Research teams
Data collection tools, dashboards and research applications, with documented methods, testable code and reproducible setup.
UNIVERSITIES & RESEARCH
Turn knowledge into
something people can use.
Practical engineering for research tools, demonstrators and early commercial applications. We work with your project lead, requirements and review process.
A route for your team.
Research, commercialisation and teaching have different needs. Your brief helps us understand yours.
Enterprise & spinout teams
Technical feasibility reviews and demonstrators to support customer discovery and the next investment decision.
Teaching & student teams
Supervised workshops, code reviews and deployment guidance that support learning and acknowledged contributions.
Make the project reviewable.
A focused research pilot begins with a named lead and a defined question.
RESEARCH PROTOTYPE PILOT
A useful demonstrator.
A documented handover.
Agree one research workflow, the permitted data and the evidence the prototype needs to produce.
Explore the research package- Technical scopeResearch purpose, users, inputs, outputs and acceptance criteria.
- Responsible deliveryInstitutional review requirements, access permissions and data handling agreed before use.
- ContinuityVersioned source, setup notes, known limitations and operational ownership.
Start with the right conversation.
Share the institution, project type, deadline and funding stage. Leave confidential research and participant data out of the initial enquiry.
Working with your institution
We can scope work for a funded project or prepare a technical estimate for planning. Purchasing approval, research ethics, intellectual property and publication arrangements are agreed with the institution. Student support follows the institution’s assessment rules.
External grants and cloud benefits have their own eligibility requirements. SIT does not award funding or guarantee an application outcome.
Prepare a university project briefStart small.
Make it useful.
Tell us who the work is for, what needs to improve and the constraints that matter. We’ll agree a practical starting point.
Shape your first step