Transform Your Hiring with AI-Powered Resume Screening

Lilitu achieves 99.8% parsing accuracy across all resume formats, which actually exceeds human accuracy in many cases. While humans may miss details during rapid screening or misinterpret formatting, our AI consistently extracts all relevant information regardless of layout, font, or structure. Our parsing engine has been trained on millions of resumes and handles edge cases like scanned documents, creative designs, and non-standard formats. In independent testing, Lilitu extracted 27% more relevant qualifications from resumes than human reviewers working under time pressure.

Lilitu employs multiple layers of bias detection and mitigation. First, our optional blind screening mode automatically redacts names, photos, graduation years, addresses, and other identifying information before evaluation. Second, we flag potentially biased language in job descriptions (like "recent graduate" or "culture fit" used without definition). Third, our algorithms are regularly audited for adverse impact across protected groups. Fourth, every scoring decision is explainable—you can see exactly which qualifications drove each score, ensuring no hidden biases in the AI. Finally, we provide diverse candidate slate options and monitor diversity metrics throughout your hiring funnel. The system is designed to be more objective than human reviewers, who are susceptible to unconscious bias based on names, schools, or other factors unrelated to job performance.

Lilitu integrates with all major applicant tracking systems including Greenhouse, Lever, Workday, BambooHR, iCIMS, SAP SuccessFactors, Oracle Taleo, JazzHR, and Jobvite. We also connect with job boards (LinkedIn, Indeed, Glassdoor, ZipRecruiter), HRIS systems, calendar tools (Google Calendar, Outlook), communication platforms (Slack, Microsoft Teams), and background check providers. Our two-way sync ensures candidate data, status updates, and screening results flow seamlessly between systems in real-time. For custom integrations, we provide a RESTful API with comprehensive documentation and SDK libraries in Python, JavaScript, Ruby, Java, and Go. Most integrations can be set up in under 15 minutes with OAuth authentication—no IT team required.

Individual resumes are typically processed in 3-8 seconds, depending on length and complexity. For batch processing, Lilitu can screen 500 resumes in approximately 5-7 minutes, or 1,000 resumes in about 12 minutes. This includes full parsing, semantic analysis against job requirements, multi-dimensional scoring, bias checking, and scorecard generation. By comparison, manual resume review typically takes recruiters 6-8 minutes per resume for initial screening, meaning Lilitu is approximately 50-100x faster while being more thorough and consistent.

Absolutely. Lilitu provides complete flexibility in configuring scoring rubrics. You can adjust the weight given to different factors (experience, skills, education, achievements, career progression) on a role-by-role basis. For example, for entry-level positions you might weight education and internships more heavily, while for senior roles you'd prioritize years of experience and leadership. You can create and save custom scoring templates for different job families (engineering, sales, marketing, operations) or seniority levels (entry, mid, senior, executive). The platform also allows you to mark certain qualifications as must-haves (automatic disqualification if missing), preferred (bonus points), or nice-to-haves (minimal impact). These custom rubrics can be shared across your team and reused for similar positions, ensuring consistency in your hiring standards.

Security and compliance are foundational to Lilitu. All candidate data is encrypted in transit (TLS 1.3) and at rest (AES-256). We are SOC 2 Type II certified, GDPR compliant, and adhere to CCPA, EEOC, and OFCCP requirements. Candidate data is never used to train our models or shared with third parties without explicit consent. You maintain full ownership and control of your data, with the ability to export or delete it at any time. We provide role-based access controls, comprehensive audit logs, and automatic data retention policies that comply with regional regulations. Our infrastructure is hosted on enterprise-grade cloud providers (AWS/GCP) with 99.9% uptime SLA, regular security audits, and penetration testing. For enterprises, we offer single sign-on (SSO), SAML authentication, and the option for on-premise or private cloud deployment.

Lilitu's continuous learning system observes which candidates you advance through your hiring funnel—who you interview, who you extend offers to, and who ultimately succeeds in your organization. Over time, the AI identifies patterns in the candidates you prefer and adjusts its recommendations accordingly. For example, if you consistently hire candidates with specific combinations of skills, or from certain types of companies, or with particular career trajectories, Lilitu learns these preferences and weights them more heavily in future screenings. Importantly, this learning happens at the organization level (not globally), so your AI model becomes uniquely tuned to your company's culture and success profiles. You can also provide explicit feedback on individual candidate scores, which the system incorporates immediately. The learning process respects your bias mitigation settings—it won't learn biased preferences even if human reviewers exhibit them.

Yes, Lilitu supports 40+ languages including Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Hindi, and many more. The system automatically detects the resume language and can parse, analyze, and score resumes in their native language or automatically translate them to English for review. This multilingual capability extends to understanding culturally specific education systems (e.g., European Bologna degrees, Indian engineering colleges), recognizing international certifications, and parsing date formats from different regions. For global organizations, this enables true worldwide talent acquisition without requiring recruiters to be fluent in multiple languages.

Lilitu provides comprehensive analytics dashboards covering time-to-fill metrics, source quality analysis (which job boards send the best candidates), diversity hiring metrics with EEO breakdowns, funnel conversion rates at each stage, cost-per-hire calculations, skill gap analysis across your candidate pool, and competitive intelligence on market salary trends. You can generate custom reports for specific roles, departments, or time periods, with visualizations that make it easy to identify trends and opportunities. For compliance, we provide EEOC and OFCCP reports with adverse impact analysis, automatically flagging potential issues before they become problems. All reports can be exported to PDF, Excel, or PowerPoint for stakeholder presentations, and you can schedule automated report delivery to key team members.

Most organizations are up and running within 24 hours. The setup process involves connecting your ATS (typically 10-15 minutes using OAuth), configuring your scoring preferences and bias settings (15-20 minutes), and optionally importing historical hiring data to train the AI on your preferences (automatic overnight process). We provide dedicated onboarding specialists who guide you through setup, offer training for your recruiting team (live sessions or self-paced videos), and provide ongoing support. For enterprise deployments with complex requirements, custom integrations, or specific compliance needs, implementation typically takes 1-2 weeks. We offer a 14-day free trial with full platform access so you can screen real resumes and see the quality before committing.

Lilitu is designed as a decision-support tool, not a replacement for human judgment. The AI provides rankings and recommendations, but you always have final control. If you disagree with a candidate's score, you can provide feedback directly in the platform, and the AI will adjust its future recommendations based on your input. Our explainable AI feature shows you exactly why each candidate received their score—which qualifications were met, which were missing, and how each factor contributed to the overall ranking. This transparency helps you quickly identify whether a low score is justified or if the AI missed important context (like a career changer with transferable skills described in non-standard language). Additionally, you can adjust scoring weights and must-have criteria to better reflect your priorities. The continuous learning system means Lilitu gets better at understanding your preferences over time, reducing mismatches.

No, Lilitu complements and enhances your existing recruiting team and tools—it doesn't replace them. Think of Lilitu as an AI assistant that handles the time-consuming, repetitive work of initial resume screening, freeing your recruiters to focus on high-value activities like candidate engagement, interviewing, relationship building, and strategic sourcing. Your recruiters spend less time manually reading hundreds of resumes and more time having meaningful conversations with qualified candidates. Similarly, Lilitu integrates with your existing ATS rather than replacing it. Your ATS remains your system of record for all candidate data, workflow management, and hiring team collaboration. Lilitu simply adds an AI screening layer that automatically evaluates candidates flowing through your ATS, enhancing it with capabilities it doesn't have natively.