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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.
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.jsGeminiDockerWhatsApp APIOllamaCI/CD
🏠
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.
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.
Self-hosted speech synthesis service that a client runs inside their own product. We built and operate the infrastructure: a Flask API serving neural TTS in real time, custom model caching, a persistent model store, accent-training pipelines, Dockerised deploys and health monitoring. The client owns the models and everything the service outputs.
PythonCoqui TTSFlaskNeural TTSDocker
💳
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.jsGCP MySQLPagarMePayPalFraud Detection
📚
AI Research Synthesis Pipeline
Automated Knowledge Synthesis
Bridge service that programmatically creates research notebooks, feeds them source material, and generates structured reports, summaries and quizzes from any collection of documents. Turns raw papers and articles into briefing material automatically. Used for market research, competitive analysis and internal training material.
PythonGoogle AIREST APIDocument ParsingNLP
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.
Pricing
Products and pricing
Every project gets a written scope and a fixed price before we start. No hourly billing.
⚡
AEO Scan
Free
✓ See how ChatGPT, Claude and Perplexity read your site
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.
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]
Product
AEO Audit plans
Start with a free scan, then buy the audit that fixes what the scan found. Keep it as a subscription and we re-run it, watch your position and tell you when it drops.
AEO Essential
One site, from diagnosis to code.
$199
one-time
✓ Full audit of one site
✓ Action plan ranked by impact
✓ Ready-to-inject JSON-LD
✓ Custom llms.txt directives
✓ Automatic re-audit and an alert when you drop
Most chosen
AEO Pro
Key pages and competitors side by side.
$499
one-time
✓ Up to 5 key pages
✓ 3 competitors compared
✓ The prompts that lead to your market
✓ Fixes prioritised by impact
✓ Weekly position report
AEO Scale
Large site, with our team hands-on.
$899
one-time
✓ Up to 20 pages
✓ 10 competitors compared
✓ Implementation with our team
✓ Priority support queue
✓ Monthly call to read the numbers
Invoiced by 1REAL LTD (Companies House 17124025). Card payment; subscriptions cancel any time and the yearly plan is billed once a year. Need something outside these tiers? Talk to us. Prices in Brazilian reais at 1real.ai/br.
Our team has shipped for Latin America's largest private bank, Brazil's leading credit bureau, a federal bank and a global fintech — from mainframe and core banking to cloud, credit scoring and card issuing. Hover a company to fly there.
UFG
Universidade Federal de Goiás · Jataí, BR · 2012–13
Public-sector IT: campus network infrastructure and IT service management (GLPI).
CAIXA
Caixa Econômica Federal · Goiânia, BR · 2015
Federal banking systems in Java, infrastructure monitoring (Zabbix), PostgreSQL.
Serasa Experian
São Paulo, BR · 2016
Credit bureau: credit scoring and financial data products, e-commerce platforms (Java/C#).
Itaú Unibanco
São Paulo, BR · 2017–19
Digital transformation: first cloud migration, mainframe-to-backend modernization, next-generation mobile banking experience, agile at scale, DevSecOps.
Moniepoint
London, UK · 2024–now
Global fintech: card issuing, fraud-prevention APIs, PCI DSS and FCA-regulated payments.
About
About 1real.ai
A small AI implementation studio. We build AI systems that run in production, not slide decks.
The founding team
1real.ai is run by its founding team: engineering leadership with 10 years building payment, fraud and banking systems in London and São Paulo, including Itaú Unibanco and TownSq, and the former CTO of 1Recado, where the systems shown above run today.
The company
1REAL LTD, registered in England and Wales (Companies House 17124025), based in London. In Brazil we operate through 1REC LTDA (CNPJ 34.424.334/0001-04). We work directly with founders and operators, from first call to a system running in production.
Clients
1Recado (Brazil): personalised celebrity video marketplace. We built and run its WhatsApp AI operations centre, refund and fraud detection, video processing pipeline and cloud infrastructure. More client references available on request.
What we will run on Azure
✓ AI agents for customer support and operations (Azure OpenAI)
✓ LLM pipelines: RAG, document and video processing
✓ The AEO Scan product and its crawlers
✓ Data pipelines and analytics for client projects
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.
UFGUniversidade Federal de Goiás · Jataí, BR · 2012–13Public-sector IT: campus network infrastructure and IT service management (GLPI).
CAIXACaixa Econômica Federal · Goiânia, BR · 2015Federal banking systems in Java, infrastructure monitoring (Zabbix), PostgreSQL.
Serasa ExperianSão Paulo, BR · 2016Credit bureau: credit scoring and financial data products, e-commerce platforms (Java/C#).
Itaú UnibancoSão Paulo, BR · 2017–19Digital transformation: first cloud migration, mainframe-to-backend modernization, next-generation mobile banking experience, agile at scale, DevSecOps.
MoniepointLondon, UK · 2024–nowGlobal fintech: card issuing, fraud-prevention APIs, PCI DSS and FCA-regulated payments.