AI restaurant operations platform
A multi-tenant platform running menus, modifiers, table mapping, and role-based workflows across locations, with AI woven through daily operations rather than sitting beside them.
- Multi-tenant
- AI
- SaaS
Obie
Founder · Lead Full-Stack Engineer
Twelve years building production systems, 24+ months on frontier AI. Owns architecture, and what ships.
Priscilla
Partner · Strategic Operations
Runs engagements from first conversation through release. Owns scope, timelines, and communication.
Fractional CTO · AI-augmented delivery
You don’t need another full-time engineer.
You need a fractional CTO with frontier AI behind them — the output of a full-time hire, in half the time, at the standard enterprise systems are held to. We use AI to write the code, and we own every part of the job AI cannot be trusted with.
What we agree
A scope you can price, and a shared definition of done
Who we work with
Which one is yours?
Founders, startups, and agency partners usually come to us at one of five stages — depending on how far along their products are.
Nothing builtThirty years
From scratch
From scratchNothing built
There’s an idea, and nothing else.
A clear problem, a rough shape, and no code — the point where scope decides everything that follows.
What we do
Scope it to something you can price, then build the version that proves it.
Already have a team? We take the piece they can’t get to.
How the work divides
The code is AI-written. It reads like a person wrote it.
Guard rails, review discipline, and a named engineer signing off every release. That is the difference between generated code that holds up in production and generated code that becomes somebody’s problem in six months.
AI handles
- Groundwork and first draftsFinding what has already been solved, weighing up the tools worth using, and putting up a rough structure an engineer then shapes.
- Boilerplate and test coverageRepetitive wiring, fixtures, and the cases that are tedious to write but costly to miss.
- Documentation and monitoringInterface docs, change summaries, and the instrumentation that makes failures visible.
Engineers decide
- Architecture and data modelBoundaries, schemas, and the decisions that are expensive to reverse once traffic is on them.
- Security and accessAuthentication, authorization, and what data any given role is allowed to touch.
- What actually shipsEvery release is reviewed and signed off by the engineer whose name is on it.
Expected outcome
Production-grade software in weeks, with a named engineer accountable for the architecture, security model, and what ships.
Included capabilities
- Design docs
- Code review
- Test coverage
- CI/CD
- Infrastructure as code
- Observability
- Access control
- Release management
What we design & lead
Systems we design & lead.
We own the parts AI can’t: architecture, authentication, deployments and the systems that decide reliability and scale.
Backend
APIs & backend systems
The foundations that define boundaries, enforce business logic, and determine how safely a platform can keep changing. Designed to be extended, not worked around.
Infrastructure
Cloud infrastructure & DevOps
Predictable deployments and operational stability as the platform grows, so complexity doesn't scale alongside it. AWS and Google Cloud, containers, CI/CD, infrastructure as code.
Web
Web applications
Customer-facing systems where performance and architecture decisions show up directly in revenue and trust. SaaS platforms, multi-tenant products, commerce.
Mobile
Mobile apps
Native iOS and Android work where reliability, data integrity, and backend alignment decide whether the product holds up outside a controlled environment.
AI
AI integration
Intelligence placed where it creates leverage — automating decisions, cutting manual work, strengthening the core product instead of bolting fragile complexity onto it.
Selected work
Products we've built and released.
Four enterprise systems and internal tools — shipped by a team of two working with frontier AI models.
Dealership multi-site platform
Many dealer locations served from one codebase, built around server-side rendering, page speed, and search visibility, with tooling to keep structured inventory data moving between tenants.
- Multi-tenant
- SSR
- Automotive
Dealership data processing for CPAs
Accounting software that consolidates and processes dealership data from global sources, turning inconsistent operational exports into figures a finance team can close a month on.
- Data pipeline
- Finance
- Enterprise
Portfolio builder for the trades
A tool that lets blue-collar workers assemble and publish a credible body of work from their phone — proof of skill for people whose work has never had a good place to live online.
- Web
- Mobile
- B2C
Brand-voice content generation
AI content generation that holds a client's voice, tone, and brand instead of flattening everything into the same machine register — the difference between usable output and output that gets rewritten.
- AI
- Content
- SaaS
Native iOS applications
Shipped iOS work where on-device behavior, offline handling, and backend alignment matter more than the screens — apps that keep working when conditions stop being ideal.
- iOS
- Native
- Mobile
Transparent pricing
Three ways to work together.
Published rates, no discovery call required to find out what something costs.
Hourly
Flexible hourly billing for work that doesn't need a fixed scope agreed up front.
$200/hr
- Small scopes under 20 hours
- Ongoing work with variable scope
- Phased, long-running projects
- Exploratory development
Project-based
One-time delivery against an agreed scope, with the price settled before work starts.
Fixedprice
- Marketing sites and landing pages
- One-off applications
- MVPs with clear requirements
- Launches with a real deadline
Retainer
An ongoing partnership with reserved capacity, from a minimum of 20 hours per month.
Custom
- Continuous improvements and features
- Active products needing support
- Long-term technical partnership
- Dedicated engineering capacity
A useful first conversation
Built a prototype that needs to become real?
Built it with AI, or have a team keen to leave a legacy product behind? Tell us what production means. We’ll tell you honestly what it takes.