Simplismart has developed an AI inference engine that improves AI performance.
Recent tests have shown that the platform achieves a median throughput of approximately 350 tokens per second under sustained load, outperforming its competitors.
Simplismart distinguishes itself through its end-to-end MLOps platform, which addresses critical orchestration gaps in AI adoption.
The company recently raised $7 million in funding for research and development to further enhance AI inference speed and efficiency.
Simplismart targets enterprise customers and aims to scale its revenue from $1 million to $10 million within the next 15 months.
The company's platform has been successfully deployed in the pharmaceutical sector, resulting in increased image processing capabilities and reduced operational costs.
Simplismart's end-to-end orchestration platform simplifies the deployment of AI models, allowing users to fine-tune, deploy, and monitor optimized models tailored to their needs.
The platform's personalized, software-optimized inference engine maximizes performance through custom serving layers and optimized model-GPU interaction.
With its innovative solutions, Simplismart helps organizations overcome the challenges of AI deployment and performance optimization, enabling a higher return on investment in AI initiatives.