
Katerina Andreeva
AI Strategy Advisor, Ex-IBM
“Neural Defend is one of the few teams treating trust as the core problem rather than a feature.”
Built by researchers from
Add our trust layer in your
workflows













Investment, accelerator participation, and infrastructure support; these are not customer relationships.
Awards and recognition
OpenAI · AWS · Amazon Alexa Fund · FirstMark · IBM · Geek Ventures · Techstars



Neural Defend was the only Indian startup among ten global finalists at the Everything AI Startup Pitch Competition during New York Tech Week, presented by a16z. The company won first place and approximately $50,000 in equity-free prize funding.
Judges included Derek Canton, Startup Director at OpenAI; Amrita Sankar, North America Head of GenAI Startup GTM at AWS; and leaders from Amazon Alexa Fund, FirstMark, IBM, Geek Ventures, and Techstars.
The panel recognized Neural Defend’s real-time deepfake detection for strengthening trust in digital onboarding, identity verification, and fraud prevention across financial services and enterprise workflows.
Trusted by industry leaders
Perspectives from advisors, operators, and technology leaders who have reviewed Neural Defend.

AI Strategy Advisor, Ex-IBM
“Neural Defend is one of the few teams treating trust as the core problem rather than a feature.”

CTO, ZMedia
“The integration created a solution that is fast, accurate, and simple to use.”

CEO, Digi Yatra
“Prevention of deepfake attacks will become a hygiene factor for most of us.”

Sales Director, Prove
“We tested the system live—the accuracy and speed were outstanding.”

Co-founder, DIRO
“The ability to detect deepfakes with precision, even from a few frames, is impressive.”

Interim CMO, Techstars
“Their proprietary AI detection tech absolutely stole the show.”
ARCAS 1B · Our foundation model
Public benchmark · VendorBench-100ARCAS 1B leads the public VendorBench-100 evaluation, ahead of specialist vendors and general AI models like Gemini, Claude and GPT.
36% higher detection score (MCC) than the next-best vendor.
Detection quality score (MCC)
ROC-AUC vs MCC
Accuracy on 6 public academic benchmarksReported in the ARCAS 1B paper
Certified & independently assessed
Certified across information security, privacy, and AI governance—with independently assessed controls for regulated deployment.
Processing boundaries aligned to customer data-residency requirements.
Full deployment within customer-controlled infrastructure.
IRDAI and CERT-In directives, with PCI DSS AOC coverage for payment integrations.

Certifications

Information security
Privacy information
AI management

Audited security controls
Independent assurance
Periodic testing by CERT-In empanelled auditors
No customer data retained after processing
Aligned with the OWASP Top 10 for AI and LLM systems
Documented AIIA covering impact and governance
Why Neural Defend
Detect supported media in less than 200 ms.
Proprietary deepfake detection technology developed and controlled entirely in-house.
Built for high-volume, production-critical detection workflows.
Certified across information security, privacy, and AI governance.
Connect Neural Defend and receive a detection result with two lines of code.
Launch managed, on-premises, or air-gapped deployments in less than one day.
Product family
The Neural Defend family brings together NeuroVerify for deepfake identity checks, NeuroDetect for AI-generated or manipulated media, NeuroCall for AI-generated calls and voice-cloning risk, and NeuroMeeting for live-person verification.
Select an instrument
NeuroVerify · Decision
AI-generated identity-media indicators require manual review.
Illustrative output · AI-generated identity-media indicators require manual review.
Explore NeuroVerifyProduct family
Live meeting protection
Coming soonSolutions & Intelligence
Start with the solution your team needs, or explore how deepfake attacks work in the real world.