Sequential models collapsed under messy workflows. A parallel AI engine now clears 40k requests/second with sub-3s response times.
A customer service platform serving Fortune 500 clients handles complex automation needs with traffic spikes reaching 40,000 concurrent requests per second.
Enterprise requests require navigating fragmented systems like booking engines and loyalty databases, creating messy workflows that brittle...
“Our goal was to orchestrate the many systems a human agent would normally juggle and do it safely at machine speed.”
Agentic AI platform for customer service automation and journey orchestration.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Rigid scripts failed on edge cases. Reasoning agents now plan workflows and adapt to context to resolve complex requests.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Rigid scripts failed on edge cases. Reasoning agents now plan workflows and adapt to context to resolve complex requests.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
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%.
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.