Use case type

Multimodal analytics

Turns multimodal data into actionable insight.

Use cases

3

Examples

3

Industries

2

Timeline

3 mo

Data updated just now

Adoption over time

Documented cases per month

By case publish month · completed months only

2 cases documented across 18 months (Jan 25 – Jun 26), peaking at 1 in January 2025.

1 so far in July 2026 (in progress, not charted)

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

3 shown from 3 use cases

GCPJul 1, 2026

Every Cure: Drug repurposing using Gemini Enterprise Agent Platform with BigQuery/Cloud Storage accelerated from 100 days to ~17 hours

Every Cure is a nonprofit that uses Google Cloud to match existing drugs against recognized diseases and accelerate drug repurposing research.The platform compares millions of drug-disease combinations using a unified biomedical knowledge base that brings together published research, clinical data, and molecular biology.Scientists and physicians review the top-ranked predictions to identify promising repurposing opportunities faster than traditional studies.

Every CureHealthcare
Jun 15, 2026

Johnson & Johnson MedTech Polyphonic—multimodal surgical AI ecosystem on AWS

Johnson & Johnson MedTech is building Polyphonic, an open, device-agnostic multimodal AI ecosystem for surgery.The platform captures intra-operative surgical video, imaging, device logs, and EHR signals, curates de-identified datasets, develops models, and embeds AI solutions into the clinical workflows where surgeons and care teams work.AWS provides the architecture foundation, including EKS Auto Mode, Aurora PostgreSQL, Control Tower, and OpenSearch, to handle data volume, AI workloads, and compliance requirements.

Johnson & Johnson MedTechHealthcare
GCPJan 1, 2025

MacroFactor: Gemini 2.5 Flash meal photo logging with Firebase AI Logic + Vertex AI

MacroFactor uses Firebase, Flutter, and Gemini to scale its nutrition app to 400k+ users and deliver trusted AI-powered food logging.The app lets users log meals by photo, prompts Gemini 2.5 Flash directly from the app with Firebase AI Logic, and breaks meals down to ingredient-level nutrition data with editable, transparent results.

MacroFactorConsumer & Food

Common questions

Multimodal analytics at a glance

How many multimodal analytics use cases are documented?
The AI Use Case Hub documents 3 real multimodal analytics deployments across 2 industries, with 3 detailed company examples you can browse.
Which industries adopt multimodal analytics the most?
Multimodal analytics is most common in Healthcare (67%) and Consumer & Food (33%).
Which countries lead in multimodal analytics?
United States leads documented multimodal analytics deployments.
What technologies are used for multimodal analytics?
Teams most often build multimodal analytics with Cloud Storage, BigQuery and Gemini Enterprise Agent Platform.
What AI capabilities power multimodal analytics?
Across the documented deployments, the most common capability patterns are Agent (33%).
What results do companies report from multimodal analytics?
Across the 3 deployments reporting outcomes, companies most often cite other strategic outcome (67%), speed & agility (67%) and new product / capability (33%). Where impact is quantified, the strongest evidence is in time & speed: a median −99.3% across 1 reported metric.