Custom AI Development
LLM integration, RAG pipelines, agentic workflows, and production ML — built for your product, not a generic demo.
Custom AI Development Services
Production-Ready AI, Not Just Prototypes
Agentic Academy Labs delivers custom AI development for startups and enterprises that need intelligent features in production — not slide-deck demos. We build LLM-powered assistants, retrieval-augmented generation (RAG) systems, agentic workflows, computer vision pipelines, and predictive models integrated into your existing product architecture.
Our engineers work with OpenAI, Anthropic, LangChain, Hugging Face, TensorFlow, and PyTorch. We select models and infrastructure based on your latency budget, data privacy requirements, and total cost of ownership — not vendor hype.
What We Build
Conversational AI grounded in your proprietary documents and databases. Multi-step agentic workflows that automate sales ops, customer support triage, and internal reporting. Fine-tuned models for domain-specific classification, extraction, and generation. Computer vision for quality inspection, document parsing, and visual search. MLOps pipelines with monitoring, versioning, and drift detection.
Every engagement includes evaluation frameworks so you can measure accuracy, hallucination rate, and user satisfaction before scaling traffic. We document prompt templates, retrieval strategies, and fallback behaviors for your team's long-term ownership.
Engagement Process
Discovery sprint (1–2 weeks): map data sources, define success metrics, identify compliance constraints. Prototype (2–4 weeks): ship a thin vertical slice with real data and user feedback loops. Production build (4–12 weeks): harden infrastructure, add admin tooling, deploy with observability.
Ready to start? Schedule a discovery call or explore our web and mobile development and cloud migration services for full-stack delivery.