Services
We help engineering teams move from AI demos, platform debt, and fragmented client apps to production systems — with one accountable senior team.
Problems we solve
Not abstract “digital transformation.” These are the messy, familiar blockers that show up in planning and Slack.
There’s a notebook or a weekend PoC. Product wants it in the app next quarter. Nobody owns auth, data access, cost controls, or what happens when the model is wrong.
Outcome
A scoped AI feature wired into your product — with clear ownership through release.
It answers in prose, but the job is to fill a form, draft a record, trigger a workflow, or hand off to a human. Open chat isn’t the product.
Outcome
An assistant that collects what’s needed, validates it, and completes a real step in your product.
Auto-updating tickets, CRM fields, or configs sounds great until one bad run. You need approvals, guardrails, and a trail — not “trust the model.”
Outcome
Automation with human checkpoints where mistakes are expensive.
Your “SDK” is really a set of private APIs and Slack answers. New consumers reinvent auth, config, and analytics. Support load grows with every win.
Outcome
An SDK/API surface partners can integrate without a dedicated escort.
Player, analytics, theming, identity — copied three times. A bug fix means three PRs and three release trains. Shared logic never quite stays shared.
Outcome
A reusable layer other apps can take — without forking the product.
APIs or AI endpoints exist, but mobile/web still needs architecture, edge cases, performance, and store/release work. The handoff is where the timeline dies.
Outcome
Client delivery owned through a real release — not left as “the app team will figure it out.”
Startup, media, offline, deep links, or heavy screens. You have crash dashboards and a backlog of “we’ll refactor later” that never gets a senior owner.
Outcome
Stabilized, maintainable client code on the paths users actually hit.
One team for AI, one for apps, someone else for APIs. Standups are status theater. When it breaks in production, nobody owns the seam.
Outcome
One team accountable across the AI ↔ platform ↔ client boundary.
Lead service · 01
Get AI out of the demo and into the product your users already use — with someone owning the hard parts through release.
No login context, no rate limits, no empty states, no plan for bad answers. It looked great in a slide.
Prompt changes ship by gut feel. There’s no eval set, no regression check, no owner when output quality drifts.
You’re stuck between hype and risk. You need a thin slice that does useful work with approvals — not a science project.
Capability · 02
Turn product guts into something other teams — and partners — can adopt without camping in your Slack.
Consumers need auth helpers, config, error contracts, samples, and versioning. Without that, every integration is bespoke.
Knowledge lives in a few heads. New engineers are afraid to touch the shared layer. The platform quietly becomes a museum.
No clear public surface, no migration path, no packaging discipline — consumers find out in production.
Capability · 03
Own the surfaces users touch — Android, iOS, and web — so features don’t stall after the API is “ready.”
It wasn’t. State, offline, navigation, media, and store releases still need real engineering — and a real owner.
Android modernized; iOS didn’t. Web is a third stack. Shared product behavior becomes a negotiation.
Player, dialer-adjacent flows, legacy networking, build pipelines — work piles up because it’s high risk and under-owned.
Engagements
Pick the shape that matches how clear the problem is. Either way, you get senior ownership — not a staffing marketplace.
You know the outcome: ship this AI feature, land this SDK milestone, get this app release out.
The roadmap keeps moving and you need continuous senior capacity across AI, platform, and clients.
A short note on the situation, constraints, and timeline is enough. We’ll reply with fit and a clear next step.
Discuss your project