Custom AI Models

Every business has data nobody else has, and that data is the moat. We help you turn it into a working AI system — whether that's a vision model classifying defects, a fine-tuned LLM that speaks your domain, an agent that takes multi-step actions on your behalf, or a bot living inside Slack, WhatsApp, or your own product.

We work across four product shapes:

Pretrained models, applied well — We integrate Claude, GPT, Gemini, and open foundation models (Qwen, Llama, Mistral) into your product with the prompting, retrieval, guardrails, evals, and monitoring needed to make them reliable.

Custom models, trained on your data — When pretrained isn't enough, we train. CNN vision classifiers, object detectors, segmentation models, fine-tuned LLMs (LoRA, full fine-tune, instruction tuning), similarity search engines, recommendation systems — built on your dataset, deployed to your infrastructure.

Autonomous agents — Multi-step reasoning systems that plan, call tools, browse, write code, and execute workflows. Built with explicit guardrails, retry/fallback logic, and observability so they don't go off the rails in production.

Chat bots and conversational interfaces — Slack bots, WhatsApp bots, in-app chat widgets, voice interfaces. Grounded in your knowledge base, integrated with your tools, and tested against real conversation transcripts.

Recent production work includes a CNN vision classification system handling thousands of labeled domain-specific images with daily auto-retraining on dedicated GPU infrastructure, and a self-hosted open-source LLM deployment with vision input — both serving live end users in production.