Capacity
Enterprise search
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
- Summarization time cut from 14s to 5s
- 97% first-shot tagging success rate
- 56% improvement in tagging accuracy
Outages choked millions of queries. Azure stabilized scale and cut workflows from weeks to minutes, growing enterprise revenue 10x.
A rapidly scaling marketing platform serving 10 million users needed to support millions of queries for automated content creation and SEO strategies.
Platform instability led to outages lasting hours, while delays in accessing new AI models hampered the ability to innovate. High latency caused by...
“We were seeing scale in the number of queries we were processing. We were also seeing stability issues, especially AI models going down, which was inconvenient for our users, so we began looking for a stable, enterprise-grade AI-powered platform.”
AI platform for search engine optimization and automated content creation.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Infrastructure limits capped output at 120k images/month. Managed AI removed the bottleneck, driving a 150% surge in customer usage.
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.
Outages choked millions of queries. Azure stabilized scale and cut workflows from weeks to minutes, growing enterprise revenue 10x.
A rapidly scaling marketing platform serving 10 million users needed to support millions of queries for automated content creation and SEO strategies.
Platform instability led to outages lasting hours, while delays in accessing new AI models hampered the ability to innovate. High latency caused by...
“We were seeing scale in the number of queries we were processing. We were also seeing stability issues, especially AI models going down, which was inconvenient for our users, so we began looking for a stable, enterprise-grade AI-powered platform.”
AI platform for search engine optimization and automated content creation.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Infrastructure limits capped output at 120k images/month. Managed AI removed the bottleneck, driving a 150% surge in customer usage.
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.