AI Lab
Frontier intelligence.
Refined into product.
Continuity models for multimodal reasoning — video, audio, and images — deployed as products designed to be beautiful.
Rkive Studio:
AI media editor.
See moreEdit and share any media with an AI editor that understands intent, style, and platform context.
Start in chat, refine in manual controls, and ship platform-ready outputs without losing your voice.
What do you need to edit?
Edit a reel using that video. Add dual subtitles and a bold opening title, then keep the pacing clean and fast.
Consider it done.
Base:
Agent workspace
See moreBrowse files, cloud storage, and the internet like they are the same thing. Organize your information as an environment, not a chain of folders. Control access from AI and human members alike.
Join our Discord to request early access
BASE
Workspace name
Unified view across files, cloud, and web.
SPACE
Strategy
SPACE
Product
SPACE
Design
MAP VIEW
Recent updates
View allResearch
View allTEMPO
Temporal Event Modeling for Perception & Organization
TEMPO researches learned temporal event representations for multimodal sequences. Reliable long-horizon multimodal reasoning requires explicit modeling of event boundaries, causal dependencies, and semantic state transitions as first-class representational objects.
STR
Structured Temporal Representation
Model outputs are constrained to a validated, parametrized schema encoding semantic and temporal structure rather than pixel-space or latent-space generation targets.
MFI
Multimodal Fusion Interface
Heterogeneous media inputs — video, audio, images — are normalized into modality-specific token sequences, supporting early and late fusion for architecture-agnostic encoding.
RRE
Rkive Rendering Engine
STR artifacts are executed through a GPU-accelerated rendering pipeline that produces deterministic outputs, specified by the artifact and independent of the authoring model or human.



