From Recognition → Transformation → Action

1. Understand What's On Screen

RAPIDEYE understands scenes - not just objects.
Context, relationships,and meaning - in real time.

2. Transforms It in Real Time

Objects inside the video become interactive surfaces.

What you see is no longer fixed.

A viewer can modify the scene itself -
for example, shifting an Aston Martin DB5
from silver to a publisher-approved factory
racing green,rendered naturally with accurate
lighting,texture, and perspective.

3. Act Through Agentic AI

Understanding leads to action.

RAPIDEYE deploys AI agents that execute tasks on behalf of the viewer:

• Find an available Aston Martin DB5 for sale
• Book a restaurant or flight
• Complete actions directly within the video experience

From Watching → Interacting → Acting

Ask about anything

Change what you see

Act instantly - without leaving the story

RAPIDEYE redefines how value is created inside video -
moving beyond advertising to embedded, intelligent commerce.

1 - Embedded Commerce - Not Interruptive Ads

Viewers book, buy, and explore directly within the content itself.

No banners.
No pop-ups.
No pre-roll.

Value is created inside the experience, not around it.

2 - Context-Aware Brand Integration

Products, places, and experiences are dynamically identified and connected to relevant partners in real time.

This transforms brand presence from:

• static placement

Into:

• measurable, interactive, performance-driven engagement

3 - Licensable AI-Native Video Infrastructure

RAPIDEYE provides an integrated CMS, intelligence layer, and interactive viewing experience for media companies, creators, and brands.

Transforming any video into:

• an intelligent, interactive surface
• a commerce-enabled experience
• a scalable monetization system

RAPIDEYE is not just monetizing video.
It is creating a new economic layer.

A - INFRASTRUCTURE REVENUE

Organizations license RAPIDEYE's AI-native video system to create and deliver intelligent, interactive video experiences.

Who: Media companies, streaming platforms, publishers, creators and brands

Revenue:

• Platform / enterprise licensing
• AI processing + usage
• Integration + deployment

B - INTERACTION REVENUE

RAPIDEYE participates in the economic activity created inside the viewing experience.

Generated through: Viewer interaction and transactions

Revenue:

• Commerce + affiliate transactions
• Booking + agentic actions
• Brand integrations + sponsored experiences

One system. Two revenue layers.
As content, usage and viewer interaction scale, both layers expand.

RAPIDEYE has been recognized as a Top Project to Watch for 2026 by SciStarter — ranked above NASA — providing early external validation as we build toward AI-native, real-world video intelligence.

• Data Collection in Motion
  We’ve partnered with SciStarter to source authentic, diverse short-form videos from citizen scientists.
  This is actively expanding RAPIDEYE's real-world intelligence layer and vector database with diverse, continuously evolving video data — not static datasets.
• Creator Pull
  Early creator conversations consistently surface demand for:
  • Contextual audience engagement
  • Monetization that lives inside the story
  • Tools that enhance — not interrupt — their content

Creators need more than distribution.
They’re asking for intelligence inside their content.

• Use Case Validation Across Domains
  We’ve developed and tested interactive video prototypes across key verticals:
  • Lifestyle & Design
    Product recognition, brand discovery, and in-video commerce
  • Food
    Ingredient swaps, contextual queries, and restaurant booking
  • Travel
    Location recognition and seamless booking experiences
  • Wildlife
    Species identification and real-time contextual insight

These are not isolated features.
They are repeatable patterns across categories -
signaling a scalable system.

We’re raising $4M in funding to scale RAPIDEYE in the real world.

1 — TEAM — ~60%

Build a lean, high-impact team across engineering, AI, product/design and commercial development

• Scale to 5 core technical team members
• Add dedicated product/design leadership
• Add partnerships / business development

2 — AI + INFRASTRUCTURE — ~15%

Scale the intelligence and infrastructure layer for production deployment

• AI inference + multimodal processing
• GPU compute + video processing / transformation
• Cloud, storage + streaming infrastructure
• Production infrastructure for growing beta + commercial usage

3 — COMMERCIAL ACTIVATION — ~15%

Convert product capability into adoption, partnerships and revenue

• Beta expansion + creator onboarding
• Brand, commerce + platform partnerships
• Commercial pilots + integrations
• Market development, launch + industry presence

4 — IP + OPERATIONS — ~10%

Protect the platform and build the operating foundation for scale

• Non-provisional + continued patent strategy
• Corporate, commercial + employment legal
• Insurance, finance + company operations
• Operating contingency

18–24 MONTH TARGETS

• Production-scale platform + infrastructure
• Expanded beta → commercial deployments
• Creator, brand + platform partnerships
• Commerce, integration + licensing revenue
• Repeatable usage + monetization economics

This round is not about proving the technology works.
It’s about scaling a system that already does.

Video becomes something we operate, not simply watch.

RAPIDEYE is building toward a future where what exists inside video can become intelligent, explorable and actionable.

EVERYTHING BECOMES A POINT OF INTELLIGENCE

Objects. People. Places. Products. Sources. Ideas.

Each can open into deeper layers of information, be queried or explored, transformed where permitted, or become the starting point for action, while video remains the interface.

FROM RECORDED VIDEO → LIVE INTELLIGENCE

The same intelligence extends to live streaming, continuously understanding what is happening as video unfolds.

THE CMS BECOMES THE GOVERNANCE LAYER

As machine understanding expands, the CMS governs the relationship between machine intelligence and the audience.

Publishers determine what information becomes available, which sources are authoritative, what transformations and actions are permitted, what commercial relationships apply, and what remains protected.

VIDEO BECOMES AN INFORMATION ENVIRONMENT

Instead of information being something viewers leave the video to find, knowledge, context, exploration and action become accessible through what they are already seeing.

Ultimately, streaming media becomes something closer to the internet itself, except alive. Information isn't sitting behind pages and links. It's embedded in what you're seeing, and you can interact with it as it happens.

Led by builders, creatives, and technologists with deep expertise in storytelling, AI, and product innovation.

• Mina Azimov — Founder | CEO
  Product and design leader at NBCUniversal and Showtime. Creator behind RAPIDEYE’s concept and execution, with a track record of blending design, technology, and user experience.
• Steven Alexander — Co-Founder | Lead Engineer
  Software engineer leading the development of RAPIDEYE’s intelligent video interface and annotation system, integrating frontend and backend AI pipelines to enable seamless user interaction.
• Ojas Jagtap — AI Engineer
  Builds RAPIDEYE’s core AI systems and interactive intelligence layer, bridging computer vision, language models, agentic workflows, and user experience to enable real-time video understanding, reasoning, and response.

• Rahul Chithra Shiva — Software Engineer
  Performs full-stack software engineering across RAPIDEYE’s platform infrastructure and user-facing systems, building scalable architecture, interactive experiences, and high-performance applications that power real-time AI-driven video interaction.
• Shan-Wei Chang — Software Engineer
  Develops and optimizes RAPIDEYE’s software infrastructure and platform systems, building reliable, scalable engineering solutions that support real-time AI workflows, interactive video experiences, and seamless product performance.