R8dor
R8dor.io provides engineering leaders with AI token spend analytics that measure quality per token, attributing consumption to individual engineers and distinguishing productive output from waste. The platform connects coding apps and tracks metrics like merged PRs, unaccounted spend, and non-work usage to identify high-burn behavior and off-scope activity, presenting a dashboard that flags engineers needing review while highlighting those who deliver strong output with minimal tokens.
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Engineering organizations are spending heavily on AI coding tools with little visibility into whether that spend translates into shipped software. Teams can appear busy with high token consumption while output stagnates, and budgets escalate without a clear link to development velocity or business outcomes.
Solution
R8dor.io provides engineering leaders with AI token spend analytics that measure quality per token, attributing consumption to individual engineers and distinguishing productive output from waste. The platform connects coding apps and tracks metrics like merged PRs, unaccounted spend, and non-work usage to identify high-burn behavior and off-scope activity. It presents a clear dashboard showing token spend versus development velocity, flagging engineers who need review and highlighting those who deliver strong output with minimal tokens. This gives leaders the numbers they need to have informed conversations about AI ROI before being asked by the boardroom.
Target Audience
Primary customers are engineering leaders and CTOs at enterprises that have deployed AI coding tools at scale and need to account for AI spend against engineering output.
Features
- Per-engineer attribution of token spend with output metrics like merged PRs for direct productivity comparison
- High-burn and waste detection signals that flag off-scope or non-work usage patterns
- Org-level dashboard comparing AI spend growth against development velocity to expose funding motion without progress
- Budget monitoring with forecast alerts showing percentage of budget used and days remaining
- Coding app integrations to capture usage data directly from development tools
- IP protection guarantee ensuring customer intellectual property remains proprietary