Wayve GAIA-2 / GAIA-3
https://wayve.ai/thinking/gaia-3/
All surround-camera views encoded through video tokeniser to continuous latent; past latent sequences serve as explicit temporal context via space-time factorised transformer. GAIA-3 (15B params, 2× GAIA-2 size, 10× training data) adds safety-critical scenario generation + embodiment transfer.
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 52 cited facts, 0 with a third-party source · Suggest a correction
At a glance
- Type
- Multi-view latent diffusion world model vendor fix
- Tier
- T1
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- searched not found fix
- Funding
- $2.5B total Series D · 2026-02 vendor fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- vector
- retrieval
- attention
- persistence
- session
- update
- append-only
- unit
- episode
- governance
- opaque
- conflict
- append
When to use
Optimised for: real-time perception + spatial reasoning + multi-modal sensor fusion
Anti-fit: not for non-embodied / non-physical use cases
Pros & cons
Pros
Generative world model trained on real driving data — memory is the world simulation itself; strong generalization across geographies.
Cons
Autonomous driving scope only; closed weights; production deployment in vehicles still in pilot.
Claims & capabilities
5× lower synthetic-test rejection rate vs GAIA-2 (Wayve internal eval).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Research/internal tool — not sold separately
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Alternatives to Wayve GAIA-2 / GAIA-3 → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- Abridge T1
Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.
- ASAPP GenerativeAgent T1
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (51 cited facts, 0 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Multi-view latent diffusion world model vendor
- What it does & what's distinct All surround-camera views encoded through video tokeniser to continuous latent; past lat… vendor
- Claims / benefits 5× lower synthetic-test rejection rate vs GAIA-2 (Wayve internal eval). vendor
- Modalities vision + sensor vendor
- Created 2025-03 paper
- Citations Too recent — GAIA-2 (arxiv 2503.20523 submitted March 26 2025); no S2 count confirmed paper
- Funding $2.5B total Series D · 2026-02 vendor
- Customers / scale 201-500 ppl Mercedes-Benz, Nissan, Stellantis, Uber (Series D investors + partners) vendor
- Deployment Research/internal tool — not sold separately vendor
- HQ UK (London) vendor
- Founders / pedigree Wayve (London autonomous driving); founder Alex Kendall (Cambridge robotics PhD) vendor
- Memory volume / scale no scale claim (15B params; closed weights) vendor
- Performance Wayve GAIA-2: video-generation FVD scores and controllability metrics (vendor research b… vendor
- Reproducibility Original team only (Wayve internal; code and weights not released) vendor
- Code/weights release Paper only (no code release; proprietary Wayve research) vendor
- Versioning model-version semantics (policy checkpoints) vendor
- Namespace primitives robot-per-instance (per-robot memory) vendor
- Contradiction handling always append (no resolution) paper
- Forgetting policy episode-based memory; long-term memory module retains landmarks; episodic memory pruned … vendor
- Validated verticals robotics (humanoid, manipulation), autonomous-driving, embodied AI research vendor
- Time to running weeks-to-months (custom robot/vehicle integration) or research-only code release vendor
- Anti-fit not for non-embodied / non-physical use cases vendor
- Optimised for real-time perception + spatial reasoning + multi-modal sensor fusion vendor
- Adjacent infrastructure requires robot / vehicle hardware + sensor stack vendor
- Pros Generative world model trained on real driving data — memory is the world simulation its… vendor
- Cons Autonomous driving scope only; closed weights; production deployment in vehicles still i… vendor
- Project & sources GAIA-3 arxiv 2503.20523 vendor
- obs-langsmith no vendor
- obs-opentelemetry no vendor
- obs-datadog no vendor
- obs-helicone no vendor
- obs-weave no vendor
- obs-langfuse no vendor
- obs-arize no vendor
- obs-custom Closed autonomous-driving foundation model; no public observability vendor
- cost-token-budget no vendor
- cost-prompt-caching no vendor
- cost-semantic-caching no vendor
- cost-batching no vendor
- cost-model-routing no vendor
- cost-streaming-only no vendor
- cost-observability-cost-attribution no vendor
- eval-langsmith-evals no vendor
- eval-braintrust no vendor
- eval-weights-and-biases-agent no vendor
- eval-helicone-evals no vendor
- eval-custom-test-harness yes vendor
- eval-human-loop no vendor
- eval-production-traffic-replay yes vendor
- licensing-bucket commercial vendor
- taxonomy-three-layer-rollup agent-infra repo