Editorial illustration for AgentKit Helps 1M Businesses Build AI Agents in Days, Accelerating Enterprise Innovation
AgentKit Empowers 1M Businesses to Build AI Agents Fast
1M business customers use AgentKit to build AI agents in days
The race to simplify AI agent development is heating up, with AgentKit emerging as a game-changing platform for businesses seeking rapid idea. By enabling companies to build sophisticated AI agents in just days, the startup has quickly attracted over 1 million business customers looking to simplify their technological capabilities.
Enterprise teams have long struggled with complex, time-consuming AI development processes. But AgentKit is changing that narrative, offering a simplified approach that dramatically reduces the traditional months-long deployment timelines.
The platform's rapid adoption signals a significant shift in how organizations approach artificial intelligence solutions. Companies are no longer content with lengthy, expensive development cycles - they want agile, quick-to-market tools that can transform their operational strategies.
Carlyle's recent experience provides a compelling glimpse into AgentKit's potential, highlighting how businesses can now accelerate their AI strategies with unusual speed and efficiency.
- We also made enterprise agents practical to build and deploy with AgentKit, making it possible for teams to go from idea to production in days instead of months. Companies like Carlyle are already seeing results: the AgentKit evaluation platform cut development time on Carlyle's multi-agent due diligence framework by over 50% and improved agent accuracy by 30%. - We also advanced our multimodal models to enable richer workflows--from the Image Generation API and Sora 2 for visual and video creation to gpt-realtime and Realtime API to build production voice agents.
Teams across every industry can now work across text, images, video, and audio in one system. (opens in a new window)According to a recent Wharton study(opens in a new window), 75% of enterprises report a positive ROI, and fewer than 5% report a negative return. While there are many studies on this topic, this one reflects what we see on the ground today with our customers: when AI is deployed with the right use case and infrastructure, teams see real results.
- Indeed is using OpenAI APIs in its Invite to Apply feature to drive a 20% increase in applications and a 13% lift in hires. - Lowe's empowers all associates in 1,700+ stores with expert project guidance through Mylow Companion, an in-store app built with OpenAI models. - With OpenAI as the backbone of Fin, their customer service agent, Intercom has accelerated development cycles from quarters to days.
- And starting today, Databricks(opens in a new window) is bringing OpenAI frontier intelligence to where enterprises' data already lives--making it easier to build and run high-quality agents. Beyond internal adoption, we're seeing a second trend: businesses increasingly want to build with OpenAI too. Companies are creating new applications and agentic workflows directly on our platform.
AI agent development just got a serious speed boost. AgentKit's platform is turning heads by helping 1 million businesses rapidly build intelligent systems in days, not months.
The early results are promising. Carlyle's experience highlights the potential, with their multi-agent due diligence framework seeing dramatic improvements: 50% faster development and 30% higher accuracy.
Enterprise teams have long struggled with complex AI deployment. AgentKit appears to be solving this by simplifying the agent creation process, making advanced technology more accessible.
Multimodal capabilities are expanding the platform's potential. By integrating visual and video creation tools, AgentKit is pushing beyond traditional text-based agent limitations.
Speed matters in technology. The ability to go from concept to production in days could be a game-changer for companies looking to integrate AI quickly and efficiently.
Still, questions remain about long-term performance and scalability. But for now, AgentKit seems to be delivering a practical solution for businesses eager to harness AI's potential.
Further Reading
- Best No-Code AI Agent Platforms in 2026 - Lazarus - Lazarus
- Top 9 AI Agent Frameworks as of January 2026 - Shakudo
- 2026 Predictions for Agentic AI - SoftClouds
- 2026 AI Roadmap: From Strong Prompts to Smart Agents - Python Plain English
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Common Questions Answered
How quickly can businesses build AI agents using AgentKit?
AgentKit enables companies to build sophisticated AI agents in just days, dramatically reducing the traditional development timeline. The platform has already helped over 1 million businesses accelerate their AI agent development process from months to mere days.
What specific improvements did Carlyle experience with AgentKit's multi-agent framework?
Carlyle's multi-agent due diligence framework saw significant performance enhancements using AgentKit, including a 50% reduction in development time and a 30% improvement in agent accuracy. These results demonstrate the platform's ability to streamline enterprise AI agent creation and performance.
What makes AgentKit different from traditional AI agent development platforms?
AgentKit simplifies the complex AI development process by offering a user-friendly platform that allows enterprise teams to rapidly transform ideas into production-ready AI agents. The platform's advanced multimodal models and streamlined workflow enable businesses to build sophisticated AI systems with unprecedented speed and efficiency.