AI Video KYC Agent by NextNeural enables secure, scalable identity verification using multi-speaker detection, lip-sync checks, audio analysis, APIs, and cloud-agnostic deployment.

India’s digital transformation has been much talked about. It has created unprecedented opportunities as well as equally unprecedented security challenges. According to the Government of India's Press Information Bureau, cybersecurity incidents in the country have surged dramatically, rising from 10.29 lakh in 2022 to 22.68 lakh in 2024, more than doubling in just two years. With over 76% of Indian households now connected to the internet, the possibility of cyber fraud is real, making cybersecurity a national priority.
Parallel to this, India’s identity verification infrastructure, built on Aadhaar and eKYC, has scaled substantially. In February 2025 alone, nearly 43 crore eKYC transactions were performed, growing almost 14% year-on-year, while overall Aadhaar authentication transactions crossed 14,555 crore cumulatively.
The research forecast for the eKYC market in India shows strong growth, expanding from an estimated USD 26.3 million in 2024 to nearly USD 139.3 million by 2033, at a CAGR of over 20%. For banks, NBFCs, insurance companies, and digital platforms onboarding thousands of customers daily, regular digital verification processes are no longer sustainable. This is where AI-powered Video KYC solutions can jump in.
The AI Video KYC Agent by NextNeural is designed to process recorded KYC sessions and determine whether they meet verification standards: combining computer vision, speech understanding, fraud detection logic, and API-first flexibility.
Core capabilities include:
To use the agent, you’ll need these API keys listed below:
Access may take up to 18–24 hours because of the verification process.

Once logged in, this is what the set-up looks like:


5. Navigate to Agents, choose AI Video KYC, and click Launch Agent.

6. Open Settings and add your API keys.

Now you can interact with the service via terminal or your backend — starting with a health check.
curl -i https://nextneural-admin.superteams.ai/api/agents/kyc_agent/health

curl -L "https://nextneural-admin.superteams.ai/_api/knowledgebase/projects" \
-H "Authorization: Bearer <API-KEY>" \
-H "Content-Type: application/json"
The response would look like this:
[{"id":75,"name":"Database","description":"","created_at":"2025-12-16T09:58:21.309337Z","document_count":1}]
curl 'https://nextneural-admin.superteams.ai/_api/knowledgebase/projects/' \
-H 'accept: application/json' \
-H 'authorization: Bearer <API-KEY>' \
-H 'content-type: application/json' \
--data-raw '{"name":"project1","description":"project for AI KYC VIDEO"}'
The response would look like this:
{"id":80,"name":"project1","description":"project for AI KYC VIDEO","created_at":"2025-12-17T09:03:45.969195Z","document_count":0}%
Keep the project-id with you; we need it in the next step.
curl --location 'https://nextneural-admin.superteams.ai/_api/knowledgebase/documents/upload/<project-id>/' \
-H 'Accept: application/json' \
-H 'Accept-Language: en-US,en;q=0.5' \
-H 'Authorization: Bearer <API-KEY>' \
-F 'file=@/home/vide_kyc.mp4'
The output looks like this:
{"id":145,"title":"video_kyc.mp4","document_type":"other","created_at":"2025-12-17T09:40:44.860897Z","file":"https://prod-nextneural.s3.amazonaws.com/media/knowledgebase_documents","is_indexed":false}%
Capture the document-id and file URL from the response.
curl -X POST "https://nextneural-admin.superteams.ai/api/agents/kyc_agent/kyc_process" \
-H "Authorization: Bearer <API-KEY>" \
-H "Content-Type: application/json" \
-d '{
"file_name": "https://prod-nextneural.s3.amazonaws.com/media/knowledgebase_documents/video_kyc.mp4?X-Amz-Algorithm=AWS4",
"document_id": 145,
"force_reprocess": false
}'
Note: While passing filename, ensure there are no backslashes in the URL, or an error of invalid JSON would pop up.

The NextNeural Video KYC Agent is more than just an automation tool—it's a comprehensive defense system against modern identity fraud. By combining multiple detection layers including multi-speaker analysis, lip sync verification, noise detection, advanced OCR, audio parsing, and deepfake detection, the platform addresses the full spectrum of contemporary fraud techniques.
If you’re exploring how intelligent agents can simplify complex enterprise workflows, from secure onboarding to continuous compliance, this is a good place to start. Try out the Video KYC Agent, experiment with the APIs, and see how NextNeural’s agents can be orchestrated to solve real-world verification and trust challenges at scale.
Fill out the onboarding form to get access.