The AI Software Foundry for automotive and beyond

Forward deployed engineers. A farm of AI agents behind every one.

We embed with your team, our agent fleet builds, and the platforms we already run mean nothing starts from zero. Production software, not pilots.

Describe a workflow and see what the Farm would do with it.

or see the Automotive Software Factory

Enterprise Automotive Platform & FrameworkReal-Time Vehicle Inventory GraphCompetitive Specials IntelligenceAutonomous Software Engineering PipelineAI Agent Storefront for DealershipsSelling Platform for Car SalespeopleIdentity & Multi-Touch Attribution EngineAutonomous Support DeskSelf-Measuring Outbound EngineDealer Group Operations IntelligenceVision AI Inventory & Listing PlatformReal-Time Programmatic Bidding EngineDealer Analytics & AI AnalystConversational Marketing AnalystSearch, Ads & Maps IntelligenceMarketplace for Dealer-Built SoftwareOpen Protocol for Dealership AI AgentsFinancial Aid Award Letter PlatformSOC 2 Readiness & Security ProgramInfrastructure Security & Incident ResponseEnterprise Automotive Platform & FrameworkReal-Time Vehicle Inventory GraphCompetitive Specials IntelligenceAutonomous Software Engineering PipelineAI Agent Storefront for DealershipsSelling Platform for Car SalespeopleIdentity & Multi-Touch Attribution EngineAutonomous Support DeskSelf-Measuring Outbound EngineDealer Group Operations IntelligenceVision AI Inventory & Listing PlatformReal-Time Programmatic Bidding EngineDealer Analytics & AI AnalystConversational Marketing AnalystSearch, Ads & Maps IntelligenceMarketplace for Dealer-Built SoftwareOpen Protocol for Dealership AI AgentsFinancial Aid Award Letter PlatformSOC 2 Readiness & Security ProgramInfrastructure Security & Incident Response

Built and running in production

A competitor's banner, read at 7:02 AM
The service lane agent, booking a bay
The brief a dealer group GM reads first
An agent's pull request, with its evidence
ChatGPT answering from a dealer's live inventory
Marketplace listing, pulled when the car sold
Price moves from the inventory graph
Outbound that cites the prospect's own number
A window sticker rebuilt from build data

Don't apply AI.
Re-engineer the work.

Engineers find the real process and decide what ships. Agents do the volume in between, and prove every change.

Step 1

An engineer moves in

A Forward Deployed Engineer sits with the people who do the work, maps the real process, and writes down what done means before any code exists.

PROCESS MAP / WEEK 1Discover

Inbound lead handling

  • DeleteRe-keying leads into a spreadsheet
  • CodeRoute by store, make and hours
  • AgentFirst reply and qualification
  • AgentMatch to live inventory
  • HumanPrice and trade negotiation

Documented: 6 steps. Observed: 19 steps, 4 loops.

Step 2

The Farm builds

A fleet of agents takes scoped tasks from the queue, each at its own isolated station, and turns them into pull requests around the clock.

farm / run-log live
09:14:00 queue pulled task #4812 scope: inventory-sync retries
09:14:23 agent-07 sandbox ready worktree feat/4812
09:14:46 agent-07 context loaded 41 files, 3 ADRs
09:15:09 agent-07 implementing claude / planner
Step 3

Agents show proof, not promises

Every change carries its evidence: tests, evals, before-and-after numbers, and a review score from a different model. Then an engineer decides.

#4812Cache price block on vehicle pages

p95 before

812 ms

p95 after

236 ms

208 tests passed, 4 skipped✓
Evals 97.3%, bar is 97%✓
Second-model review: 2 comments resolved✓
Evidence attached · ready for reviewMerge
Step 4

We measure it in production

Baseline before we build, measured again at three and six months. The Farm keeps working the backlog after launch.

MEASURE / BASELINE VS 90 DAYSlive
Steps in the process198
Lead first-response time41 min40 s
Handled without a person0%71%

Illustrative scorecard. Real ones are signed off with the client.

Book a 30-minute scoping call
What is actually running

Big claims are cheap.
Here is the inventory.

Pulled from production systems, not rounded up for a pitch deck.

2.98M

Vehicles live in our inventory graph

6,704

Dealer websites crawled every day

59

Dealer-system integrations registered

10

Client programs running in parallel

45

Engineers, QA, designers and PMs

15+

Years shipping production software

We don't just build platforms.
We run them.

Data, connectors, agents and intelligence, live in production. Every one of them is a head start on your project.

Automotive platforms

Enterprise Automotive Platform & Framework

The shared infrastructure every automotive product runs on.

Automotive platforms

Real-Time Vehicle Inventory Graph

Every VIN, every dealer, every price change. In real time.

Intelligence

Competitive Specials Intelligence

Stop guessing what your competitors are promoting.

AI agents

Autonomous Software Engineering Pipeline

From task description to merged pull request.

AI agents

AI Agent Storefront for Dealerships

When shoppers ask ChatGPT, the dealership answers.

AI agents

Autonomous Support Desk

One intake for every product. Agents do the work, a human approves.

See all 25 projects

Don't rip out your systems. We build inside them.

Agents work inside the systems your people already use. Approvals arrive where your team already works.

CDKReynoldsTekionDealerVaultVinSolutionsDealerSocketeLeadPBSDriveCentricProMaxvAutoHomeNetGA4Google AdsMeta AdsSearch ConsoleBigQuerySalesforceHubSpotPipedrive

Security & SOC 2

Built to SOC 2 controls from the first commit. We take clients through Type I and Type II.

Scoped credentials, isolated sandboxes, scans on every change, a human merge, and a full audit trail for every agent run.

How we secure the Farm
For enterprise teams

One pod on site. A whole farm behind it.

Most AI projects die between the demo and production. Ours are built to cross that gap: an FDE who owns the outcome, an agent fleet that does the volume, and platforms that remove months of plumbing.

Discover

01

Weeks 1 to 4

Process mapped, baseline measured, proofs of concept, architecture and scope delivered.

Deploy

02

Weeks 5 to 8

The FDE pod and the Farm ship to production inside your systems of record.

Measure

03

Months 3 and 6

Results against the baseline, then the Farm keeps improving what is live.

How a Forward Deployed engagement works
Careers

Become a Forward Deployed Engineer.

Three jobs in one: understand the business, ship production code, own the AI layer. Every FDE here runs their own slice of the Farm.

See open roles
farm / run-log live
09:14:00 queue pulled task #4812 scope: inventory-sync retries
09:14:23 agent-07 sandbox ready worktree feat/4812
09:14:46 agent-07 context loaded 41 files, 3 ADRs
09:15:09 agent-07 implementing claude / planner

Frequently asked questions

What is an AI software foundry?+

A company that builds production software with a fleet of AI agents doing most of the implementation, engineers deciding what ships, and platforms already in production so no project starts from zero. Creative Code runs all three.

What is a Forward Deployed Engineer?+

An engineer who works inside your business rather than from a ticket queue. Our FDEs learn the workflow from the people who do it, define what done means, direct the Farm, and stay accountable for the result in production.

What exactly is the Farm?+

A managed fleet of agent workers. Each takes a scoped task from a queue, works in an isolated sandbox, runs tests and evals, and opens a pull request. A control plane handles credentials, budgets, retries and logs. An engineer approves every consequential change.

Who owns the code you write for us?+

You own everything we build specifically for you. Where we deploy one of our platforms underneath, you get a license to it, and we say which is which in the contract before work starts.

Do you help with SOC 2?+

Yes. We take companies through SOC 2 Type I and Type II: gap analysis, policies, controls wired into the engineering workflow, evidence collection and auditor handoff. We are running this program today for an automotive analytics SaaS, and the same controls apply to every agent run in the Farm.

Is our data used to train models?+

No. We use model providers under terms that exclude training on customer data, scope agent credentials to the task, and keep customer work in isolated sandboxes.

How do engagements start?+

With Discover: four weeks in which an FDE maps the real process, measures the baseline, proves the hard parts with prototypes, and delivers an architecture and a scope you can take to anyone, including us.

What is an automotive software factory?+

A production line for dealership and automotive software: one normalized data layer, one set of dealer-system integrations, and a fleet of AI agents that build and prove every change while engineers decide what ships. Creative Code runs one in production.

Which industries do you work in?+

Automotive retail is where most of our platforms live. We also run deployments in programmatic advertising, home services, resale and healthcare web.

Where is the team?+

Headquartered in Pittsburgh, Pennsylvania, with engineers across several time zones and FDEs who travel to the customer when the work needs it.