AI/ML Integration & Agentic Systems
Supercharge B2B software with intelligent, self-directed agents.
Overview
From custom Large Language Model (LLM) fine-tuning and Retrieval-Augmented Generation (RAG) pipelines to multi-agent autonomous loops, we build intelligent automations that act as senior team players.
Core Engineering Modules
Autonomous AI Agents
Multi-agent systems built with CrewAI and LangGraph that execute complex research, categorization, and coding loops.
Custom RAG Pipelines
Retrieval networks with advanced vector search (Pinecone) to search enterprise documents with zero model hallucinations.
Model Fine-Tuning
Fine-tune open-source models (Llama, Mistral) on proprietary datasets for niche domain tasks.
Related work & insights
Frequently Asked Questions
How do you protect private company data when using LLMs?
We enforce secure private VPC routing, local LLM configurations (using Ollama), and strict zero-data-retention APIs to keep your IP fully isolated.
What agentic frameworks do you recommend?
We rely heavily on LangGraph for stateful multi-agent graphs, CrewAI for role-playing systems, and custom event loops for raw performance.
How long does a typical AI/ML integration project take?
Most AI/ML integration engagements at Axrio Labs take 6 to 10 weeks, depending on scope. We confirm a delivery plan after a scoping call.
Which technologies do you use for AI/ML integration development?
Our typical stack for this service is Python, OpenAI API, Anthropic, LangChain, LangGraph, LlamaIndex, CrewAI and Ollama. We choose the final stack based on your existing systems and requirements.
Request Strategy Scoping
Bypass generic reviews. Talk requirements directly with system creators.
Start scoping briefing