# Software development in San Francisco, CA

> The Bay Area's software industry, from SoMa's AI labs down the 101 to San Jose, needs no introduction, and much of its AI work is now maintenance. If you built a system quickly and now have to make it durable, governed and affordable, that's the work we do here.

Canonical: https://www.techfabric.com/custom-software-development-san-francisco
Serving: San Francisco, Oakland, San Jose, Palo Alto, Berkeley, Mountain View
Headquarters: 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295. No office in San Francisco.

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## Why San Francisco work is our work

The system your startup shipped in a quarter now runs the business, every change takes longer because the people who wrote it have moved on, and you can't hire fast enough. Our senior engineers read what's there, keep what works and make the rest safe to change, so the roadmap moves again without a rewrite. In San Francisco that's a SoMa AI company's platform, a fintech's ledger, or a Mission Bay biotech's lab system.

## Dynamics 365 consultants in San Francisco

Bay Area companies past their startup accounting stack, such as San Jose hardware makers, Emeryville food brands and Montgomery Street services firms, move to Dynamics 365 Business Central for inventory, multi-entity finance and revenue recognition. We implement it with Dynamics 365 CRM and connect both to the product and billing tools they already use.

[Dynamics 365 consulting in Phoenix](https://www.techfabric.com/dynamics-365-consulting-phoenix) · [Power BI consulting in Phoenix](https://www.techfabric.com/power-bi-consulting-phoenix)

## Work a buyer here would recognise

Canvass is a production Cloudflare application for account research and campaign review. Campaign preparation, approval and delivery states are kept distinct, and per-tenant isolation is enforced in the data layer, which is the study to read if your own system now has to show who approved what.

## The bill arrives before the governance does

A lot of San Francisco's AI systems went from demo to production inside a quarter, on a per-token model API and a vector database nobody budgeted. The bill shows up first. Then an enterprise customer's procurement team wants an audit trail, and from January 2027 the California Privacy Protection Agency's 2025 rules on automated decision-making technology will give consumers notice and opt-out rights when such a system makes a significant decision about them.

## Questions

### We built this fast and now the model bill is a problem.

That is the most common brief we get here. Model spend, retrieval infrastructure and the human review a system still needs get instrumented, and then the architecture questions become answerable. Usually the fix is durability and caching rather than a different model.

### Do you have an office in San Francisco?

The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build.

## What software development covers

### Web applications

Applications built to be changed safely years after the original team has moved on. That means tests that mean something, seams where the business logic can move, and a deployment nobody is afraid of.

### Mobile applications

iOS and Android, built as products rather than as ports. The maintenance story is decided at the start, while it is still cheap.

### APIs and integration

The seams between systems, done once and properly. Most of the expensive failures we are called into are integration failures wearing another name.

### Data platforms

The layer underneath the application, on Databricks, Azure, AWS or Google Cloud. If the reporting and the application disagree, the platform is the reason.

### Modernisation of what exists

Often the work arrives as something already built that has become hard to change. We would rather read it and tell you honestly whether it is worth keeping than sell a rewrite you may not need.

### Durable, auditable workflows

Processes that take days, call several systems and must never half-complete. Getting that right is a different discipline from getting a request handler right, and it is where we spend most of our time.

## Working with us from Arizona

Arizona does not observe daylight saving, so from March to November we are on the same clock as you and from November to March we are an hour ahead. Either way the working day overlaps almost completely.

Most delivery is remote or hybrid. We travel for discovery, workshops and the opening weeks of a build.
