Kanaries

Kanaries provides AI-assisted data exploration, visualization, analytics, and automated insight generation. Analysts should validate data quality, metrics, filters, statistical assumptions, chart choices, privacy, and generated interpretations before sharing conclusions.

Begin with a limited, reversible test using only authorized and necessary inputs. Configure privacy, access, quality, export, disclosure, and spending controls; compare results with original sources and representative benchmarks; correct errors; and keep a responsible person in control before publishing, deploying code, contacting people, changing records, or making consequential decisions.

Free limited access is available and paid access starts from an effective $10.75 per month depending on billing term. Data size, workspaces, users, and features vary.

AI output and automated actions can be inaccurate, biased, incomplete, unsafe, stale, or misleading, while services may process confidential, copyrighted, personal, biometric, health, financial, educational, or regulated information. Check consent, retention, model-training, licenses, platform rules, renewal terms, accessibility, and security, and use qualified human review for high-impact work.