.svg)
Discover how Kula turned AI fairness into a market advantage, building trust, credibility, and a new standard in recruiting tech.
Kula is an all-in-one ATS built for recruiters by recruiters. Their mission is to make recruiting pipelines as smart, fast, and simple as possible.
The platform was created by an ex-recruiter who grew frustrated with clunky, fragmented tools that slowed down hiring. From the start, the Kula team saw an opportunity to build something better, embedding AI natively into the product, not bolting it on later.
Since then, their mission has been to help hiring teams hire better while keeping transparency and trust at the core of what they do.
For Kula, responsible AI is not a checklist, it’s non-negotiable. Fair and transparent AI helps recruiters make confident, objective decisions, ensuring all candidates are evaluated equally.
We caught up with Sath M., CTO and Co-Founder, to hear his thoughts on how prioritizing AI fairness has helped their customers:
“AI fairness helps our customers make confident, and more objective hiring decisions. As a side effect, customers see a decrease in time-to-hire and an increase in the quality of candidates thanks to fair and transparent AI.”
Kula showed that weaving fairness into product design can accelerate AI adoption and fuel growth. They’ve done this in several ways:
Kula recognized that demonstrating AI trust in their product could drive more adoption. By communicating fairness alongside company pillars like compliance and transparency, Kula reassures customers that fairness is built into the platform and not treated as an afterthought.
Kula amplified this message through its network on social media, reinforcing its commitment to fair and transparent AI.
Building safe AI technology is a key priority for Kula. Through incorporating Warden AI’s bias testing into their product, the team is able to continuously test its models to ensure fairness.
Sath puts it simply,
“You need to take trust seriously. Recruiters need to know the tools they are using are transparent. They need to know how the AI works and that it isn’t leaning towards bias.”
Highlighting AI trust marks as part of their value proposition has allowed Kula to help break the stigma that AI is more biased than humans.
By using trust marks such as their AI Assurance Dashboard and AI Assurance badge, they are helping move the market to be less averse to adopting AI in recruitment.
This in turn has allowed Kula to earn the trust and loyalty of hiring teams, because they know the AI has been independently tested for fairness.
Instead of relying on synthetic data, Kula built its own large language model (LLM) using real recruiter data.
This approach ensured that their LLM was tested against real-world scenarios, reflecting the environments in which it would actually be used.
By putting responsible AI measures in place and getting third-party validation, Kula gives customers full confidence in their product by enabling:
Full transparency: Customers can check AI bias audit results in real-time. In a time where customers and candidates alike are growing curious about how AI operates behind the scenes in hiring systems, real-time bias auditing becomes core.
Explainability: Explainability is baked into the product so users can clearly understand the AI. Every candidate score gives a clear breakdown as to how the score was given so hiring teams get the full picture.
Human-first judgment: AI supports, but never replaces, the expertise of recruiters.
The team at Kula is just getting started. The product team is exploring new ways to make AI more transparent and responsive. They will continue to position themselves as a highly trusted extension of a recruiter’s workflow.
By partnering with Warden for independent validation, Kula ensures responsible AI is not a one-off promise but an ongoing practice.
To learn more about Kula, visit www.kula.ai
