Case Study · Curatal

Helping talent teams accelerate and standardize interviews with AI-powered evaluation agents

      Faster, More Efficient Interviews
      Reduced Bias & Improved Fairness
      Data-Driven Optimization
    

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About the company

Curatal is an AI-powered hiring platform that connects companies with pre-interviewed tech talent through intelligent assessments and interviews. Unlike traditional job portals that merely provide resumes, Curatal offers a measure of talent by delivering pre-assessed candidates ready for immediate engagement. By leveraging advanced AI and ML technologies, Curatal empowers businesses to make smarter hiring decisions, ensuring a more efficient and effective recruitment process

The challenge

The problem statement

Inefficiencies in Interview Management

Manual interview processes lacked standardization and were time-intensive, leading to inconsistent candidate assessments and delays in recruitment cycles.

Absence of Structured Evaluation Tools

Without a grading framework or real-time assessment capabilities, recruiters struggled to objectively measure technical and behavioral competencies across diverse candidate pools.

Inability to Scale with Consistency

The growing volume of applicants made it difficult to maintain fairness, reduce bias, and ensure quality hiring outcomes without increasing manual oversight.

The approach

How Lyzr solved it

Lyzr developed an AI-powered Interview Agent framework - an intelligent, cloud-native interview automation system that:

AI-Powered Adaptive Interviews

Conducts adaptive interviews using generative AI, tailoring questions in real time based on candidate responses.

Automated Candidate Evaluation

Automates grading and evaluation using structured rubrics and scoring logic for both technical and behavioral interviews.

Real-Time Coding Assessment

Integrates real-time coding assessments via Judge0, enabling automatic execution and evaluation of technical challenges.

AWS-Native Enterprise Architecture

Runs entirely in Curatal’s AWS environment, powered by Amazon Bedrock, EC2, ECS, RDS, and DocumentDB, with orchestration managed through Lyzr’s backend agent framework (Jazon)..

Results

The outcome

Faster, More Efficient Interviews

AI-driven automation significantly reduced the time to conduct and evaluate interviews, enabling recruiters to process more candidates in less time.

Reduced Bias and Improved Fairness

Adaptive questioning and standardized workflows supported fair, skill-based evaluations, enhancing candidate trust and experience.

Data-Driven Optimization

Continuous monitoring and feedback loops enabled refinement of question logic and agent performance, supporting long-term platform improvement.

Security

How Lyzr handled security

Compliance

The Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, supporting enterprise-grade data handling and privacy.

Data Residency

All change management data remains securely within NTT Data’s Azure cloud, ensuring 100% ownership and compliance with regional data laws.

Reflection Module

Lyzr’s reflection system minimizes model hallucination, ensuring high-accuracy, reliable recommendations in critical workflows.

Helping talent teams accelerate and standardize interviews with AI-powered evaluation agents