aiXplain, a San Jose, CA-based first no-code/low-code integrated AI development platform for quick development and delivery of AI projects, announced that it raised $8 million in seed funding.
The round was led by Transform VC and Calibrate Ventures, to accelerate AI solutions development.
The company’s no-code/low-code integrated development environment (IDE) enables users to develop, manage, benchmark, experiment, and one-click deploy AI assets.
"Today, the hardest part of delivering business-altering AI is bringing everything together: data preparation, model training, benchmarking, and deployment all involve different skill sets, diverse tools, and multiple groups," said Hassan Sawaf, CEO and founder of aiXplain. "This complexity creates a tremendous barrier to success. In short, AI projects are difficult and costly to set up and deliver. We have built aiXplain to address this huge problem."
Through the aiXplain marketplace, users can access aiXplain's own as well as third-party assets from OpenAI, Google, AWS, Azure, and dozens of other AI technology providers.
Company: aiXplain, Inc.
Round: Seed Round
Funding Month: April 2023
Lead Investors: Transform VC and Calibrate Ventures
Company Website: https://aixplain.com/
Software Category: Low-code/No-code AI Integrated Development Platform
About the Company: aiXplain is an end-to-end integrated platform for the quick development and delivery of AI projects and solutions. aiXplain specializes in cutting-edge AI research to provide a development and hosting environment for effortlessly creating complex, explainable AI solutions. aiXplain's no-code/low-code integrated development environment (IDE) enables users to develop, manage, benchmark, experiment, and deploy AI assets quickly and efficiently. aiXplain users come for productivity and stay to benefit from an ever-growing network of AI assets, including data, models, pipelines, and benchmarks. Customers can design their own AI pipeline, benchmark their model against other models, use their own datasets, or benefit from available datasets—all to easily create and maintain AI systems.