AI-powered candidate-job matching with contextual understanding

Flipped.ai uses natural language processing to understand both job descriptions and candidate profiles beyond simple keyword matching. It evaluates skills, experience, and even cultural fit indicators to produce a compatibility score. This approach reduces false positives common in traditional resume filters.

Business outcome: Higher quality shortlists with fewer irrelevant candidates reaching interview stage.

Automated candidate sourcing from multiple channels

The platform automatically sources candidates from job boards, social networks, and its own database. Recruiters can set criteria and receive a curated list of potential candidates without manually searching each platform. This feature is particularly valuable for hard-to-fill roles.

Business outcome: Expanded talent pool with reduced manual sourcing effort.

Intelligent pre-screening with customisable assessments

Flipped.ai allows recruiters to create custom screening questions and assessments that are automatically scored. The AI evaluates responses based on relevance and completeness, flagging top candidates for human review. This standardises the initial evaluation process across all applicants.

Business outcome: Consistent, unbiased initial screening that saves hours per requisition.

Seamless integration with existing ATS and HR tools

The platform connects with popular applicant tracking systems and HR platforms, allowing data to flow between systems without manual data entry. This integration capability means teams can adopt Flipped.ai without overhauling their existing tech stack.

Business outcome: Faster adoption and minimal disruption to existing recruitment workflows.

Recruitment analytics and pipeline visibility dashboards

Flipped.ai provides dashboards that show time-to-hire, source effectiveness, candidate pipeline health, and diversity metrics. These insights help recruitment leaders identify bottlenecks and optimise their hiring strategies based on data rather than intuition.

Business outcome: Data-driven recruitment decisions that improve efficiency and hiring outcomes.

Automated candidate communication and scheduling

The tool automates email notifications, interview scheduling, and follow-up communications with candidates. This reduces the back-and-forth that typically consumes recruiter time and ensures candidates receive timely updates about their application status.

Business outcome: Improved candidate experience and reduced administrative overhead for recruiters.

• AI matching accuracyThe contextual matching engine reduces irrelevant candidates significantly compared to keyword-based filters.
• Ease of setupNew users can configure job postings and start receiving matched candidates within minutes.
• Candidate sourcing automationMulti-channel sourcing saves recruiters hours of manual searching across different platforms.
• Analytics for decision-makingPipeline and diversity metrics provide actionable insights for improving recruitment strategy.

• Limited ATS functionalityFlipped.ai focuses on screening and matching, not full applicant tracking, offer management, or onboarding.
• Customisation depthAdvanced customisation of AI models requires the Enterprise plan, which may be out of budget for smaller teams.
• Integration limitationsWhile it integrates with major ATS platforms, some niche or legacy systems may not be supported.
• Professional RealityFor high-volume recruitment with complex workflows, a full ATS like Greenhouse or Lever will still be necessary alongside Flipped.ai.

High-volume graduate recruitment

Universities and large companies hiring hundreds of graduates can use Flipped.ai to screen applications at scale, identifying top candidates based on skills and potential rather than just grades.

Specialised technical hiring

Tech companies hiring for niche roles like AI engineers or cybersecurity specialists benefit from the contextual matching that understands specific technical requirements beyond keywords.

Remote team expansion

Companies building distributed teams can use Flipped.ai to source and screen candidates across different geographies, standardising evaluation criteria regardless of location.

Agency client onboarding

Recruitment agencies onboarding new clients can quickly set up job postings and begin presenting matched candidates, reducing the time from client brief to candidate shortlist.

Sign up for a free account on the Flipped.ai website using your work email.

Create your first job posting by pasting the job description and setting screening criteria.

Connect your existing ATS or HR platform via the integrations menu to enable data syncing.

Review the AI-matched candidate list, adjust screening parameters if needed, and begin outreach.