# Fastr

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed September 21, 2026.

> Fastr is an AI-powered talent acquisition platform that integrates with existing Applicant Tracking Systems (ATS) to improve recruiting efficiency. It leverages patented AI matching technology to help recruiters find, rediscover, and source qualified candidates faster, reducing manual effort and mitigating bias.

- Business Profile: https://optimly.ai/brand/fastr
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://fastr.ai/
- Logo: https://logo.clearbit.com/fastr.ai
- Slug: fastr
- Brand Authority Index tier: Emerging
- Category: AI Talent Matching Platforms
- Last Analyzed: September 21, 2026

## Buyer Intent Signals
Problems: Struggling to find candidates in ATS | Recruiters spending excessive time disqualifying candidates | Long delays in delivering qualified candidates | Leaving clunky ATS for costly job boards and sourcing licenses | ATS not built for modern recruiting needs | Inefficient candidate rediscovery | Traditional keyword hiring missing suitable candidates due to lack of context | Narrow and homogenous talent pools | Recruiters buried in applicants and manual disqualification tasks
Solutions: AI-powered talent matching | Contextual AI matching | Global talent pool building within ATS | Maximizing existing ATS investment | Transforming ATS into an intelligent talent matching machine | Boosting candidate rediscovery efficiency | Finding best candidates with AI | Holistic analysis of candidates and job descriptions | Reducing manual sourcing time | Fair and ethical AI in talent acquisition | Bias mitigation in algorithms | Faster speed to submittal | Engaging best candidates | Supercharging ATS with AI
Comparisons: Request demo | Learn more | Try free for 15 days | Improve technology adoption and usage | Streamlining hiring | Enhancing talent sourcing and matching capabilities | Optimizing recruitment efforts | Applicant categorization | Maximizing TA efficiencies | Minimizing time to close mission-critical roles | Uncovering stronger candidates | Making faster hiring decisions