For accelerators

Process hundreds of applications
without losing control.

Accelerators receive thousands of applications per batch. Most use Google Forms and spreadsheets. Teams spend weeks reading, tagging, and triaging — and still miss promising founders buried in the pile.

With Parley, your AI agent handles the first pass. It reads every application, asks follow-up questions based on your criteria, and surfaces the strongest candidates — while you retain full decision-making authority at every stage.

Your criteria. Your process. Your final call.

Application pipeline — track every submission from inbox to shortlist

The problem

Applications are growing.
Your team isn't.

Every cohort brings more applications. Your team reads them one by one, asks the same questions, and tries to find signal in unstructured text.

Some applications are brilliant but poorly written. Others are polished but empty. The best ones sometimes get lost in the volume.

You need a way to go deeper on every application — without 10x-ing your team.

How it works

An AI analyst that reads every application on day one.

01 /

Founders apply

Applicants submit a short blurb about their startup — what they're building, for whom, and where they are.

02 /

Agent evaluates

Your AI agent reviews every submission against your criteria — sector, stage, team, traction, whatever matters to you.

03 /

Follow-up conversation

Instead of a static form, the agent asks clarifying questions. You see how founders think, not just what they wrote.

04 /

Shortlist surfaces

The agent ranks candidates and highlights why each one fits. Your team reviews a curated list, not a raw pile.

Full control

The agent filters.
You decide.

Parley is not an auto-accept tool. The agent never admits or rejects anyone on your behalf.

It screens, asks questions, and surfaces insights — but every admission decision stays with your team. You see every conversation the agent has. You can intervene at any point.

Think of it as a tireless first reader who works 24/7 and never skims an application — but always defers to your judgment.

AI handles the volume. Humans make the decisions.

Guide the agent mid-conversation — leave notes, intervene at any point

Your criteria, your rubric

Configure the agent to reflect your program.

Every accelerator has different priorities. Some optimize for technical depth. Others look for market timing or founder resilience.

You define the evaluation criteria — sector focus, stage preferences, team composition, traction thresholds, deal-breakers. The agent evaluates against your rubric, not a generic one.

Define custom screening criteria and priorities
Set deal-breakers that auto-flag mismatches
Adjust the agent's tone and conversation style
Update criteria between cohorts as your thesis evolves
Configure evaluation criteria — model, tone, green flags, deal breakers

What this gives you

Every application reviewed in depth. No more skimming. The agent reads and engages with every single submission.

Richer signal than a form. Follow-up conversations reveal how founders think — not just how they fill out fields.

A ranked shortlist, not a spreadsheet. The agent surfaces top candidates with reasoning for each — ready for your team to review.

Faster turnaround for applicants. Founders get a response within hours, not weeks. Better experience, better reputation for your program.

Find the best founders in every batch — no matter how many apply.

Your agent reads every application, asks the right questions, and gives you a ranked shortlist by morning — with full context on why each founder made the cut.