Engine developer
Writes the core product logic.
The Software Factory
Runs at AI speed, guided by a senior team.
A structured, AI-enabled delivery system we build and run for you. A fleet of AI agents writes, reviews, tests, and ships software, directed by a senior engineer and a product owner who stand behind every call.
What It Is
The Software Factory is a delivery system we build and run for you. It takes a written specification and produces working, production-ready software: new products, features on an existing codebase, prototypes hardened for production, platform migrations, and integrations between systems.
It is more than a reference setup. It is designed to overcome the weaknesses of unsupervised AI development, such as blind spots, hallucinated architecture, and shaky foundational decisions, by keeping experienced people in control of what gets built and how. Every engagement is led by a senior engineer and a product owner, so the speed of AI never runs ahead of the judgment that keeps the work sound.
How It Works
The Factory coordinates a fleet of AI agents in two layers. An orchestrator reads each task, decides which specialist should handle it, and assembles the results. Each specialist does one kind of work, with access only to the tools that work requires.
Frontend developer
Builds the client-facing interface.
Test author
Writes automated tests alongside the code.
Reviewer
Checks code for bugs and standards.
Architect
Approves or blocks structural decisions.
Coordinator
Handles work that spans several areas.
- Reviewers and architects cannot change code, so no agent approves its own work.
- Only the orchestrator assigns work, which keeps the fleet from looping.
- Specialists run in parallel, so multiple workstreams move at once.
Council Mode
For significant decisions, such as architecture, security-sensitive choices, and major structural calls, the Factory does not let one agent decide alone. A proposal is checked by an independent reviewer built on a different AI model family, and a person confirms the result before the work goes ahead. No single agent locks in a load-bearing decision.
What You Get
Every engagement produces working software committed to your repositories, along with the evidence that it meets what was agreed.
Application code
Full-stack software built in numbered, testable iterations, with every contract item mapped to the iteration that delivered it.
Infrastructure
Build, test, and deploy pipelines, hosting and environment configuration, database provisioning, and monitoring, all documented in a runbook.
Security
Dependency scanning and code-level review on every iteration, with security-sensitive code checked by a reviewer from a different model family than the one that wrote it.
Automated testing
Unit, integration, and end-to-end tests written alongside the code and run on every commit. Nothing is marked delivered until they pass.
Verification packet
A structured archive that documents what was built and proves it meets the agreed scope: technical deliverables, quality evidence, a decision log, and the runbook.
Trust and Data
Your code and your data stay under controls set before any work begins.
- Each engagement runs in its own isolated environment on Ballast Lane infrastructure, never a shared public cloud, with client credentials kept separate.
- AI workers get only short-lived, task-scoped access. There are no standing connections into your systems.
- Model usage runs under terms that do not train on your data, and every model call is logged so it can be audited.
- For sensitive engagements, key data handling can run on self-hosted models on Ballast Lane hardware, so your code and data never leave.
- The full data posture is set per engagement and governed by contract before work starts.
How to Engage
Where you start depends on what you have today. You can pick one entry point or move from one to the next.
Prove it on a real project
For any team that wants to see the capability before committing to it.
One delivery cycle, led by us, on a real product of yours, taken to a real, evidenced outcome. The lowest-risk way to watch the Factory work: you finish with working software and a verification packet in hand, not a pitch.
We become your engineering team
For a founder or company that needs to ship but has no engineering organization.
We run as your delivery engine. You set direction and priorities; the Factory plans, builds, tests, secures, and ships against your roadmap, with senior judgment on every architectural call and a verification packet behind every release.
Level up your own team
For an engineering organization that needs to catch up on AI without betting the company on it.
We embed AI-enabled product owners, designers, and engineers directly into your teams, where they ship real work and transfer the practice by example. Your people learn by building alongside someone who already does it well, and the capability stays after we leave.
Own your factory
For a capable engineering organization that wants to run AI development in-house.
We set up a factory tuned to your stack and standards, transfer the operating model to your people, and hand you the keys. You get the blueprint and the hard-won lessons instead of paying to rediscover them.