← Back to the pantry

The Ingredients / AI and Data Analysis Solutions

AI and Data Analysis Solutions

Popular

Practical AI integrations and data pipelines that add measurable value to your product and operations.

Start a conversation

We build AI features that solve specific problems: content generation pipelines, RAG systems using vector databases like Pinecone and Weaviate, OpenAI and Anthropic API integrations, and data analysis tools.

We focus on pragmatic AI, not hype. If AI can improve your product or workflow, we build it properly and make sure it holds up in production.


  • Working RAG pipeline with semantic search
  • AI-powered content generation or summarisation feature
  • Vector database integration (Pinecone, Weaviate)
  • OpenAI or Anthropic API integration with proper error handling
  • RAG system with document ingestion and retrieval
  • AI chat or assistant interface
  • Automated data extraction and analysis pipeline
  • Embeddings-based recommendation or search feature

Product teams wanting to add AI capabilities to an existing application, or businesses looking to automate content, analysis, or decision-support workflows.



Frequently Asked Questions

What can AI realistically do for my business?

Practical things that save time or add value: content generation, semantic search, answering questions over your own documents, data extraction, and decision support. We focus on AI that earns its place, not hype.

What is a RAG system and do I need one?

RAG (retrieval-augmented generation) lets an AI answer using your own documents and data rather than guessing. It is the right fit when you want accurate, grounded answers from a knowledge base, support content, or internal records.

Which AI providers and tools do you work with?

We build on the OpenAI and Anthropic Claude APIs, with vector databases like Pinecone and Weaviate for retrieval. We add failover and proper error handling so features hold up in production.

Can you add AI to my existing product?

Yes. In most cases we can integrate AI features into your current application without a rebuild.

How do you manage AI accuracy and running costs?

We add guardrails, failover between providers, and monitoring so quality stays high and token costs stay predictable.

Ready to use this ingredient?

Tell us about your project and we will put the right mix together.

Start a conversation