Our Methodology
IntelligenceRadar's platform is built on a structured, repeatable methodology designed to provide buyers with accurate, comparable, and actionable data. This page explains how we collect, structure, and maintain product intelligence.
IntelligenceRadar is designed so non-technical buyers can evaluate AI products using standardized pricing, risk, and deployment data—without needing to understand models, benchmarks, or infrastructure details.
Data Collection Process
We gather intelligence from multiple authoritative sources:
- Vendor Documentation: Pricing pages, terms of service, data processing agreements, security whitepapers, and API documentation.
- Public Disclosures: SOC 2 reports, ISO certifications, GDPR compliance statements, and transparency reports.
- Product Trials: Hands-on testing to validate pricing models, feature availability, and user experience claims.
- Customer Interviews: Conversations with operators who have deployed these tools to understand real-world cost and operational impact.
- Vendor Outreach: Direct engagement with vendors to clarify ambiguous policies or request missing disclosures.
Risk Flag System
Green
All core pricing and risk-related information is publicly disclosed.
Yellow
Some pricing or risk-related information is incomplete or requires further review.
Red
Multiple critical pricing or risk disclosures are missing or unavailable.
Cost Calculator Methodology
Our Cost Calculator estimates your Total Cost of Ownership (TCO)—the complete financial picture of deploying and operating an AI system over time. TCO includes not just subscription fees, but also implementation costs, training expenses, usage-based charges, and scaling costs as your team grows.
Our calculators are designed to model real-world cost scenarios based on usage drivers specific to each product category. For example:
- Customer Support Tools: Agent seat count, ticket volume, automation rate
- Sales & Prospecting: Sales rep count, contact enrichment volume, sequence sends
- Developer Productivity: Developer seat count, premium model usage, compute hours
- Document Processing: Page volume, API call frequency, storage requirements
- Marketing & Content: Contact database size, email send volume, content creator seats
- Internal Knowledge: Employee count, data source integrations, storage capacity
Calculators output estimated monthly cost ranges and visualize cost curves (linear, step-function, usage-based) to help buyers anticipate scaling costs.
Continuous Monitoring & Updates
The AI product landscape changes rapidly. We continuously monitor for:
- Pricing Changes: New tiers, rate adjustments, or billing model shifts
- Policy Updates: Changes to data retention, model training opt-outs, or terms of service
- Security Certifications: New SOC 2, ISO, or HIPAA compliance achievements
- Feature Releases: New integrations, model upgrades, or capability expansions
- New Products: New product releases growing in popularity
Pro subscribers receive threshold alerts when products in their watchlist experience significant changes.
Editorial Independence
IntelligenceRadar does not accept payment from vendors for inclusion, favorable ratings, or preferential placement. Our intelligence is buyer-focused, not vendor-influenced. If a vendor disputes our data, we investigate and update records based on verifiable evidence, not marketing claims.
Feedback & Corrections
If you identify inaccurate or outdated information, we want to hear from you. Use the button with supporting documentation, and we will review and update records accordingly. Our goal is to maintain the most accurate and up-to-date AI product intelligence available.