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Delsivo
Thesis screening

Your thesis as rules, with the reason behind every result

Publish your thesis as rules and preferences. Each deal shows met, mismatch or unknown per criterion, with the source, and unknowns become questions.

  • Rubrics, fit reports, overrides Pilot
  • Thesis sandbox Later
How a rubric is built
Kitepath · Core seed rubric, version 3Fit report
Thesis fit
2 of 3 rules met
1 unknown, 0 mismatches
Evidence quality
Mostly founder reported
Revenue not yet backed by a document
Diligence readiness
2 items missing
Round size, revenue schedule

Hard requirements

  • StageRule: Pre-seed or seedSlide 1Met

    Found: Seed

    The cover says "Seed round".

  • GeographyRule: India or United StatesSlide 9Met

    Found: Pune and Austin

    Team slide lists both offices.

  • Round sizeRule: USD 1M to 3MUnknown

    Found: Not in the deck

    No amount on the use of funds slide. Added to the interview as a question.

Your thesis as rules

Four kinds of rule, written the way your partners talk

A thesis in a memo is hard to apply the same way to every deck. As a rubric, each part becomes something Delsivo can check and explain.

The four kinds of rule in a thesis rubric, with examples
KindExampleHow it is applied
Hard requirementsStage is pre-seed or seed. Sector is B2B software. Headquarters in India or the United States. Round size USD 1M to 3M.Checked in code against extracted facts: Met, Mismatch or Unknown
Weighted preferencesEvidence of paying customers (weight 3). Founder has sold to this buyer before (weight 2). Capital-efficient growth (weight 1).Scored per criterion by the model with a rationale and citations; weights and the total are computed in code
ExceptionsPre-revenue companies are fine if the founders have built in this market before.Shown beside the rule it relaxes, so the analyst sees why a rule was not applied
QuestionsIf round size is unknown, ask it in the interview. Ask how customers are counted.Turn Unknowns into questions for the interview or a request

The examples are a made-up seed fund's rubric. You publish your rubric as a version; drafts never touch live deals.

Met, Mismatch, Unknown

Three results, and Unknown is never a fail

Each criterion shows the rule, the value found, the source and the reasoning. The result is a suggestion until an analyst accepts it.

  • Met

    The deal satisfies the rule, with the source shown.

  • Mismatch

    The deal explicitly falls outside the rule. Surfaced for an analyst to review, never an automatic rejection.

  • Unknown

    The value isn't known yet. It turns into a question for the founder, not a failure.

Unknown has a dashed border and is never red, in every screen. A missing value is a question for the founder, not evidence against them.

Three readings

Fit, evidence and readiness, never blended into one number

A single score hides the reason. Delsivo keeps the three questions a partner actually asks apart.

  • Thesis fit

    How the deal matches your published rubric: hard rules met, mismatched or unknown, plus weighted preferences.

  • Evidence quality

    How much of what matters is backed by a cited source rather than a bare statement.

  • Diligence readiness

    What is still missing before the deal can move to the next stage.

Overrides

Analysts can change any result, with a reason on record

Extraction can be wrong and exceptions are real. An override keeps the original result, the new one, who changed it and why.

Kitepath · Core seed rubric, version 3Fit report
Thesis fit
3 of 4 rules met
1 unknown, 1 override with a reason
Evidence quality
Improving
Paid contracts corroborated
Diligence readiness
1 item missing
Round size

Hard requirements

  • StageRule: Pre-seed or seedSlide 1Met

    Found: Seed

    The cover says "Seed round".

  • SectorRule: B2B softwareSlide 2Met

    Found: Freight logistics

    The problem slide describes freight brokers, read as a logistics company.

    SOSam Okafor changed Mismatch to Met: It sells software subscriptions to brokers, not freight services. See slide 6.

  • GeographyRule: India or United StatesSlide 9Met

    Found: Pune and Austin

    Team slide lists both offices.

  • Round sizeRule: USD 1M to 3MUnknown

    Found: Not in the deck

    No amount on the ask slide. Added to the interview.

Weighted preferences

  • Paying customersRule: Weight 307:42Met

    Found: 8 paid, 12 unpaid pilots

    Paid contracts confirmed in the room; pilots not yet converted.

  • Prior sales to brokersRule: Weight 2Unknown

    Found: Not stated

    Neither the deck nor the form says. Suggested question for the first meeting.

Sample data. The fund, founder, company and numbers are made up.

  • Overrides need a reason

    No silent edits. The reason is stored with the user and time, and shows on the criterion.

  • Re-runs keep the old run

    Re-screening creates a new assessment. The earlier one stays, with its rubric version and evidence snapshot.

  • Rubric versions

    Every run records which rubric version, model and prompt version produced it.

  • Totals computed in code

    Weights are applied by the product, not the model, and unscored criteria are left out of the total.

AI and people

What AI suggests, and what your team decides

Screening is where it is most tempting to let a model decide. Delsivo doesn't.

AI suggests, with a citation

  • Reads facts from the deck, each with its slide
  • Applies your hard rules and reports Met, Mismatch or Unknown
  • Scores weighted preferences with a rationale and citations
  • Suggests questions for every Unknown
  • Explains each result in a sentence an analyst can check

People decide, with a reason

  • Which rubric version is published
  • Accepting or overriding each result, with a reason
  • Every pass, always with a recorded reason
  • Every stage change and every message to a founder
  • Whether a Mismatch is a real no or an exception
Rubrics for each strategy

One fund, more than one way to invest

Different stages and programmes need different rules.

  • Pilot

    Rubrics per strategy

    Keep a pre-seed rubric and a seed rubric, or one per programme, each with its own versions and questions.

  • Pilot

    Strategic criteria

    Corporate venture teams can add strategic fit criteria beside financial ones, shown as their own group.

  • Later

    Thesis sandbox

    Try a rubric change against past deals before publishing it, and see which results would change.

FAQ

Questions about screening

All questions

It is marked Mismatch and shown to an analyst with the rule, the value found and its source. It is never rejected automatically. The analyst can pass with a reason, or override the result with a recorded reason if the extraction was wrong or an exception applies.

Because a deck that doesn't mention round size or geography hasn't failed anything: the information just isn't there yet. Delsivo keeps the criterion Unknown and turns it into a question for the interview or a follow-up request, so early founders aren't screened out for leaving a slide off.

No. Thesis fit, evidence quality and diligence readiness are shown separately, because a deal can fit well on thin evidence or have strong evidence for a poor fit. Weighted preferences have a computed total, shown with every criterion behind it.

You publish a new rubric version. New deals are screened against it, and you can re-run older deals. A re-run creates a new assessment and keeps the earlier one with its rubric version, so you can always see what a deal was judged against at the time.

Yes. A fund can keep separate rubrics, for example one for pre-seed and one for seed, or one per programme for an accelerator, each with its own versions.
Design partner pilot

Test your rubric on deals you already know

In a pilot we write your thesis as a rubric with you, run it on past deals and compare the results with your team's own calls.

Talk to us