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Pricing

Outcome-Based Pricing

Senior US engineers with AI superpowers, embedded in your codebase, at $99 per Story Point. You only pay when features ship.

$99
per Story Point

Pay for what ships. Not hours logged.

Senior US engineers with AI superpowers, embedded in your codebase. You only pay when features ship.

How it works

$99 per Story Point: Our AI-powered system behind predictable pricing

Story points replace hours as the basis for pricing. Each task is evaluated for complexity and effort using a standardized, AI-powered approach, so estimates are consistent and your costs remain predictable and tied to completed deliverables.

1 Point
Simple + minimal effort
Real examples
  • Update error message text in a user authentication flow
  • Add a new field to an existing API response that's already available in the database
  • Update environment variables in a staging deploy config
  • Add a new option to a static or config-based dropdown menu
3 Points
Straightforward, but real work
Real examples
  • Implement client-side form validation, use known validation lib
  • Add CSV export functionality to an existing UI data table
  • Create a new email notification template for password resets using the existing email service
  • Add a new filter, like "Filter by Status," to a report — both the UI element and simple backend logic
5 Points
Some complexity, a few unknowns
Real examples
  • Implement a new REST API to create/update team members
  • Add real-time webhook with retry logic for status update events
  • Build a usage dashboard component showing monthly active users from a new data source
  • New settings page where users can toggle email preferences: UI + backend to fetch/save the settings
Fraction breaks down tasks 5 points or larger to expose complexity and ensure productivity tracking.
1 · Choose a role
2 · Day or off-hours
🌙 Off-Hours Daytime Hours ☀️

AI-Engineer

Quarter-Time

Off-Hours
$5.5K/mo
  • US-based AI-Engineer working quarter-time off-hours
  • AI architecture + AI driven engineering to accelerate development
  • 1 meeting/week + Slack/Teams check-ins

3/4 Time

Off-Hours
$12K/mo
  • US-based AI-Engineer working 3/4 time off-hours
  • Take on day-to-day leadership of major AI initiatives
  • 3 meetings/week + 2 hours /day real-time Slack

The honest comparison

Why founders choose Fraction
over traditional models

Frankie the Fraction bear, thumbs up
Fraction
Outcome Based Engineering
Traditional
Models
Who's building ✓Senior US engineers, AI-superpowered, embedded in your workflow ✗Offshore juniors you've never met
Speed ✓AI-superpowered — what takes a traditional team 4 weeks takes ours 4 days ✗Ramp-up, standups, timezone delays, rework — then maybe something ships
Visibility ✓Live view of what's done, what's in progress, and what's blocked — updated automatically, not when someone remembers to log it ✗You find out something's stalled when the deadline passes
Cost predictability ✓Scoped upfront, priced by story point, no surprises ✗Hourly estimates drift. Agency change orders. Offshore rework. Budgets blow.
Skin in the game ✓We ship or we don't get paid ✗They bill regardless
⚡ Scope your build now

Get an instant project plan + cost estimate

Drop in a PRD or explain what you're trying to build and get an estimated number of story points and cost.

Proof

Recent customer outcomes

SignatureFD case study
FinTech / Automation

SignatureFD: Automating What Felt Impossible

Learn how SignatureFD, a $9B RIA with no dev team, used Fraction to automate a years-long integration pain point — and why the team cheered when it shipped.

Read the case study →
Avantos case study
AI Platform / Integration

Avantos: Accelerating a Critical Integration

See how Avantos, an AI fintech startup, used Fraction to launch a critical third-party integration without pulling engineers off their core product.

Read the case study →
ZyDoc case study
HealthTech / Rebrand

ZyDoc: A Creative Director Who Was a Business Partner First

See how ZyDoc partnered with a Fraction creative director to rapidly rebrand for growth, building a Figma-first design system at startup speed.

Read the case study →

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