Seeker

What is Seeker?

Seeker is a retrieval-augmented generation (RAG) chat platform that answers questions about your own files and cites the exact page and paragraph behind each answer. It is built by SavantX and sold at seekerchat.ai.

The product follows a three-step flow on its homepage. You upload files or folders, chat against specific documents or all of them, then review the source citations and the relationships Seeker finds between terms. Answers stay tied to your content rather than to general web knowledge, which is the main reason teams use RAG tools.

SavantX describes itself as a quantum computing and AI company founded in 2015. Its site calls Seeker a ChatGPT for private content and lists a second product, HONE, for supply chain optimisation. The name causes confusion, because several unrelated AI tools also use Seeker, so this review covers only the SavantX product that Futurepedia links to.

Key Features

Citations at page and paragraph level are Seeker’s core feature, because they let you verify every answer against the original document within seconds.

• Source-verifiable answers: Every reply comes with citations that highlight the exact page and paragraph used. The official site describes responses as fully source-verifiable, so you can open the original passage instead of trusting a summary.
• Bulk file upload: You drag and drop whole folders as well as single files into Seeker. The site says there is no practical limit, citing deployments against tens of millions of files and some documents over 50,000 pages.
• Chat across chosen files: You can question one document, a selected group or the entire library at once. This suits comparing contracts, reports or research papers without opening each file in turn.
• Relationship visualisation: Seeker displays key terms, concepts and the links between them for the material behind an answer. It helps you spot connections that a plain text reply might hide inside a long document set.
• Explain and Inspect tabs: Two tabs let you dig further into a response, one to explain it and one to inspect the sources. The official page presents them as the route to deeper analysis after the first answer.
• Searchable libraries: You can build libraries of e-books, documents, notes, emails and scanned material. Students and researchers use these as personal reference collections that stay searchable through the same chat interface.

Pros

Auditable answers are why regulated teams consider Seeker, since every claim points back to a highlighted passage in the source file.

• Answers you can audit: Page and paragraph highlights make it quick to check each claim. Legal, research and compliance teams gain most, because they must show where a statement came from.
• Security-first design: The site claims 800-171 compliance, HTTPS in transit and at-rest encryption in client Azure accounts. That is a stronger posture than many consumer document chat tools describe publicly.
• Large document capacity: SavantX reports deployments across tens of millions of files. Organisations with big archives can load material in bulk rather than splitting it into small uploads.
• Low reported entry price: Futurepedia lists a free tier of 500 pages and a Personal plan at $7.99 a month. Capterra also gives $7.99 as the starting price, so individuals can trial it cheaply.
• Defence and enterprise background: SavantX names customers such as the Air Force, AFRL and PG&E on its site. That track record suggests real experience with sensitive, high-volume data work in regulated settings.

Cons

Opaque pricing is the first hurdle, because seekerchat.ai did not show plans and every figure we found came from directory listings.

• Pricing not shown officially: We could not read a price list on seekerchat.ai, so plan figures come from directories. Confirm current page limits and costs with SavantX before you commit a team.
• Confusing name: Several unrelated products use the Seeker name, including a job search tool at seeker-ai.com. Searching for help or reviews can surface the wrong product, so check the domain.
• Thin public documentation: The homepage explains the workflow but we found no detailed help centre or API reference. Teams planning an integration will need to talk to the vendor first.
• Page-based limits: Reported plans cap usage by pages, from 500 free to 100,000 on the Team plan. Large scanned archives could reach those limits faster than you expect.
• Few independent reviews: Capterra showed no user reviews, and the There’s An AI For That slug did not return a Seeker listing. You have little outside evidence about day-to-day reliability.

Who is Using Seeker?

Legal, defence and research teams with large private document sets are Seeker’s core users, according to the use cases SavantX lists.

• Legal teams: Lawyers and paralegals use it for litigation support, contract drafting and case research. Cited answers help them trace each point to a document.
• Intelligence and defence analysts: Analysts load large report sets and question them in plain language. SavantX lists defence agencies among its customers.
• Researchers and students: Researchers build libraries of papers and notes, while students create study collections. Citations make it easier to reference the original source.
• HR and compliance staff: Policy and compliance teams query handbooks, procedures and training material. They use it to answer staff questions consistently and quickly.

Pricing

Seeker appears to be freemium, with a 500-page free tier and paid plans from $7.99 a month (Futurepedia listing, reported October 2026).

Capterra agrees on a $7.99 starting price and mentions a free trial, but we could not read pricing on seekerchat.ai itself.

Disclaimer: these figures are reported by third parties, so confirm the live plans with SavantX, especially for team or on-premise deals.

What Makes Seeker Unique?

Security credentials set Seeker apart from most document chat apps. SavantX claims 800-171 compliance, encryption at rest in the client’s own Azure account, and a design that shares file fragments rather than whole files with the model.

The relationship view is the second difference. Rather than returning only text, Seeker maps the terms and concepts connected to an answer, which helps analysts see patterns across thousands of documents.

Compatibilities and Integrations

Azure underpins Seeker’s storage, with data encrypted at rest in client Azure accounts according to the official site.

• Platforms: Seeker works through a web interface. Capterra also lists desktop, on-premise and Chromebook deployment, which we could not confirm on the official site.
• File types: The site mentions e-books, documents, notes, emails and scanned material. Test your own formats on the free tier first.
• Models: Futurepedia reports GPT-4 access on the Professional plan. The official homepage did not name the underlying models.
• API: Capterra lists API access among the features. Ask SavantX for documentation before planning any automated workflow.

Seeker Tutorials

A first cited answer takes only a few minutes once your files are uploaded, following the steps below.

1. Go to seekerchat.ai and check you are on the SavantX product, not a similarly named tool.
2. Create an account on the free tier and note your page allowance.
3. Drag a folder or a set of files into the upload area.
4. Ask a question against one file, a selection or the whole library.
5. Open the citations to read the highlighted page and paragraph behind each answer.
6. Use the Explain and Inspect tabs and the relationship view to explore further.

How We Rated It

Seeker scores 3.7 out of 5, helped by verifiable citations and strong security claims but held back by unconfirmed pricing and thin documentation.

Summary

Seeker suits legal, research and defence-adjacent teams that need to question large private document sets and prove where each answer came from. Its main limitation is transparency about itself, since pricing and documentation are not clearly published on the official site. The shared name also causes confusion with job search and chatbot tools. We rate it well for citations and security, and more cautiously on support. Before buying, load a representative sample of your own files on the free tier and check the citations against the originals.