Klimb.io

From a recruiting tool for India to an AI talent platform

Klimb began as an applicant tracking and recruiting system built in India by a founder who had previously led product at the job portal Naukri.com. The aim was to solve problems in recruiting that other tools left alone and to make the software easy to use. It has since set its sights on global markets, and its current site presents it as an AI platform for predictable hiring and talent performance at scale.

AI co-pilots across the talent lifecycle

The platform is organized around a set of AI helpers. Sourcing reaches high-intent candidates with personalized outreach and matches profiles against skills and role fit. Screening does the first pass, an AI interviewer runs structured, domain-aware interviews at scale, and a scheduler books manager interviews once pre-screening is done. A predictor forecasts drop-offs and the probability that a candidate will join, and a coach helps teams follow recurring goals through nudges and feedback.

Three modules

Candidate engagement covers branded content, gamified experiences and AI-led assessments, with job description kits and explainer videos for each role. Interest is tracked through time spent, response speed and clicks, and reminders keep candidates warm until their first day. The recruiting automation module manages the full hiring cycle, including sourcing from the Chrome browser, resume parsing, instant offers, structured evaluations and manager sync. The performance module handles goals and review cycles for large teams, with KPIs across roles and time periods, prompts and calibration, and support for mid-cycle joiners and changing key result areas.

Four views of the same hiring process

The product is also framed around four experiences: candidates, recruiters, managers and employees. Recruiters get sourcing, screening and automation tools. Managers see operations and approve actions with data behind them. Employees take part through referral campaigns, internal jobs and collaborative interviews. Beyond a conventional ATS, it describes automation of outbound recruitment, rediscovery of past talent, candidate engagement and employer branding, with analytics on engagement, hiring speed, performance and drop-off risk.

Customer stories published by the company include PetPooja, which automates complex salary structures and offer letters, and IndiaMART, which scaled corporate and frontline hiring.