Securing Voice in the Age of AI
Enterprise voice authentication is at an inflection point. The major cloud platforms have scaled back their standalone voice biometrics offerings, leaving hardware OEMs, contact centre platforms, and regulated enterprises without a deployment-ready solution, precisely as AI voice cloning has made the threat more acute than ever.
Voxmind was founded to fill that gap. We build voice authentication and deepfake detection technology that deploys anywhere, on constrained edge hardware, inside contact centre platforms, or in the cloud. Our patent-pending phoneme frequency analysis captures vocal tract biomechanics unique to each speaker, making authentication completely language agnostic and resistant to synthetic voice attacks.
We work with hardware OEMs, contact centre platforms, and enterprises who need voice security that works without cloud dependency, without per-language configuration, and without compromising on speed.
OUR ORIGIN
Built on Science, Driven by Security
Co-founded by Jaikiran Keerthi and Dr. Saritha Kinkiri (PhD, Digital Communication & Mathematics), Voxmind's technology is rooted in deep expertise in signal processing, mathematical modelling, and vocal biomechanics.
The founding insight was that traditional voice biometrics fail because they rely on surface-level acoustic features that AI can now replicate. Voxmind takes a fundamentally different approach - analysing phoneme-level frequency patterns that reflect the physical structure of each person's vocal tract. These biomarkers are extraordinarily difficult for synthetic voices to reproduce, regardless of the language spoken.
This physics-based approach is why Voxmind's engine works across every language on earth without per-language models, runs in under 500MB of runtime memory with no GPU required, and detects deepfakes with 99.8% accuracy.
Leadership
The team building and scaling Voxmind today
JKJaikiran Keerthi
CEO & Founder
Nine years in the energy sector designing mission-critical infrastructure for SCADA systems, trading platforms, and high-availability environments across finance, retail, and utilities. Deep expertise in AWS, fraud prevention architecture, and building systems where downtime isn't an option.
At Voxmind, Jai leads product strategy, enterprise partnerships, and the technical roadmap, from OEM hardware integration to edge deployment optimisation.
ACAidan Connor
CTO
Technology leader with deep experience delivering enterprise-scale digital transformation across AI, cybersecurity, cloud infrastructure, and high-performance platforms.
At Voxmind, Aidan leads platform architecture, security, and enterprise readiness, ensuring the voice biometrics engine is scalable, low-latency, and built to withstand AI-driven threat environments. He has a track record of turning emerging technologies into secure, commercially deployable products, with a focus on integration velocity, operational resilience, and measurable customer impact.
Milestones
Patent-Pending Technology
Phoneme frequency biometrics filed with international patent protection (IPE filing receipt on record).
Barclays Accelerator Alumni
Selected for the Barclays Accelerator programme. Finalist at the 10th Annual Barclays Entrepreneur Awards.
DIACC Member
Member of the Digital ID & Authentication Council of Canada, contributing to global identity standards.
AWS & GCP Backed
Supported with infrastructure credits from both AWS and Google Cloud for Startups programmes.
OEM Partnership Active
Signed engineering partnership with a Fortune 500 communications platform for on-device voice biometric integration.
Completely Language Agnostic
Physics-based approach works across every language on earth - no per-language models or configuration required.