
Unifies AI code attribution, DORA metrics, and team health for engineering leaders.

Product memo
Engineering leaders use iftrue to gain a unified view of team performance and AI impact. It replaces fragmented data by combining AI code attribution, DORA metrics, and team health signals. This approach helps leaders make data-driven decisions, understand AI's return on investment, and optimize engineering time, especially for mobile teams.
For who
Engineering leaders and teams
Solves what
Unifies AI code attribution, DORA metrics, and team health for data-driven decisions.
- AI code attribution
- DORA metrics tracking
- Team health insights
In their own words
Engineering leaders measure what matters.
iftrue unifies AI code attribution, DORA metrics, and team health into one signal. So you make decisions with data, not dashboards.
Measure what matters.
Commercial cues
Model
contact only
Free tier
Yes
Trial
No
Pricing Strategy
Iftrue offers a free Pricing questions tier, with AI Impact handled through custom pricing.
- • Per-developer pricing scales costs directly with active team size.
- • Custom pricing for core tiers targets enterprise-level engagements.
- • A free tier for inactive users lowers adoption friction for new teams.
Operator context
Founded
Jul 2025
HQ
Türkiye
Platform
Web app
Audience
Developers
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About iftrue Expand
Iftrue provides an engineering intelligence layer specifically for the AI era, designed for engineering leaders and their teams. It solves the problem of fragmented data by bringing together AI code attribution, DORA metrics, and team health signals into a single platform.
This consolidated view allows leaders to make more informed decisions, accurately measure the ROI of AI initiatives, and strategically optimize engineering time investment, particularly benefiting mobile development teams. The platform helps teams understand their delivery intelligence and capacity planning with greater clarity.




