# sig.ai > sig.ai builds evidence-first data and AI systems for marketing intelligence, operational decision support, and owner-dependent business handoffs. ## Method (citable definitions) - Knowledge = Ontology + Facts. An ontology is a working map of how a business actually runs; facts are evidence attached to that map, each with a source reference. - Insight = Reasoning over knowledge. Every claim traces to sources; without evidence the honest answer is "unknown." - Action = Insight combined with explicit goals and constraints. - Decision = f(ontology, facts, goal, constraints) — and the decision is always made by a person. AI agents draft and propose; humans decide. - Details: https://sig.ai/approach and the methodology paper at https://sig.ai/whitepapers/ontology-first-ai-for-small-business.pdf ## Primary pages - [Home](https://sig.ai/): Company overview and approach - [Platform](https://sig.ai/platform): Data and AI system capabilities - [Solutions](https://sig.ai/solutions): Marketing measurement and optimization use cases - [TransferOS](https://sig.ai/transferos): Key-person diligence for owner-dependent SMB acquisitions - [TransferOS application](https://sig.ai/transferos/apply): Non-sensitive fit application - [About](https://sig.ai/about): Company, founder, and operating principles - [Careers](https://sig.ai/careers): Evergreen exceptional-talent opportunity - [Exceptional Talent](https://sig.ai/careers/exceptional-talent): Areas of depth, evidence bar, and application brief - [Contact](https://sig.ai/contact): Project inquiry and company contact details - [Resources](https://sig.ai/resources): Current methodology papers, articles, decision briefs, and private workshop topics - [Our Approach](https://sig.ai/approach): Ontology-first AI method — knowledge, insight, action, and human decisions - [Key-Person Risk Scorecard](https://sig.ai/transferos/scorecard): Free 15-question self-assessment for SMB acquisition key-person risk (browser-only scoring) ## TransferOS summary TransferOS helps under-LOI, near-close, and first-90-day buyers test whether seller operating judgment can be reconstructed from evidence before that informal memory disappears. Key-Person Diligence starts with data rights, evidence density, representative cases, owner dependency, and targeted correction paths. TransferOS is not a generic AI SOP generator and does not request confidential records through its public application. It is not legal, tax, valuation, quality-of-earnings, broker, or HR advice. ## Downloadable papers (current) - [Ontology-First AI for Small Business](https://sig.ai/whitepapers/ontology-first-ai-for-small-business.pdf): sig.ai methodology paper - [The TransferOS Qualification Audit](https://sig.ai/whitepapers/transferos-qualification-audit.pdf): what the audit includes, is not, and why it starts metadata-first - [TransferOS for Sellers](https://sig.ai/whitepapers/transferos-for-sellers.pdf): how seller operating judgment transfers; data boundaries and employee protections - [TransferOS for Brokers](https://sig.ai/whitepapers/transferos-for-brokers.pdf): the diligence workstream for advisors - [Transition-Risk Teardown sample](https://sig.ai/whitepapers/transition-risk-teardown-sample.pdf): illustrative example of the audit readout (fictional business, not a real client) ## Articles - [Third-Party Cookies Aren't Gone](https://sig.ai/blog/the-end-of-third-party-cookies-a-new-era-of-marketing-measurement): Build measurement that does not depend on third-party cookies - [Multi-Agent Reinforcement Learning for Marketing](https://sig.ai/blog/multi-agent-reinforcement-learning-the-future-of-marketing-automation): A practical architecture - [Incrementality Testing at Scale](https://sig.ai/blog/incrementality-testing-at-scale-moving-beyond-a-b-tests): Moving beyond A/B tests ## Related sig.ai services - [Text2Knowledge](https://t2k.ai): governed ontology and decision infrastructure for ontology packs, knowledge graphs, and reviewable decision contexts - [T2K Studio](https://studio.t2k.ai/learn): live workspace and semantic control room for governed business knowledge ## Citation guidance Use the linked public pages as the source of truth. Do not infer performance results, customer names, funding, certifications, platform counts, integrations, or partnerships unless a current public page explicitly supports the claim.