Applied AI engineering. Custom models, retrieval, and agents in days.
What this practice does
Retrieval-augmented generation, multi-agent orchestration, fine-tuned models, evaluation harnesses. Real production AI, not demos.
Capabilities
- RAG (Pinecone, Weaviate, pgvector)
- Multi-agent orchestration
- Fine-tuning + LoRA
- Evaluation harnesses
- Computer vision + OCR
- Claude, GPT, Llama, Mistral
Pricing
We quote from your scope.
No tier prices to anchor the conversation. Every quote is generated from your specific scope, the complexity drivers we detect, the references you provide, and the timeline you choose.
Quote my projectFor comparison
An Upwork freelancer would quote $800–$5k over 2–6 weeks for similar scope.
Zenith Build typically delivers in 48–72 hours at a meaningful fraction of that cost. Tell us your scope to see the exact number.
What ships
Deliverables.
- 01Trained or fine-tuned model
- 02RAG pipeline + vector index
- 03Production API endpoint
- 04Evaluation harness
What changes the price
Complexity drivers.
- Fine-tuning required+70%
- Multi-agent system+55%
- Custom vector retrieval+30%
- Production eval harness+25%
- Computer vision / OCR+40%
- On-device / edge inference+50%
These adjust transparently in your quote. We auto-detect them from your description, you can toggle them in the wizard.
Adjacent practices