Six modules. One team.

Every engagement draws from the same set of capabilities — engineering, infrastructure, AI, design, data, and support. Take one module or combine all six under a single team.

01 — PRODUCT ENGINEERING·02 — CLOUD & INFRASTRUCTURE· 03 — AI & AUTOMATION·04 — INTERFACE DESIGN· 05 — DATA PLATFORMS·06 — ONGOING SUPPORT· 01 — PRODUCT ENGINEERING·02 — CLOUD & INFRASTRUCTURE· 03 — AI & AUTOMATION·04 — INTERFACE DESIGN·
MODULE 01

Product Engineering

Full-stack product builds — from a rough idea to something real users touch. We work in React and Next.js on the front end, Node or Python on the back, matched to what the problem actually needs.

  • Technical discovery & architecture
  • Frontend and backend implementation
  • API design & third-party integration
  • Automated testing
  • Code review & documentation
Typical stack
TypeScriptReactNext.js Node.jsPythonPostgreSQL
MODULE 02

Cloud & Infrastructure

Infrastructure that scales without someone babysitting it. We design cloud architecture, wire up CI/CD, and write infrastructure as code so environments are reproducible, not remembered.

  • AWS / GCP architecture & cost review
  • CI/CD pipeline setup
  • Infrastructure as code
  • Container orchestration
  • Observability & alerting
Typical stack
AWSGCPTerraform DockerKubernetesGitHub Actions
MODULE 03

AI & Automation

LLM-backed features and internal tooling grounded in your real data, not a demo dataset. We scope for reliability first, novelty second.

  • Use-case scoping & feasibility
  • Retrieval & RAG pipelines
  • Workflow automation
  • Model evaluation & guardrails
  • Human-in-the-loop review tooling
Typical stack
PythonClaude APIVector DBs LangChainAirflow
MODULE 04

Interface Design

Interfaces engineers can build and users don't have to think about. We design in the medium we ship in, so nothing gets lost in translation from file to product.

  • UX research & user flows
  • Design systems
  • High-fidelity UI
  • Interactive prototypes
  • Accessibility review
Typical stack
FigmaTailwind CSSshadcn/ui Storybook
MODULE 05

Data Platforms

Pipelines, warehouses, and dashboards that turn logs into decisions, not just charts nobody opens.

  • Data pipeline design
  • Warehouse modeling
  • ETL / ELT implementation
  • Dashboarding & reporting
  • Data quality monitoring
Typical stack
PythondbtSnowflake BigQueryAirflowLooker
MODULE 06

DevOps Services

We don't just create strategies; we show the numbers. Growth means higher conversions, lower costs, and stronger brands. Discover how we help brands grow smarter

  • Continuous Integration & Continuous Deployment (CI/CD)
  • Containerization & Orchestration
  • Infrastructure as Code (IaC)
  • Security Integration (DevSecOps)
  • Configuration Management & Automation
Typical stack
GitlabJenKinsKubernetes GitHubAWS
MODULE 07

API and CRM Integration Services

We specialize in creating custom API integrations with leading CRM platforms to ensure your business has a unified and efficient communication strategy.

  • Seamless Data Synchronization
  • Streamlined Customer Interaction
  • Automated Workflows
  • Enhanced Reporting & Analytics
  • CRM with E-Commerce Integrations
  • Third-Party App Integrations
Typical Integrations
SalesforcequickbaseHubSpot FreeAgentpipedrive
MODULE 08

Ongoing Support

Monitoring, on-call, and iteration after launch. Most of what breaks in production shows up in month two, not week one — we're still there for it.

  • Uptime & error monitoring
  • On-call rotation
  • Monthly iteration cycles
  • Performance tuning
  • Security patching
Typical stack
DatadogSentryPagerDuty GitHubTerraform
// ENGAGEMENT

Three ways to work with us.

Pick the shape that matches the problem — all three draw from the same six modules.

Best for a single deliverable

Fixed Scope

A defined deliverable, a defined price, and a defined date. Best for a single product or feature with clear edges.

Best for ongoing roadmaps

Embedded Team

Our engineers join your sprints as an extension of your team, working inside your process and tools.

Best for post-launch care

Retainer

A monthly block of hours for support, iteration, and small builds after your product is already live.

FAQ

Questions we get before a kickoff call.

Most product builds run 8–16 weeks from discovery to launch, split into two-week cycles. Infrastructure and data engagements vary more, depending on what's already in place. We'll give you a real range after discovery, not before.

Yes — that's what the embedded team model is for. Our engineers join your existing sprints, standups, and tools rather than running a separate process alongside yours.

We start with a short codebase and architecture audit, then scope forward from what's actually there rather than assuming a clean slate.

Yes, as standard practice before discovery begins — before we see any of your product, data, or roadmap.

Yes. Most engagements start with one or two modules — often Product Engineering plus Cloud & Infrastructure — and add Data or AI later once the core product is stable.

NEXT

Ready to scope module 01?

Send a short brief and we'll reply within one business day with next steps, or a straight answer if we're not the right fit.

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