Seeker screenshot

What is Seeker?

Seeker is a retrieval-augmented generation (RAG) chat platform that lets you ask questions about your own data and documents. Rather than relying on a general-purpose language model's training data, Seeker connects to your specific information sources, pulling relevant content to answer your questions accurately. This approach means you get answers grounded in your actual data, with full visibility into what sources the tool used. The platform is designed with security in mind and works across sectors including corporate, legal, medical, government, and academic environments. If you need to analyse large datasets or extract insights from documents without sending data to standard cloud AI services, Seeker offers a more controlled alternative.

Key Features

Retrieval-augmented generation

answers questions based on your uploaded documents and data rather than general training data

Source transparency

shows which documents and sections the tool used to generate each answer

Secure processing

designed for organisations that need to keep sensitive information within controlled environments

Multi-sector applicability

supports workflows across law, medicine, government, HR, maintenance training, and corporate settings

Freemium access

try the platform with limited features before upgrading

Pros & Cons

Advantages

  • Answers grounded in your actual data rather than potentially outdated or generic information
  • Clear visibility into sources means you can verify where answers come from
  • Suitable for regulated industries and organisations with strict data governance requirements

Limitations

  • Requires uploading or connecting your data sources, which adds setup overhead compared to general chatbots
  • Accuracy depends on the quality and organisation of your source documents
  • Limited information available about specific pricing for paid tiers

Use Cases

Legal teams analysing contracts and case documents to find relevant clauses and precedents

Medical professionals reviewing patient records and research papers for specific information

Corporate teams extracting insights from internal reports, policies, and historical data

Government agencies processing classified or sensitive documents securely

Academics analysing research papers and datasets for literature reviews