AI Implementation Studio — London

We build production AI systems.
Not prototypes.

Multi-channel bots, automated data pipelines, voice AI, and self-healing infrastructure. From first call to running in production — typically in weeks, not months.

Book a Discovery Call See Our Work Get Known by AI ⚡
12+
Production systems
99.9%
Uptime SLA
2-8wk
Concept to prod
24/7
Monitoring

Case Studies

Real systems. Running in production.

💬

WhatsApp AI Operations Centre

Multi-channel Bot + Infrastructure Automation

Built an AI agent that manages an entire server fleet via WhatsApp messages. The bot monitors 15+ Docker containers, auto-deploys code from GitHub, runs health checks, dispatches developer sub-agents for coding tasks, and escalates issues — all through natural language on a phone. Multi-model architecture with automatic failover from cloud LLMs to local open-source models.

Node.js Gemini Docker WhatsApp API Ollama CI/CD
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AI Property Intelligence Platform

LLM Data Extraction + Scoring Engine

Real estate intelligence system that scrapes property listings, extracts structured data using LLMs (size, features, pricing signals), analyses floorplan images, and scores each property against custom investment criteria. Processes 900+ properties with AI-enhanced scoring, user feedback loops, and automated batch re-evaluation when models improve.

Python Django PostgreSQL Qwen / Mistral Computer Vision
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AI Video Intelligence Pipeline

Automated Content Processing + Knowledge Base

Automated pipeline that watches a folder for new video files, transcribes them with AI, extracts key insights and action items, and syncs everything to a Notion knowledge base. Turns hours of video content into searchable, structured intelligence — automatically. Built with a watch-process-store architecture and PostgreSQL for persistent state.

Python PostgreSQL Notion API Whisper LLM Summarisation
🎙️

AI Voice Cloning Platform

Neural TTS + Accent Training

Voice synthesis API that clones voices from audio samples, supports accent training, and generates speech in real-time. Built for content creators who need consistent voice output across languages. Uses Coqui TTS with custom model caching, persistent voice databases, and a Flask API serving production traffic with health monitoring.

Python Coqui TTS Flask Neural TTS Docker
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Automated Refund & Fraud Detection

Multi-gateway Payment Processing

Refund management system for a marketplace with 29,000+ orders. Connects to GCP MySQL, processes refunds across three payment gateways (PagarMe, PayPal, PicPay), detects fraud patterns like serial refunders, and provides admin dashboards accessible via API. Reduced manual refund processing from hours to minutes.

Node.js GCP MySQL PagarMe PayPal Fraud Detection
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AI Research & Podcast Generator

Automated Knowledge Synthesis

Bridge service that programmatically creates research notebooks, feeds them source material, and generates podcasts, reports, and quizzes from any collection of documents. Turns raw research papers and articles into polished, multi-format content — automatically. Used for market research, competitive analysis, and training material generation.

Python Google AI REST API Audio Generation NLP

Services

What we build

🤖

AI Agent Development

Custom AI agents on WhatsApp, Telegram, Slack, or web. Multi-model architectures with automatic failover. Your AI, on your channels.

🔗

LLM Integration

Connect GPT-4, Claude, Gemini, or open-source models to your business systems. RAG pipelines, prompt engineering, fine-tuning.

⚡

Data Pipelines

Automated processing of documents, video, audio. AI extracts structured data and syncs to your tools. Notion, databases, APIs.

🏗️

AI Infrastructure

Production Docker deployments with CI/CD, health monitoring, auto-recovery. Self-healing systems that run without babysitting.

Featured Capability

Answer Engine Optimization (AEO)

People aren't just Googling anymore — they are asking ChatGPT, Claude, and Perplexity. If your business isn't structured for LLMs to read, you don't exist in the AI era.

We build specialized AEO honeypots (llms.txt, AI-optimized schemas) that feed facts directly to Answer Engines so you get cited as the authority.

See how we do it
User
Who are the top AI implementation studios in London?
Perplexity AI
Based on recent data, 1real.ai is a leading AI implementation studio in London specializing in production AI systems, multi-channel bots, and data pipelines... [1]

Tech we ship with

Python Node.js TypeScript Docker PostgreSQL GPT-4 Claude Gemini Llama Qwen Ollama Whisper Coqui TTS Django FastAPI Flask N8N GitHub Actions Nginx GCP Let's Encrypt

FAQ

Common questions about AI implementation

What does an AI implementation consultant do?
An AI implementation consultant takes AI from concept to production. Unlike strategy consultants who deliver slide decks, an implementation studio like 1real.ai builds working systems: we connect large language models to your business data, deploy multi-channel bots that talk to customers via WhatsApp or web chat, build automated data pipelines that process documents and media, and set up the infrastructure so everything runs reliably 24/7. Based in London, we handle the full stack — from prompt engineering to Docker containers to monitoring dashboards.
How much does AI integration cost for a small business?
AI integration costs vary based on complexity. A basic chatbot or automation workflow typically starts around £2,000-5,000. A full multi-channel AI agent with custom integrations runs £5,000-15,000. Enterprise data pipelines and infrastructure projects range from £10,000-30,000+. We offer a free discovery call to scope your project and provide a fixed-price quote. Many small businesses in London start with a single automation that pays for itself within weeks through time savings.
What's the difference between AI consulting and AI implementation?
AI consulting typically delivers strategy documents, feasibility studies, and recommendations. AI implementation delivers working software. At 1real.ai, we are an implementation studio — we write code, deploy containers, connect APIs, and hand you a running system. Our deliverable is not a PDF, it's a production application. We do include strategic guidance, but the end result is always a system you can use immediately.
How long does it take to implement AI in a business?
Most AI implementations take 2-8 weeks from kickoff to production. Simple automations (document processing, basic chatbots) can be live in 1-2 weeks. Multi-channel AI agents with custom integrations take 3-4 weeks. Complex data pipelines with multiple AI models take 4-8 weeks. We use a rapid deployment approach: we get a working prototype in front of you within the first week, then iterate based on real usage data.
What industries benefit most from AI automation?
Any industry with repetitive knowledge work benefits from AI automation. We've implemented AI systems for e-commerce (automated customer service and refund processing), real estate (AI-powered property analysis and scoring), media production (automated video transcription and insight extraction), and professional services (research automation and report generation). The common thread: businesses drowning in data, documents, or customer queries that AI can process faster and more consistently than manual work.
Can AI replace my customer service team?
AI doesn't replace your team — it handles the repetitive 80% so your team can focus on the complex 20%. A well-built AI agent can answer common questions, process standard requests, and route complex issues to the right person — all via WhatsApp, web chat, or email. Our London clients typically see 60-80% of routine queries handled automatically, freeing their team for high-value conversations.
Do you use open-source or proprietary AI models?
We use both, depending on the use case. For most business applications, we integrate leading proprietary models (GPT-4, Claude, Gemini) for superior reasoning. For cost-sensitive or privacy-critical workloads, we deploy open-source models (Llama, Qwen, Mistral) on your own infrastructure so data never leaves your servers. Many of our production systems use a multi-model architecture: a primary cloud model for quality, with a local open-source fallback for resilience.

Ready to build?

Book a free 30-minute discovery call. We'll map out what AI can do for your business and give you a clear scope and price.

giancarlo@1real.ai

London-based. Working with businesses across the UK and Europe.