About
About Code and Trust
We build AI implementations and custom software for enterprise operations teams and tech founders — and we've done it from Mt Pleasant, SC and Washington, DC since 2018.
What is Code and Trust?
Code and Trust is a custom software and AI implementation firm founded in 2018. We help enterprise operations teams reduce manual process costs by 30–60% and build AI-native products for tech founders — delivering production-ready systems in 8–16 weeks from a fixed-price contract.
We're not a staff-augmentation shop. We're not a consulting firm that recommends tools and hands you a 40-slide deck. We build the thing — the AI pipeline, the workflow automation, the legacy modernization, the SaaS product — and we ship it.
Every engagement begins with a structured workflow audit. Before we write a line of code, we map your operations against current AI capabilities and identify exactly where automation creates compounding returns. Then we scope the build around those findings — not around what's exciting to build.
How Code and Trust started
Code and Trust was founded in 2018 after its founders observed a repeatable pattern: enterprise companies were spending $500K+ on software that failed because vendors built to spec without understanding operations. The firm was built around an audit-first model to prevent that outcome.
In 2018, the software world looked different. AI was an academic exercise. Legacy systems were a problem companies planned to fix "next year." Most software agencies took requirements, built exactly what was asked for, and invoiced when it shipped — whether it worked or not.
Code and Trust was built on a different premise: the engineering team that builds your system should also understand your operations deeply enough to know what not to build. The audit-first model was born from that conviction — and it's remained the foundation of every engagement since.
As AI capabilities accelerated through 2022–2025, the same model scaled naturally. Where we once automated workflows with Python and APIs, we now route work through LLM pipelines, build RAG systems over proprietary data, and wire AI decision-making directly into enterprise workflows. The methodology stays the same. The tools keep improving.
Our mission
Code and Trust's mission is to make enterprise-grade AI and custom software accessible to operations teams and founders who want measurable outcomes — not vendor lock-in, bloated scopes, or 18-month timelines. We build it right the first time, and we stand behind it.
Where we work
Code and Trust operates from two offices — Mt Pleasant, SC (Charleston metro) and Washington, DC. We serve clients across the United States, working primarily remote with on-site availability for enterprise engagements in the Southeast and Mid-Atlantic regions.
Mt Pleasant, SC
Charleston Metro · Southeast
Our primary base. Deep roots in the Charleston, SC startup and enterprise ecosystem, with strong relationships across healthcare, manufacturing, and logistics industries in the Southeast.
Washington, DC
Mid-Atlantic · Federal Adjacent
Our DC presence serves government contractors, policy-adjacent SaaS companies, and enterprise clients in the broader Mid-Atlantic corridor.
How we work
Code and Trust operates on four principles: audit first, measurable outcomes, built-to-last architecture, and full transparency. These aren't marketing copy — they're the constraints we impose on every engagement to prevent the project failures we saw as engineers before starting this firm.
Audit First, Build Second
We never write code before understanding your operations. Every engagement starts with a workflow audit that maps where AI creates real leverage — not where it sounds impressive.
Measurable Outcomes Only
Vague efficiency claims don't pay invoices. We set specific, measurable targets before build starts and hold ourselves accountable to hitting them within 90 days of launch.
Built to Last, Not to Demo
We optimize for the 12-month version of your system, not the demo. That means maintainable code, documented APIs, and handoffs your team can own after we're gone.
Trust Through Transparency
Clients see the code, the architecture decisions, and the cost tradeoffs. No black boxes, no proprietary lock-in. If it runs on your infrastructure, you own it.
Work with us
Whether you're a CTO mapping AI adoption or a founder building something new — the first step is the same.