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How We Work
How We Work
A systematic approach to building excellence.
Discovery & Product Scoping
Free 60-minute call to understand your product vision, target customers, competitive landscape, and technical requirements. We'll identify the critical path to your first milestone and give you a clear scope and timeline estimate.
Architecture & Technical Planning
We design the system architecture, choose the right technology stack, define the data model, and create a development roadmap with clear milestones. You know exactly what we're building and in what order before a line of code is written.
Iterative Development
Bi-weekly sprints with demos and deployed builds at each sprint end. You see and test working software constantly — not just at the end of a multi-month engagement.
Launch & Growth Engineering
Launch to production with full monitoring, on-call support, and documentation. We stay engaged post-launch to fix production issues, optimize performance, and build the next feature set.
Case Studies
Case Studies
What Our Clients Say
“We needed a fund administration platform that could handle institutional-grade complexity from day one — strict role-based access for GPs, LPs, and auditors, automated waterfall calculations, full audit trails. The team architected the product to support SOC 2 readiness from the first line of code, shipped the platform in 14 weeks, and we passed SOC 2 Type II six months later. The combination of speed and engineering rigor is rare. They genuinely cared about the product succeeding, not just the hours billed.”
“We had strong product-market fit with mid-market customers but kept losing enterprise deals because of multi-tenancy architecture problems — one heavy customer's queries degraded performance for every other tenant. They designed and shipped a tenant-isolated query execution layer with zero-downtime migration across our entire customer base. Sub-second P95 query response held through enterprise workloads from launch day. We closed three anchor enterprise customers in the eight weeks after launch.”
“Building production-grade AI infrastructure is harder than calling an LLM. We needed streaming responses without connection timeouts, intelligent routing between model providers by cost and latency, conversation context storage that didn't blow up our database costs, and budget guardrails that didn't break user experience. They built the entire infrastructure layer over four months and we shipped to enterprise customers immediately after. The system has handled 100x our launch traffic without architectural rework.”
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