AI development company for San Francisco SaaS, AI startups & healthtech.

There is no Bay Area office to point to — Aiinfox runs out of Mohali, India and Frisco, Texas. Pacific business-hours coverage comes from Frisco's US-Hours rotation: a late-CT shift puts senior engineers on Zoom for your full 9am-to-6pm PT day, and Mohali's early-IST start takes over for SF afternoons. On-site work — kickoff days, milestone reviews, security walk-throughs — happens on a scheduled trip to SF rather than through a permanently staffed local office billed at Bay Area rates.

Yes, but only because we planned the shift deliberately rather than assuming it would just work out. Frisco, TX sits on Central Time, two hours ahead of Pacific, so our standard 9am-to-5pm CT day only overlaps your morning. SF engagements run on a separate US-Hours rotation instead — a late-CT shift, roughly 11am-to-8pm CT, that fully covers your 9am-to-6pm PT day on Zoom. That is what keeps twice-weekly demos inside PT business hours, async updates landing ahead of your SF standup, and the same senior engineer on the kickoff call through launch. The one honest exception: if your engagement truly needs boots on the ground in the Bay Area at all hours, we will say so on the first call and point you to a local consultancy instead.

Yes. Our engagement defaults are aligned with the California Consumer Privacy Act and the California Privacy Rights Act amendments. DPAs are signed before any personal information is shared; data-subject rights workflows (access, deletion, correction, opt-out of sale or sharing) are mapped at scope; audit logs on every model and tool call are exportable for a California Privacy Protection Agency inquiry. For SF clients with operations in multi-state SaaS, we map the CCPA + CPRA controls in parallel with NY SHIELD, NY DFS Part 500 where financial services apply, and the Colorado / Virginia / Connecticut state privacy obligations — one audit-log schema, multiple regulator-facing exports.

You call the region. AWS US-West-2 (Oregon) is the SF default — lowest-latency west-coast region with full AWS service coverage — and US-West-1 (N. California) is the second option when a customer wants California-only residency. We will run inside your AWS, Azure, or GCP account in whichever US region you name. Claude (Anthropic) and GPT-4o (Azure OpenAI) route to US-West endpoints explicitly; AI-first startups with strict no-third-party-API positioning get Llama 3 self-hosted on vLLM inside their VPC instead, with zero data egress to non-customer endpoints. Your DPA spells out the exact data path.

Yes. We work with MSA-plus-SOW structures for ongoing engagements and single-document fixed-price agreements for pilots. Standard terms cover IP assignment (your code, your IP), limitation of liability tuned to scope, indemnification, data handling, breach notification, and a 30-day production warranty. NDAs are mutual and signed before any technical detail is shared. BAAs are signed before any PHI is shared. We are a registered Indian entity (Aiinfox Pvt. Ltd.) invoicing US clients in USD via wire transfer as a foreign corporation — no W-9 or 1099 entanglement on your side.

Yes — takeover audits happen often enough that we have a fixed process. First we read: the code, the data pipelines, any eval results that exist, the prompts, and the cost telemetry. Second we ship — the smallest valuable change that proves we actually understand the system, not a re-pitch of what is already broken. Third we recommend a direction, honestly, on the first call: incremental stabilization, a parallel rewrite, or shutting it down. Most Bay Area takeovers we have seen did not need the full-rewrite option — what they were missing was evals, guardrails, observability, and a senior engineer who stayed on past the discovery-phase pitch.

SoMa, Mission, Mid-Market, and Peninsula AI consultancies commonly bill $400 to $700 an hour, run discovery phases that stretch for months, and either stack junior hours behind a senior nameplate or lose their best engineers to a foundation-model lab partway through. Aiinfox's senior engineering rate sits roughly 50 to 70 percent below that range. Our commercial model is fixed-price and six weeks: the senior engineer on your kickoff call is still writing code at launch, and any overrun on our side is absorbed by us, not billed to you. Total cost for most SF engagements lands 60 to 75 percent below the Bay Area baseline, with the senior engineer in the room for every standup.

A working v1 in production six weeks after kickoff, with evals, guardrails, observability, and audit logs wired in from week one — not retrofitted after launch. For SF SaaS scale-ups, success is typically a shipped AI feature embedded in the product that moves a customer metric and survives security review at enterprise buyers. For AI-first startups, success is a fine-tuned model or RAG pipeline that clears a custom eval bar at production latency and cost. For SF healthtech, success is a BAA-covered RAG or ambient scribe with zero policy-violating answers in 90 days of production traffic. We measure against your acceptance criteria, written into scope before kickoff.