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Software your engineers would have built, if they had the time

We’re an AI SaaS development company building portals, dashboards, internal tools and products — with AI accelerating delivery and senior engineers deciding what’s correct.

01

Who this is for

  • CTOs at 20–200 person software companies whose team is fully committed to the core product
  • Founders who need an AI capability shipped and can’t hire ahead of revenue
  • Operations leaders who were quoted six figures for an internal tool and balked

02

You could build this yourself. That’s not the problem.

You almost certainly could. Your engineers are good. The problem is that they’re on the product, and this will be in the backlog for nine months.

That’s a capacity problem, not a capability problem — and it’s the honest reason to hire us rather than any claim that we’re better engineers than the ones you already employ.

The other reason: generating an application has become nearly free, which means the market is full of things that were generated. Something you run a business on still needs architecture decisions, edge-case handling, security thinking, and a person who is answerable when it goes wrong.

03

What we deliver

Full-cycle product engineering
Portals, dashboards, internal tools, customer-facing SaaS.
LLM integration
Where it earns its place, with the same evals and guardrails as our agent work.
API integrations
To the systems the product has to live with.
UI/UX discovery
Included, not sold separately.
QA owned by a senior engineer
Not delegated to the person who wrote the code.
Documented handover
Architecture, decisions, runbook, and a codebase your team can pick up.

04

How we build

Weekly demos, not monthly status reports. AI does the heavy lifting on scaffolding, tests and exploration. A senior engineer decides architecture, reviews the security surface, and owns the go-live call.

Small increments, deployed early. You should be looking at working software in week two, not a design document in week six.

Web application architecture with frontend, API layer, guarded LLM integration and data storeFrontend to API layer, down through the guardrail layer and up into the LLM integration, then out to the data store.Fig. S-04 — web app architectureFrontendAPI layerLLMguardedStoredataGuardguarded call[ the guardrail layer sits inside the call path ]
Reference architecture — the shape a web-app build ships in. No client system depicted. Accent — the guarded LLM path.

05

What we won’t do

  • Brochure websites. AI has made those nearly free and we’d be a bad way to buy one
  • Fixed-price contracts on genuinely unknown scope — we’ll phase it and tell you what we don’t know
  • Staff augmentation. We sell an owned outcome, not hours
  • Rebuild something an off-the-shelf product does well

07

What it costs

From $10,000

Full pricing, what's included and what isn't — see pricing

08

After it ships

Care plans from $150/month — hosting, monitoring, patches and a small change allowance. Fractional capacity from $1,500/month if you want a reserved block of senior hours instead of a project.

09

Process and timeline

  1. 01Diagnose30 minutes
  2. 02DiscoveryAnd scope — 1–2 weeks
  3. 03BuildIn increments, weekly demos — 4–12 weeks
  4. 04HardenAnd hand over — 1–2 weeks

10

FAQ

What’s your stack?
React and Next.js, TypeScript, Postgres, and whatever your existing systems require. This site runs the same stack we’d build yours on.
Do we own the code?
Yes, on final payment, with IP assignment in the contract.
Can you work with our existing team?
Yes — and we prefer it. We’ll review your conventions and match them rather than imposing ours.
What if we want to take it in-house later?
That’s the intended outcome. Handover documentation is a deliverable, not a favour.

Book a build review

Thirty minutes with the engineer who'd own the build. No pitch, no deck. Bring the problem; we'll tell you whether it's worth solving and roughly what it costs.

Book a build review