Software development · San Francisco, CA
Software development for San Francisco companies
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.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
San Francisco, Oakland, San Jose, Palo Alto
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.
AzureTechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.
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.
App development in San Francisco
Much of the app work in the Bay Area is now taking over an app that a SoMa or South Bay startup built quickly and making it durable and affordable. We read what exists first and tell you plainly what is worth keeping.
Mobile app developmentDynamics 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.
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.
Switching to a cheaper model is the reflex, and it buys a month. The spend usually comes from the system's shape, with prompts that resend the whole context on every step, retries that restart an agent and no cache in front of retrieval. We'd fix durability and caching before touching the model, and record cost per request in the same trace an auditor will later read.
Measurement comes first. Every model call gets a trace carrying its cost, its inputs and the user it served, your existing evals run against it or we write the first twenty, and the spend gets ranked by workflow. Changes then go in order of money saved, and the trace stays on as the record a reviewer reads.
Clients we have done this for
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.
Agentic GTM
Canvass
An application on Cloudflare that researches accounts and prepares outbound campaigns for Canvass's clients, where one bad email costs a prospect. A person approves every send, a run that dies halfway can't message a contact twice, and each email is checked again the moment it goes out.
How an engagement runs
01
A technical conversation
Not a sales call. An engineer, asking what you are trying to do, what has been tried and what it will actually take. Where the work needs them, product and design people join the same conversation.
02
Two weeks, fixed fee
A short assessment ending in a written plan with a scope, a sequence and a number. You own the document whether or not you carry on with us.
03
Build with your team in the repo
Senior throughout, and no pyramid with one architect over a floor of juniors. The person in your standup is the person writing the code.
04
Run it
We stay on the pager. Nobody designs a fragile thing they will personally be woken by, which is most of why this arrangement produces different software.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around San Francisco
QCon on the Embarcadero
QCon San Francisco, InfoQ's conference for senior developers and architects, comes to the Hyatt Regency on the Embarcadero each autumn, with two training days after it. PyBay, the Bay Area Python Association's regional conference, meets at the Mission Bay Conference Center in the fall, and GDG San Francisco holds monthly meetups at venues that change from one event to the next, besides co-hosting DevFest Bay Area.
If what you have was built fast and has become hard to change, the sound default is to keep it running and replace it a piece at a time. A proposal that goes straight to a rewrite should explain why yours is the exception, and it should say what happens to the users in the meantime. We start by reading the code you have.
The San Francisco-Oakland-Fremont metro area. California: Alameda, Contra Costa, Marin, San Francisco and San Mateo counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Conference · Annual, usually in the fall
PyBay
PyBay's talks span security and data science as well as development, which suits a team inheriting a Python service it didn't write.
Bay Area Python Association. Mission Bay Conference Center, San Francisco.
User group · Monthly
GDG San Francisco
Monthly meetups on Android, web and AI make GDG San Francisco a low-cost way to sound out engineers before a hiring push.
Google Developer Groups volunteers. San Francisco, venues vary.
Conference · 29 June to 1 July 2027
AI Engineer World's Fair 2027
Built for the engineers and founders shipping AI products, it shows how teams shape the software around a model from the first design.
AI Engineer. Moscone West, SoMa.
Conference · 16 to 18 November 2026, training 19 to 20 November
QCon San Francisco
QCon's talks at the Hyatt Regency on the Embarcadero are aimed at senior engineers and architects, and its two training days suit a lead deciding how a system should be built before hiring anyone to build it.
InfoQ. Hyatt Regency San Francisco, Embarcadero.
More in San Francisco (1)
- AI Engineer Code Summit
A three-day conference for developers on coding agents, development tools and production workflows. Attendance is by application.
10 to 12 November 2026. San Francisco, venue announced to registrants.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
Software development in San Francisco: common questions
Do you work with San Francisco companies?
Yes, and with companies across the United States. 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.
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.
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.
What kinds of custom software do you build?
Web applications, mobile applications, APIs and the data platforms underneath them. The work we do best is the sort that has to be governed and auditable, where a wrong write is expensive and somebody has to be able to explain afterwards what changed and why.
Do you take over an existing codebase?
Often, yes. A good part of 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 you a rewrite you may not need.
Where to go deeper
Web application development
Applications that hold up on the thousandth day
Mobile application development
iOS and Android, built to be maintained
Ecommerce development
The storefront and the ERP behind it
APIs and integration
The seams between systems, done once
Published work
Named clients and checkable outcomes
Also in San Francisco
What else we build for San Francisco companies.
AI consulting and development in San Francisco
Startups in SoMa and Mission Bay shipped AI early, and many now run an agent that loses context on deploy, retrieval nobody can audit and a model bill nobody forecast, with no engineers spare to fix it.
Databricks consulting in San Francisco
Your Snowflake bill, a vector database and a model spend nobody forecast all landed in one quarter, and finance wants to know which to cut.
Software development elsewhere
The same work, in other metros. The full list is here.
New York, NY
New York, Brooklyn, Queens
Boston, MA
Boston, Cambridge, Somerville
Atlanta, GA
Atlanta, Alpharetta, Marietta
Miami, FL
Miami, Fort Lauderdale, Coral Gables
Charlotte, NC
Charlotte, Concord, Gastonia
Philadelphia, PA
Philadelphia, King of Prussia, Wilmington
Detroit, MI
Detroit, Ann Arbor, Dearborn
Tampa, FL
Tampa, St. Petersburg, Clearwater
Chicago, IL
Chicago, Naperville, Evanston
Phoenix · Dallas · Houston · Austin · Nashville · Minneapolis · Denver · Salt Lake City · Los Angeles · Seattle · San Diego · Washington · Orlando · Raleigh · Portland