Jaikiran KeerthiFounder

United Kingdom -

I help regulated enterprises turn voice into a verified trust signal.

🚀Founder @Voxmind — real‑time, deepfake‑resilient voice biometrics that are hardware‑free and language‑agnostic.

The problem
Passwords, PINs and “what’s your mother’s maiden name?” don’t stop APP fraud, ATO, or social‑engineering, especially over phone and IVR. And with AI‑cloned voices, knowing who’s on the line is now mission‑critical.

What we deliver:

➤ Verify in seconds across phone, IVR and mobile, no special hardware.

➤ Detect AI clones & replays with phoneme‑level analysis + liveness.

➤ Reduce handle time and step‑up friction in contact centers.

➤ Strengthen KYC/SCA for onboarding and high‑risk transactions.

➤ Privacy‑first design; deploy via API/SDK, cloud (UK/EU) or on‑prem.

How it works:
Most systems match broad voice patterns; AI now fakes those. Voxmind analyses the micro‑signals inside each phoneme (how real vocal cords produce sound over time) and combines them with multiple vocal biomarkers and continuous checks. Result: harder to spoof, easier to use.

Why trust me:
I’ve spent 15+ years building scalable infrastructure, high‑volume secure databases, and zero‑downtime data migrations across Energy, Financial Services, and Retail. I’m applying that rigor to identity security at Voxmind.

✳ Barclays Entrepreneur Awards 2025 – Innovation in AI Finalist

✳ Datamellon AI Ignite – UK Finalist (Global)

Who should connect:
CISOs, Heads of Fraud/Risk, Directors of Digital/Identity, and Contact‑Center leaders looking to:

✔ Cut fraud losses and false positives

✔ Speed up KYC/SCA without hurting CX

✔ Add an AI‑aware factor to your IAM and contact‑center stack

What I write about:
AI security, deepfake defense, voice technology, digital identity, fraud trends, and the founder’s journey. Follow for practical playbooks, architecture notes, and market insights, not hype.

Let’s talk
✉ DM here or email jaikiran.keerthi@voxmind.ai for a no‑pressure chat.

👉🏻 Your customers want trust without friction. We make the “who” verifiable.