ADI

First production test: Oct 9

From
Jira issue
to
GitLab MR

Autonomous AI agent that codes, tests, and ships features.

Now
2 companies testing production backlogs
Vision (2026)
7,000 teams · $750K ARR
Jira Issues
TASK-101
TASK-102
TASK-103
TASK-104
TASK-105
AI Agent
MR Created3 issues
Profit!

Market Opportunity

TAM
Total Addressable Market
$47.3B
by 2034
Global AI coding tools market
82% of 28M+ developers worldwide already using AI tools
SAM
Serviceable Addressable Market
$15B
by 2030
EU + US enterprise dev teams
Target: SMBs & Enterprises with 10-500 developers
SOM
Serviceable Obtainable Market
$150M
1% market share
Year 1-3 realistic capture
Open-source-first GTM, 2,000 teams initial target

Geographic Focus

European Union
Primary Target
3.5M ICT specialists
Nearshoring hub, strong developer ecosystem
United States
Secondary Target
High-value market
Premium pricing, GitHub ecosystem leverage

60% of your backlog is AI-solvable today

Issues Resolved (Cumulative)

Over 18 months

12× more issues resolved with AI
IEEE DataPort Study, 2024

Analysis of 22 software projects with 1,680 backlog items shows consistent patterns

Backlog Composition
60%
Trivial fixes
Small bugs, typos, minor refactors, config updates
25%
Medium complexity
Feature enhancements, multi-file changes
15%
Complex/architectural
Requires design decisions, major refactoring
Industry Time Metrics
6-8
stories per sprint
10-15m
avg trivial fix time
50-150
optimal backlog size
200+
typical backlog size
Sources: IEEE DataPort (Gaona-Cuevas et al.), State of Agile Report, Mike Cohn velocity benchmarks

How does it work?

1
Issue Detection
Monitors GitHub/Jira/GitLab for new issues. Real-time connection to your backlog.
2
Safety Classification
AI classifier scores complexity and risk. Only safe tasks proceed autonomously.
3
Model Selection
Provider-agnostic: Automatically picks optimal LLM (GPT-4, Claude, Gemini) per task type.
4
Auto-Test & Validate
Runs Jest, Vitest, Pytest test suites. Validates code quality. 95% pass rate.
5
PR Creation & Review
Creates pull request with full context. Escalates complex cases to human review.

Who We're Building For

Indie Devs & Small Teams

1-10 developers
Pain Point
"Backlog grows faster than we can ship"
How ADI Helps
ADI handles low-priority bugs & tech debt
Open Source (BYOK)

Startups

10-50 developers
Pain Point
"Need 2x velocity without hiring"
How ADI Helps
ADI ships features autonomously 24/7
Managed Cloud (Starter)

Enterprise

50+ developers
Pain Point
"Thousands of legacy issues piling up"
How ADI Helps
ADI tackles entire backlogs systematically
Managed Cloud (Scale)

Built to expand

Q3 2025
MARKETING
Problem Discovery
✓ Complete
20+ dev teams interviewed
PRODUCT
MVP
✓ Complete
GitLab sync, single issue
Oct 2025
MARKETING
Private Beta
← We are here
Target: 5 companies, 100+ issues automated
PRODUCT
Bidirectional MR
← We are here
Auto PR, code review, merge
Q4 2025
MARKETING
GitHub Launch
Target: 10K stars, 100 beta teams
PRODUCT
Batch Processing
10+ issues parallel
Q1 2026
MARKETING
Paid Launch
Target: 500 teams, $3K MRR
PRODUCT
Team Mode
Agent per dev, coordination
Q2 2026
MARKETING
Enterprise
Target: 2,100 teams, $130K MRR
PRODUCT
Enterprise
SSO, audit logs, private deploy
Continuous Growth
MARKETING
Growth
Integrations marketplace
PRODUCT
Platform
GitHub, Jira, Linear support

Growth Loop

Usage
Teams adopt
PRs
More merges
Visibility
Word spreads
Teams
More join
Features
Ship faster
Repeat

Competitive Landscape

← Single Task to Full Platform →
Autonomous • Single Task
Sweep
Automated PR creation from issues
Dependabot
Automated dependency updates
GitHub Actions
CI/CD automation workflows
Autonomous • Full Platform
ADI
End-to-end development agent
Devin
AI software engineer, limited to sandbox environments
Assisted • Single Task
ESLint
Code linting with auto-fix
Prettier
Code formatting on save
IDE Quick Fixes
Suggested refactorings
Assisted • Full Platform
GitHub Copilot
AI code completion, requires constant input
Cursor
AI-enhanced editor, manual task management
Cody
AI assistant with codebase context
↑ Autonomous to Assisted ↓

Launch Strategy

Launch Phases

← Now
Now (Oct 2025)
Private Beta
2 companies testing production backlogs. Proving autonomous workflow.
Q4 2025
Public Beta + Open Source Launch
GitHub public release. Community building. Beta waitlist opens.
Q1 2026
Managed Cloud GA
Usage-based pricing live. Integration marketplace listings.
Q2 2026
Enterprise Ready
SSO, audit logs, SLAs. Dedicated support.

Distribution Channels

Open Source First
GitHub → Stars → Contributors → Cloud conversions
Developer Communities
HackerNews, Reddit, Dev.to. Conference talks & demos.
Integration Marketplaces
Jira Marketplace. GitLab/GitHub Apps.
Content & Evangelism
Blog posts, YouTube demos. Case studies & testimonials.

Pricing Model

Open Source
MIT

License • Bring Your Own Key

  • Full ADI source code
  • Self-hosted on your infrastructure
  • Use your own LLM API key
  • Support for multiple LLM providers
  • Community support
Managed Cloud
Pay-as-you-go
$0.025/1K tokens

We handle infrastructure & API

  • Premium models & optimized agents
  • Early access to new features
  • Managed runners & infrastructure
  • No API key management
  • Priority execution queue
  • Email support
  • Usage analytics & cost tracking

Business Model

Open Source Strategy
Revenue model$0
User acquisition cost~$0
Value driverCommunity
adoption

Builds brand, gathers feedback, creates conversion funnel to managed cloud

Managed Cloud Revenue
Avg tokens/user/month1-5M tokens
Revenue @ 2.5M tokens~$62.50/mo
COGS @ 2.5M tokens~$30/mo
Gross margin~52%

Unit Economics (Managed Cloud)

~$32
Net margin/user/mo
<$100
CAC target
(OSS → Cloud funnel)
$375-1.5K
LTV (6-24mo)

2026 Revenue Forecast

Q1 2026
$3K
50 teams × $62.50
Q2 2026
$12.5K
200 teams × $62.50
Q3 2026
$37K
600 teams × $62.50
Q4 2026
$130K
2,100 teams × $62.50
End 2026 ARR Target
$500K-750K
2,100 paying teams at $62.50 ARPU

Growth Trajectory

Q4 2025
Beta
Total Teams
100
Paid Teams
0
MRR
$0
Q1 2026
Launch
Total Teams
500
Paid Teams
50
MRR
$3K
Q2 2026
Growth
Total Teams
1,500
Paid Teams
200
MRR
$12.5K
Q3 2026
Scale
Total Teams
3,500
Paid Teams
600
MRR
$37K
Q4 2026
Scale
Total Teams
7,000
Paid Teams
2,100
MRR
$130K
2026
$500K-750K
2,100 paying
Product-market fit validation
2027
$2.5M
~4,000 paying
Breakthrough to $1M ARR mid-year
2028
$8M
~10,000 paying
Enterprise expansion phase

Key Assumptions

30%
Free to paid conversion
$62.50
ARPU (2.5M tokens/mo)
25-30%
Annual growth rate

The Ask

Raising Now
$1-2M
Pre-Seed Round
12-18 month runway to PMF validation, $100K MRR, and profitability path

Use of Funds

Product Development
50%
$500K-1M
  • Hire 2-3 senior engineers
  • GitHub, Jira, Linear integrations
  • Batch processing & team mode
  • Enterprise features (SSO, audit logs, private deploy)
Go-to-Market
30%
$300K-600K
  • Hire marketing/growth lead
  • Major open-source launch campaign
  • Developer relations & community
  • Conference presence & content
Operations
20%
$200K-400K
  • 12-18 month runway
  • Premium infrastructure & hosting
  • Legal, compliance & SOC2
  • Tools, services & hiring costs

Next Raise: Seed

$15-25M
Target valuation
$100K MRR
At milestone
12-18 mo
Timeline

Why Me

Proven Track Record
Built production systems used by millions
AI-Native
Built autonomous agents in production
Product-Minded
Technical depth meets business impact
Fast Execution
0→1 velocity with production quality
Full-Stack
ML infrastructure to React components
Quality-Obsessed
Tests, types, clean code from day one
Profile

Ready to build this together?

TelegramWhatsAppLinkedIn