Custom Engineering

AI built the prototype. We ship the production system.

In 2026, anyone can stand up a working prototype in a weekend with Cursor, Lovable, or v0. The hard part — and the one that decides whether your software survives its first thousand users — is everything that comes after. Production hardening, security, integration depth, multi-year maintainability. That gap is where we live.

12+ yrs
Avg engineer experience on every project
95%
On-time delivery across fixed-price builds
< 2 hrs
CVE patch SLA across all hosted systems
5+ yrs
Avg client engagement length once we ship
What We Deliver

A working prototype is now cheap. A system that still works in three years is not.

The job of a custom software partner has shifted. The bottleneck is no longer "can we build this" — AI coding tools have largely solved that for greenfield UI and CRUD work. The bottleneck is "will this still be maintainable, secure, and changeable when the business has moved on twice and the original team is gone." That is what we engineer for: not the demo, but the boring decade after it. Spec-driven development, real test coverage, deployment hygiene, and architecture chosen for the people who will inherit it.

  • Spec-Driven Engineering Workflows
  • Production Hardening of AI-Built Prototypes
  • Multi-Tenant SaaS Platforms
  • Legacy System Modernization
  • Internal Tools & Operational Dashboards
  • Third-Party Integration Layers
  • Compliance-First Architecture (SOC 2, HIPAA, GDPR)
  • Performance & Scalability Engineering
  • Test Infrastructure & CI/CD
  • Long-Horizon Maintenance & Knowledge Transfer

Production Hardening of AI Prototypes

You shipped a working Lovable, v0, or Replit Agent prototype and now real users are showing up. We take prototypes to production: auth, rate limiting, observability, error handling, accessibility, security audits, and the test infrastructure that lets you sleep.

Multi-Tenant SaaS Platforms

Row-level tenant isolation, per-tenant feature flags, custom branding, usage-based metering integrated with Stripe, audit logs scoped per tenant. Architected so single-tenant clients can be lifted out cleanly for enterprise self-hosting deals.

Legacy Modernization Without Downtime

Strangler-fig migrations from monoliths to modular services, with traffic gradually shifted route-by-route via feature flags. Old and new run in parallel until the cutover is provably safe. No big-bang weekends.

Full Capabilities

Everything you need to succeed

Production Hardening of AI Prototypes

You shipped a working Lovable, v0, or Replit Agent prototype and now real users are showing up. We take prototypes to production: auth, rate limiting, observability, error handling, accessibility, security audits, and the test infrastructure that lets you sleep.

Multi-Tenant SaaS Platforms

Row-level tenant isolation, per-tenant feature flags, custom branding, usage-based metering integrated with Stripe, audit logs scoped per tenant. Architected so single-tenant clients can be lifted out cleanly for enterprise self-hosting deals.

Legacy Modernization Without Downtime

Strangler-fig migrations from monoliths to modular services, with traffic gradually shifted route-by-route via feature flags. Old and new run in parallel until the cutover is provably safe. No big-bang weekends.

Internal Tools & Operational Dashboards

The CRUD interfaces, admin panels, and back-office tools that compound a business's operational leverage. Built fast because the patterns are well-known, built right because nobody else is going to maintain them.

Compliance-First Architecture

SOC 2, ISO 27001, HIPAA, GDPR designed into the system from sprint one — not retrofitted at audit time. Encryption at rest and in transit, RBAC with audit trails, data residency controls, sub-processor inventory ready for buyer security reviews.

Integration Layers That Survive Vendor Changes

Salesforce, SAP, NetSuite, Stripe, HubSpot, internal ERPs. Built with an explicit adapter pattern so when the source system changes (and it will) the rest of your software does not need to.

Data Architecture That Scales With You

PostgreSQL by default, with read replicas, partitioning, and analytical replicas before they are needed. Schema migrations versioned and reversible. Database choices made for the workload, not for the framework default.

Reporting & Analytics Surfaces

Real-time dashboards for operators, scheduled reports for executives, exportable CSV/PDF for compliance, embedded analytics for end users. We build the data pipeline once and surface it across every role that needs it.

AI Feature Augmentation

Embed grounded LLM features into existing custom software: document intelligence, smart search, anomaly detection, copilots. With proper eval infrastructure, cost controls, and prompt-injection defenses — not the cargo-cult chatbot version.

Documentation Future Maintainers Will Actually Read

Architecture decision records, runbooks for every operational scenario, README that gets you to a running local environment in 15 minutes. The institutional knowledge that survives team turnover.

Our Process

How we build with you

01

Discovery & Architecture Decisions

Two-week structured discovery — workflows, integrations, constraints, regulatory scope. Output: an architecture decision document with the trade-offs made explicit, signed off before any code is written.

02

Spec-Driven Build Cycles

Every substantive feature gets a short specification with goal, interface, constraints, and acceptance criteria before implementation. Specs review faster than PRs and catch ambiguity before it ships as a bug.

03

Production Readiness From Day One

CI/CD pipeline, automated tests, error monitoring, structured logging, and feature flags wired up in week one — not bolted on at the end. The first deploy to staging happens in week two.

04

Bi-Weekly Demos On Real Staging

Every two weeks, you see working software on a real staging environment — not slides, not screenshots. You provide feedback live; we capture and prioritize for the next sprint. The "surprise at the finish line" failure mode does not happen here.

05

Handover & Long-Horizon Support

Knowledge transfer to your internal team or a maintenance retainer, documented runbooks, architecture decision records, full IP transfer. The system runs without us if that is what you want.

Technology Stack

Built with proven technologies

TypeScriptNext.js 16 (App Router)Node.js (NestJS, Express)Python (FastAPI, Django)PostgreSQLRedistRPC / GraphQLPrisma / DrizzleDocker / K8sAWS / GCP / DigitalOceanTerraform / PulumiPlaywright / Vitest
FAQ

Common questions

Building the first version is now cheap — that part is settled. What is not settled: production hardening, security review, accessibility, performance tuning, multi-tenancy, integration depth, test coverage, observability, regulatory compliance, and long-term maintainability. A prototype that handles 10 users with happy-path inputs is a different system than one that handles 10,000 users with edge cases, audits, and a five-year change history. The latter is what we build.

Often yes, and that is increasingly common. We audit the prototype, identify the gaps (usually authentication, error handling, security, test coverage, accessibility, and performance), and either harden in place or rewrite specific layers. Honest assessment up front: sometimes the prototype is good enough as a starting point, sometimes the underlying architecture has to be replaced. Either way you keep the validated requirements.

Three reasons that still hold in 2026: you own the IP and can extend it in directions generic SaaS will not support, you avoid per-seat or per-event fees that compound at scale, and you can integrate deeply with your specific operational systems. Custom software ROI typically beats SaaS economics within 18-36 months for businesses past a few dozen users. Below that threshold, SaaS is usually right — we will tell you which side of it you are on.

Change is expected and managed. We use a formal change request process: scope, timeline, and cost impact documented before the change is incorporated. Small changes are absorbed in sprint buffers; significant changes are surfaced early in a written assessment. We have never had a project derail from scope changes because we surface impact when it is still cheap to react.

You do — completely. All code, designs, documentation, and architectural artifacts transfer to your GitHub organization under your control. No licensing fees, no carve-outs, no vendor lock-in. The same applies to documentation and any internal tools built during the engagement.

Mutual NDA before any discovery session. Every team member is under a confidentiality agreement. Internal communications stay in dedicated channels per client. We do not reference specific client business logic in any external content without explicit written approval.

Three options: a 30-day hypercare period (included in every build engagement at no extra cost) for transition to your internal team, a monthly maintenance retainer for ongoing improvements and dependency patching, or full handover with runbooks for self-managed operation. Roughly 60% of build clients convert to a maintenance retainer; the rest go internal. Both are good outcomes.

Our published SLA is patch in under 2 hours for critical advisories on systems we maintain. We monitor the CVE database across every dependency and run a Node-advisory poller against the installed manifest every six hours. In May 2026 we patched the Next.js GHSA-26hh-7cqf-hhc6 advisory across 8 production deployments within 90 minutes of disclosure — see the response playbook on our blog for the full operational detail.

Ready to get started?

Let's discuss your project and see how we can help you build something extraordinary.