Intelligent Software That
Works While You Sleep

We build custom AI integrations that automate workflows, enhance products, and unlock new revenue streams. Whether you need an LLM-powered chatbot, a RAG knowledge system, or a full ML pipeline — we deliver production-ready AI that actually works.

60%Avg. Workflow Automation
10xFaster Data Processing
20+AI Projects Delivered
Active
Accuracy
96.8%
Response
<1.2s
Model Accuracy96.8%
Automation Rate84%
Cost Reduction60%
GPT-4ClaudeLangChainPythonFastAPI

Everything included in our AI Development

A complete ai development service from discovery to deployment and beyond.

LLM Integration

Integrate GPT-4, Claude, Gemini, or open-source models (Llama, Mistral) directly into your product or workflow.

RAG Systems

Retrieval-Augmented Generation systems that answer questions from your own documents, databases, or knowledge bases.

AI Chatbots

Custom chatbots for customer support, sales, onboarding, and internal knowledge — trained on your specific data.

ML Pipelines

End-to-end machine learning pipelines for classification, prediction, anomaly detection, and recommendation engines.

AI Automation

Automate repetitive tasks — document processing, email triage, data extraction, report generation — with AI agents.

AI API Development

Production-ready APIs that wrap your AI models, handle prompt management, rate limiting, caching, and monitoring.

Our Tech Stack

We use industry-leading, battle-tested tools — chosen for performance, scalability, and longevity.

🧠
GPT-4 / GPT-4o
LLM
🤖
Claude 3.5
LLM
🦜
LangChain
AI Framework
🐍
Python
Language
FastAPI
API Framework
🔍
Pinecone / PGvector
Vector DB
📊
Pandas / NumPy
Data Science
🔥
PyTorch
ML Framework

Our Process

A clear, collaborative process with regular check-ins so you always know where your project stands.

Start a Project
01

AI Discovery Workshop

We identify the highest-impact AI opportunities in your business — automation wins, data assets, and which models fit your use case and budget.

Use Case AnalysisROI EstimateData Audit
02

Proof of Concept

Before full build, we build a rapid PoC to validate accuracy, cost, and feasibility. This de-risks the project and gives you confidence before committing.

PoCAccuracy TestingCost Modelling
03

Model Selection & Tuning

We select the right model (GPT-4, Claude, fine-tuned open-source) and optimise prompts, context windows, and retrieval strategies.

Prompt EngineeringRAGFine-Tuning
04

Integration & API Build

Production-ready API with authentication, rate limiting, response streaming, cost tracking, and full monitoring — not just a demo.

FastAPIStreamingMonitoring
05

Deploy & Iterate

We deploy to your infrastructure, monitor model performance, and continuously improve accuracy based on real-world usage and feedback.

AWS / GCPLoggingA/B Testing

Transparent Packages

Fixed-price packages for predictable budgets. Custom quotes available for larger projects.

AI Integration

Add AI to your existing product

From £3,000
Fixed scope · 3–5 weeks
  • Single LLM integration (GPT-4 or Claude)
  • Prompt engineering & optimisation
  • REST API endpoint
  • Basic RAG (up to 100 docs)
  • Cost monitoring dashboard
  • 30-day support
Get Started

ML Pipeline

Custom machine learning solution

From £15,000
Custom scope · 3–6 months
  • Custom model training / fine-tuning
  • Data pipeline & preprocessing
  • Model evaluation framework
  • Production inference API
  • Monitoring & retraining system
  • Full documentation
  • 3-month support
Get Started

All prices are starting from. Final quotes depend on project complexity. VAT may apply.

Common Questions

Can't find your answer? We're happy to chat.

Ask Us Anything
Do I need my own data to use AI?
Not always. For general chatbots or assistants, pre-trained LLMs work great. For domain-specific accuracy (answering questions about your products/docs), we build a RAG system using your data without any model training required.
How much does it cost to run an AI feature in production?
API costs depend on usage. For example, GPT-4o costs ~$0.01–0.03 per 1,000 tokens. We help you architect cost-efficient solutions with caching, smart routing, and the right model for each task.
Can you fine-tune a model on our data?
Yes, though fine-tuning is only necessary in specific cases. We first evaluate whether prompt engineering + RAG achieves your accuracy goals (usually it does) before recommending the more expensive fine-tuning route.
Is our data safe with third-party AI APIs?
OpenAI, Anthropic, and Google all offer enterprise tiers with no data training on your inputs. For maximum privacy, we can deploy open-source models (Llama, Mistral) on your own infrastructure.
What problems is AI actually good at solving?
High-impact use cases: customer support automation, document Q&A, content generation, data extraction from unstructured text, code review, email triage, and recommendation systems.
How long until we see ROI?
Most of our clients see positive ROI within 3–6 months. Chatbots reducing support tickets and automation replacing manual data tasks are typically the fastest to show measurable return.

Ready to build something
extraordinary?

Let's discuss your project. Binary Scripters will turn your vision into a polished, high-performance digital product your users will love.