R&D teams synthesise literature, analyse data and document at volume — strong AI territory, with scientific rigour and IP protection kept central. Here’s how UK R&D teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps R&D
- literature and prior-art synthesis;
- data analysis support;
- documentation and report drafting;
- research knowledge management; and
- answering questions from your research base.
AI accelerates the research- and documentation-heavy work so researchers focus on experiments, analysis and innovation.
Rigour and validation stay human
AI can accelerate synthesis and drafting but can be confidently wrong, so researchers verify outputs and maintain scientific rigour. Ground AI in real, cited sources and your own research base; treat AI as a research accelerant whose outputs are validated — not an authority.
R&D tax relief potential
Worth knowing: using AI doesn’t itself qualify, but genuine AI or software development that seeks a technological advance may qualify for R&D tax relief (including ERIS for R&D-intensive SMEs). The distinction is using AI vs developing novel AI/technology. Confirm with your accountant.
Protect research IP
Keep research data and IP controlled — self-hosting or local inference rather than consumer tools, and bring-your-own-key with providers that don’t train on your data. osFoundry’s self-hosting and local inference keep proprietary research in your environment.
Where osFoundry and dgm fit
dgm builds data-controlled R&D AI on osFoundry: retrieval over your research base, self-hosting and local inference to protect IP (data control via your own cloud, hardware or EU region — note no dedicated UK region), and audit. (See also our biotech guide.)
dgm is an independent integration partner with zero integrations so far — no client claims. To scope an R&D AI project, book a consultation with dgm. General information only.