Voice lag created awkward clinical pauses. Caching common queries cut latency 4x and AI costs 70%.
A voice-first behavioral health platform helps caregivers analyze patient conversations and detect symptoms during in-person and telehealth sessions.
Latency from direct LLM calls created awkward pauses that eroded trust during sensitive clinical interactions, while scaling usage led to...
AI platform for generating animated videos from text prompts.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Building an agent took 50 people weeks of work. A bank now designs and tests the same tool in just four days.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Voice lag created awkward clinical pauses. Caching common queries cut latency 4x and AI costs 70%.
A voice-first behavioral health platform helps caregivers analyze patient conversations and detect symptoms during in-person and telehealth sessions.
Latency from direct LLM calls created awkward pauses that eroded trust during sensitive clinical interactions, while scaling usage led to...
AI platform for generating animated videos from text prompts.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Building an agent took 50 people weeks of work. A bank now designs and tests the same tool in just four days.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.