Stop choosing between reviewing every applicant and reviewing them well. Score all of them.
The AI evaluator reads every application against your program's thesis, scores it, and explains why, so your reviewers start from a ranked shortlist instead of a cold pile of hundreds. Your team still makes every decision.
See it in action
A 15 to 45 minute walkthrough of the platform, tailored to your program. See how teams like yours are running on AcceleratorApp.
- Full migration included for every new customer
- Most teams are live within one to two weeks
- You control the pace of onboarding
No commitment. No credit card. Just a walkthrough.
What the AI evaluator is
The AI evaluator is an evaluator type you assign to a round exactly like a human reviewer. It reads each application against your funnel's thesis and evaluation form, produces a score with per-question reasoning, and ranks the pool. Reviewers open a shortlist instead of hundreds of raw applications. When an applicant is not advancing, the AI can draft tailored feedback your team sends, so no one gets a generic rejection. Every AI evaluation is advisory: a human decision is always required before a round closes.
The problem
Review depth and review volume are in direct conflict.
Review depth and review volume are in direct conflict
With a few hundred applications and a small panel, you choose: review everyone shallowly, blow the deadline, or bring in ad-hoc reviewers whose calibration is inconsistent. Quality drops either way. The constraint is human hours, and you cannot add them fast enough.
The first read is the most repetitive and the least strategic
Sorting the clearly-strong from the clearly-weak is mechanical work that eats most of the review window. Your best evaluators spend their scarce time on the easy 80 percent instead of the genuinely hard calls in the middle.
Rejected founders get nothing useful
When you reject hundreds of applicants, almost none of them get real feedback. A generic form rejection is the norm, and in a small ecosystem that costs you reputation and future applicants.
The signature capability
A ranked, reasoned starting point for every reviewer
The AI evaluator gives every reviewer a ranked, reasoned starting point, so human judgment goes where it actually matters.
How it works
From thesis to shortlist in four steps
Write your thesis
Describe what a strong applicant looks like for this program. A built-in coach scores your thesis against a clear framework and suggests improvements before you assign the evaluator, so the AI has what it needs to score well.
Assign the AI evaluator
It slots into the same evaluator assignment you already use for humans, with a clear AI badge. Assign it to the whole round or to specific applications.
Applications get scored
Each application is scored against your thesis and form, with reasoning per question. You watch progress update live on the application overview.
Your reviewers decide
Reviewers work from a ranked shortlist with the AI's reasoning attached. They make every call. A human decision is always required before the round closes.
Capabilities
Built for the reality of high-volume review
Scored against your criteria, not a generic model
The evaluator scores against the thesis you write and the evaluation form you built. Your definition of fit drives every score.
Every score comes with its reasoning
The AI explains why it scored each question the way it did. Reviewers see the logic, not just a number, and can trust or challenge it.
Open a shortlist, not a pile
The pool arrives ranked. Your scarce review hours go to the hard calls in the middle, not the obvious top and bottom.
Specific feedback for every applicant
The AI drafts rejection feedback grounded in each application. Your team reviews and sends it. No more generic form rejections.
Help writing a thesis the AI can use
A built-in coach scores your thesis and evaluation instructions against a clear framework and suggests fixes, so weak inputs do not produce weak evaluations.
Your team always decides
Every AI evaluation is advisory. A human decision is required before any round closes. The AI never auto-accepts or auto-rejects.
Why AcceleratorApp
AI you can put in front of a funder
Advisory by design, enforced in the product
A round cannot be closed on AI scores alone. At least one human decision is always required. This is built into the platform, not a policy you have to remember.
Scores your thesis, not a template
The evaluator works from your specific definition of fit. The built-in coach helps you write that definition well, so the scores reflect your program's judgment.
Feedback that protects your reputation
Tailored rejection feedback, drafted for every applicant, means founders learn why. In a small ecosystem, that is the difference between a respected program and a resented one.
Private and compliant
AI evaluations are never shown to applicants. ISO 27001 certified, GDPR compliant, with data processing terms in place with the AI provider.
Predictable cost
Metered per evaluation run against a monthly quota. Failed runs do not count. No surprise bills.
See it mapped to your program
Walk through it with someone who has run a round
Plans start from $499 per month
AI evaluation is metered with a predictable monthly quota. No hidden setup fees.
The AI for Program Operations Guide
How program teams use AI to score applications, rank a shortlist, and draft feedback, without taking the decision out of human hands.
Book a demo
Pick a time that works
45-minute walkthrough, tailored to your program.
FAQ
Questions program managers actually ask
Review every applicant well. Decide every applicant yourself.
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