Graphite
Video generation
Past campaigns relied on static images. Engineers use AI to write personalized video scripts mapped directly to pre-built 3D scenes.
- 100x reduction in project bandwidth and storage
- Deployment time reduced from weeks to days
Frame-by-frame analysis bottlenecked R&D. Direct video processing cut development to two weeks, enabling a launch in just one month.
An intelligent camera solution provider serves over 10 million users across 168 countries with security and elder care products.
Traditional video analysis relied on resource-intensive frame-by-frame image extraction, creating technical complexity that made it difficult to...
“We chose to work with AWS because its generative AI offerings provide high price-performance, a flexible choice of models, and extensive experience in global compliance deployment.”
Vision AI software for senior fall detection and home security monitoring.
Cloud computing platform and on-demand infrastructure services.
Kami Vision's Video event detection is part of this use case:
Related implementations across industries and use cases
Past campaigns relied on static images. Engineers use AI to write personalized video scripts mapped directly to pre-built 3D scenes.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Frame-by-frame analysis bottlenecked R&D. Direct video processing cut development to two weeks, enabling a launch in just one month.
An intelligent camera solution provider serves over 10 million users across 168 countries with security and elder care products.
Traditional video analysis relied on resource-intensive frame-by-frame image extraction, creating technical complexity that made it difficult to...
“We chose to work with AWS because its generative AI offerings provide high price-performance, a flexible choice of models, and extensive experience in global compliance deployment.”
Vision AI software for senior fall detection and home security monitoring.
Cloud computing platform and on-demand infrastructure services.
Kami Vision's Video event detection is part of this use case:
Related implementations across industries and use cases
Past campaigns relied on static images. Engineers use AI to write personalized video scripts mapped directly to pre-built 3D scenes.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.