/Companies

Neural Defend

Techstars '25

New Delhi, IN · Founded 2024 · 12 employees on LinkedIn · 5 known investors

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Neural Defend provides deepfake detection technology to protect people and organizations against synthetic media fraud. The company serves enterprises and individuals seeking to verify digital authenticity in an increasingly AI-generated content landscape.

Also known as NeuralDefend

Founders & leadership

Neural Defend was founded in 2024 by Sivashankar Selvarajan.

SSSivashankar Selvarajan
Sivashankar SelvarajanCo-Founder & CTOSivashankar Selvarajan is Co-Founder and CTO of Neural Defend, a deepfake detection and digital identity verification company. He has over 8 years of experience in artificial intelligence and cybersecurity, with prior roles at Intel, Cisco Systems, and Calance, and holds degrees from IIT and IIM.

Investors · 5

Techstarslisted by TechstarsBoulder · $220K

How we know: Techstars's portfolio page · the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us

Also in the syndicate · 4

Inflection Point VenturesleadMIT SBXISoonicorn VenturesTechstars San Francisco

Funding

SEC filings, press & company announcements

$600K disclosed across 1 of 2 rounds · 2025

  • $600Kpre-Seed funding roundMar 2025 · 4 sources

    Inflection Point Ventures (lead), MIT SBXI, Soonicorn Ventures, Techstars San Francisco

    Source ↗

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Sep 2026

Neural Defend is an AI cybersecurity company that develops deepfake detection technology for video, audio, images and documents. The platform is positioned as enterprise-grade and is described as identifying AI-generated manipulations across four media types: video (frame-level analysis, blink and micro-expression tracking, temporal consistency and compression artifact scanning), audio (spectrogram pattern matching, voice cloning signature detection, background noise consistency), images (AI-generation fingerprinting, face-swap boundary detection, metadata integrity, multi-face and lighting/shadow consistency analysis) and documents (manipulation detection and metadata verification).

The company states its proprietary models detect deepfakes across video, image, audio and real-time streams, and that capital raised in 2025 is being directed toward agentic AI capabilities for real-time, multimodal detection alongside R&D and product development. Detection is offered through three deployment modes: a REST API with JSON responses and OAuth2 authentication, native client-side SDKs for mobile and web, and an on-premise Docker deployment intended for air-gapped or data-sovereignty-constrained environments. Integration is described as a three-step process covering authentication, media analysis and enforcement based on returned risk scores. The company reports integrations with Zoom, Microsoft Teams, Google Meet and Webex for real-time protection during video calls.

Neural Defend was founded in 2024 by Piyush Verma (CEO), Sivashankar Selvarajan (CTO) and Sumit Singh (Chief Data Officer), and describes itself as born at MIT and supported by the MIT Venture Mentoring Service. As of March 2025 reporting, the company was pre-revenue and running pilot projects in New York and Singapore.

Founding story

The founders describe leaving established careers to address authenticity in synthetic media: CTO Siva Shankar left an AI industry role after work at Intel, IBM (via UST Global), Axis Securities and Cisco Systems, and CDO Sumit Singh moved from a data role tied to Invesco through Publicis Sapient. CEO Piyush Verma is a two-time founder and former researcher at MIT, Harvard and Tsinghua University who previously founded Manush Labs and the MIT India Initiative. The company describes itself as born at MIT and backed by its Venture Mentoring Service.

Business model

Neural Defend sells deepfake detection as a technology platform to organizations, offered via REST API, native SDKs for mobile and web, and on-premise Docker deployment behind a customer firewall. As of March 2025 the company was reported to be pre-revenue, engaging global enterprises, fintech firms and financial institutions for product validation and market expansion.

Traction

As of March 2025 the company was pre-revenue, with pilot projects underway in New York and Singapore and engagement with global enterprises, fintech companies and financial institutions for product validation. The company claims state-of-the-art benchmarks for its technology, and its website cites more than 10 million files analyzed, 100% detection accuracy, sub-one-second processing time and a 99.9% uptime SLA.

Latest developments

In March 2025 the company announced a pre-seed round of over $600,000 led by Inflection Point Ventures with MIT SBXI, Techstars San Francisco and Soonicorn Ventures participating, earmarked for agentic AI capabilities, R&D and product development. Its website cites 2025 recognitions from the Data Security Council of India and selection among the top 12 Bharat AI startups by NPCI and NVIDIA at the Global Fintech Festival 2025.

▸Full profile — market position, technology, go-to-market, geography, history

Market position

Neural Defend positions itself as a specialist in deepfake detection and digital authenticity rather than offering detection as a feature within a broader product. Investor commentary at the pre-seed round cited its real-time detection approach as addressing cybersecurity and digital identity protection needs. The company cites recognition from the Data Security Council of India, NYC Tech Week, and selection by NPCI and NVIDIA among the top 12 Bharat AI startups at the Global Fintech Festival 2025.

Neural Defend contrasts its approach with traditional methods by applying proprietary AI models across multiple data formats simultaneously — video, image, audio and real-time streams — and by using a multi-model ensemble intended to reduce false positives while catching sophisticated manipulations. It also offers a fully on-premise, air-gapped-capable deployment for customers with data sovereignty requirements, and cites two AI patents in face anti-spoof detection held by its CTO.

Technology

The platform uses an ensemble of more than 15 specialized neural networks running concurrent checks, analyzing pixel-level anomalies, temporal inconsistencies, lighting artifacts, compression patterns and synthetic audio cues. The company reports sub-second inference (typically under 800ms) to support real-time use during live video calls and KYC sessions. Funding is being applied to agentic AI capabilities for real-time, multimodal detection. Deployment options include a globally scalable REST API with OAuth2 authentication, native mobile and web SDKs with built-in preprocessing, and a full on-premise Docker image supporting air-gapped operation with no data exit. The company states its technology was built by researchers from MIT and Intel.

Go-to-market

The company markets through a demo-request motion on its website and through enterprise engagement with global enterprises, fintech firms and financial institutions for product validation. It pursues pilot deployments, with projects underway in New York and Singapore, and cites participation in industry events including NYC Tech Week, the Global Fintech Festival 2025 and a live conference demonstration in Las Vegas.

Stated industry segments include vKYC and finance (real-time identity verification and fraud prevention), government agencies, video conferencing platforms, media and news organizations, general enterprise brand and executive protection, and document analysis. The company has been reported engaging fintech companies and financial institutions on video verification and KYC use cases.

Geography

The company operates in India and San Francisco, with pilot projects in New York and Singapore. Investors span Gurugram (Inflection Point Ventures), Boston (MIT SBXI) and San Francisco (Techstars San Francisco).

History

The company was founded in 2024 by Piyush Verma, Sivashankar Selvarajan and Sumit Singh, and describes its origins at MIT with backing from the MIT Venture Mentoring Service. In March 2025 it announced a pre-seed round of over $600,000 led by Inflection Point Ventures, with pilots underway in New York and Singapore and operations in India and San Francisco. The company lists recognition from the Data Security Council of India in 2025, a startup award at NYC Tech Week associated with a16z, and selection among the top 12 Bharat AI startups by NPCI and NVIDIA at the Global Fintech Festival 2025.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Detection accuracy (company-stated)Jan 2025100%
Files analyzedJan 202510,000,000 files
HeadcountAug 202612
Neural networks in detection ensembleJan 202515 models
Processing timeJan 2025<1 second (typically <800ms)
Revenue stageMar 2025Pre-revenue
Uptime SLAJan 202599.9%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 6

by search overlap
Reality Defender5 shared keywordsReality Defender develops an AI platform for detecting deepfakes and synthetic media, serving enterprise organizations to prevent fraud and impersonation. The company offers multimodal detection capabilities through an API and SDK for developers.
Profound3 shared keywordsProfound provides tools for PR and brand teams to monitor and influence how their brands appear in AI answer engines like ChatGPT, tracking brand sentiment and citations across domains. It surfaces earned media opportunities and supports generative engine optimization to improve brand visibility in AI-generated responses.
Attestiv3 shared keywordsAttestiv offers an AI-powered platform that validates digital files—photos, videos, audio, and documents—to detect tampering, deepfakes, and fraud using rules-based and machine learning models, delivered via a dashboard, APIs, and SDKs. It serves enterprises in insurance, financial services, cybersecurity, news and media, and human resources to automate media validation and prevent fraud and losses.
MarketsAndMarkets3 shared keywordsMarketsandMarkets is a market research and growth consulting firm that helps B2B enterprises identify and monetize business opportunities tied to emerging technologies. It offers growth advisory programs and knowledge services including sector research, data analytics, and competitive intelligence, and operates an AI-enabled market intelligence platform.
Sensity3 shared keywordsSensity AI develops deepfake detection technology that identifies synthetically generated or manipulated images, videos, and audio by using deep learning to detect pixel-level and acoustic artifacts left by generative AI. Its forensically robust analysis is aimed at states, organizations, businesses, individuals, and law enforcement handling cases of fraud, harassment, and abuse.
Amogy3 shared keywordsAmogy develops patented ammonia cracking technology that converts ammonia into electric power for hydrogen fuel cells and engines, targeting decarbonization of heavy industries including transportation and maritime. The company offers modular ammonia-to-power systems and high-efficiency catalysts as alternatives to diesel and hydrogen fuel solutions.

Companies competing with Neural Defend for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 5

launches, deals, and filings
Mar 2025
Neural Defend raises over $600,000 in pre-seed round led by Inflection Point Ventures

Neural Defend raised over $600,000 (about Rs 5.2 crore) in a pre-seed round led by Inflection Point Ventures, with participation from MIT SBXI, Techstars San Francisco and Soonicorn Ventures. Proceeds are earmarked for agentic AI capabilities for real-time multimodal deepfake detection, R&D and product development.

$600K source ↗

Mar 2025
Pilot projects underway in New York and Singapore

The company reported running pilot deployments in New York and Singapore while operating from India and San Francisco.

source ↗

Jan 2025
Recognition from the Data Security Council of India

source ↗

Jan 2025
Recognized as one of the Top 12 Bharat AI Startups by NPCI and NVIDIA at Global Fintech Festival 2025

source ↗

Jan 2025
Startup Award Winner at NYC Tech Week (a16z)

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

▸Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Neural Defend do?
Neural Defend builds an enterprise deepfake detection platform for video, audio, image and document authenticity checks.
Who founded Neural Defend?
Neural Defend was founded by Sivashankar Selvarajan in 2024.
Who are Neural Defend's investors?
Neural Defend's investors include Techstars.
How much funding has Neural Defend raised?
Neural Defend has disclosed $600K raised across 1 of its 2 known rounds.
Where is Neural Defend headquartered?
Neural Defend is headquartered in New Delhi, IN.