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.
Related implementations across industries and use cases
Standard inference stalled at 1k tokens/sec. A custom engine hit 10k/sec, cutting 20-second refactors to under 400ms.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Fragmented integrations bottlenecked testing. Centralizing on Bedrock doubled throughput to benchmark coding models in parallel.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Teams took thousands of manual photos. Now, AI maps a 360° video walk to plans in minutes, cutting documentation time by 90%.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Related implementations across industries and use cases
Standard inference stalled at 1k tokens/sec. A custom engine hit 10k/sec, cutting 20-second refactors to under 400ms.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Fragmented integrations bottlenecked testing. Centralizing on Bedrock doubled throughput to benchmark coding models in parallel.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Teams took thousands of manual photos. Now, AI maps a 360° video walk to plans in minutes, cutting documentation time by 90%.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.