back_office_ops · workflow
Dropbox integrates Mobius Labs' Aana multimodal AI models into Dash for scalable media understanding
Content spanning text, images, audio, and video is scattered across countless apps and tools, making it hard to search and find insights quickly—and processing that content at exabyte scale becomes cost-prohibitive with conventional architectures.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Multimodal content ingestion
Aana takes in files of all kinds—demo videos, audio interviews, photo libraries—and analyzes them together.
Tools used
AanaAana SDKHQQGemliteDropbox Dashfaster-whisper-large-v3-turbo
Outcome
Aana enables Dropbox Dash to analyze multimedia content at exabyte scale with dramatically lower compute costs than conventional architectures, enabling natural language queries across video, audio, and image content without manual searching.
Results
Cost replaceddramatically lower compute and memory costs
Grounding & classification
Source type: technical build writeup
26 fields verified against source quotes.
computer visionenterprise searchspeech to textsummarizationcall recordingknowledge basemeeting recordingmetric backednamed customertools describedworkflow describedmediasoftwarecost reductionemployee productivitytechnical build writeupback office opsrag answering