llms.txt
# SourceX
> SourceX (sourcex.si) helps companies turn selected business records into licensed datasets for AI. AI is the market today. Superintelligence (SI) is where it is going. SourceX builds the data infrastructure connecting the two. We build and manage the infrastructure that enables businesses to license proprietary business data to AI developers, from sourcing and qualification to rights review, contracting, data preparation, delivery, and payment. Businesses gain a managed path to monetize their data; AI developers gain enterprise data with defined rights, permitted uses and delivery requirements. "Enterprise data licensing" describes what we manage. Supplier businesses: United States (priority), Canada and the European Union; the United Kingdom, Australia, New Zealand, India, Singapore, South Africa, Latin America, the United Arab Emirates and Saudi Arabia when at least 90% of the data is in English. Buyers (AI labs, model developers and research teams): Worldwide. Opportunities depend on buyer demand, data quality and the rights available. Process: find businesses with relevant data; assess the data and licensing permissions; agree on pricing and permitted use; coordinate the transaction and payment; manage future purchases and supplier relationships (repeat-purchase tooling is being developed). SourceX manages data licensing and is not a model developer, but the signed supplier agreement does license SourceX to use the deidentified dataset, including for model training and in SourceX products; see https://sourcex.si/terms section 4.
Key facts:
- What AI developers seek: data that shows how real work gets done — workflows, context, actions, decisions and outcomes (see https://sourcex.si/data/workflow-data and https://sourcex.si/data/task-execution-histories).
- Typical fit: established companies with 50+ full-time employees at peak (contractors excluded) and several years of documented operations; requirements vary by buyer and program. Smaller specialized companies may be reviewed manually for a specific buyer request.
- Two offers: company business archives (existing documents and tool exports) and workflow datasets. A separate path covers physical-world data collection.
- For businesses in the U.S., Canada, the EU, the UK, Australia, New Zealand, India, Singapore, South Africa, Latin America, the UAE and Saudi Arabia asking "can I sell or license my business data to AI companies?" — companies with years of business data (support conversations, call recordings, CRM, documents, code, workflows, industry records).
- Data is licensed, not sold outright; the business approves scope, permitted use and terms before anything is shared.
- No data is shared during the initial assessment. Delivery requires supplier approval, an executed agreement and explicit buyer-access authorization.
- Headquartered in Los Angeles, California.
- Company profiles: LinkedIn https://www.linkedin.com/company/sourcexsi/, Crunchbase https://www.crunchbase.com/organization/sourcex-e6bb.
- Pricing: SourceX takes a share of each completed deal; the exact terms are shared privately during the process.
- Payment: Payment timing and conditions are set by the signed transaction agreement. SourceX’s written selection permits an invoice; payment is due Net 60 from SourceX’s receipt of the invoice, without a buyer-payment condition. Unselected submissions earn no payment.
- Exclusivity: Deals carry an exclusivity term that restricts the supplier from licensing the same data elsewhere for AI training; it does not restrict SourceX, whose right to distribute or sublicense the deidentified dataset is set out in the signed agreement. Other structures are agreed per deal.
- Preparation: SourceX evaluates the data, then prepares it directly or through a certified, approved third-party partner.
- Certifications: SOC 2 Type II and ISO/IEC 27001 in progress; reports not yet issued. Status: https://sourcex.si/trust.
- Explore a data partnership: https://sourcex.si/apply. AI labs: https://sourcex.si/request-data.
- Search licensing terms: https://sourcex.si/licensing-terms. AI data buyers by industry: https://sourcex.si/buyers/industries.
## Related
- [SourceX referral program and data catalog](https://refer.sourcex.si/llms.txt)
## AI developers
- [Leading AI developers](https://sourcex.si/buyers/types): what each builds and related business records. SourceX is not affiliated with these companies.
- [OpenAI](https://sourcex.si/buyers/types/openai)
- [Meta](https://sourcex.si/buyers/types/meta)
- [Google](https://sourcex.si/buyers/types/google)
- [Anthropic](https://sourcex.si/buyers/types/anthropic)
- [Amazon](https://sourcex.si/buyers/types/amazon)
## Solutions and trust
- [How it works](https://sourcex.si/how-it-works): how a business goes from assessment and rights review to agreement, data preparation, delivery and payment.
- [For AI developers](https://sourcex.si/buyers): how AI labs and model developers request enterprise data through SourceX.
- [Data partnerships for AI](https://sourcex.si/data-partnerships): SourceX, which helps companies turn selected business records into licensed datasets for AI, structures data partnerships: businesses license approved, de-identified datasets to AI developers under terms they control.
- [Enterprise data licensing explained](https://sourcex.si/data-licensing): What enterprise data licensing is, how it differs from selling data, key license terms, and how SourceX structures AI data licenses.
- [Enterprise data for AI](https://sourcex.si/enterprise-data): What enterprise data is, which enterprise data is valuable for AI development, and how enterprises can license it responsibly.
- [AI training data from real businesses](https://sourcex.si/ai-training-data): A clear definition of AI training data, its types, why proprietary real-world data matters, and how businesses can supply it.
- [Proprietary data and its value for AI](https://sourcex.si/proprietary-data): What proprietary data is, what makes a proprietary dataset valuable to AI developers, and how to protect it when licensing.
- [Licensing operational data for AI](https://sourcex.si/operational-data): What operational data is, why AI agent developers want it, and whether businesses can license their operational records.
- [Company data monetization](https://sourcex.si/data-monetization): How companies monetize proprietary data, including licensing to AI developers, and the practical steps and trade-offs involved.
- [Enterprise data transaction layer for AI](https://sourcex.si/data-marketplace): How SourceX works: businesses describe data, buyers describe needs, and SourceX manages each licensed transaction end to end.
- [Trust center](https://sourcex.si/trust): SourceX trust center: our approach to data ownership, consent, approved use, confidentiality, removing sensitive details, retention, deletion and access control.
- [SourceX Enterprise Data Value Framework](https://sourcex.si/data-value-index): A methodological framework for the factors that determine what enterprise data is worth to AI developers. No market prices are published.
- [Real-world data for AI](https://sourcex.si/real-world-data): Real-world data for AI: data produced by actual people, businesses and systems during normal activity, why AI developers need it, and how it is licensed.
- [Human-generated data for AI](https://sourcex.si/human-generated-data): What human-generated data is, why AI developers seek it alongside synthetic data, and which business records contain it.
- [AI evaluation data](https://sourcex.si/ai-evaluation-data): AI evaluation data explained: held-out datasets used to measure model performance, what makes them valuable and how they are licensed.
- [AI data sourcing](https://sourcex.si/ai-data-sourcing): The main channels AI developers use to source training and evaluation data, and where licensed proprietary data fits.
- [Data valuation for AI](https://sourcex.si/data-valuation): How the value of business data for AI licensing is assessed: value drivers, cost deductions, deal structure and the limits of estimates.
## Industries
- [BPO & contact centers](https://sourcex.si/industries/bpo-contact-centers)
- [Recruiting & staffing](https://sourcex.si/industries/recruiting-staffing)
- [Consulting & professional services](https://sourcex.si/industries/consulting)
- [Healthcare administration](https://sourcex.si/industries/healthcare-administration)
- [Legal](https://sourcex.si/industries/legal)
- [Healthcare](https://sourcex.si/industries/healthcare)
- [Construction](https://sourcex.si/industries/construction)
- [Finance](https://sourcex.si/industries/finance)
- [Insurance](https://sourcex.si/industries/insurance)
- [Software](https://sourcex.si/industries/software)
- [Manufacturing](https://sourcex.si/industries/manufacturing)
- [Logistics](https://sourcex.si/industries/logistics)
- [Real estate](https://sourcex.si/industries/real-estate)
- [E-commerce](https://sourcex.si/industries/ecommerce)
- [Accounting](https://sourcex.si/industries/accounting)
- [Customer support](https://sourcex.si/industries/customer-support)
- [IT managed services](https://sourcex.si/industries/it-managed-services)
- [Software development agencies](https://sourcex.si/industries/software-development-agencies)
- [Architecture firms](https://sourcex.si/industries/architecture)
- [Claims administration](https://sourcex.si/industries/claims-administration)
- [Compliance consulting](https://sourcex.si/industries/compliance-consulting)
- [Construction management](https://sourcex.si/industries/construction-management)
- [Corporate training](https://sourcex.si/industries/corporate-training)
- [Cybersecurity services](https://sourcex.si/industries/cybersecurity-services)
- [Engineering consultancies](https://sourcex.si/industries/engineering-consultancies)
- [Fintech software](https://sourcex.si/industries/fintech-software)
- [Freight brokerages](https://sourcex.si/industries/freight-brokerages)
- [Industrial distribution](https://sourcex.si/industries/industrial-distribution)
- [Insurance brokerages](https://sourcex.si/industries/insurance-brokerages)
- [Market research](https://sourcex.si/industries/market-research)
- [Marketing agencies](https://sourcex.si/industries/marketing-agencies)
- [Media and publishing](https://sourcex.si/industries/media-publishing)
- [Mortgage operations](https://sourcex.si/industries/mortgage-operations)
- [Multi-brand retail](https://sourcex.si/industries/multi-brand-retail)
- [Procurement services](https://sourcex.si/industries/procurement-services)
- [Property management](https://sourcex.si/industries/property-management)
- [Telecom services](https://sourcex.si/industries/telecom-services)
- [Third-party logistics](https://sourcex.si/industries/third-party-logistics)
## Data library
- [Workflow data](https://sourcex.si/data/workflow-data)
- [Task execution histories](https://sourcex.si/data/task-execution-histories)
- [Sales and CRM data](https://sourcex.si/data/sales-crm)
- [Customer support data](https://sourcex.si/data/customer-support)
- [Legal and contract data](https://sourcex.si/data/legal-contracts)
- [Software engineering data](https://sourcex.si/data/software-engineering)
- [Accounting and finance data](https://sourcex.si/data/accounting-finance)
- [Standard operating procedures](https://sourcex.si/data/sops)
- [Operations data](https://sourcex.si/data/operations)
- [Call recordings](https://sourcex.si/data/call-recordings)
- [Project management data](https://sourcex.si/data/project-management)
- [Quality assurance data](https://sourcex.si/data/quality-assurance)
- [Supply chain data](https://sourcex.si/data/supply-chain)
- [Logistics data](https://sourcex.si/data/logistics)
- [Business documentation](https://sourcex.si/data/documentation)
- [Code review records](https://sourcex.si/data/code-reviews)
- [Company email archives](https://sourcex.si/data/company-email)
- [Issue resolution histories](https://sourcex.si/data/issue-histories)
- [Internal knowledge bases](https://sourcex.si/data/knowledge-bases)
- [Project records](https://sourcex.si/data/project-records)
- [Sales call transcripts](https://sourcex.si/data/sales-calls)
- [Source code](https://sourcex.si/data/source-code)
- [Change approval records](https://sourcex.si/data/change-approvals)
- [Compliance records](https://sourcex.si/data/compliance-records)
- [Construction records](https://sourcex.si/data/construction-records)
- [Customer onboarding records](https://sourcex.si/data/customer-onboarding)
- [Document approval records](https://sourcex.si/data/document-approvals)
- [Incident records](https://sourcex.si/data/incident-records)
- [Invoice exception records](https://sourcex.si/data/invoice-exceptions)
- [Logistics exception records](https://sourcex.si/data/logistics-exceptions)
- [Maintenance records](https://sourcex.si/data/maintenance-records)
- [Meeting transcripts](https://sourcex.si/data/meeting-transcripts)
- [Procurement records](https://sourcex.si/data/procurement-records)
- [Product decision records](https://sourcex.si/data/product-decisions)
- [Recruiting records](https://sourcex.si/data/recruiting-records)
- [Renewal workflow records](https://sourcex.si/data/renewal-workflows)
- [Research deliverables](https://sourcex.si/data/research-deliverables)
- [Technical documents](https://sourcex.si/data/technical-documents)
- [Training materials](https://sourcex.si/data/training-materials)
## Glossary
- [AI training data](https://sourcex.si/glossary/ai-training-data): Information used to teach an AI model patterns, such as text, conversations, images, audio, code or action records.
- [Enterprise data](https://sourcex.si/glossary/enterprise-data): Data an organization generates while operating: communications, transactions, documents, tickets, code and workflows.
- [Operational data](https://sourcex.si/glossary/operational-data): Records of how a business runs day to day, such as work orders, tickets, approvals and process logs.
- [Proprietary data](https://sourcex.si/glossary/proprietary-data): Data a company owns and controls that is not publicly available.
- [Data licensing](https://sourcex.si/glossary/data-licensing): Granting specific rights to a dataset while the supplier retains ownership of their original records and SourceX owns the deidentified version.
- [Dataset](https://sourcex.si/glossary/dataset): A defined collection of data assembled for a purpose, such as training or evaluating a model.
- [Data annotation](https://sourcex.si/glossary/data-annotation): Adding labels or metadata to raw data so models can learn from it.
- [Human data](https://sourcex.si/glossary/human-data): Data created by people rather than generated by models, including expert work products and human judgments.
- [Synthetic data](https://sourcex.si/glossary/synthetic-data): Data generated by models or simulations rather than collected from real activity.
- [Real-world data](https://sourcex.si/glossary/real-world-data): Data collected from actual activity rather than simulated or generated.
- [Reinforcement learning](https://sourcex.si/glossary/reinforcement-learning): A training approach in which a model learns by receiving rewards or penalties for its actions.
- [RLHF](https://sourcex.si/glossary/rlhf): Reinforcement learning from human feedback: training a model using human preference judgments.
- [RLAIF](https://sourcex.si/glossary/rlaif): Reinforcement learning from AI feedback: using an AI model's judgments in place of, or alongside, human feedback.
- [Model evaluation](https://sourcex.si/glossary/model-evaluation): Measuring how well an AI model performs on defined tasks.
- [Data provenance](https://sourcex.si/glossary/data-provenance): The documented origin and history of a dataset: where it came from, who authorized it and what was done to it.
- [Full glossary](https://sourcex.si/glossary): every term, with related terms.
## Insights
- [Agentic workflows explained: a customer support example, step by step](https://sourcex.si/insights/agentic-workflows-explained-customer-support-example): Agentic workflows explained through a refund exception: how they differ from chatbots and RPA, the five patterns, human approvals, and the trace fields to log.
- [AI agent governance: access scopes, approvals and audit logs](https://sourcex.si/insights/ai-agent-governance-access-scopes-approvals-and-audit-logs): AI agent governance for business systems: a per-system control sheet for agent scopes, approval triggers, audit log fields, retention and exclusions.
- [AI agent memory stores: are they licensable records, and whose?](https://sourcex.si/insights/ai-agent-memory-stores-licensable-records): AI agent memory holds user facts, summaries, episodic logs and embeddings. See who owns it, how long it lasts, and which memory records could ever be licensed.
- [AI evaluation frameworks: the dataset each one needs](https://sourcex.si/insights/ai-evaluation-frameworks-for-operational-tasks): AI evaluation for real business tasks: compare harnesses, LLM judges, agent benchmarks, expert review and platforms by the dataset each one needs.
- [Argentina data protection law: Law 25.326 rules for licensing records](https://sourcex.si/insights/argentina-data-protection-law-25326-licensing-records): Argentina data protection law (Law 25.326) for licensing records: consent or dissociation, transfer routes abroad, EU adequacy and the reform status.
- [Chile data protection law: licensing records under Ley 21.719](https://sourcex.si/insights/chile-data-protection-law-21719-licensing-personal-data): Chile data protection law for dataset licensing: which text applies before and after Ley 21.719 starts, consent, cesión and transfer routes, and the fines.
- [Protección de datos personales Colombia: Ley 1581 for dataset licensing](https://sourcex.si/insights/colombia-data-protection-law-1581-licensing-personal-data): Protección de datos personales in Colombia for dataset licensing: Ley 1581 authorization, SIC accountability, RNBD and the transfer route to a U.S. buyer.
- [Costa Rica data protection law: Law 8968 rules for licensing records](https://sourcex.si/insights/costa-rica-data-protection-law-8968-licensing-records): Costa Rica data protection law (Law 8968) for licensing records about people there: transfer consent, de-identification, PRODHAB registration and a checklist.
- [Cross-border data transfer: which mechanism applies by origin country](https://sourcex.si/insights/cross-border-data-transfer-mechanism-by-origin-country): Cross-border data transfer for licensed datasets: which mechanism applies from the EU, UK, Canada, Brazil, India, Singapore and the U.S., and what to hold.
- [Data governance for data licensing: a stage-by-stage approval and evidence log](https://sourcex.si/insights/data-governance-for-licensing-company-data): Data governance for data licensing: an eight-stage approval matrix and evidence log showing who signs each stage and what record each approval leaves.
- [All insights](https://sourcex.si/insights): the full library, by category.
## Collections
- [Laws and AI data licensing](https://sourcex.si/laws): Plain-language guides to the privacy, recording and data laws that come up when businesses license records to AI companies, by law, country, U.S. state and EU country.
- [Questions](https://sourcex.si/questions): Direct answers for business owners: what AI labs buy, what rights you keep, what gets removed, how payment works and which records qualify.
- [Guides](https://sourcex.si/guides): In-depth guides on licensing company data to AI labs: pricing, rights, privacy, agreements and buyers.
- [Comparisons](https://sourcex.si/compare): Comparisons of data marketplaces, brokers, annotation vendors and SourceX, grounded in public sources, plus plain explanations of the concepts behind them.
- [AI data deal tracker](https://sourcex.si/deals): Publicly reported AI data licensing deals, explained in plain la