Our Services

Everything we do. in detail.

The short version lives on the homepage. Here's exactly what each engagement includes, who it's for, and how it runs from kickoff to delivery.

Discovery & Strategy

You know something's not working. We find out what to fix first

Most technical failures don't start in the code, they start with a scope nobody pressure-tested. Discovery & Strategy is where we turn a validated problem into a buildable plan: the exact feature set for v1, the tech stack that fits your budget and timeline, and the sequencing that avoids expensive rework later.

You leave with more than a deck. You leave with a scoped, estimated, de-risked plan that a technical co-founder, an investor, your own team, or a dev shop you hire elsewhere can pick up and execute without guessing.

Who it's for

Teams with a validated problem and a rough idea of the solution, who need a concrete plan before committing budget or people.

Running an AI initiative?

Start with Pathfinder, our fixed-scope AI Readiness Diagnostic — a focused entry point into Discovery & Strategy. See Pathfinder

What's included

  • Scope definition, what's in v1, what's deliberately deferred
  • Tech stack recommendation, with the tradeoffs explained in plain language
  • Cost and timeline estimate you can take to investors or use to plan your own budget
  • Phased roadmap sequenced by milestone, not just a feature list
  • Risk and assumption log, what has to be true for this to work
  • Build vs. buy vs. no-code recommendation for each major component

How it works

01

Discovery call

We start with a conversation about the problem, the market, and what success looks like in 6 months.

02

Research & mapping

We map the competitive landscape, technical constraints, and user flows before proposing anything.

03

Scope workshop

Together, we sort every feature into "ships in v1", "v2", or "cut", no vague roadmaps.

04

Roadmap delivery

You receive the scoped plan, stack recommendation, and cost/timeline estimate, ready to share with your team or investors.

Typical timeline:1–2 weeks

MVP Build

From idea to working product, fast

This is where it gets built, in weeks, not months. We use no-code, low-code, or custom development, whichever gets a real, usable product in front of users fastest without cutting corners on what the build actually needs to prove.

You're not getting a prototype that falls apart under real use. You're getting a working product with the deployment, hosting, and instrumentation in place to actually collect the feedback it exists to generate.

Who it's for

Anyone who's completed discovery (with us or elsewhere) and is ready to build the first real version, a product, or an internal tool.

What's included

  • A working product, not a clickable prototype
  • Deployment and hosting configured and live
  • Basic analytics instrumentation so you can see what users actually do
  • User-testing-ready build, with the rough edges that matter smoothed out
  • Lightweight admin or ops tooling where the business needs it
  • Two weeks of iteration support after launch

How it works

01

Kickoff & setup

We lock the scope from Discovery, set up environments, repos, and the tooling the build will run on.

02

Build sprints

Weekly builds with visible progress, you see the product taking shape, not a status report.

03

Internal QA

We test against the core hypothesis and the edge cases that would actually break trust with early users.

04

Launch & handover

We ship to production and walk you through everything, no black boxes, no vendor lock-in.

Typical timeline:4–8 weeks, depending on scope

Fractional CTO

Technical leadership without the full-time cost

An ongoing technical partnership for teams who need senior technical judgment without a full-time hire. We make the architecture calls, oversee your development team (in-house or outsourced), and sit in the room for the conversations that shape the technical direction.

This isn't advisory-only. We review code, run sprint planning, and are accountable for technical delivery the same way an in-house CTO would be, just without the equity and full-time cost.

Who it's for

Teams with something already in development who need technical leadership, oversight, or a translator between engineering and the business.

What's included

  • Architecture and technical decision-making
  • Dev team oversight, in-house, contractors, or agencies
  • Sprint planning and delivery accountability
  • Code review cadence and quality standards
  • Stakeholder communication, in plain business language
  • Technical due diligence support, for fundraising or M&A

How it works

01

Technical audit

We assess the current codebase, team, and architecture to know exactly what we're inheriting.

02

Weekly cadence

Recurring working sessions covering priorities, blockers, and decisions that need a call.

03

Ongoing oversight

We're in the sprint planning, the code reviews, and the architecture conversations, not just a monthly check-in.

04

Quarterly strategy review

We step back regularly to check the technical direction still matches the business direction.

Typical timeline:Ongoing, monthly retainer

Scale & Migrate

It worked. Now make it handle real growth

What you built worked, but the architecture that got you here is starting to show its limits. We re-engineer for scale: migrating from no-code to custom where it matters, optimizing what's actually under load, and building infrastructure that handles real traffic instead of just demo traffic.

This is a targeted move, not a rewrite from zero. We migrate the parts that are actually the bottleneck and leave the rest alone, so you get the scale you need without the cost and risk of starting over.

Who it's for

Teams whose system has outgrown its original no-code, low-code, or early architecture and needs to handle real growth.

What's included

  • Technical audit identifying the actual bottlenecks, not assumed ones
  • No-code to custom migration for the components under load
  • Performance optimization across the highest-traffic workflows
  • Cloud infrastructure sized and configured for your growth curve
  • Observability and monitoring so issues surface before customers notice
  • AI and automation integration where it removes real operational cost

How it works

01

Technical audit

We identify exactly what's the constraint, architecture, database, infrastructure, or all three.

02

Migration plan

A phased plan that migrates what's under load without freezing feature development.

03

Phased rollout

We migrate in stages, validating each one against real traffic before moving to the next.

04

Post-launch monitoring

We stay engaged after the migration to confirm it holds under real load, not just in testing.

Typical timeline:2–6 weeks, depending on scope

Not sure which one fits?

Book a free 30-minute call and we'll help you figure out where to start.