XDrop AI for incubators and accelerators

Not judgement. It is extraction. Before anyone can compare two companies, someone has to find the same six facts in two differently organised piles of documents. Multiply by fifty.

So the usual outcome is deciding mostly from the deck, which is the least reliable document in the set because it was written to persuade.

• Applicants share a scoped selection. You ask for specific documents and receive those, in a consistent structure, rather than a folder link.
• You can ask across what was shared. Answers cited to the source document and page, so a claim can be checked without opening five files.
• Comparison becomes possible. The same question to two applications returns answers in the same shape.
• An access record exists. Which matters when an applicant later asks who in your organisation saw their cap table.

An applicant has handed you confidential material with no agreement in place and often no relationship. Under the DPDP Act, documents containing personal data about their employees or customers make you a recipient of that data, with the obligations that follow.

The practical consequences are small and worth doing anyway: ask for the narrowest set that supports a decision, keep a record of internal access, and do not retain material from rejected applicants indefinitely. Context: DPDP and investor data rooms.

The relationship becomes a working one: a roadmap built from the company’s readiness gaps, direct messaging, milestones they are measured against, and a room that stays current as they progress, so a mid-programme review does not start with another document hunt.

What founders are told to expect, which is also the standard you will be held to: applying to a startup incubator.

It will not rank applicants for you. Nor should it. Selection is a judgement about people and timing, and a tool that produced a ranking would be offering false precision over the part that matters.

It removes the extraction so the judgement gets the time.