Kyc aml · Production

Validia saves 500 hours of developer work and achieves scalable identity verification with Recall.ai

The problem

Validia needed a bot that could pull audio and video from major video conferencing platforms for real-time deepfake detection and identity authentication, but building platform-specific bots proved too complex and unscalable for their developer team.

First attempt

Validia's initial attempts to build their own video conferencing bots were quickly abandoned when the complexity exceeded expectations and the solutions proved unlikely to scale for large enterprises.

Workflow diagram · grounded in source
1
Meeting audio/video ingested
trigger
“pulling audio and video analysis from meetings on Zoom, Microsoft Teams, and Google Meet for their database”
2
Recall.ai bot captures clips
integration
“Validia uses Recall.ai's video conferencing bot API to pull audio and video clips in order to perform our deep fake detection and identity authentication”
3
Biometric embedding comparison
ai_action
“we'll compare it against our underlying database, which is using those biometric embeddings to produce a result whether someone is authenticated or not”
4
MFA handoff
output
“Then it will kick to an MFA function on our end”
Reported outcome

Validia saved an estimated 500 hours of developer work and now has scalable, cross-platform audio/video capture for real-time deepfake detection and identity authentication.

Reported metrics
Developer hours saved500 hours
Reported stack
Recall.aiZoomMicrosoft TeamsGoogle Meet
Source
https://www.recall.ai/customers/validia
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Validia saved an estimated 500 hours of developer work and now has scalable, cross-platform audio/video capture for real-time deepfake detection and identity authentication.

What tools did this team use?

Recall.ai, Zoom, Microsoft Teams, Google Meet.

What results were reported?

Developer hours saved: 500 hours (source-reported, not independently verified).

What failed first in this deployment?

Validia's initial attempts to build their own video conferencing bots were quickly abandoned when the complexity exceeded expectations and the solutions proved unlikely to scale for large enterprises.

How is this kyc aml AI workflow structured?

Meeting audio/video ingested → Recall.ai bot captures clips → Biometric embedding comparison → MFA handoff.

Related kyc aml cases