FOR ACCELERATORS · VCS · UNIVERSITY PROGRAMS

Screen 500 Applications in 1 Hour.

Application Screener for accelerators, VCs, and university programs. Replace ten-minute manual reviews with eight-model AI evaluations: each applicant gets eight independent judgments (ADVANCE / REVIEW / DECLINE), dimension scores against your rubric, and a structured reviewer brief. Process 500 applications in roughly one hour. Rubric-based means consistent, auditable output — no reviewer fatigue, no unconscious-bias drift.

8 AI models evaluate each startup against your custom rubric. ADVANCE / REVIEW / DECLINE per applicant. Your reviewers focus on the top 10%.

For accelerators, VCs, and university programs screening startup applications. Solo founder? Pricing

Reviewer-time leverage. A 500-application cohort that takes a panel several days to first-pass completes here in hours — cohort-volume pricing scales with batch size. Pilot programs typically report 5–20× reviewer-hour savings; we publish a sample report so you can verify on your own pile.

Book a 20-min demo →Open Accelerators →Request sample cohort report (PDF)

How it works

How do you go from an application pile to a shortlist in four steps?

1

Define your rubric

Team 25%, Market 25%, Innovation 20%, Feasibility 15%, Thesis Fit 15%. Or configure your own weights.

2

Upload applications

Paste text, upload CSV, or integrate via API. 100+ applications at once.

3

8 models evaluate independently

Each application gets 8 expert perspectives. No groupthink. No anchoring bias.

4

Get structured verdicts

ADVANCE / REVIEW / DECLINE per applicant. Dimension scores. Red flags. Reviewer action items.

The Difference

How does manual review compare to the FounderJury Screener?

Manual ReviewFounderJury Screener
Time per application~10–15 minutes~2 minutes
Reviewer cost (500-app batch)Hundreds of reviewer hoursCohort-volume pricing — see below
Perspectives per application1–2 reviewers8 AI models
ConsistencyVaries by reviewer fatigueIdentical rubric every time
BiasUnconscious bias riskRubric-based, auditable
OutputNotes in a spreadsheetStructured brief + dimension scores

Use Cases

Which institutional deal flows does FounderJury handle?

Accelerators

Pre-screen 200+ batch applications. Your selection committee focuses on the top 20 instead of reading all 200.

200 apps screened in ~7 hours

Micro-VCs & Scout Networks

Consistent first-pass on inbound deal flow. Structured scoring across all analysts.

8 expert perspectives per deal

University Programs

Students submit startup ideas, get structured AI feedback. Professors save 80% of review time.

Custom rubrics per course

Pitch Competitions

Standardized pre-evaluation of all submissions. Judges receive ranked shortlists with evidence.

ADVANCE / REVIEW / DECLINE per entry

Corporate Innovation

Internal idea evaluation before budget allocation. More rigorous than committee gut feeling.

Dimension scores on 5 axes

Due Diligence Support

Second opinion on deals already in pipeline. 8 models stress-test what your analysts might miss.

Blind spots + red flags flagged

FounderJury.ai is a "Pre-Seed VC in a Box." It provides the kind of brutal, data-driven feedback you usually only get after a failed pitch to a top-tier venture capital firm.

Founder, AgentWitness.ai

After running 3 debates: Trend Scout (48/100) → Solopreneur (62/100) → Team Battle (5/10 TIE)

Pricing

How much does application screening at scale cost?

Starter
Free

2 screenings

All 8 AI models
Custom rubric
Structured brief
HTML report download
Try the Screener
Recommended
Growth
€499/month

100 screenings/month

Everything in Starter
Batch CSV upload
Priority queue
CSV export
Team dashboard
Start Growth
Scale
€2,499/month

Unlimited screenings

Everything in Growth
API access
Custom rubrics library
Priority support
Advanced analytics
Start Scale
Enterprise
Custom

Unlimited + White-Label

Everything in Scale
White-label reports
SSO integration
SLA guarantee
Dedicated support
Contact us

Developer API

How do you integrate FounderJury into your pipeline?

Send applications via REST API. Get structured verdicts back. Plug into your existing ATS, CRM, or deal flow system.

POST /api/v1/validate

// Request
{
  "application": {
    "name": "ClimateTech Solutions",
    "pitch": "AI-powered carbon credit verification...",
    "team_size": 3,
    "stage": "pre-seed"
  },
  "rubric": {
    "team": 0.25,
    "market": 0.25,
    "innovation": 0.20,
    "feasibility": 0.15,
    "thesis_fit": 0.15
  }
}

// Response
{
  "verdict": "ADVANCE",
  "confidence": 0.82,
  "scores": {
    "team": 7.2,
    "market": 8.1,
    "innovation": 7.8,
    "feasibility": 6.4,
    "thesis_fit": 7.0
  },
  "red_flags": ["Solo founder risk"],
  "reviewer_actions": [
    "Verify carbon credit partnerships",
    "Request technical demo"
  ],
  "models_agreed": 6,
  "models_total": 8
}
View full API documentation →

Built for compliance

What will your data, legal, and procurement teams ask?

EU data residency

Hosted on Hetzner in Germany. Application content stays in the EU; no transfers to non-adequate third countries.

DPA available

Standard data processing agreement on request before pilot kickoff. Sub-processor list provided.

No training on customer data

Submitted applications are never used to train or fine-tune any model. Inference only.

Retention controls

Default 90-day retention; configurable down to per-cohort purge on completion. Export then delete.

SSO (Q3 2026 roadmap)

SAML / OIDC for institutional SSO is planned for Q3 2026. Pre-roadmap pilots use email + 2FA.

Audit log export

Every evaluation, override, and download is logged. CSV export per cohort for internal review.

Design partner program

3 free pilot slots for accelerators and university programs

We are deliberately not displaying customer logos until we have ones we can show with permission. Instead: 3 institutions running a real cohort in 2026 can pilot the screener at no cost in exchange for structured feedback and a logo + quote we can publish.

Apply for a pilot slot →

FAQ

What do accelerator and university ops leads actually ask?

Where does our applicant data live?

Hetzner data centers in Germany. Application content does not leave the EU. Transient API calls to model providers are allowed only after configurable PII redaction; full on-EU inference for sensitive cohorts is available on the Team tier.

Do applicants need to consent?

Yes. We provide a standard consent paragraph for your application form covering AI-assisted evaluation, data residency, and retention. You can also adopt your own.

How do we audit for bias?

Each evaluation logs the rubric, the per-model verdict, and the points each model raised. We provide a dimension-level distribution per cohort so you can spot systematic skew before publishing decisions.

Can a reviewer override the AI verdict?

Always. The verdict is a recommendation; final ADVANCE / REVIEW / DECLINE is set by your reviewer. Overrides are logged with a free-text reason field for the audit trail.

What export formats do we get?

Per-applicant brief in PDF, the full cohort as CSV (verdicts, dimension scores, red flags, reviewer actions), and an audit-log CSV. JSON export over API on Team tier.

Can it integrate with our existing ATS?

Via the REST API documented above. Built-in connectors are not yet shipped; pilot partners get bespoke ingestion help during onboarding.

EU-Hosted
Hetzner, Germany
GDPR Compliant
No third-party data sharing
8 Frontier Models
Independent evaluation
Human Decision Required
AI recommends only

AI Recommendation Only — Human Decision Required

FounderJury provides structured AI evaluations to support human decision-making. All verdicts are recommendations. Final admissions, investment, and funding decisions must be made by qualified human reviewers. Every generated report includes this disclaimer.

How the 8-model debate works → methodology
What is AI startup screening for accelerators?

An automated pre-review of incoming applications that generates an ADVANCE / REVIEW / DECLINE recommendation with structured reasoning. FounderJury's Institutional plan processes 500 applications in roughly one hour, with eight AI-model evaluations per applicant against the program's custom rubric, producing a ranked shortlist instead of unranked reviewer notes.

Start screening today.

Your first 2 applications are free. No credit card required.

Open Accelerators →Request Enterprise Pricing

[email protected]

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