AI & Product

AI Product Development — Built to Survive Real Users

For founders building AI-native products from scratch — not bolting an LLM call onto an existing app. We architect, ship, and scale RAG systems, agent platforms, vector-search backends, and multi-tenant AI SaaS. End-to-end.

Founder-led on every project. Senior engineers only. Transparent £20–35/hr.

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12 services Architecture-first Senior engineers £20–35/hr
All AI & Product

Pick the path. We architect the build

Every service below is shipped with the same standard: founder-led architecture, senior engineers, transparent pricing.

01

AI Solutions

Strategy and architecture for AI systems that ship to production. Not demos.

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02

AI Agents

Autonomous workflows that think, decide, execute. Reliable at scale.

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03

AI Automation

Eliminate manual work without losing human judgment at decision points.

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04

AI Chatbots

Context-aware conversations grounded in your knowledge base. No hallucinations.

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05

AI Integration

Embed LLMs and APIs into existing systems. No rebuild required.

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06

AI Product Dev

Full AI product builds. From prototype to scale, founder-led every step.

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07

AI Rescue

AI-tool projects gone sideways. We refactor and ship them properly.

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08

Custom SaaS

Purpose-built SaaS platforms. Designed to scale from day one.

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09

MVP Development

Validate in 8-12 weeks. Production-grade code, no shortcuts, no debt.

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10

Mobile Apps

Native iOS and Android. Sync with backend systems seamlessly.

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11

UX / UI Design

Design as a differentiator. Conversion-focused, engineered for code.

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12

Architecture

Backend systems built to scale. Launch day, peak load, growth to 10x.

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Next Step

Not sure which fits?

Tell us the outcome you need. We map the right service in 24 hours. No commitment.

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Related Reading

Learn more about AI systems that ship to production

AI Solutions

Strategy and architecture for AI systems that work reliably at scale.

Claude AI Integration

Anthropic's frontier model in production: RAG, fine-tuning, and system architecture.

LangChain & Agent Frameworks

Building reliable AI systems that extend beyond single API calls.

Rescuing AI-Generated Code

When Cursor, Bolt, or Claude Code output needs hardening for production.

Our Architecture-First Methodology

Why we design AI systems before we build them.
Questions

AI Product Development — FAQ

Quick answers about AI product development services, costs, timelines, and where we work.

What is AI product development?
End-to-end engineering of AI-native products — built around AI from the start, not an LLM bolted onto an existing app. It covers architecture, RAG, vector databases, AI agents, and multi-tenant AI SaaS through to production.
What does an AI product development company build?
RAG systems, AI agent platforms, vector-search backends, LLM workflows, and multi-tenant AI SaaS — all founder-led, with senior engineers and architecture-first delivery.
How much does custom AI product development cost?
Transparent £20-35/hr with senior engineers only. We scope by outcome and give you a fixed estimate — no junior markup, no hidden complexity.
How long does AI MVP development take?
A typical AI MVP ships in 8-12 weeks with a dedicated senior team — production-grade code you can scale, not a throwaway prototype.
What is RAG product development?
Retrieval-augmented generation that grounds LLM answers in your own data — vector databases, embeddings, retrieval, and evaluation — so the product answers accurately instead of hallucinating.
Do you offer AI product development in London and the UK?
Yes. Empyreal runs a London office in Wembley (HA9 6PX) and partners with founders across the UK — plus the US, Canada, Australia, and India. Delivery is remote with founder-led oversight and UK-friendly hours.
What industries benefit from AI product development?
Data- and decision-heavy industries gain the most — fintech, healthtech, proptech, edtech, e-commerce, SaaS, logistics, and legaltech. Any product that grounds decisions in data, automates judgment, or answers from a knowledge base is a strong fit.
What technologies do you use for AI product development?
Python, Node.js, and TypeScript on React and Next.js; LangChain for orchestration; vector databases like pgvector and Pinecone; and OpenAI, Anthropic Claude, and Google Gemini models — deployed on AWS, Supabase, or Firebase.
Can you build AI products using OpenAI, Claude, and Gemini?
Yes. We build production AI products on OpenAI (GPT), Anthropic Claude, and Google Gemini, and stay model-agnostic — choosing or combining providers by accuracy, cost, latency, and data-privacy needs, so you can switch models without a rebuild.
Why choose Empyreal as your AI product development agency?
Architecture-first, founder-led review on every project, senior engineers only, and transparent £20-35/hr pricing. 200+ projects shipped, 7+ funded startups, and a 5.0 rating across 22 Google reviews.