Transform your AI idea into a production-ready SaaS product. From fine-tuned LLMs and RAG pipelines to autonomous agents and deployed APIs — built by a London-based team with 6+ years of startup and ML experience.
I Will Build Custom AI Agents, RAGs and LLMs for Your SaaS
A complete, production-ready AI build covering the full development lifecycle for a focused, single-scope project.
- Research, data preprocessing and model creation
- Model validation, testing and performance monitoring
- Fine-tuning of your chosen LLM (LLaMA, Mistral, GPT-J, Gemma, etc.)
- Cloud deployment and API integration
- Full source code and model documentation included
- Progress calls and milestone updates throughout
A broader-scope build with extended delivery time, suited to more complex architectures such as RAG pipelines, agent systems or multi-integration SaaS features.
- Everything in Foundation, with expanded project scope
- RAG pipeline design: document ingestion, embeddings and vector DB setup
- LLM agent design with tool use, goal planning and multi-turn reasoning
- Voice or chat integration (e.g. Claude, GPT, ElevenLabs-compatible services)
- Cloud deployment, API integration and full source code
- Extended delivery window for more complex or data-heavy projects
A full end-to-end SaaS AI product build — from fine-tuned models and RAG pipelines to authenticated dashboards, monetisation-ready architecture and private or self-hosted deployment.
- Everything in Boost, with full SaaS product scope
- SaaS-ready product with authentication, dashboard and API layer
- Private or self-hosted deployment for security-conscious teams
- Monetisation-ready architecture designed with your go-to-market in mind
- Comprehensive model and system documentation for handover
- Priority scheduling and dedicated milestone review sessions
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Value Position
Build Type
LLM Support
Deployment Options
Best For
What You'll Receive
Full Description
Your AI idea deserves more than a prototype. Whether you are building an intelligent customer support bot, a document-search assistant, or a full SaaS product powered by a custom language model, this service takes you from concept to a cloud-deployed, API-integrated solution — with source code and documentation handed over at the end.
Based in London and backed by over 6 years of startup experience and more than 200 completed machine learning projects, Zinn Digital specialises in turning ambitious AI concepts into production-ready products that founders can actually ship, sell, and scale.
**What is included in every tier:**
Every engagement covers the full end-to-end build cycle: research and scoping, data preprocessing, model creation, validation and testing, performance monitoring, fine-tuning, cloud deployment, API integration, full source code, and model documentation. You receive a complete, working system — not a Jupyter notebook.
**Core capabilities on offer:**
- Custom fine-tuning of open-source LLMs including LLaMA, Mistral, GPT-J, and Gemma
- Retrieval-Augmented Generation (RAG) pipelines: document ingestion, embeddings, and vector database setup with Chroma, Weaviate, or Qdrant
- LLM Agent design: autonomous agents, tool use, goal planning, and multi-turn reasoning
- SaaS-ready AI products complete with authentication, dashboards, and APIs
- Voice and chat integrations using leading AI providers and text-to-speech services
- Private and self-hosted deployments for security-conscious teams
**How it works:**
Once your order is placed, a structured discovery call is scheduled to align on requirements, data sources, architecture, and timeline. Progress is shared at agreed milestones throughout delivery. Revisions are unlimited across all tiers, ensuring the final build meets your specification.
**Who this is for:**
This service is designed for startup founders building an AI-driven SaaS MVP, product teams adding intelligent features to an existing platform, and businesses that need a private, document-aware assistant or customer-facing chatbot. If you have an AI use case and need it built properly — with clean architecture, documented code, and a path to monetisation — this is the right engagement.
**Why Zinn Digital:**
With a track record of 200+ ML projects and a genuine focus on startup commercial realities, the work here is not just technically sound — it is built with sellable architecture and real-world deployment in mind. Every project is treated as a bespoke build, scoped and discussed before a single line of code is written.
Reach out via the order chat before purchasing if you would like to discuss your specific requirements first.
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Compare Packages
| Feature | Foundation | Boost | Premium |
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 30 days |
| Revisions | unlimited | unlimited | unlimited |
| Research, data preprocessing and model creation | ✓ | ✕ | ✕ |
| Model validation, testing and performance monitoring | ✓ | ✕ | ✕ |
| Fine-tuning of your chosen LLM (LLaMA, Mistral, GPT-J, Gemma, etc.) | ✓ | ✕ | ✕ |
| Cloud deployment and API integration | ✓ | ✕ | ✕ |
| Full source code and model documentation included | ✓ | ✕ | ✕ |
| Progress calls and milestone updates throughout | ✓ | ✕ | ✕ |
| Everything in Foundation, with expanded project scope | ✕ | ✓ | ✕ |
| RAG pipeline design: document ingestion, embeddings and vector DB setup | ✕ | ✓ | ✕ |
| LLM agent design with tool use, goal planning and multi-turn reasoning | ✕ | ✓ | ✕ |
| Voice or chat integration (e.g. Claude, GPT, ElevenLabs-compatible services) | ✕ | ✓ | ✕ |
| Cloud deployment, API integration and full source code | ✕ | ✓ | ✕ |
| Extended delivery window for more complex or data-heavy projects | ✕ | ✓ | ✕ |
| Everything in Boost, with full SaaS product scope | ✕ | ✕ | ✓ |
| SaaS-ready product with authentication, dashboard and API layer | ✕ | ✕ | ✓ |
| Private or self-hosted deployment for security-conscious teams | ✕ | ✕ | ✓ |
| Monetisation-ready architecture designed with your go-to-market in mind | ✕ | ✕ | ✓ |
| Comprehensive model and system documentation for handover | ✕ | ✕ | ✓ |
| Priority scheduling and dedicated milestone review sessions | ✕ | ✕ | ✓ |
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Examples of the seller's work related to this Zinn.
Build Custom AI Agents, RAGs and LLMs for Your SaaS
Build Custom AI Agents, RAGs and LLMs for Your SaaS
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Frequently Asked Questions
Yes, absolutely. Before any work begins, a structured discovery call is scheduled to understand your requirements, data sources, intended architecture, and goals. The build is scoped specifically to your project — nothing is templated or off-the-shelf.
At minimum, a clear description of what you want the AI to do, any existing data or documents you want the system to work with, and your preferred deployment environment (cloud provider, self-hosted, etc.). If you are unsure about any of these, that is fine — the discovery call is the right place to work through it.
Fine-tuning and deployment is supported for LLaMA, Mistral, GPT-J, Gemma, and similar open-source models. RAG pipelines can be built with Chroma, Weaviate, or Qdrant as the vector database. Voice and chat integrations are available using leading AI and text-to-speech providers. If you have a specific model or stack in mind, mention it during the discovery call.
It means that within the agreed project scope, you can request changes until you are satisfied with the output. Revisions are based on the original requirements defined at the start of the project. Changes that significantly expand the scope may require a separate discussion.
Yes. If you have a hard deadline, raise it in the order chat before or immediately after purchase. For time-critical projects, the expedited delivery add-on can reduce the turnaround, subject to availability and project complexity.
Yes. Every tier includes full source code and model documentation as standard deliverables. You will have complete ownership and understanding of what was built.
The Foundation tier suits a focused, single-scope build such as a fine-tuned chatbot or a straightforward API integration. The Boost tier is better suited to more complex work involving RAG pipelines, multi-tool agents, or layered integrations. The Premium tier is designed for full SaaS product builds that require authentication, dashboards, monetisation architecture, or self-hosted deployment. If you are unsure, use the order chat to describe your use case and a recommendation will be provided.
Yes. Private and self-hosted deployment is supported, particularly in the Premium tier. If data sovereignty or security compliance is a requirement, mention this during the discovery call so the architecture can be designed accordingly from the outset.
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