Jobright
Job matching engine
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
- 100% reduction in database admin overhead
- 40+ interactions per user session
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
A unified health and fitness platform connecting wearables, corporate wellness programs, and certified trainers in a single ecosystem.
Trainers struggled to scale personalized guidance because they had to manually analyze fragmented data across nutrition, sleep, and workout logs. The...
AI-powered fitness platform for corporate wellness and community engagement.
Open-source vector database for building AI applications and search experiences.
Related implementations across industries and use cases
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Tech debt bottlenecked support. A four-month rebuild deployed distinct models for routing and search, enforcing strict data residency.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Shoppers defaulted to processed food. AI now tracks pantry inventory to suggest recipes, boosting scratch cooking by 58%.
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.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
A unified health and fitness platform connecting wearables, corporate wellness programs, and certified trainers in a single ecosystem.
Trainers struggled to scale personalized guidance because they had to manually analyze fragmented data across nutrition, sleep, and workout logs. The...
AI-powered fitness platform for corporate wellness and community engagement.
Open-source vector database for building AI applications and search experiences.
Related implementations across industries and use cases
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Tech debt bottlenecked support. A four-month rebuild deployed distinct models for routing and search, enforcing strict data residency.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Shoppers defaulted to processed food. AI now tracks pantry inventory to suggest recipes, boosting scratch cooking by 58%.
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.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.