Multimodal detection
Analyzes text, images and video for signals of AI-generated content.
ORIVFYInvestor information
Help build the trust layer for the AI era.
Orivfy helps organizations know whether the digital content they rely on is real. We analyze text, documents, images and video for signs of AI generation or manipulation before that content influences an important decision.
This page is for information and non-binding expressions of interest only. It is not an offer to sell securities. No payment or investment commitment is being accepted.
Why Orivfy
Traditional systems verify data. Orivfy verifies whether the content itself is real.
Generative AI can create convincing documents, images, text and videos. Orivfy adds an authenticity check before a human reviewer or automated workflow relies on that content.
A note from our founder
We built Orivfy because trusting digital content can no longer be automatic.
Every day, organizations make important decisions using documents, images, videos and written information. Generative AI has made it easier to create convincing content that may not be authentic, and many existing systems were not built for that reality.
Orivfy began with a simple question: before an organization relies on digital content, how can it better understand whether that content is real?
We now have a working multimodal product, two active pilots and additional organizations preparing to begin pilots. This round is about turning that early progress into a stronger product, successful deployments and paying customers.
We are inviting a small group of people who know us, believe in what we are building and would like the opportunity to participate at this early stage.
Eseoghene UwheFounder and CEO, Orivfy
3D Verdict
Combines confidence, plain-language reasoning and likely model provenance.
Built for workflows
Supports dashboards and API integration for fraud, compliance and investigation teams.
Commercial progress
Pre-revenue, with active pilots and a growing institutional pipeline.
Orivfy has two active pilots. Additional organizations have signed to participate in pilots and are awaiting commencement. Organization names remain confidential.
Use of funds
What this $60,000 round is intended to accelerate
01
Detection engine and model improvement
$20,00002
Product and enterprise integrations
$12,00003
GPU and cloud infrastructure
$10,00004
Security, legal and compliance
$8,00005
Institutional deployment and sales
$7,00006
Operating reserve
$3,000The next 12 months
What progress should this round create?
Make the product stronger. Improve and independently evaluate detection performance across text, images and video.
Prepare for enterprise use. Strengthen the dashboard, API, security and deployment experience.
Turn pilots into customers. Support current and signed pilots and work toward repeatable institutional revenue.