🐼 Our Story

We're on a mission to make hiring smarter, fairer, and more human

PeoplePanda was founded on a simple belief: great candidates deserve a fair shot, and great recruiters deserve their time back.

Who we are

Built by people who lived the problem

Our founding team spent years inside HR and talent functions at fast-growing companies. We watched brilliant candidates get lost in the noise - not because of bad judgment, but because there simply wasn't enough time to give every application the attention it deserved.

We also watched recruiters burn out. Skilled, empathetic people spending 4 hours a day on CV triaging when they should be building relationships, coaching hiring managers, and creating experiences that make candidates excited to join.

PeoplePanda exists to fix both of those problems at once. Our AI handles the volume. Humans handle what humans do best.

🎯

Our Mission

Give every candidate a fair shot, and every recruiter their time back - so the best people end up in the right roles.

🔭

Our Vision

A world where every hiring decision is informed by the best possible signal - and where humans focus on empathy, not admin.

⚖️

Our Commitment

Fair, explainable AI. We audit our models continuously and give you the tools to verify fairness in your own pipeline.

2,400+Teams worldwide
1.2M+Applications processed
98%Recruiter satisfaction
2022Founded
The team

The people behind PeoplePanda

DF
Daisy Ford
VP Product
Former Head of Product at two HR-tech scale-ups. Obsessed with turning complex recruiter workflows into delightfully simple software.
LinkedIn →
MK
Marcus Klein
CEO & Co-Founder
Ex-Talent Director at a Series D fintech. Saw the problem firsthand and decided to build the solution he always wished existed.
LinkedIn →
SR
Sofia Reyes
CTO & Co-Founder
ML engineer with 10+ years building NLP systems. Previously at a leading enterprise AI lab. The brain behind our screening models.
LinkedIn →
JN
James Nkosi
Head of Customer Success
7 years in HR consulting before joining the product side. Makes sure every PeoplePanda customer actually succeeds.
LinkedIn →
EP
Elena Park
Head of AI Ethics
Researcher specialising in algorithmic fairness. Runs our bias auditing programme and ensures every model update meets our fairness standards.
LinkedIn →
TW
Tom Walsh
Head of Sales
Spent 8 years selling HR software before realising building it sounded more fun. Now he helps companies find the right plan for their team.
LinkedIn →
What we stand for

Our values

🤝

Humans first, always

Technology should empower people, not replace them. Every feature we build is designed to help humans make better decisions - not automate them out of the picture.

⚖️

Fairness is non-negotiable

We audit our models continuously. We publish our methodology. We give customers the tools to verify fairness themselves. No hand-waving on this one.

🔍

Radical transparency

Every AI recommendation comes with a plain-English explanation. We don't do black boxes. If we can't explain why, we don't ship it.

🚀

Obsess over outcomes

We don't count features shipped. We count hires made, time saved, and teams built. That's what success looks like to us.