Neumyth Corp engineers agentic AI systems, LLM infrastructure, and RAG pipelines for enterprises that demand more than a chatbot.
We design and deploy autonomous agent swarms that investigate, decide, and act without human-in-the-loop bottlenecks. From single agents to hierarchical orchestration.
We fine-tune foundation models on proprietary data and deploy them on cost-optimised inference infrastructure with intelligent routing across model tiers.
Production RAG systems with custom chunking strategies, embedding selection, hybrid retrieval, and measurable precision at enterprise scale.
Systematic prompt design, adversarial testing, and model-agnostic prompt libraries that hold up when underlying models update.
Multi-agent orchestration layers using MCP, LangGraph, and custom frameworks — connecting LLMs, tools, memory, and external APIs into coherent automated workflows.
We help leadership teams identify the highest-ROI AI bets, define build-vs-buy decisions, and structure internal AI capability roadmaps.
Every line of code, every prompt, every model config is yours on delivery.
No proprietary lock-in. We use Claude, Anthropic APIs, open-source frameworks, and AWS.
Secrets management, audit trails, data isolation, and OWASP review on every delivery.
We have a bias for working software over slide presentations.
"Neumyth shipped a production AI SOC orchestration platform in 8 months that our internal team couldn't have built in 2 years."
— CTO, Enterprise Cybersecurity Client
We take on a limited number of engagements per quarter. Let's talk before the next cohort closes.
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