Restaurant Tech Radar is built to help restaurant operators evaluate AI, automation, and software with less noise.
Each issue is built from a research packet before drafting. We review a broad mix of vendor documentation, pricing pages, product updates, trade coverage, public data, operator pain signals, and independent commentary. Important claims are checked against primary sources where possible and softened or held back when confidence is low.
We avoid invented traction claims, fabricated case studies, unsourced ROI claims, stale pricing, and unsupported rankings. Vendor pricing, features, integrations, and availability can change quickly, so operators should verify details directly before buying.
If we get something wrong or a vendor detail changes, email hello@restauranttechradar.com. Corrections should be visible and tied to the affected issue or resource.
Sponsored content must be clearly labeled and must fit the operator audience. Sponsorship can buy placement, not a favorable verdict, ranking, or editorial coverage. Sponsor claims are not treated as proof unless independently verified or clearly attributed.
We use research-assisted workflows and human review. Final editorial judgment, sponsor acceptance, vendor conclusions, and public claims require human approval.