Powering decisions that win
The brands your competitors are watching
Seven data types, collected to your requirement.
Multimodal
Two or more signals captured together and delivered linked.
Bespoke multimodal data, built to your spec.
The paired data your model needs, with each piece already lined up.
Why multimodal models fail.
When the pieces are paired loosely or pulled from different places, the model misreads how they fit together.
Looks fine on tidy pairs, slips when the pieces fall out of sync.
Holds up where the pieces arrive together.
What stitched multimodal data misses.
Rwazi captures the pieces together from real people, so your model learns how they connect before it ships.
Real multimodal samples for cases like yours.
A requested pack arrives as linked pairs for your task, each carrying demographic metadata and a shared identifier, dropped into your cloud.
Audio with video, captured together as one clip.
Gated requestImage with text, joined by a shared identifier.
Gated requestLocation with metadata, aligned in the same record.
Gated requestCustom combinations, assembled per job.
Gated requestWhat we capture, to your spec.
Paired your way, ready-made or built to brief.
We cover both ends, ready-made pairs or custom-assembled. You pick how the pieces come together.
Ready-paired capture
For combinations we collect together. Audio and video as one clip, captured and linked at the source.
Assembled per job
For custom combinations. Specific sets paired and synced to a tight brief.
Real-world multimodal data, from 190+ countries.
Most multimodal sets come from a handful of mature markets, so models stumble elsewhere. Rwazi pairs the data across 190+ countries and 100+ languages, captured by local people where it actually happens.
- 190+ countries
- 100+ languages
- audio, video, image, text, and location
- truly paired
- real-world or controlled
What sets Rwazi multimodal apart?
Built for the multimodal AI you are shipping.
Vision-language models and VQA.
Vision-language models need real image and text pairs at scale.
Image and text joined by a shared identifier, collected to your spec.
Multimodal datasets for the task you are training.
Rwazi builds multimodal training data for machine learning, scoped to the task, including:
From your spec to your cloud, in four steps.
Run it as a one-off project or a recurring refresh, weekly or monthly.
How Rwazi compares to other providers.
The same data, captured in the physical world. Here is how that stacks up against the alternatives.
Rwazi plays in physical-world-first AI.
5 million mobile users collecting authentic data from real environments in 190+ countries. Making your models more competitive with real life data.
Every paired record earns its place in your dataset.
You set the pass-or-reject criteria. People check each paired record against them, log who captured it, where, and when, and confirm what passed before the set reaches you.
Tell us your scope or book a live demo with us.
Contact The Rwazi AI Datasets Team
Book A Live Demo
Questions teams ask before they buy.
What is multimodal data?+
Data that pairs two or more signals, such as audio with video or image with text, is used to train multimodal and vision-language models. Rwazi builds it to your brief across 190+ countries.
How are the modalities linked?+
Audio and video are captured together as a single clip; images and text are linked by a shared identifier; and location and metadata are stored in the same record.
What languages and coverage do you have?+
100+ languages across 190+ countries, captured from real contributors.
What formats and delivery do you support?+
MP4, JSON, and paired files, delivered to your S3, Azure Blob, GCS, or SFTP.
How do you handle consent and ownership?+
Contributors capture every pair under explicit consent through Rwazi. The set is Rwazi-owned, yours to license or take outright, with provenance on each record.
What does a delivery look like?+
Linked pairs in the formats you choose, QC'd and consistently named, each tagged with age, gender, and location, delivered to your cloud.
What combinations can you collect?+
Audio with video, image with text, and location with metadata, plus custom combinations assembled per job.
Are sets ready or assembled per job?+
Some combinations are ready, such as audio with video. Specific combinations are assembled per job to your spec.
Does it include labeling or captioning?+
The paired data is the deliverable. Labeling, captioning, and alignment can be added as a paid layer.
How is it priced?+
Pricing is per project and depends on the combinations you need, volume, languages, exclusivity versus licensing, and add-ons. Share the brief, and we will scope a quote.
How does this compare to stitched multimodal data?+
Stitched data pairs modalities after the fact and drifts out of sync. Rwazi captures them together, aligned at the source.
Where can I buy multimodal or image-text datasets?+
Rwazi scopes a bespoke multimodal dataset, paired to spec and licensed or owned outright.