This is not a solicitation for securities

Resolving identity across
the visual record.

PhotoGraph is an AI-powered visual entity resolution platform that automatically identifies and links the same individuals across massive image collections — without any data leaving your environment.

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What We Do Is Different ~ Very Different
Everyone else approach
✕ Everyone Else
  • Manual photo labeling & tagging
  • Custom model training required
  • Forces you into a new technical architecture
  • Limited, fragmented results across ages
PhotoGraph approach
✓ PhotoGraph
  • Automatic entity resolution — zero training
  • Pre-trained models, works out of the box
  • No external dependencies - all in your environment
  • A complete life story: diapers to grandparent
Working software with proven real-world deployments
Patent-pending Graph Resolution Core (GRC) methodology
Founded by former federal-scale identity architects
1B+
Node-scale entity resolution architecture, field-validated
Active
Live pilot deployment at a real historical organization
Pending
US patent application on core visual entity resolution IP
2x
Co-founders with 20+ combined years in federal identity systems

The Problem

Vast collections.
No way to find the person.

Genealogy platforms, historical archives, and stock photo repositories, to name a few, hold millions of images — but lack the tools to connect appearances of the same individual across time, aging, and variation.

  • 01
    Dark, stranded inventory

    Billions of photographs exist in enterprise archives with no identity linkage — invisible, unsearchable, and commercially inert.

  • 02
    Text dependencies

    Existing solutions for entity resolution (ER) require links between ages or aliases to use text-based ER which leave many potential image matches lost and wasting storage space with no revenue generation.

  • 03
    Aging and variation defeat naive matching

    Standard facial recognition fails across decades of aging, generational and familial resemblance, and the quality variations of historical photography.

Other solutions — siloed, unlinked
Other solutions — siloed, unlinked images
Our solution — resolved identities
After PhotoGraph — resolved identity network
✦ Same individual — resolved across decades

The Platform

Graph-native intelligence,
deployed on your infrastructure.

PhotoGraph combines GPU-accelerated graph analytics, computer vision, and our proprietary Graph Resolution Core (GRC) to resolve identities at scale — inside your security perimeter.

Graph Resolution Core (GRC)

Our proprietary graph structure aggregates multi-hop visual similarity evidence around each resolved identity — dramatically reducing false matches from familial resemblance and aging.

Patent Pending

GPU-Accelerated Resolution

Industry-standard GPU graph analytics enable community detection and similarity scoring at billions-of-node scale, processing large collections in minutes rather than days — on hardware you already own.

GPU Analytics

Sovereign Deployment

Full on-premises operation via Docker/NAS infrastructure. No image data, embeddings, or identity graphs ever leave the customer's environment — by design, not policy.

On-Premises

Computer Vision Pipeline

We use one-shot, pre-trained CNNs for initial image processing — not custom-trained or tuned weights. This means PhotoGraph proves it can work effectively in any customer's environment, with no data collection or model training required.

No Training Required

Graph Database Foundation

A purpose-built identity schema — resolved persons, individual instances, face embeddings, and source images — supports deep traversal, graph-query languages, and natural language interfaces on industry-standard graph database technology.

Graph DB · API

Natural Language Interface

Option to use LLM-powered Graph-Augmented Generation enables non-technical users to query identity graphs in plain English — ask who appears where, across an entire archive, instantly.

LLM · Graph Query

Target Verticals

Built to keep your data
yours.

PhotoGraph was designed for data-sovereign enterprises — where companies want to maximize their IP and proprietary data, or AI solutions are disqualified by law, regulation, or institutional policy from being cloud-based or cannot allow external dependencies.

  • I
    Genealogy & Historical Archives

    Large genealogy platforms and newspaper archive services hold hundreds of millions of images with no person-level navigation. PhotoGraph unlocks net-new subscriber features and previously invisible inventory.

  • II
    Historical Societies & Libraries

    Institutions with deep photographic collections gain the ability to surface and cross-link individuals across their entire holdings — creating new research tools and donor-engagement opportunities.

  • III
    Fraud and Security Companies

    Companies with strict data sovereignty requirements can deploy within their own secured environments, enabling identity resolution that is categorically unavailable via any commercial cloud service.

  • IV
    Enterprise Media Archives

    Studios, news organizations, and media companies with legacy photo libraries gain searchable, person-indexed collections — enabling rights management, licensing, and content discovery.

Investment Thesis

Revenue generating,
not just cost saving.

PhotoGraph is not a cost-reduction tool. It enables data-sovereign enterprises to offer net-new product capabilities their customers cannot find anywhere else — creating durable, recurring license revenue from previously untapped inventory.

The market for sovereign-deployment, dark-data-to-structured-intelligence platforms is proven and growing. PhotoGraph extends that model directly into visual identity — a category with no comparable solution today.

$20B
Global identity resolution market, projected 2028
Zero
Comparable visual identity solutions in market

Live Deployment

Not a demo. Deployed.

PhotoGraph is running in production today — not in a sandbox, not on synthetic data.

Active Pilot Client
Historical Society in Wisconsin

PhotoGraph is live-deployed with a historical society and used to process their entire institutional photographic archive. Results found individuals across their life from different donors collections, therefore revealing life histories and providing public and research users with access to content not available before.

Live & Operational
On-Prem
Deployed on Docker infrastructure — no cloud dependency
Graph
Full identity graph built from real historical photographs on industry-standard graph DB
Multiple GPU
Industry-standard GPU analytics processing on multi-GPU system
API Ready
FastAPI endpoints operational for downstream integration

Entity Resolution for the Ages

Revenue generating,
not just cost saving.

PhotoGraph is purpose built to help you find all the images of a person no matter where they show up, no matter the age, matched from a single photo - in a reflection off a helmet, in a dark corner, partially obscured by a hand - and that unlocks revenue.

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Disclosures: This website content is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy securities. Any offer will be made only through formal offering documents and only to qualified investors.

This presentation contains forward‑looking statements, including projections, estimates, and future expectations. These statements involve risks and uncertainties, and actual results may differ materially. The company undertakes no obligation to update these statements.