Seeker
SEEKER is a retrieval-augmented generation (RAG) AI chat platform that securely extracts and analyzes information from large data sets. It is designed to provid...
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What is Seeker?
Seeker is an enterprise‑grade AI chat platform that lets organizations securely chat against their own documents and internal content instead of over‑the‑web models. Users upload files and folders, then ask natural‑language questions, and SEEKER returns answers that are fully traceable to specific pages, paragraphs, and documents in the source library. The system is built on a retrieval‑augmented generation (RAG) stack, with a focus on transparency, security, and verifiability for high‑stakes use cases.
Key features include drag‑and‑drop ingestion of unlimited files and folders, the ability to chat against all content at once or select only specific documents, and an ‘Explain’ and ‘Inspect’ view that shows source citations, highlighted passages, and relationship maps. SEEKER visualizes the most relevant terms, concepts, and connections within the search results, helping users spot patterns and hidden insights across large document collections. The interface is designed to be intuitive, so teams can move from raw documents to actionable outputs such as reports, briefs, proposals, or research summaries in minutes rather than days.
The tool is aimed at corporations, government agencies, law enforcement, academic institutions, medical and legal firms, HR departments, and other organizations that deal with sensitive or highly regulated content. It is especially useful for litigation support, contract and compliance work, patent and IP research, intelligence analysis, training materials, and internal knowledge management where data privacy and auditability are critical. SEEKER is hosted on a Tier III data center and is built to operate under strict security and privacy standards, including 800‑171 compliance and tight controls on data spillage.
SEEKER avoids sending entire files to general‑purpose LLMs by sharing only small, fragmented passages with the underlying models, which helps preserve confidentiality and maintain anonymity. The platform can scale to tens of millions of files, with some individual documents exceeding 50,000 pages, and it is engineered for high uptime and intensive risk mitigation in partnership with a third‑party vendor. This makes it suitable for large‑scale enterprise deployments where reliability, security, and traceability are non‑negotiable.
Who it is for includes legal teams needing fast case and contract research, compliance officers building audit‑ready reports, HR practitioners managing internal policies, academic and scientific researchers summarizing large paper libraries, government and intelligence staff processing classified or sensitive records, and corporate strategy teams turning internal reports into presentations or white papers. SEEKER is positioned as a secure, trustworthy alternative to public chatbots when organizations want to keep their data in‑house and demand full source‑verifiable answers.
Seeker pricing
Pricing model: Freemium
SEEKER does not list explicit dollar‑amount tiers or consumer‑style pricing on the public homepage; instead, it is described as an enterprise‑grade offering available to Scott Data clients, with access controlled via a limited waitlist and team accounts. The site emphasizes unlimited file ingestion and unlimited prompting within the platform, but formal free tier details and paid plan breakdowns are not published on the main page and must be obtained by requesting a demo or contacting the team through the GET STARTED form or direct email.
Seeker pros
- Drag‑and‑drop upload of unlimited files and folders
- Ability to chat against all content at once or select specific files
- Fully transparent responses with source citations and page references
- Explain and Inspect tabs showing exact paragraphs and document sources
- Ingests and searches tens of millions of documents at scale
- Supports very large individual files (over 50,000 pages)
- Reduces days‑long research tasks to seconds or minutes
- Helps generate white papers, essays, proposals, and reports from internal content
- Visualizes key terms, concepts, and relationships within search results
- Designed for frictionless, intuitive navigation and fast onboarding
- Built around strong data‑privacy and anti‑spillage protocols
- 800‑171 compliant security model for non‑federal systems
- Segmented ingestion that shares only fragments, not whole files, with AI models
- Hosted on a Tier III data center for high reliability and uptime
- Tight integration with Scott Data for enterprise‑grade deployment and support
Seeker cons
- Limited availability focus on Scott Data clients with a waitlist model
- No public self‑service free plan visible on the main site
- Requires coordination with a 3rd‑party vendor for some deployment aspects
- Enterprise‑oriented pricing and onboarding may be too heavy for small teams
- No clear low‑scale or solo‑user tier described on the homepage
- Potential complexity for users unfamiliar with strict compliance frameworks
- Reliance on a specific data‑center and hosting partner reduces flexibility
- Limited public documentation about API or advanced automation features
Frequently asked questions about Seeker
What is SEEKER and what does it do?
SEEKER is an AI‑powered chat platform that lets organizations securely query their own documents and internal content instead of relying only on public‑web models. Users upload files and folders, then ask questions in natural language and receive answers that are fully traceable to specific pages and paragraphs in the source library, with built‑in tools for transparency and verification.
How does SEEKER handle data security and privacy?
SEEKER is built to operate under strict security and privacy standards, including 800‑171 compliance for non‑federal systems and tight controls on data spillage. The platform shares only small, fragmented passages of files with the underlying AI models instead of sending entire documents, which helps preserve confidentiality and anonymity while still enabling rich search and analysis.
Can I use SEEKER if I am not a Scott Data client?
Public access to SEEKER is currently limited to Scott Data clients, with the platform being offered as a premium enterprise‑intelligence service. Organizations that are not yet clients can join a limited waitlist and request a demo to secure early access and explore deployment options with the SEEKER and Scott Data teams.
How many files can SEEKER handle?
SEEKER is designed to scale to tens of millions of files, with some individual documents exceeding 50,000 pages. There is no built‑in limit on how many files or folders users can ingest, and the system supports unlimited prompting against the ingested library once it is set up.
Does SEEKER show source citations for its answers?
Yes, SEEKER provides fully transparent responses that are 100% source‑verifiable. The Explain and Inspect tabs surface citations, highlight exact pages and paragraphs, and show which documents contributed to each part of the answer, so users can easily verify and audit the basis of the results.
What kind of outputs can I generate with SEEKER?
SEEKER can help generate white papers, essays, articles, proposals, reports, briefings, and other structured documents based on an organization’s internal content. Users can quickly turn large document collections into concise summaries, research overviews, compliance materials, or presentation‑ready content without manually sifting through every page.
How does SEEKER differ from generic chatbots like ChatGPT?
Unlike generic chatbots that primarily rely on public‑web training data, SEEKER is built to chat against an organization’s own content, with strong emphasis on security, compliance, and source verification. It also avoids sending full files to general‑purpose LLMs by only sharing fragmented passages, and it is hosted and governed under enterprise‑grade standards for data privacy and uptime.
What industries or use cases is SEEKER designed for?
SEEKER is tailored for corporations, government agencies, law enforcement, academia, medical and legal firms, HR departments, and other organizations that process sensitive or regulated content. Typical use cases include litigation support, contract and compliance work, patent and IP research, intelligence analysis, training materials, internal knowledge management, and strategic reporting.
How is SEEKER hosted and maintained?
SEEKER is hosted by Scott Data on a Tier III data center, which provides high‑availability infrastructure and strong uptime characteristics. The platform also works closely with a third‑party vendor to ensure near‑100% uptime and intensive risk mitigation, making it suitable for mission‑critical enterprise deployments.
Can small teams or individuals use SEEKER, or is it only for large enterprises?
SEEKER is primarily positioned as an enterprise‑grade solution for organizations, with access controlled through Scott Data and a waitlist model. While the technology can technically support smaller libraries, the deployment model, compliance requirements, and hosting structure are geared toward corporate and institutional clients rather than casual solo users or very small teams.