AI Solutions

AI solutions for real business problems

Every engagement starts with understanding your business problem. We build the right AI solution — whether that is automation, agents, an MVP or a data pipeline.

AI Agents

Autonomous agents that perceive, reason and act to complete complex goals without manual oversight.

The Problem

Your team spends hours on repetitive research, data gathering or decision-making that follows a pattern but varies enough that simple rule-based automation fails.

What we build

Sales research agents — find and qualify prospects automatically
Customer support agents — handle tier-1 queries, escalate complex ones
Data processing agents — extract, validate and route structured data
Competitor monitoring agents — track changes and alert on triggers

AI Automation

Automate repetitive workflows with AI — document generation, email processing, data pipelines and API integrations.

The Problem

Manual processes consuming hours each week: generating reports, processing emails, moving data between systems, sending notifications.

What we build

Document and PDF generation pipelines
Email workflow automation via Gmail/Outlook
Data sync between business systems via API
Webhook-triggered processing chains

AI MVP / SaaS

Turn your AI product idea into a working prototype or market-ready application — built in stages so you ship fast.

The Problem

You have an AI product idea but no technical team to build it, or a prototype that needs to become production-ready.

What we build

AI-powered web applications (Next.js + LLM integration)
Content generation tools and platforms
Report and analysis generation products
Vertical SaaS with AI as the core feature

AI Data Solutions

Extract intelligence from your business data — RAG pipelines, document analysis, semantic search and structured output.

The Problem

You have documents, databases or unstructured data that contains valuable information your team cannot access quickly enough.

What we build

RAG systems — query documents and data in natural language
Document analysis and extraction pipelines
Structured AI output from unstructured text
Knowledge base and Q&A systems

Questions about AI solutions

What is an AI agent?

An AI agent uses an LLM to perceive information, reason about it and take actions — searching the web, reading documents, calling APIs or writing data — to complete a goal. Unlike automation, agents handle unexpected inputs and make judgment calls.

How is AI automation different from regular automation?

Regular automation follows fixed rules: if X, then Y. AI automation handles variability — it can read and understand documents, extract meaning from unstructured text, and make decisions based on context rather than exact matches.

Which LLM do you use?

We design systems with a provider-agnostic AI gateway so you are not locked into one provider. We use Anthropic Claude and OpenAI models in production, selecting the right one based on your specific task requirements.

Are AI solutions GDPR compliant?

Yes. Every system includes GDPR compliance by design — data minimisation, consent management, secure storage, and no data sharing without Data Processing Agreements. We are ICO registered.