Atlas
A Durable, Time-Versioned Visual Memory for Every Object
Atlas is the definitive system of record for visual data: a durable, time-layered memory that preserves identity, chronology, and provenance across the entire lifecycle of an object. It reconciles fragmented references, maintains precise timelines of change, and safeguards end-to-end lineage from raw capture to derived insight.
At its core, Atlas is a high-performance graph that interconnects Objects, Captures, Observations, Derived Assets, and Attestations. It sustains identity, provenance, and evolving state over time, forming a resilient foundation for visual intelligence. GPU-accelerated traversals and similarity fan-outs enable responsiveness even under high-cardinality workloads, while advanced graph optimizations, optionally enhanced by quantum-accelerated solvers, push the boundaries of large-scale identity resolution and retrieval.
How It Works
Entity Resolution
Atlas automatically detects and reconciles duplicate references across multiple sources, ensuring that every visual object is consistently represented. Each unique entity is assigned a persistent global object ID, creating a stable anchor point for all future observations, analyses, and derived assets.
Temporal Layering
Every condition change is recorded as a time-series. With full bitemporal support, the system distinguishes between when an event was observed and when it was logged, enabling precise historical reconstruction and retrospective analytics without loss of fidelity.
Lineage & Attestations
Objects are inseparably linked to the chain of evidence and computations that shaped them. Derived assets retain explicit lineage back to raw data, with verifiable credentials and attestations certifying authenticity, authorship, or compliance. This guarantees traceability and trust at enterprise scale.
Key Features
Bitemporal Versioning and Time-Travel Queries
Reconstruct exact states of a dataset at any historical point, or compare knowledge across timelines. Bitemporal versioning ensures unmatched fidelity for auditing, compliance, and cultural or scientific preservation.
End-to-End Lineage
From raw evidence to final reports, every transformation is fully traceable. This guarantees transparency, reproducibility, and trust across research, regulatory, and legal environments.
Secure & Verified Data Governance
Fine-grained row and edge-level access controls combine with integrity-verified ingest and export pipelines. Structured manifests and cryptographic validation ensure that sensitive data remains protected, tamper-resistant, and compliant while enabling safe collaboration.
Cross-Ecosystem Interoperability
Adapters for IIIF, glTF, and DICOM eliminate silos, enabling seamless exchange between cultural archives, 3D visualization pipelines, and medical imaging systems.
Atlas Applications
Provenance, Audit, and Compliance
Atlas delivers a tamper-proof framework for end-to-end provenance tracking, capturing every transformation, interaction, and access event across the full lifecycle of visual data. This immutable chain of custody ensures that organizations can not only comply with regulatory requirements but also demonstrate accountability with verifiable evidence at every stage. From research labs to cultural heritage institutions to regulated industries, Atlas establishes trust through transparency, providing an auditable foundation upon which critical decisions and certifications can be reliably based.
Lifecycle Analytics of Assets and Fleets
By recording state changes with temporal precision, Atlas enables longitudinal analytics that extend far beyond traditional monitoring. Assets, collections, or fleets can be observed across years, with condition data, maintenance logs, and performance signals converging into a dynamic, evolving narrative. This continuity allows organizations to detect early warning signs, optimize lifecycle costs, and uncover strategic patterns transforming raw historical records into predictive intelligence that informs preservation, operational efficiency, and future planning.
Secure Cross-Organization Collaboration
Atlas establishes dedicated, cryptographically protected data rooms that empower multiple organizations to collaborate without compromising ownership or exposing entire datasets. Institutions can share curated, purpose-built subsets of information while maintaining strict control over sensitive or proprietary content. This secure model of exchange enables global partnerships to operate on shared intelligence with confidence that confidentiality, integrity, and provenance remain fully preserved.
Atlas Results
Atlas demonstrates industry-leading performance across identity resolution, historical reconstruction, and graph intelligence at scale. Its high merge precision and recall confirm the system’s ability to reconcile duplicate entities while preserving the uniqueness of distinct records, eliminating fragmentation without sacrificing fidelity. Median query latency remains within interactive thresholds, ensuring that even complex time-travel reconstructions can be performed responsively. The richness of link density per object reflects the depth of relationships captured within Atlas’ graph, validating its ability to represent and preserve complex domains as a strategic enabler of trust, accountability, and insight at scale.