TUBR Secures £154K from Angel Investors to Expand Real-Time Predictive Analytics Platform
TUBR, the Sheffield‑based predictive analytics and machine learning technology company, has secured a fresh injection of capital from angel investors to accelerate development of its TUBR Pulse platform and expand its market impact in sectors such as food retail where real-time predictive insights can drive operational decisions. Founded in 2020 by CEO Dash Tabor, the company has built a physics‑based machine learning‑as‑a‑service (MLaaS) solution that can generate accurate predictions even when data is incomplete or sparse, addressing a longstanding challenge for businesses that depend on inconsistent datasets.
In its most recent funding activity, TUBR announced it has raised £154,000 from a group of angel investors since the summer of 2025, a round that continues to attract support from external backers. Leading the investment in this phase is Lifted Ventures, a UK‑based angel investment network known for championing female founders and regional startups outside London. The backing from Lifted Ventures amplifies confidence in TUBR’s approach to helping businesses harness real-time predictive analytics and supports the company’s next stage of growth.
TUBR Pulse, the company’s flagship solution, is engineered to help cafés, restaurants and grocery retailers optimise staffing levels, reduce waste, streamline supply chain decisions and understand customer behaviour through accurate, real-time demand and operations forecasting. TUBR’s technology uses physics‑based modelling rather than traditional statistical methods, enabling it to produce reliable insights regardless of the quality or completeness of underlying input data—a key differentiator in markets where robust datasets are often unavailable.
CEO Dash Tabor has emphasised that the new funding will be channelled into further product development, expansion of the technical team and support for pilot programmes with food retail partners exploring how predictive intelligence can transform everyday decision-making. Tabor noted that many operational teams have historically been forced to make choices based on partial or unreliable information, and that TUBR’s platform is designed to remove that barrier by offering actionable insights even in data-challenged environments.
Investors backing TUBR in this round include members of the Lifted Ventures angel community, whose co‑founders Jordan Dargue and Helen Oldham highlighted the company’s clear value proposition and scalability in bringing predictive technology to industries beyond traditional large‑enterprise users. They underscored TUBR’s potential to democratise access to advanced analytics for smaller businesses and to help organisations make smarter operational decisions with limited data available.
This latest funding round builds on previous investment support that has helped TUBR strengthen its technology and operational base. In earlier rounds, the company attracted backing from Finance Yorkshire’s Seedcorn Fund as part of a broader pool of capital that helped grow its development capabilities and begin scaling its solutions. That funding, which formed part of a total raise of £768,000 including contributions from other investors, played a crucial role in establishing TUBR’s presence within the Sheffield Technology Parks ecosystem and enabling the company to expand beyond its origins in London.
Other investors historically associated with TUBR’s growth include BlueWing Ventures and AG Elevate, both listed among the company’s backers in data sources tracking private startup funding. These earlier rounds helped TUBR build a foundation in machine learning research and deployment, broadening the company’s reach into different sectors and use cases for its technology.
Across its funding history, TUBR has consistently focused on addressing a market need for predictive modeling tools capable of working with fragmented datasets, a challenge that affects sectors ranging from retail to mobility and environmental forecasting. Through a combination of angel investment and regional seed funding, the company has developed a solution that delivers reliable forecasts with less data than traditional machine learning models typically require.
As TUBR continues to leverage its latest funding to drive product enhancements and explore commercial opportunities, the company’s leadership is positioning its technology as a competitive alternative to legacy predictive analytics tools that depend on comprehensive datasets. With a growing base of pilot partners and expanding investor interest, TUBR aims to deepen its market footprint and bring real-time predictive intelligence to a wider array of businesses seeking to make faster, better-informed decisions in an increasingly data-driven world.
