Service
AI that runs inproduction,not just demos.
We embed large language models, vector search, and autonomous agents into your real business workflows — systems that reduce manual hours and improve decision speed.
Overview
Most AI projects fail at the handoff from proof-of-concept to production. We skip the demo phase entirely. ZimDevs designs and deploys AI integrations that run inside your real business stack — connected to your data, your workflows, and your users. LLM-powered document processing, RAG-based knowledge retrieval, semantic search across proprietary data, AI-driven customer communication, and autonomous agent pipelines that operate without human intervention. We work with OpenAI, Anthropic Claude, and open-source models depending on what your requirements actually call for.
What you get
Deliverables
Language models
- Prompt engineering & system design
- OpenAI GPT-4o / Anthropic Claude integration
- Fine-tuning on domain-specific data
- Structured output extraction
- Multi-turn conversation management
Retrieval & search
- RAG pipeline design and build
- Vector database (Pinecone, pgvector)
- Semantic document search
- Hybrid keyword + vector retrieval
- Knowledge base ingestion pipelines
Agents & automation
- Autonomous agent design
- Tool-use and function calling
- Multi-agent orchestration
- Human-in-the-loop review flows
- Observability and evaluation harness
How we work
The process
- 01
Use-case scoping
We identify the highest-value AI applications in your workflows — not what sounds impressive, but what reduces real manual hours and improves real decisions.
- 02
Data audit & pipeline design
We audit your existing data sources and design the ingestion, embedding, and retrieval architecture before writing any model integration code.
- 03
Build & evaluate
We build the AI pipeline with evaluation harnesses from day one. Every change is measured against quality baselines — not shipped until it actually performs.
- 04
Production deploy & monitoring
We deploy with cost tracking, latency monitoring, and fallback paths. AI in production needs observability — we build it in, not on.
Why ZimDevs
What sets us apart
- 01
Production, not demos
We do not build chatbot demos. We build AI pipelines that run in your production environment, connected to your real data, handling real business load.
- 02
Model-agnostic
We work with OpenAI, Anthropic, Mistral, and open-source models. We choose the model that actually fits your requirements — not the one that sounds most impressive.
- 03
Evaluation-first
Every AI system we build has an evaluation harness from the first sprint. You never ship an AI feature without knowing how it actually performs on your data.
- 04
Cost-conscious architecture
We architect for token efficiency and cache aggressively. AI costs compound quickly without discipline — we keep your inference costs rational from the start.
Technology
The stack
- OpenAI
- Anthropic Claude
- LangChain
- LlamaIndex
- Pinecone
- pgvector
- Supabase
- Python
- FastAPI
- n8n
- TypeScript
- Redis
Ready to get started?
48 hours to first deploy. 100% on deadline. No vendor lock-in.