Trusted by companies across the USA
Port-adjacent logistics, biotech, and retail businesses get working React builds in days, not weeks.
For your Alameda business.
Trusted by companies across the USA
A small maritime logistics company based out of the Port of Oakland corridor needed a web portal that could track container dwell times and surface exceptions for their ops team. They had a spreadsheet workflow, a junior developer who had already spent four months on a prototype that never shipped, and a board meeting in six weeks. We scoped the project over two calls, reviewed what their developer had built, and delivered a working Next.js portal with real-time REST API feeds from their terminal software in 23 days. That kind of timeline is not typical for most agencies. It is typical for us because our developers use AI-assisted tooling at every stage: generating boilerplate TypeScript interfaces from API schemas, writing test suites against component logic, and catching type errors before a single line goes to code review. The result is less time spent on repetitive scaffolding and more time on the parts of your project that actually need human judgment.
Alameda has an unusual mix of businesses for a city its size. You have defense and aerospace contractors tied to the former Naval Air Station, a growing number of cannabis operators managing complex compliance workflows, craft breweries that need direct-to-consumer e-commerce built right, and professional services firms that have outgrown their off-the-shelf CRMs. What these businesses share is that they need software that fits their actual workflow, not the other way around. When we build with React and Redux for stateful dashboards or with Next.js for customer-facing storefronts, we are making decisions based on what your data flow looks like, not what framework happens to be trending.
Our team is based in Gandhinagar, India, which means we are actively building while your office is closed. You share requirements at the end of your workday, and by the time you open your laptop the next morning, there is a diff to review. We overlap with US Pacific hours for morning standups and use Slack and Loom for async updates that keep nothing buried in a long email thread. You own every line of code from day one, and we sign NDAs before any work begins. We have been running this model since 2015 across clients in more than 20 countries, and the communication rhythm is one of the things clients most consistently say works better than they expected.
One thing worth saying plainly: AI tooling does not write your product for you. What it does is eliminate the low-value work that slows every development engagement. A TypeScript interface that used to take an afternoon to draft from a poorly documented API gets done in 20 minutes. That time goes back into solving the actual hard problems, whether that is an edge case in your compliance logic or a performance bottleneck in a Redux store that is holding 40,000 rows of inventory data. Faster delivery and better quality are not in tension here. They come from the same source.
AI-assisted scaffolding cuts the setup phase from weeks to days. You see a functional prototype before most agencies finish their proposal.
Automated test generation and type-checking run in parallel with development, so each two-week sprint ships more tested, production-ready components than a non-AI workflow would.
TypeScript strict mode combined with AI-assisted linting catches logic errors at the component level before they compound. Most clients see their QA cycle shrink by roughly a third on the second sprint.
Because repetitive work is accelerated, you are not paying developer hours for boilerplate. The budget goes toward architecture decisions and features that differentiate your product.
AI-powered developer, 40 hours/week.
Same developer, 20 hours/week.
Pay for hours worked.
We spend the first few days reviewing your existing system, sitting with your actual workflow over a screen share, and documenting what success looks like in measurable terms before any code is planned.
We use AI tooling to generate draft TypeScript interfaces, map REST API contracts, and identify component boundaries early, so the architecture decision is made on evidence, not assumptions.
Development runs in two-week sprints. AI handles scaffolding and test generation; our developers handle logic, state management, and anything that requires judgment about your specific use case.
Every component is reviewed by a senior developer against your documented requirements. Automated checks catch type and regression issues; human review catches the things automation misses.
We deploy to your environment, monitor for errors in the first 72 hours, and roll the first round of feedback directly into the next sprint rather than treating launch as the finish line.
Share your project requirements with us and we will walk you through how an AI-powered React developer would approach your specific workflow, with a realistic timeline attached.
For your Alameda, California business.