AI Solutions
AI woven into the workflow it actually helps — not a chatbot bubble bolted onto the corner of your screen.
Most 'add AI to our product' requests actually have one or two specific workflows in mind, once you dig past the first conversation. We find that leverage point, integrate the model natively into the existing flow your users already know, and wrap it in the evaluation and fallback behaviour that keeps a bad model response from ever reaching a user unchecked.
You'll get a concrete evaluation suite — pass rate, hallucination rate, latency — that runs before every prompt or model change ships, so quality regressions get caught in staging, not in a user's support ticket.
We're deliberately not the studio that quotes you a number and disappears until the deadline. Expect short, regular check-ins, staging access from early on, and a straight answer any time something turns out to be harder — or easier — than it looked at the start. If a piece of this isn't the right fit for your team, we'll say so directly rather than stretching the engagement to fill a quarter.
How we build it
Find the leverage point
We identify the one or two workflows where AI genuinely moves the needle, not a wishlist of every possible use.
Ground it in your data
Retrieval over your own documents where relevant, so answers are grounded instead of guessed from memory.
Integrate natively
AI woven directly into the flow users already use, not a separate chat window bolted on top.
Guard the output
Evaluation and graceful fallbacks so a low-confidence response degrades safely instead of misleading a user.
Frequently asked
It's a starting model, not a rigid package — we scope the exact mix of work to your specific stage and constraints on a short discovery call before anything is signed.
Capabilities are the individual engineering skillsets (full-stack, AI, backend, etc). Solutions describe how those capabilities come together for a specific kind of team or goal — the engagement shape, not just the technical work.
Fixed-price for a well-scoped build, or a monthly retainer for ongoing/open-ended work. You'll get a number before we start, and any scope change is flagged with its cost impact before we act on it.
Most engagements begin with a discovery call within a few days of first contact, and a scoped plan within a week after that — we don't run a lengthy sales process before you see real progress.
Yes — this is common. Our Business Analyst phase exists specifically to translate a founder's domain knowledge into a build-ready spec, without requiring in-house technical leadership.
In most cases, yes — we design around your existing stack and integrations rather than asking you to rip and replace what already works.
Ongoing support is available on the same terms as the build phase — monitoring, fixes and iteration based on real usage, not a hard stop the day it launches.
Yes, as standard practice — happy to sign yours or share ours before any detailed conversation.
Who this is for
- Founders or teams who recognise this exact shape of problem in their own work
- Teams evaluating whether an outside build partner fits better than hiring in-house right now
- Operators who've outgrown a spreadsheet, template or DIY tool that used to be enough
- Anyone who wants a concrete engagement model before committing to a longer conversation
- Teams that tried this in-house or with another studio and hit a wall on scope, quality or timeline
What you walk away with
- A discovery-call scope tailored to your actual stage, not a generic package
- A single named senior owner for the engagement, start to finish
- Weekly visibility into progress — staging builds, not status-update emails
- A clear, upfront number before any work starts, fixed-price or retainer
- A support window built into the engagement after launch, not billed as a surprise add-on
Who works on this
AI & Full-Stack Developer · QA · Testing
Have a project like this?
Free 30-minute consultation — no pressure, no obligation.
Start a project Email us directlyRelated
Startups
Ship an MVP fast without cutting the engineering corners that come back to bite you at your next raise.
SaaS
Multi-tenant, subscription-ready products engineered to survive customer #1 through customer #10,000.
Digital Products
Consumer-grade products that feel finished on launch day, not a 'v1 with rough edges'.