- Basetwo raises USD 11.5 million in Series A early-stage funding round led by AVP Venture Capital.
- With the funding, they aim to accelerate the optimization of production processes for pharmaceutical and chemical manufacturers.
- Basetwo also plans to expand to the US, Japan, Europe and the Middle East.
Basetwo announces raising USD 11.5 million in Series A early-stage funding round led by AVP Venture Capital. This is with participation from Glasswing Ventures, Deloitte Ventures, Global Brain Ventures, Shimadzu Corporation and Chiyoda Corporation. In addition to angel investors from the UAE via the Qora71 platform.
Expansion
Basetwo is a Toronto-based startup that provides an AI platform designed to enhance manufacturing efficiency. Thus, with this funding they aim to accelerate their mission to enhance the production processes for pharmaceutical and chemical manufacturers.
“Our Physics AI platform enables manufacturers to optimize complex processes with powerful and explainable models.”
Thouheed Abdul Gaffoor, CEO and Co-founder of Basetwo.
They also aim to accelerate the development of their AutoPilot technology for autonomous, real-time manufacturing control. They also aim to expand their presence to the US, Japan, Europe and the Middle East. This in conjunction with aiming to sustain growth for their business development, AI and software engineering teams to support market demand.
Tackling Technological Gap
Basetwo is a Toronto-based startup that provides an AI platform designed to enhance manufacturing efficiency. Thus, they aim to tackle a technology gap between traditional machines and the chemistry and physics engineers use to troubleshoot.
In addition, the startup aims tackle the challenges manufacturers face in scaling production from lab to commercial scale. This is because traditional machine learning approaches struggle with these complex manufacturing processes. Thus, with their technology their optimize these manufacturing processes for quality and efficiency.
“Basetwo’s Physics AI platform addresses challenges critical for process efficiency and quality control, delivering measurable improvements that impact the bottom line.”
Manish Agarwal at AVP
Basetwo’s Physics AI platform combines fundamental chemical engineering principles with AI to optimize pharmaceutical and chemical manufacturing processes. In addition, their low-code platform allows engineers to leverage AI technology for critical use cases such as rapidly launching new products into the market and optimizing existing processes. Furthermore, their physics-based models aid engineers to understand and control manufacturing systems through providing interpretable insights.
“Traditional manufacturing software was built for an era before cloud computing and modern AI,” stated Thouheed Abdul Gaffoor. “
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