentic AI.