AI Due Diligence Services

AI can help organize and analyze public records, live-system data, open-web information, and organizational data to identify patterns, relationships, and emerging trends. Salvara combines AI-assisted analysis with structured research workflows, domain knowledge, and human judgment. Findings are tied to source attribution and capture dates, while computed findings are distinguished from unsupported assertions so users can independently review the evidence.

Salvara provides self-serve access to public records including business licenses, bond filings, permits, and regulatory documents. Data points are sourced from primary records, live systems, or open-web sources, with capture dates and source attribution included for independent verification. These records can feed into AI-assisted analysis to help identify patterns and trends across business operations.

Yes. Contractor Compliance Monitoring provides independent, dated public-record monitoring of contractor license, bond, and insurance standing. The service is designed to identify expiry-cliff risks and support recurring reports or digests, helping property owners, general contractors, and multi-site operators maintain a more systematic view of their contractor rosters.

Salvara’s Deepread — Counterparty Due Diligence Report is designed for a focused investigation of an unfamiliar or important organization. The research can draw on public records, live systems, and open-web sources, with findings connected to source information and capture dates. Research boundaries are stated explicitly so decision-makers can distinguish documented evidence from interpretation.

The services can support landlords and property owners, general contractors, multi-site operators, SMBs in licensing, partnership, or M&A discussions, and brands evaluating customer sentiment or competitors. Real estate agents and brokers may also use source-verified research when vetting or recommending contractors. The common benefit is more informed organizational decision-making supported by independently verifiable findings.

Yes. Salvara can analyze organizational data alongside public records, while keeping the internal-data version private. This supports research that combines a company’s own information with external evidence, helping teams uncover operational patterns, ownership relationships, recurring pain points, or other findings relevant to their decision practices.

Salvara emphasizes source-verified intelligence. Claims carry source attribution and capture dates, allowing users to review where information came from and when it was captured. Computed findings are distinguished from unsupported assertions, and research boundaries are explicitly stated. These practices are intended to make findings easier to independently verify and act upon.

Yes. A sample read shows how public records, source attribution, capture dates, and AI-assisted analysis come together in a finished report. Public Records & License Registry Data Access is also offered as on-demand or self-serve reports, so you can try it against your own research and documentation practices before expanding its use.