AI automation and custom software for mid-market operators.

Senior engineers shipping in weeks. Milestone-gated phases. You own the code at handoff.

  • Senior engineers only
  • Milestone-gated phases
  • You own the code
  • Ships in weeks, not quarters
Industries shipped to

Case studies published once clients clear them for use.

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What we build

Four services. One outcome: your team out of manual work.

We don't build websites or apps as a category — we build the operational outcome you need, in whichever format fits. These four cover most of what mid-market operators ask us for.

01

AI Automations

Replace manual workflows with AI that runs in production.

  • Lead scoring
  • Document processing
  • Support classification
  • Inbound triage
02

AI Integrations

Wire AI into the tools you already use.

  • CRM enrichment
  • Slack / Teams agents
  • Email auto-replies
  • Internal copilots
03

Custom SaaS

Ship the SaaS feature your team can't get to this quarter.

  • Customer-facing products
  • Internal SaaS
  • Multi-tenant apps
  • API platforms
04

Internal Tools

Replace the spreadsheets running your business.

  • Ops dashboards
  • Admin panels
  • Workflow apps
  • Reporting tools
Our process

Four phases. Stop after any of them.

Every engagement is milestone-gated — fixed scope per phase, working deliverable at the end of each, exit when you want. You're never six months into a vendor lock with a half-built thing.

  1. 01

    Discover

    2 weeks

    We map your problem, scope the solution, write the architecture doc. You exit with a deliverable even if we don't move forward.

    Architecture doc
  2. 02

    Architect

    1–2 weeks

    System design, stack choices, sequencing. The build plan you'll see ship — costs, milestones, dependencies, all of it.

    Build plan + estimate
  3. 03

    Build

    2–4 wk milestones

    Working software at the end of every milestone. Stop whenever — you keep what's shipped, not a half-built thing.

    Production-ready code
  4. 04

    Launch & own

    1 week

    Production deploy, monitoring, full handoff. Code, docs, deployment — yours. No lock-in unless you ask for retainer.

    Full handoff package
Why teams choose us

Three commitments that change the math.

01

Senior engineers only

No junior pass-through.

Every engineer on your project has shipped this kind of work before — AI in production, custom SaaS in market, internal tools at scale.

02

Milestone-gated, not hourly

Fixed scope per phase.

Working deliverable at the end of each. Stop after any milestone and you keep what shipped — not a half-built thing with an open invoice.

03

You own the code

Repo, docs, deployment — yours.

We don't lock you into a maintenance dependency. Retainer is opt-in, not the price of working with us.

How we ship AI

We don't build AI demos. We ship AI that runs in production.

Every AI automation we deliver is evaluated, monitored, and owned by you at handoff. The thing that wins a hackathon is not the thing that handles 50,000 production runs a month without paging your team at 3am.

  • Frontier models01

    Claude, GPT, Gemini. We pick by capability per workflow, not by hype.

  • Open-source models02

    Llama, Mistral, Qwen. For self-hosting, fine-tuning, cost control, or regulatory reasons.

  • Retrieval (RAG)03

    Grounding in your data so the model answers from what you know — not what its training set guessed.

  • Agentic patterns04

    When the workflow has decisions to make and tools to call, not just text to generate.

  • MCP servers05

    Model-context-protocol integrations so AI calls into your stack the way a developer would.

  • Evaluation pipelines06

    Every prompt, every output, every regression caught before a customer sees it.

  • Observability07

    Every AI step logged, every failure traceable, every output reviewable. You audit the system.

  • Provider-agnostic08

    Swap models without rewriting consumer code. Vendor risk priced down to a config change.

The integrations and tools we ship keep working regardless of which model wins next year. Every AI step is instrumented so you can swap providers without rewriting the system.

Common questions

Things teams ask before booking.

01What if we've been burned by an agency before?

Our model is built for that exact anxiety. Discovery is fixed-scope and you exit with an architecture doc whether or not we continue. Build phases are milestone-gated — two-to-four weeks each, working software at every milestone, stop whenever. You're never six months into a vendor lock with a half-built thing.

02How are you different from offshore or staff-augmentation firms?

Three things. Senior-only — every engineer on your project has shipped this kind of work before. Outcome-owned, not hourly — fixed scope per phase, not invoice-by-the-hour. And we ship the thing — production deploy, monitoring, handoff — we don't just write code and email you a zip. If those three don't matter for your project, staff-aug is cheaper and that's fine.

03We already have an engineering team. Why hire you?

Two reasons people do it. One: unblock work your team can't get to this quarter — internal tools, AI integrations, the things the product roadmap never makes room for. Two: plug a gap while you hire — we hand off cleanly when your team has capacity. We don't compete with your engineers; we work next to them.

04Is AI a hype cycle? Will what you ship still work in 18 months?

The integrations and tools we ship keep working regardless of which model wins. Every AI step is instrumented so you can swap providers without rewriting the system. The deliverable isn't "we used Claude" — it's "we built a classifier that processes your tickets, with eval coverage and observability, that you can route through any frontier or open-source model without changing the consumer code."

05How do we know you can do what we need before we commit to a build?

Discovery phase. Fixed scope, two weeks, fixed price. You see how we work — the questions we ask, the architecture we propose, the team we put on it. You exit with an architecture doc and a build plan that any team could execute against. If we're not the right fit you walk with a usable document and no further commitment.

06When is no-code (Zapier, Make, Retool) the right answer?

When the workflow is simple, the volume is low, and the integration depth is shallow — no-code is genuinely the right choice and we'll tell you. We build the 20% no-code can't reach: AI-heavy workflows, high-volume processing, custom business logic, multi-tenant SaaS, deep integrations with private APIs. If your problem fits no-code, save the budget.

30 minutes · No pitch

Ready to stop scaling ops headcount linearly?

We'll tell you in the first 10 minutes whether we're the right fit — or whether you should hire in-house, use no-code, or pick a different agency.

Book a discovery call