Custom software

# Stop bending your business around someone else’s software.

We build software in the shape of how your company actually runs, with experienced people who will still be there to support it.

[Talk about your current challenges →](/start?utm_campaign=home)

[For startups

## A complete product.

Product definition and a roadmap first, then fixed-price milestones. You always know what the next one costs.

How startups work with us →](/startups)[For businesses

## A custom platform.

Step one is the Opportunity Map: $1,000, one week. Where custom software would help, and where today’s setup exposes you.

How businesses work with us →](/businesses)

Need a technical leader? [Fractional CTO →](/retainer)Inherited code in trouble? [Rescue plan →](/lp/rescue)

Running in production today. A few examples, not the whole portfolio.

RecipeaterRecipes turned into a timed cooking plan you follow one step at a time.

DashboardLive view of every AI coding agent running across the studio.

One2BIndependent valuations of a company's data, done to international valuation standards.

AgentSiteMakes a website readable to ChatGPT, Claude and other AI assistants, and scores how well it does.

EventingEvery tech and startup event in a metro area, in one searchable place.

ProtocolA shared knowledge base that AI agents search instead of carrying everything in their prompt.

Revy AutosA used-car marketplace where private sellers list with an AI assistant's help.

![Recipeater: Thanksgiving: five dishes sharing one oven](/showcase/recipeater/01-desktop.webp)![Recipeater: Recipe page with its timing chart](/showcase/recipeater/02-desktop.webp)![Recipeater: Recipes filtered by time you're free](/showcase/recipeater/03-desktop.webp)![Recipeater: Ramen: four parts cooked over five hours](/showcase/recipeater/04-desktop.webp)![Recipeater: Scale servings, measure by weight or volume](/showcase/recipeater/05-desktop.webp)

![](/showcase/recipeater/01-phone.webp)![](/showcase/recipeater/02-phone.webp)![](/showcase/recipeater/03-phone.webp)

Thanksgiving: five dishes sharing one oven

Every recipe is broken into its parts and laid out on a timeline, so you can see what's on the stove, what's waiting, and when your hands are free. It runs on any phone in the kitchen.

-   consumer
-   scheduling
-   data visualization
-   mobile

[recipeater.founding.studio ↗](https://recipeater.founding.studio)

![Dashboard: Weekly budget burn-down against plan](/showcase/dashboard/01-desktop.webp)![Dashboard: Usage over three days, by project](/showcase/dashboard/02-desktop.webp)![Dashboard: Cost per call and cache efficiency](/showcase/dashboard/03-desktop.webp)![Dashboard: Session-by-session setup audit](/showcase/dashboard/04-desktop.webp)

![](/showcase/dashboard/01-phone.webp)

It reads the agents' own session logs to show how fast the weekly budget is going and which projects are using it. If the week is about to run out, you see it days ahead.

-   internal tool
-   AI agents
-   analytics
-   data visualization

[dashboard.founding.studio ↗](https://dashboard.founding.studio)

![One2B: The valuation range, with the point estimate](/showcase/one2b/01-desktop.webp)![One2B: Audit view: every calculation re-checked](/showcase/one2b/02-desktop.webp)![One2B: Income approach, year by year](/showcase/one2b/03-desktop.webp)![One2B: Valuation standards checklist, item by item](/showcase/one2b/04-desktop.webp)![One2B: Client's valuation summary and report](/showcase/one2b/05-desktop.webp)

![](/showcase/one2b/05-phone.webp)

A company answers a guided questionnaire and gets a signed report valuing its data three ways, with every figure traceable back to its inputs. Lenders and auditors can check the math themselves.

-   B2B
-   fintech
-   reporting
-   audit trail

[main.one2b.io ↗](https://main.one2b.io)

![AgentSite: Public score report for a live site](/showcase/agentsite/01-desktop.webp)![AgentSite: What an AI sees vs. a person](/showcase/agentsite/02-desktop.webp)![AgentSite: Every rendered page, scored](/showcase/agentsite/03-desktop.webp)![AgentSite: Which bots fetch which pages](/showcase/agentsite/04-desktop.webp)![AgentSite: Snippet health and cache hit rate](/showcase/agentsite/05-desktop.webp)

![](/showcase/agentsite/01-phone.webp)

Add one snippet and AI crawlers get a clean copy of every page. A public report scores the site, shows what an AI actually sees, and lists what to fix first.

-   SaaS
-   AI search
-   SEO
-   developer tool

[Case study →](/work/agentsite)[agentsite.app ↗](https://agentsite.app)

![Eventing: The week's events on a map](/showcase/eventing/01-desktop.webp)![Eventing: Week grid, day by day](/showcase/eventing/02-desktop.webp)![Eventing: Filterable list of the week's events](/showcase/eventing/03-desktop.webp)![Eventing: Event detail, linked to its source](/showcase/eventing/04-desktop.webp)![Eventing: Organizer directory ranked by activity](/showcase/eventing/05-desktop.webp)

![](/showcase/eventing/01-phone.webp)![](/showcase/eventing/02-phone.webp)![](/showcase/eventing/03-phone.webp)![](/showcase/eventing/04-phone.webp)![](/showcase/eventing/05-phone.webp)

Thousands of events from many sources, de-duplicated and placed on a map, a week grid and a list. You can also follow the organizers who run the good ones.

-   consumer
-   marketplace
-   maps
-   data pipeline

[eventing.founding.studio ↗](https://eventing.founding.studio)

![Protocol: A protocol page, written for agents](/showcase/protocol/01-desktop.webp)![Protocol: Full-text search across repositories](/showcase/protocol/02-desktop.webp)![Protocol: A repository and its command loop](/showcase/protocol/03-desktop.webp)![Protocol: Landing page: install in one line](/showcase/protocol/04-desktop.webp)

![](/showcase/protocol/02-phone.webp)![](/showcase/protocol/04-phone.webp)

Teams write down how they do things once, and every agent session looks it up when it needs it. Agents stay smaller and cheaper, and they follow the house rules.

-   developer tool
-   AI agents
-   search
-   knowledge base

[protocol.supply ↗](https://protocol.supply)

![Revy Autos: Showroom of cars for sale](/showcase/revyautos/01-desktop.webp)![Revy Autos: Vehicle listing with next steps](/showcase/revyautos/02-desktop.webp)![Revy Autos: Full photo gallery for a listing](/showcase/revyautos/03-desktop.webp)

Sellers upload photos and answer a few questions, and the listing comes out complete and ready to share. Buyers browse a clean showroom and send inquiries.

-   marketplace
-   automotive
-   AI assistant

[Case study →](/work/revyautos)[revyautos.com ↗](https://revyautos.com)

What working with us is like

## Three things you will notice.

We advise

### We tell you what to build, not just what you asked for.

"Add a dashboard for the sales team."

We ask what decision the dashboard is meant to change, then build the one report that changes it, and skip the other six.

We support it

### We have already run software like yours at scale.

"What happens when we have ten times the customers?"

You get the answer before launch, not after: the data model, the deploys and the on-call plan are decided up front, and we stay on to run them.

We move fast

### Current tools put custom software in reach of smaller budgets.

"We looked at custom and the number was out of range."

Work that took a team a quarter now takes weeks. Ask again; the number has changed.

Recent work

## Built, shipped, still running.

[

Build · Scale

### Revyautos

Honda-backed automotive marketplace, zero to scaled production.

-   10,000 listings shipped
-   Peak team: 12 engineers, 20 total
-   CTO end-to-end · Q1 2024 → Q4 2025

Read the case →

](/work/revyautos)[

Build · Speed

### AgentSite

Made AI search readable for client sites, built from a gap we kept seeing.

-   Idea to first paying customer in 4 weeks
-   Multi-tenant SaaS in production
-   Runs wilde.agency itself

Read the case →

](/work/agentsite)[

"He doesn't hand me theory, he hands me the next correct decision." David, Weaverley

Advise · Fractional CTO

### Weaverley

-   Fractional CTO at a pre-launch product
-   Review workflow changed in week one
-   A fix stalled for 2.5 weeks shipped that week

Read the case →

](/work/weaverley)

[See more of what we have built →](/development)

## Questions we get first.

**Why not buy off-the-shelf software?**

Often you should. We will tell you when that is the right answer. Custom pays off when the business has outgrown the tool and your people spend their days working around it.

**What does it cost?**

Startup builds are fixed-price milestones after a product definition. For a business, we start with the Opportunity Map at $1,000, which scopes everything after it. The cost calculator gives a rough range first.

**Who do I actually work with?**

Senior engineers who have built and run this kind of software before, starting with Dathan. You are not handed to someone learning on your project.

**What happens after launch?**

We stay on. Hosting, fixes, and the next round of changes are part of the plan from the first call, not an upsell later.

## Tell us where it hurts.

A conversation about the work your software makes harder. You will leave knowing whether custom is worth it, even if we never work together.

[Talk about your current challenges →](/start?utm_campaign=home)

Got a question?