COHORT 01 — APPLICATIONS OPEN — Q4 2026

THE ACCELERATOR
THAT RUNS ON
COMPUTE.

Four AI agent layers replace the partner-and-office model. Hundreds of startups. Consistent quality. 24/7. Zero headcount.

Apply to Cohort → Get the Thesis
SCOUT
ADVISOR
OPERATOR
BROKER

Traditional accelerators are stuck at artisanal scale.

Human bandwidth is finite. Each partner can mentor 8–12 companies per cohort. Decision cycles take weeks. Expertise is concentrated in three cities. Quality varies by which partner you get. The model caps at 40 startups twice per year.

Legacy Accelerators
AVM
Cohort Size
20–40
200+
Decision Time
6–8 weeks
5 days
Availability
Office hours
24/7
Cost Model
Human salaries
Inference
Geography
SF / NY / London
Global

ARCHITECTURE

Four Agent Layers.

SCOUT AGENTS

Sourcing & Deal Flow

  • Scans global startup databases, GitHub, Product Hunt, social signals 24/7
  • Qualifies applications using 200+ data points and founder interviews
  • Delivers admission decisions in 5 business days

CONTINUOUS — HOURLY

ADVISOR AGENTS

Curriculum & Mentorship

  • Personalized 12-week program adapted to startup stage and domain
  • Strategic guidance on product, market fit, fundraising, hiring
  • Always-on advisory board with full context on company history

ON-DEMAND — REAL-TIME

OPERATOR AGENTS

Tactical Execution

  • Generates legal docs, financial models, GTM plans, job descriptions
  • Code reviews, architecture recommendations, security audits
  • Works in parallel across 50+ startups simultaneously

ASYNC — TASK-BASED

BROKER AGENTS

Pitching & Demo Day

  • Optimizes pitch decks with 10,000+ successful fundraise patterns
  • Simulates investor Q&A and objection handling for 40+ scenarios
  • Matches startups to investors by thesis, check size, sector focus

WEEKS 8–12 — INTENSIVE

FOUNDER EXPERIENCE

12 weeks. Then 12 months.

W0

Application & Qualification

W1

Diagnostic & Setup

W2–7

Build & Iterate

W8–10

Fundraise Prep

W11–12

Demo Day

M4–12

Post-Program Access

Built on a compounding moat.

Every cohort generates proprietary training data. Agent performance improves with each cycle. The system learns what works across hundreds of startups in parallel.

Inference costs represent less than 25% of total spend. With costs declining 10× per 18 months, gross margins expand while we scale cohort size.

0
companies per cohort at Year 3
0
gross margin target
$0
estimated paper equity value Year 3

WHY NOW

Open Thesis Points
01

LLMs will perform 80% of cognitive accelerator work

02

Multi-agent frameworks enable parallel, coherent workflows

03

Inference costs fall 10× per 18 months — margins compound

COHORT 01 — Q4 2026

The machine is ready.

Apply as Founder Investor Inquiries

AVM — AUTONOMUS VENTRE MACHINE — v1.0 — 2026