Custom Software Development Company in San Francisco, CA

Much less than the founder's list. A first version exists to answer one question: will the people we think have this problem use, and pay for, this solution? Everything that does not help answer it is a cost, in money and in weeks of runway.

We begin with a short discovery in which the idea is reduced to a single path a user takes from arriving to getting value. That path is designed as a clickable prototype and put in front of five to ten real prospects. Their confusion and their indifference are the cheapest lessons a company will ever buy.

What remains is built properly but narrowly. Things that can be done by hand at first, such as onboarding a customer or producing a report, are done by hand until there are enough customers to justify automating them. Our guide to planning an MVP sets out the method.

By being careful about a few things and relaxed about the rest. Some decisions are cheap to change later: the look of a screen, the wording of an email, the order of a form. Others are expensive: how data is modeled, how customers and their users are separated, how authentication works, how money is recorded.

We spend our care on the second group. The data model is designed for the business as it will be in two years, not two weeks. Each customer's data is isolated from the first commit. Sign-in uses an established identity service. Every change to financial records is logged. Tests cover the paths where a mistake would cost a customer.

Everywhere else we use what already exists: hosted services for email, files, search and background jobs, and a standard component library for the interface. The stack is mainstream, usually TypeScript, React and Next.js with PostgreSQL, so the first engineers you hire will already know it.

A set of features no customer asks for and every customer expects. An organization signs up, invites colleagues and assigns them roles. An owner manages billing. Someone leaves and must be removed. A larger customer wants single sign-on. Support needs to see what a customer sees without knowing their password.

Then come the operational pieces: plans and limits, upgrades and downgrades with correct proration, invoices and receipts, failed payment handling, usage metering if pricing depends on it, an admin console for your own team, audit logs and data export.

None of this distinguishes your product, and getting it wrong causes most early support tickets. We have a well-worn approach to each, which lets the project's attention go to what is actually new. Larger customers will send a security questionnaire, and a product built this way can answer it.

By building on regulated providers and keeping sensitive data out of your systems. San Francisco is a center for financial technology, and many products here take payments, hold balances, pay out to sellers or connect to bank accounts.

For card payments we use a processor's hosted fields so that card numbers never touch your servers, which keeps your obligations under the card industry's security standard as small as possible. Subscriptions, invoicing and tax are handled through the processor's billing tools. Marketplaces use its connected-account features for onboarding and paying sellers. Bank connections go through an established aggregator.

Regulation is the part founders underestimate. Moving or holding customer funds can require money transmitter licenses or a partnership with a licensed institution, and lending, investing and insurance have their own regimes. We build the software. The licensing strategy, compliance program and legal advice are yours to arrange, and they should be settled before the architecture is, because they shape it.

By treating them as engineering, not magic. Many companies here are building on large language models, and the gap between an impressive demonstration and a dependable product is where most of the work lies.

We define the task narrowly and write an evaluation set of real examples with expected results before building. Every change to a prompt, a model or the retrieval step is measured against it, so improvements are known and regressions are caught. Answers that depend on your data are grounded in it through retrieval, with sources shown to the user.

Cost and speed are designed in: the smallest model that passes the evaluation, caching, streaming and limits per customer. We use providers under terms that do not train on your data and document what is sent where. Where an output affects a person's money, health or job, a human reviews it. Your counsel should consider how California privacy rules on automated decisions apply.

Ownership, hygiene and the absence of surprises. In a funding round or an acquisition, a technical reviewer examines the codebase and the paperwork around it. Problems found then are expensive and badly timed.

On ownership, they check that everyone who wrote code assigned their rights to the company. Our agreement assigns all intellectual property to you on payment, and the code is written in your repository under your organization from the start. On licensing, they scan for open-source components whose terms conflict with a commercial product. We track dependencies and avoid problematic licenses.

On quality, they look for tests, documentation, sensible structure, secrets kept out of the repository and a deployment anyone can repeat. On security, they ask how customer data is separated and who has access. Building with these questions in mind costs little. Retrofitting the answers during diligence costs a great deal.

As extra capacity on work that can be cleanly separated. A startup with three engineers cannot build the core product, the admin console, the integrations customers ask for and the billing changes the pricing experiment needs. Hiring is slow and uses up runway.

We take defined pieces: an integration with a customer's system, an internal tool, a reporting module, a migration. Your lead engineer reviews our pull requests, and we follow your conventions, testing standards and deployment process. We work with accounts you issue and data you approve, and access ends when the work does.

The time difference is useful here. A ticket written clearly at the end of your day is often a pull request by morning. It depends on written specifications, which is a discipline worth having in any case. If the product includes a phone app, see our mobile app development in San Francisco page.

Tools that fit how they already work. The city's law firms, investment firms, architects, nonprofits, schools and restaurant groups are not software companies, but they run on processes that packaged products only partly cover.

Typical projects are client portals for sharing documents and status securely, intake and matter or case tracking, grant and donor reporting for nonprofits, scheduling and inventory across locations for restaurant groups, and dashboards that pull figures from accounting, payroll and point of sale into one view.

We recommend buying where a product fits and building only the missing piece, connected to the systems already in use. Personal information is handled with California privacy law in mind: collected sparingly, access controlled, and able to be exported or deleted on request. The public-facing side is covered on our web design for San Francisco page.

It starts with a paid discovery of one to three weeks, depending on size, which produces a specification, a prototype and an estimate that are yours to keep. Development then runs in two-week sprints, each ending with a demonstration of working software on a staging environment.

We work in your tracker, chat and repository. Calls are held between 8 am and 9 am or 5 pm and 7 pm Pacific, giving a handoff at each end of your day. We sign a non-disclosure agreement before seeing anything confidential.

We are based in Pune, India, and have no San Francisco office, and we do not handle export-controlled data or work that must be done in the United States. How we contract with American clients is on our software development for US companies page, and our other services are on the San Francisco overview.