Product sheet

A virtual engineering team for real systems

Lovable is excellent when you want to create a new app quickly. Faktorial is built for a different job: helping engineering teams build, extend, modernize, and maintain real software inside the stack and workflow they already use.

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Positioning

Not an app builder. A virtual engineering team.

App builders help you create a new product quickly. Faktorial helps you deliver engineering work inside systems you already build, operate, review, deploy, and maintain.

Lovable starts with the product idea

Lovable is a powerful way to go from a prompt to a working web application. Its documentation describes a natural-language workflow for building, iterating on, syncing, deploying, and operating web apps.

Faktorial starts with the engineering system

Bring your repositories, frameworks, tools, CI/CD, deployment model, coding standards, and review process. Faktorial turns scoped engineering work into tested, reviewable pull requests.

Decision guide

Choose by the work. Not by the category.

If the problem is "build me an app", start with Lovable. If the problem is "help us ship and maintain software", bring that work to Faktorial.

Use Lovable when...

You want to create a new app from an idea.
You are validating an MVP or internal tool.
You are comfortable starting inside an AI app builder.
Speed to first working product matters most.
The problem is "build me an app."

Use Faktorial when...

You want a virtual engineering team working in your existing repos.
You need features, fixes, tests, migrations, refactors, or maintenance.
You want to keep your current stack, tools, CI/CD, and deployment model.
Safe, reviewable delivery in real systems matters most.
The problem is "help us ship and maintain software."

Product comparison

Different centers. Different gravity.

Lovable centers on creating and iterating web apps. Faktorial centers on increasing delivery capacity inside existing engineering workflows.

Category	Lovable	Faktorial
Best described as	AI app builder.	Virtual engineering team.
Primary job	Turn a product idea into a working web app.	Turn real engineering work into tested, reviewable changes.
Best starting point	An idea, prototype, MVP, or new internal tool.	Existing repos, systems, issues, bugs, migrations, features, and maintenance work.
Main input	Natural-language prompts and app-building instructions.	GitHub issues, requirements, bugs, technical goals, acceptance criteria, and engineering context.
Main output	A generated full-stack web application.	Pull requests, tests, fixes, features, refactors, migrations, and maintained systems.
Stack model	Works especially well with its supported web-app stack and integrations.	Stack-agnostic: use your languages, frameworks, tools, infrastructure, and deployment model.
Workflow model	Build inside an AI app-building experience, with GitHub sync and deployment options.	Work inside your existing issue tracker, repository, CI/CD, and review process.
Deployment model	Can publish through Lovable or sync/export code for other deployment paths.	Uses your deployment model, environments, release process, and operational constraints.
Greenfield work	Very strong.	Strong when requirements and architecture are clear, but not limited to greenfield.
Existing systems	Useful when code is synced or exported, but not its main center of gravity.	Core use case.
Maintenance	Possible after code ownership or export; app creation is the primary motion.	Core use case: fixes, upgrades, refactors, migrations, tests, and ongoing system evolution.
Governance	Workspace, GitHub sync, code ownership, security, and deployment controls.	PR-first delivery, human approval, quality gates, CI, scoped changes, and auditability.
Buyer/user	Founder, product builder, PM, designer, startup team, or non-technical builder.	CTO, engineering leader, tech lead, software team, consultancy, or platform team.
Good fit when	You need to create something usable fast.	You need more engineering capacity without changing how your team builds software.
Poor fit when	You need deep autonomous maintenance across a complex existing estate.	You do not yet know what should be built, or there is no repo, review path, or engineering owner.