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JigsawStack closes US$1M pre-seed round to transform AI deployment

Yoeven D. Khemlani, founder and CEO of JigsawStack

Singapore-based AI stack development platform JigsawStack has secured US$1 million in a pre-seed funding round led by UK-based Ada Ventures.

This investment brings the startup’s total funding to US$1.5 million, following Antler’s previous US$500,000 investment.

JigsawStack is focused on providing a unified, multipurpose API suite designed to streamline the development and deployment of AI-powered products. It offers access to fine-tuned, custom AI models that automate tasks across diverse technology stacks.

According to JigsawStack, these smaller, specialised models are faster and more cost-effective, unlocking the full potential of AI by transforming it into actionable solutions.

Also Read: AI infrastructure: The unsung hero of technological innovation

Since its beta launch in June 2024, the platform claims to have processed 10 million API requests from developers, indicating strong initial traction.

The venture recently launched an open-source AI framework and is developing a multimodal embedding model for retrieval-augmented generation (RAG) applications, supporting formats such as PDF, images, CSV, and JSON. It aims to enhance processes like AI web scraping, AI vOCR, and AI translation, providing businesses with the AI infrastructure needed to build advanced solutions.

Yoeven D. Khemlani, founder and CEO of JigsawStack, has a track record of successful ventures, having previously launched a property and travel startup in Singapore that achieved US$1 million in annual recurring revenue within its first year and US$3 million in its second year before being acquired.

Michael Tefula, Principal and Head of Product at Ada Ventures, highlighted the potential of JigsawStack to simplify back-end software engineering, noting the increasing number of developers and the rise of AI-code generation.

The post JigsawStack closes US$1M pre-seed round to transform AI deployment appeared first on e27.

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