Use cases

Find the R&D work worth assessing.

Bring technical records, effort and project costs together so valuable R&D work doesn’t get missed. Help your team and advisers assess opportunities with a clearer evidence base.

Talk through your process

Keep the evidence with the project.

Bring relevant technical and effort records together. Give reviewers direct access to the source material behind a draft explanation.

Connect AI use to work and projects ↗
Project evidence
RecordStatus
Technical investigation Linked
Experiment results Linked
Confirmed effort Awaiting confirmation

Find gaps before adviser review.

Flag missing dates, unsupported statements and incomplete records. Give each gap an owner who can resolve it.

Explore agents, data stores and views ↗
Evidence gaps
GapOwner
Describe the technical uncertainty Technical lead
Confirm experiment dates Project lead
Approve effort records Team lead

Prepare a pack your advisers can review.

Assemble the checked records and draft explanations. Your advisers assess eligibility and prepare the claim with your team.

Build views for your team ↗
Adviser handover
SectionStatus
Project explanation Reviewed by technical lead
Supporting records Attached
Eligibility assessment With adviser
Your systems, connected

Use the tools behind this work.

We agree which records, access and controls your workflow needs, then connect the relevant systems.

Explore all integrations ↗

Measure what changes.

Track preparation time, missing evidence, review corrections and the time your advisers spend resolving gaps.

We agree the baseline with you, build around your systems and keep improving the application as your work changes.

Start with the work you want to improve.

Show us the process, the systems and where your team loses time.

Talk to Flowstate
Practical questions

What to know before you start.

Does an AI classification establish eligibility for R&D relief?

No. Classification can help organize evidence for a qualified reviewer. Eligibility depends on the work and the rules that apply, not on a generated label.

How can the application reduce evidence preparation work?

Bring relevant project and effort records together, highlight missing information and route questions to the people who did the work. Keep their corrections and supporting sources.