ENTERPRISE SOLUTIONS

How We Partner

Embedded engineering teams that integrate with your infrastructure, processes, and technical standards.

Partnership Philosophy

We don't deliver black-box solutions. We work alongside your engineering teams, contributing to your codebase, following your practices, and transferring knowledge throughout.

Our goal isn't perpetual consulting. It's to build systems your team can own, extend, and maintain after we've moved on.

That means code reviews, pair programming, documentation, and training—not just delivery of artifacts.

Engagement Models

1

Embedded Engineering Team

Our engineers work within your development workflows: attend standups, submit pull requests, participate in architecture reviews, use your issue trackers.

Best For

Organizations with existing engineering teams who need AI infrastructure expertise

2

Technical Co‑Development

Joint ownership of architecture and implementation. Your team handles domain logic and integration, we handle AI orchestration and reliability infrastructure.

Best For

Complex systems where domain expertise and AI infrastructure must tightly integrate

3

Build‑and‑Transfer

We build the initial system, deploy it to your infrastructure, and train your team to operate and extend it. Includes documentation and ongoing support period.

Best For

Well-scoped projects where you need a working system quickly and plan to own it long-term

4

Architecture Advisory

Ongoing architectural guidance without hands-on implementation. Review designs, recommend patterns, troubleshoot production issues, evaluate vendor tools.

Best For

Strong engineering teams who need periodic guidance on AI system design

How We Work

Your Infrastructure, Your Standards

We deploy to your cloud accounts, use your CI/CD pipelines, follow your security policies, and integrate with your observability stack. No vendor lock-in.

Code in Your Repositories

Everything we build lives in your Git repositories from day one. You own the code, the documentation, and the deployment configuration.

Transparent Communication

We use your communication tools (Slack, Teams, Jira). Weekly sync meetings, async updates, and documented decisions. No hidden work streams.

Knowledge Transfer Throughout

Not just at the end. Pair programming sessions, architecture walkthroughs, and design documentation happen continuously as we build.

Pragmatic Iteration

We ship incrementally. Early versions may have limited scope, but they're production-ready. No big-bang launches after months of invisible work.

What We Expect from Partners

Successful partnerships require commitment from both sides. We work best with organizations that:

  • •Have engineering capacity to integrate, operate, and eventually own the systems we build
  • •Can articulate constraints around compliance, performance, and integration requirements
  • •Provide access to domain expertise so we understand business logic and edge cases
  • •Support iterative deployment rather than waiting for a perfect system before going live
  • •Value long-term maintainability over short-term feature velocity

Typical Engagement Duration

Most engagements run 3–6 months for initial system delivery, with optional ongoing support or feature extension phases.

Typical Timeline

  • Weeks 1–2:Discovery, requirements refinement, architecture design
  • Weeks 3–8:Core system development, incremental deployment to staging
  • Weeks 9–12:Production deployment, observability integration, performance tuning
  • Weeks 13–16:Feature refinement, team training, documentation finalization
  • Ongoing:Optional support, new feature development, or architectural advisory