Custom LLM agents
Domain-specific assistants that answer using your data, follow your rules, and hand off to humans when needed.
Experts · AI Engineering
Custom AI, built by engineers who ship — not prompt jockeys.
When Growthzi's built-in AI hits its ceiling — you need a fine-tuned model, a RAG system on your private data, a custom agent, or a vision model — our engineering team ships it to production.
What we build
RAG on your knowledge base
Retrieval-augmented systems that pull from your docs, PDFs, tickets, or database — with fresh answers and cited sources you can verify.
Vision & OCR models
Computer vision for document parsing, product recognition, defect detection, and ID verification.
Fine-tuned models
Take an open model (Llama, Qwen, Mistral) and tune it on your data — cheaper and more private than API calls forever.
AI agents & plugins
WordPress plugins, browser extensions, Slack bots, and multi-step agents that automate workflows.
AI voice + phone
Voice agents for bookings, support, and outbound calls. Twilio + ElevenLabs + your custom logic.
Services & specialties
LLM stackClaude · GPT · Gemini · Llama · Qwen · Mistral
FrameworksLangChain · LlamaIndex · FastAPI · Anthropic SDK
Vision & CVPyTorch · TensorFlow · Ultralytics YOLO · Roboflow
Vector DBsPinecone · Weaviate · pgvector · Qdrant
Fine-tuning + hostingHuggingFace · Modal · RunPod · vLLM · self-hosted endpoints
Voice + audioElevenLabs · Twilio · Deepgram · Whisper
How we work
- 01
Feasibility scoping
Not every problem is an AI problem. First 30-minute call, we tell you honestly if it is or isn't.
- 02
Prototype in 2-3 weeks
Working prototype on real data — before you commit to production budget.
- 03
Evals + fine-tuning
We measure quality against your ground truth. No shipping models we can't defend.
- 04
Deploy + monitor
Production endpoints with rate limits, logging, cost dashboards, and a rollback plan.
Common questions
Prompting a public model gets you started; a production AI system needs your data, your controls, your monitoring, and often a fine-tuned model to be cheap enough at scale. That is what we build.
Prototypes start around $8-15k. Production systems are $25k-$100k+ depending on scope. Fine-tuning + hosting can be recurring $500-$5k/mo.
Two to three weeks for the prototype pass on your real data. Production systems land six to twelve weeks after prototype sign-off, depending on scope and integrations.
Yes. Full source code, model weights (where applicable), deployment scripts. You are never locked in.
Yes — self-hosted models, on-prem deployment, or region-locked endpoints. Nothing goes to public APIs without your explicit sign-off.
Have an AI problem worth solving?
The first call is free and honest. If AI is not the right solution, we will tell you.