PI
ENT-00000900 · Foundation Model

Perceiver IO

Perceiver IO is a documented foundation model associated with Google DeepMind.

Level V — PersistentActiveDocumented
Human readable record

Overview

Perceiver IO is documented as a foundation model or model-family record associated with Google DeepMind. Its relevance comes from architecture designed to process arbitrary input and output modalities. The entity is useful for tracing model lineage, provider strategy, capability evolution and relationships between assistants, APIs and downstream products.

Timeline

  1. 2021Perceiver IO public reference

    Perceiver IO is publicly documented in relation to Google DeepMind.

Capabilities

Language or multimodal model capabilityAPI or deployment integrationReasoning, generation or representation learningModel-family relationship mapping

Known limitations

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Technical and registry detail

Technical description

Structured record for Perceiver IO. The technical layer identifies entity type Foundation Model, organization Google DeepMind, source anchor https://deepmind.google/discover/blog/building-architectures-that-can-handle-the-worlds-data/, capability fields, limitation fields, timeline event, source records, tags (Google DeepMind, Foundation Model, Documented AI) and graph relationships for machine-readable registry integration.

Controlled tags

Google DeepMindFoundation ModelDocumented AIgeneral-purpose
Relationship graph
Perceiver IO
Associated OrganizationGoogle DeepMind

Google DeepMind is the organization or ecosystem associated with Perceiver IO.

Creator or DeveloperDeepMind

DeepMind is identified as a creator, developer or originating actor for Perceiver IO.

Registry CategoryFoundation Models

Model-level entity connected to the foundation-model layer of the registry.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00000900",
    "name": "Perceiver IO",
    "alternateName": [],
    "additionalType": "Foundation Model",
    "description": "Perceiver IO is a documented foundation model associated with Google DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00000900",
    "sameAs": "https://deepmind.google/discover/blog/building-architectures-that-can-handle-the-worlds-data/",
    "lxkeysWorld": {
        "classification": "general-purpose perception architecture",
        "organization": "Google DeepMind",
        "originContext": "Research model",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Language or multimodal model capability",
            "API or deployment integration",
            "Reasoning, generation or representation learning",
            "Model-family relationship mapping"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Google DeepMind",
            "Foundation Model",
            "Documented AI",
            "general-purpose"
        ],
        "timeline": [
            {
                "date": "2021",
                "title": "Perceiver IO public reference",
                "description": "Perceiver IO is publicly documented in relation to Google DeepMind."
            }
        ],
        "relationships": [
            {
                "target": "Google DeepMind",
                "type": "Associated Organization",
                "description": "Google DeepMind is the organization or ecosystem associated with Perceiver IO.",
                "evidence_level": "documentary"
            },
            {
                "target": "DeepMind",
                "type": "Creator or Developer",
                "description": "DeepMind is identified as a creator, developer or originating actor for Perceiver IO.",
                "evidence_level": "documentary"
            },
            {
                "target": "Foundation Models",
                "type": "Registry Category",
                "description": "Model-level entity connected to the foundation-model layer of the registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Perceiver IO official reference",
                "url": "https://deepmind.google/discover/blog/building-architectures-that-can-handle-the-worlds-data/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.