Twin

Twin
GRANTPROCESS

Simpler.Faster.More successful.

Twin is one workspace for the whole grant process: from the first project opportunity, through the grant application, to the final settlement. Less stress, more control, better results.

The whole grant process

From project idea to final settlement.

Twin builds the whole process on one specialism: grants. What we do today is shown in purple; the rest we build out step by step.

01 · Spot
02 · Qualify
03 · Match
04 · Draft
05 · Submit
06 · Award decision*
07 · Delivery & monitoring*
08 · Reporting*
09 · Final settlement*
In TwinIn development*
Knowledge layer
The knowledge that feeds every step
What goes wrong today

You already use AI.
But it was not built for you, and the process around it is still manual work.

At every step between the first project idea and the final settlement, something gets stuck.

  1. SpotOpportunities spotted too late
  2. DraftDeadline peaks
  3. KnowledgeKnowledge in heads
  4. ReviewNo audit trail
  5. Award decisionDossier drops out of view
  6. SettlementReconstruction afterwards
  7. PositioningBasic work becomes a commodity
  8. Every stepClient data in chatbots
  9. Every stepHallucinations

Opportunities come into view too late

Projects start without a funding check, at your firm or at your client. By the time the scheme comes into view, the call has closed or the project is already under way.

A development project at a metalworking company.

3 Febteam starts on the new coating line
21 Febtest rig ordered
6 Marquote for measuring equipment signed
18 Marthe call for the matching scheme closes
14 Aprcan we still get funding for this?

Four weeks after closing the question comes up for the first time. By then the project has been running for ten weeks.

Deadline peaks squeeze quality and margin

Everything lands at once: the same deadlines, the same few people. In the peak, evenings and margin are lost, and quality hangs on the last review.

One week from the schedule of a twelve-person consultancy.

Monday
plastics processor, MIT R&Dmachine builder, MIT R&Drobotics, MIT R&D
Tuesday
packaging company, WBSO
Wednesday
food tech, SLIMinstallation engineering, SLIMcoating company, SLIMmachine builder, SLIM
Thursday
nothing
Friday
dairy processor, EIAinterior builder, SLIMagritech, WBSO

Eleven submissions in five days. At this consultancy the final content check runs through two people, and that last round slides into the evening.

The final settlement becomes a reconstruction

Hours, invoices and proof of payment are scattered across the accounts, inboxes and project folders. What was not recorded during delivery, you piece together years later.

A project from three years ago, to be settled this month.

  • Purchase quotes, complete, in the project folder
  • Timesheets for the first project year, half in the time system, half in a spreadsheet
  • Supplier invoices, 3 of 11 recovered
  • Proof of payment, with the controller, who left in May
  • De minimis declaration, nobody knows whether it was submitted

Three years after the application you are hunting for what nobody had to keep track of back then.

Sound familiar too?

The grant memory lives in people's heads

Successful applications, scheme knowledge and client context are scattered across people and folders, and when a senior leaves, part of that memory leaves with them.

No overview, no audit trail

When a spot check or client review comes, nobody can trace who wrote which version and which sources sat underneath it.

The dossier drops out of view after the award decision

The obligations in the award decision land in a mailbox, and nobody explicitly owns the evidence.

Basic work has become less distinctive

Clients draft the first version themselves with an AI tool, so your value lies in strategy, interpretation and reporting.

Client data in a public chatbot

Project descriptions, financial data and strategic plans disappear into a tool, and nobody quite knows what happens to them there.

Hallucinations that slip through

An invented deadline, a wrong budget, a scheme that does not exist: generic AI does not know what it does not know.

Welcome to Twin

Why Twin and not that chatbot.

Knows the scheme, not just the language

Every scheme has its own structure, terminology and assessment criteria. That is where Twin starts. A generic chatbot writes tidy sentences, but does not know what the assessor scores on.

Control up front, not afterwards

Twin first checks whether the information supplied is complete and asks follow-up questions where it falls short. So you never get fluent prose resting on evidence you never supplied.

Opportunities spotted earlier

You check a project against matching schemes as soon as it starts, while the call is still open and the set-up can still be steered. A chatbot waits until you ask.

One dossier instead of loose chats

Sources, decisions and versions stay together, from the first project idea to the final settlement. Several people work in the same application, and every change is in the audit trail.

Client data stays in the EU

Hetzner cluster in Helsinki, ISO 27001 certified. No US cloud, no transfer outside the EU.

Curious how Twin delivers on this?

In practice

Where Twin already runs.

Consultancies, in-house teams and research institutions rely on Twin for their applications, from WBSO, the Dutch R&D tax credit, to Horizon Europe.

Writing is faster, but the real gain comes before that: Twin forces the evidence to be complete before we submit. For every question from the assessor, we have the answer right there.
Martijn Boerman · Grant consultant - Cata Subsidieadvies
Tour

Twin in action.

In just four minutes, from uploading sources to a validated submission. Watch the video! The video is in Dutch.

The promise

One dossier, from project idea to final settlement.

Today Twin supports the process from spotting to submitting. We are building out the phase after the award decision step by step, on the same dossier. So that reporting is not a reconstruction, but the final piece of your application.

Get in touch with us.

Call us for more information, advice or a trial account. We are happy to help.

Wout Eggink
Wout Eggink
Science Park 400, Amsterdam

For me, Twin is not an AI that takes over grant consulting. Twin is the workspace that helps me do my job better, more calmly and with more control. I remain responsible for judgement, strategy and the client relationship. Twin supports me with structure, sources, file context and quality control. I use Twin not because I want to be less of a consultant, but because I want to be an even better one.

Erwin Seinen

Founder, Nederlands Subsidie Instituut

AIC4NL AllianceISO 27001 certification

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