Search failed at complex tasks. Orchestrating 9 models and 80 tools allowed a 20-person team to ship 8 features in 70 days.
A 20-person startup initially operated an AI search engine designed to help professionals synthesize and structure information.
User demand shifted from simple answers to tangible outcomes, such as creating pitch decks or making phone calls. The existing search platform could...
“OpenAI has been supporting Genspark from the beginning. Their APIs didn’t just power our models, they helped our 20-person team build, launch, and scale faster than anyone thought possible.”
AI workspace and agentic search engine for generating docs, slides, and web pages.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
IT and security teams juggled 40 browser tabs and spent days provisioning access. Now, AI agents execute these workflows in minutes.
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.
Search failed at complex tasks. Orchestrating 9 models and 80 tools allowed a 20-person team to ship 8 features in 70 days.
A 20-person startup initially operated an AI search engine designed to help professionals synthesize and structure information.
User demand shifted from simple answers to tangible outcomes, such as creating pitch decks or making phone calls. The existing search platform could...
“OpenAI has been supporting Genspark from the beginning. Their APIs didn’t just power our models, they helped our 20-person team build, launch, and scale faster than anyone thought possible.”
AI workspace and agentic search engine for generating docs, slides, and web pages.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
IT and security teams juggled 40 browser tabs and spent days provisioning access. Now, AI agents execute these workflows in minutes.
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.