Onshore Secures $31 Million to Modernise Tax Systems with AI
The fintech platform formerly known as SPRX has closed a Series B round led by FPV Ventures, betting that artificial intelligence can untangle the complexities of global tax compliance.
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A fintech company with ambitions to reshape how businesses handle tax compliance has secured $31 million in Series B funding, a vote of confidence in the potential for artificial intelligence to modernise one of commerce's most persistent pain points.
Onshore, which rebranded from SPRX, announced the funding round led by FPV Ventures with participation from existing investors. The capital injection positions the company to expand its AI-powered platform across markets where tax systems remain fragmented, manual, and prone to costly errors.
The timing reflects a broader shift in enterprise software. As governments worldwide digitise their tax infrastructure and compliance requirements grow more complex, companies face mounting pressure to automate processes that have long relied on spreadsheets and human judgement. Onshore's platform attempts to bridge that gap, using machine learning to interpret tax codes, calculate obligations, and file returns across multiple jurisdictions.
The Case for Intelligent Tax Infrastructure
Tax compliance occupies an awkward position in corporate finance departments—essential yet tedious, requiring precision but often treated as an afterthought until penalties arrive. According to Ventureburn, Onshore's approach centres on building AI systems capable of navigating the nuances that make tax administration particularly resistant to automation: changing regulations, jurisdictional variations, and the interpretive grey areas that distinguish competent compliance from mere box-ticking.
The rebrand from SPRX to Onshore signals strategic intent. The new name evokes domestic stability and regulatory alignment, qualities that matter when selling into finance departments wary of cloud-based tax solutions. It also distances the company from its earlier iteration, suggesting evolution in both product and market positioning.
FPV Ventures' decision to lead the round indicates conviction that tax technology represents an underserved vertical within fintech. While payments, lending, and wealth management have attracted waves of venture capital, tax infrastructure has remained comparatively overlooked—a gap that creates opportunity for platforms that can demonstrate genuine efficiency gains.
Scaling Beyond Initial Markets
The $31 million will fund expansion into new geographies and deeper integration with existing enterprise resource planning systems. For Onshore, growth depends on proving that its AI models can adapt to different tax regimes without requiring extensive manual configuration—a technical challenge that has stymied previous attempts to build universal tax platforms.
The company faces competition from established players like Avalara and Vertex, which have spent years building relationships with tax authorities and accumulating the regulatory knowledge that underpins accurate compliance software. Onshore's advantage, if it materialises, lies in its AI-first architecture: systems designed from inception to learn and update themselves as tax codes change, rather than relying on armies of analysts to manually encode new rules.
As reported by Ventureburn, the funding round included participation from existing investors, suggesting that early backers remain confident in the company's trajectory despite the competitive landscape. That continuity matters in enterprise software, where customer acquisition cycles are long and product-market fit often takes years to achieve.
The Automation Imperative
Tax departments operate under constraints that make them natural candidates for AI intervention. Regulations change constantly, staff turnover creates knowledge gaps, and the cost of errors—both financial penalties and reputational damage—can be severe. Yet adoption of new technology in this domain tends to be conservative, driven by chief financial officers who prioritise reliability over innovation.
Onshore must navigate this tension, demonstrating that its platform reduces risk rather than introducing new vulnerabilities. That requires not just technical sophistication but also the patient work of building trust with auditors, tax authorities, and the finance professionals who will ultimately decide whether to replace legacy systems.
The Series B funding provides runway to make that case across multiple markets. Whether Onshore can execute on its vision depends on factors beyond capital: the quality of its AI models, the depth of its regulatory expertise, and its ability to integrate seamlessly into the workflows of businesses that view tax compliance as a necessary burden rather than an opportunity for transformation.
For now, the company has secured the resources to test whether artificial intelligence can bring efficiency to a domain that has long resisted it. The answer will determine not just Onshore's future, but whether tax technology emerges as fintech's next major category.