Data library
Internal knowledge bases for AI.
Quick answer
Yes, often. Internal knowledge bases — how-to articles, runbooks, policies and FAQs your team wrote — can be licensed when the company owns the content and removes confidential details. They are most valuable when paired with how the articles were actually used, such as support tickets that linked to them, because that shows AI how written guidance meets real work.
What's included#
- How-to articles and troubleshooting guides
- Runbooks and standard procedures
- Edit history and article versions
- Links between articles and the tickets that used them
Where it typically lives
How AI developers use it#
- Training AI assistants to answer questions from company guidance
- Evaluating whether AI follows a written procedure correctly
- Teaching models to keep answers grounded in sources
Preparation and privacy#
- Remove passwords, internal URLs and system addresses
- Remove client names and confidential pricing
- Drop pages copied from vendors or other publishers
What's usually left out#
- Third-party content you don't own (vendor manuals, paid courses)
- Security procedures your team chooses to hold back
- HR and legal policies with personal details
How it's packaged#
- Articles in clean text or Markdown with titles and categories
- Optional version history and article-to-ticket links
What makes it valuable#
- Articles that are current and actually used
- Version history showing how guidance changed
- Links to real work that used the article
Starting with a sample#
- A handful of cleaned articles from one space, approved by you
How SourceX approaches it#
Preparation requirements are agreed with you before any work begins, and the approved dataset is delivered only after an executed agreement and your explicit authorization of buyer access.
Industries with this data
Datasets built from this data
Dataset specs AI labs can request through SourceX, sourced to spec from businesses like yours.
- Documents and knowledgeEnterprise document archivesAn enterprise document dataset is an export of the files a company actually works from, such as reports, memos, proposals, policies, PDFs, spreadsheets and…Office documents and PDFsText
- Documents and knowledgeReal-world spreadsheets and financial modelsA spreadsheet dataset is a collection of real working files, such as budgets, forecasts, financial models and operational trackers, delivered with formulas,…Office documents and PDFsStructured records
- Documents and knowledgeBusiness presentation decksPresentation deck datasets are real slide files, such as proposals, pitches, board updates and training decks, delivered as editable files with layouts,…Office documents and PDFsImagesText
- Documents and knowledgeSOPs, playbooks and internal knowledge basesAn SOP dataset is a collection of a company's written procedures, such as standard operating procedures, checklists, playbooks, runbooks and knowledge-base…TextOffice documents and PDFs
- Documents and knowledgeApproved workplace email and chat exportsA workplace email and chat dataset is a collection of real work conversations from a company's own systems: email threads and chat channels with their reply…TextStructured records
Typical fields#
- Record ID (pseudonymous)
- Created and closed timestamps
- Category or type
- Request or input text
- Ordered steps or actions
- Outcome or resolution
- Role of each actor (not identity)
Sample record
Illustrative · fictional
- record_id
- rec_8f21c0
- created / closed
- 2023-04-11 → 2023-04-12
- category
- Billing question
- request
- Customer [NAME] asks why invoice [ID] was charged twice.
- steps
- 1. Checked payment log 2. Found duplicate 3. Issued refund
- outcome
- Resolved · refund issued
- actors
- customer, agent_tier1
What buyers look for#
- Complete start-to-finish records
- Consistent fields over years
- Clear, labeled outcomes
- Low duplication
- Work done by skilled professionals
- Edge cases and failures, not only successes
Personal details removed#
- Names
- Email addresses
- Phone numbers
- Postal addresses
- Account, customer and order numbers
- Government IDs
- Payment details
- Health information
- IP addresses and device IDs
- Credentials, keys and hostnames
How buyers test it#
- Sample review by buyer researchers
- Residual personal-data scan
- Duplicate and leakage check against public data
- Label and outcome accuracy spot-check
- Rights and consent documentation review
Rules that may apply
Federal Wiretap Act 18 U.S.C. 2511
Applies to recorded calls and intercepted communications; some states require all-party consent. Assessed deal by deal.
California Consumer Privacy Act Cal. Civ. Code 1798.100 et seq.
May apply where records include personal information of California residents and the business meets the law's thresholds. Assessed deal by deal.
Reviewer note: applicability is confirmed with counsel for each deal. Not legal advice.
All data types · Project records · Sales call transcripts · Source code
Frequently asked questions
Is a knowledge base valuable on its own?
It can be, but buyers usually value it more when it comes with the tickets or tasks that used it.
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