Private GPT: Stop Sharing Company Data
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In this episode of Smarter Strategic Thinking, Ray Quattromini is joined by Nipa Soni, AI and HPC Enablement Lead at FSAS Technologies, to explore their fully on-premises private GPT solution designed from the ground up for organisations that cannot afford to compromise on data sovereignty, security, or regulatory compliance.
FSAS Technologies is a Fujitsu spinoff operating across the UK and European market, aligned with the EU AI Regulatory Act and its emphasis on data control, governance, and privacy. Their private GPT runs entirely on-premises your data never leaves your environment, there's no internet exposure, and there are no per-query token costs. Licensing is user-based: unlimited usage for a fixed cost.
What you'll hear in this episode:
Nipa explains why public cloud AI models however capable introduce data sovereignty risk that regulated organisations and IP-sensitive businesses simply can't accept. They walks through the architecture that prevents data leakage, the department-level segregation model that keeps finance, HR, sales, and R&D siloed from one another, and how the system integrates with existing platforms including IBM Maximo via API and MCP.
The conversation covers the end-to-end customer journey: from an initial enquiry through to the £2,500 discovery workshop which includes AI consultants, data scientists, and mathematicians working alongside the customer's own stakeholders to identify one or two specific, high-impact use cases. The workshop takes roughly half a day to a day; a detailed findings report follows within a week and a half to two weeks. From there, POC development proceeds at no additional cost until the customer is satisfied before any further commercial commitment is required.
A UK manufacturer use case is discussed in detail: they deployed private GPT to address high error rates in part dispatch, training the model on their own proprietary data and seeing a significant reduction in errors and therefore returns within approximately three months.
The episode also addresses AI ethics and governance, including FSAS's programme delivered to first-year college students exploring the societal implications of AI decision-making, and how those same ethics principles are embedded at the platform level making it well-suited to education environments and regulated industries.
This episode is relevant to: CIOs and Heads of Infrastructure evaluating on-premises AI, MSPs and resellers considering private GPT for clients, organisations in regulated sectors (legal, public sector, manufacturing, education), and any business concerned about what happens to their data when staff use public AI tools.
Smarter Strategic Thinking is produced by Fortuna Data a UK-based IT storage reseller and consultancy specialising in data sovereignty, LTO tape archiving, ransomware resilience, cloud strategy, and AI-ready infrastructure.
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