Discovery & business framing
We map business goals, constraints, and the real cost of the problem before touching any tooling.
Outputs: problem frame, success metrics, and a short list of what's actually worth building.
We design, build, and harden web platforms, mobile apps, and AI automations— whether you start from zero or fix what's already in production.
Take a product from zero or rebuild the part that's slowing you down. You get one senior crew across all four.
SaaS platforms, internal tools, client portals, marketplaces. Built to carry real load and pass real audits.
Product design · frontend · backend · infra02iOS and Android apps that hold up in the field — offline, sync, push, payments, release pipelines.
React Native · Swift · Kotlin · CI/CD03We map your real business processes, find where AI actually returns value, then design and build the automation layer around it.
Process mapping · agents · integrations · guardrails04Architecture review, technical due diligence, SOC 2-focused technical audits, refactor planning, and performance and cost optimization of existing systems.
Audits · architecture · security · cost & performanceEvery stage has a clear output and a clear owner. No phase exists for theater — each one removes a specific risk before it hits production.
We map business goals, constraints, and the real cost of the problem before touching any tooling.
Outputs: problem frame, success metrics, and a short list of what's actually worth building.
Scope split into working increments, technical architecture, data model, integrations, and release plan.
You see the full shape of the build before we start — no black boxes, no surprise rewrites.
Interfaces modeled on the real user path, not on a moodboard. Designed together with the engineers who'll ship it.
We work in Figma with a design system so the UI can survive feature growth without falling apart.
Working software in short increments, behind a real CI pipeline with tests, reviews, and observability from day one.
You can check progress in staging any time — there's no 'reveal at the end' phase.
Threat modeling, dependency and secret audits, load tests, and technical hardening of systems that need cleanup before external compliance work.
We ship with a production runbook — on-call steps, rollback plan, and a documented recovery path.
After launch we stay on the system: monitoring, incident response, iteration on real usage data.
You choose the engagement — a fixed support window, a retainer, or a clean handoff to your in-house team.
Most "AI projects" fail because they automate the wrong thing. We start by finding the processes where automation has real ROI, then build the system around them.
We sit with your operators and map the actual workflow — where time leaks, where errors cost the most, where people are copying data between systems.
Not every process is worth automating. We rank candidates by hours saved, error rate, and downstream impact — then cut the list to what's worth shipping first.
Agents, tools, retries, guardrails, human-in-the-loop review, observability. Designed so the system is auditable, not a black box.
Wired into your existing stack — CRM, ERP, data warehouse, internal APIs — with access control, logging, and a rollback path.
If a system needs SOC 2-related cleanup, we audit the code and infrastructure, identify technical blockers, and refactor the risky parts. We do not sell readiness packages, policy programs, or audit-management work.
No awards wall, no ping-pong table. Just the things that decide whether a project ships well.
Long enough to have seen what breaks in production and early enough to still care about the details.
No junior handoffs. The people scoping the work are the people writing the code.
You talk to the person who owns delivery, not to a rotating account manager.
Threat modeling, dependency hygiene, and technical audit work for compliance-sensitive systems — done during the build, not after a breach.
We profile, we measure, we cut waste. Optimization is part of the build, not a separate sales line.
We work across time zones. You get written updates, clear handoffs, and real progress between calls.
Both. About half of our engagements are rebuilds or optimization of systems already in production.
A fixed-scope discovery phase (1–3 weeks), then iterative delivery. You get working software in staging from week one of engineering.
Fixed-scope phases after discovery. Retainers for long-running support. We don't bill hourly for output — we bill for outcomes.
We only handle the technical side: codebase audits, infrastructure review, and refactor work to remove obvious blockers before a formal compliance engagement. We do not run the compliance program or prepare the full audit package.
Model-agnostic. We pick per task — frontier models for reasoning, open-weights for controlled on-prem work, vector stores for retrieval. No vendor loyalty, only fit.
Yes. NDA before discovery, then your MSA or ours, whichever is faster for legal.
Three options: fixed support window, monthly retainer, or clean handoff to your team with full documentation.
We operate worldwide, async-first. Location is a legal formality; delivery is not tied to a time zone.
A short note is enough — current problem, rough timeline, what you've already tried. We reply within one working day.
Working worldwide · usually reply within one working day