“Implementing their AI agents completely transformed our customer support pipeline. Hands down the best tech integration we’ve done this year.”
Sarah Jenkins
CEO at NexaFlow
Evolvv AI designs and builds AI voice agents and workflow automation for San Francisco businesses, from early-stage startups to established SaaS teams. Try any of our 8 live voice agents right now, in your browser, before you talk to us.
Book a 30-minute callAn AI agency builds and manages the AI systems that run parts of your business, instead of just advising on them. That is the real difference between us and a strategy consultant. We design, build, and maintain the software, then hand you something that works from day one.
Two things sit at the center of that work. An AI voice agent is a program that answers or makes phone calls, understands what the caller says, and takes the right next step, whether that is booking an appointment, answering a question, or routing the call to a person. Workflow automation is software that takes a repetitive, multi-step task your team does by hand, like moving a new lead from a form into your CRM and scheduling a follow-up, and runs it automatically every time.
For a San Francisco company, that usually means fitting into tools you already use. San Francisco has one of the densest concentrations of SaaS, startup, and venture-funded technology companies in the country, so most businesses we talk to already run on a stack of connected software. Our job is to add the AI layer on top of that stack, not replace it. We build with Claude, Retell, n8n, HubSpot, Clay, Apify, Phantombuster, Twilio, Airtable, LangChain, and LangGraph, and we connect to whatever you already run.
We are not based in San Francisco. Evolvv AI operates out of Brooklyn, New York, and St. Petersburg, Florida, and we work with clients across the country the way most specialist software vendors do: remotely, over video calls, shared documents, and a project tracker you have access to from day one. Distance has not been a real obstacle for any client we have worked with so far.
The time zone gap is small and manageable. We run on Eastern Time, San Francisco runs on Pacific Time, a three-hour difference. In practice that gives us a solid block of overlapping business hours each day, and we schedule kickoff calls and check-ins to sit inside that window by default rather than asking you to work around us.
Engagements start with a scoping call to map what actually needs to be automated or built, followed by a written plan before any code gets written. Every build comes with documentation: what was built, how it connects to your existing tools, who has admin access, and how to hand it off internally if your team ever needs to take it in-house. We would rather you understand the system we hand you than depend on us to explain it forever.
Custom voice agents that answer or place calls, understand callers in natural language, and take action, from booking appointments to screening spam and scam calls.
We connect your CRM, forms, calendars, and internal tools so leads, documents, and follow-ups move automatically, without your team touching the same task twice.
We design and build agents that reason through multi-step tasks, pull data from your systems, and complete work end to end instead of just answering questions.
We build custom software products with AI features built in from the start, not bolted on later, for teams that need something no off-the-shelf tool covers.
We build fast, accessible websites and web apps that are structured so both people and AI search engines like Google and ChatGPT can read and understand them.
We advise on which parts of your operation are worth automating first, what tools to use, and what to leave alone, based on your actual workload.
San Francisco runs on software. It has one of the highest concentrations of SaaS companies, startups, and venture-funded technology firms in the country, and that shapes what we get asked to build here. Founders and product teams tend to want an AI layer that fits into an existing stack, not a system that forces them to rebuild everything around it.
Our closest match to that kind of work is OraFacePass, an enterprise voice agent we built that now handles 250,000 calls a day, including CRM-to-calendar booking, spam and scam call detection, and an inbound product support agent. It is the clearest example we have of AI voice infrastructure built for enterprise scale rather than a small pilot.
We also build workflow automation and internal tooling for product and operations teams who need something specific connected correctly, rather than a generic off-the-shelf integration. If your business already runs on SaaS tools, that is the environment we are used to working inside.
An AI voice agent is software that handles a phone call the way a trained employee would, but automatically. It listens to what the caller says, understands the intent behind it using a language model, and responds in natural speech, in real time, without a scripted phone tree.
A voice agent can answer inbound calls, make outbound calls, book or reschedule appointments directly into a calendar, answer common questions using a business's own information, detect and filter spam or scam calls before they reach a person, and hand a call to a human when the situation needs one.
The technology behind it combines speech recognition, a language model such as Claude for understanding and reasoning, and a voice platform such as Retell for the phone infrastructure itself. Evolvv AI has built voice agents that operate at meaningful scale, including one enterprise deployment now handling 250,000 calls a day. You can test working examples of this technology directly in a browser, without downloading anything or speaking to a salesperson first.
We work with businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. There is no San Francisco office, and we would rather say so than imply one.
Serving businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. See all locations
No. Evolvv AI is based in Brooklyn, New York, with a registered office in St. Petersburg, Florida. We do not have a physical location in San Francisco, and we would rather tell you that plainly than imply local premises we do not have. What we do have is a remote delivery process built for exactly this situation: a kickoff call, written notes on what we build, and work shown in stages rather than handed over in one go at the end. Many of the specialist software and AI teams that San Francisco companies already work with operate the same way, because the market for this kind of talent is not confined to one city or one zip code. If proximity matters to you for a specific reason, tell us early and we will be honest about whether remote delivery genuinely fits your situation.
We do not publish fixed prices, because the honest answer depends entirely on what you need built. A single voice agent that handles one task, like booking appointments, is a smaller build than a multi-agent system that also updates your CRM, files reports, and routes escalations to your team. The way to get a real number is a scoping call: we ask what problem you are trying to solve, what tools you already use, and what a successful outcome looks like, then we come back with a proposal that matches that scope specifically. We would rather quote you accurately once than publish a range that turns out to be wrong for your project. If you want a quick, honest read on whether your idea is realistic before committing to a call, describe it to us by email and we will tell you plainly whether it is something we can build, and roughly what kind of project it would be.
Specific to your stack. Most of the work we do connects directly into tools a business already runs, rather than replacing them with something new. Our stack includes Claude for reasoning and language understanding, Retell for voice infrastructure, n8n for workflow automation, HubSpot and Airtable for CRM and data, Clay, Apify, and Phantombuster for data enrichment and outreach research, Twilio for calling and messaging infrastructure, and LangChain and LangGraph when a project needs custom multi-step agent logic. We pick the combination that fits what you already have, rather than pushing one platform on every client regardless of fit. Before we start building, we look at what you run today, your CRM, your calendar, your support inbox, and design the automation or agent to sit inside that setup. The goal is always a system your own team can operate afterward, not a black box that only we understand.
Other industries too. A large share of the San Francisco businesses we talk to are software and SaaS companies, but our client work spans further than that. We have built healthcare clinic automation covering appointment booking, patient intake reports, inquiry triage, and document handling for a clinic called Flowstate, a multi-agent lead pipeline for a development finance broker in Australia called Quantum, and an AI roleplay and coaching platform for sales teams called Knock. What connects all of it is the same underlying skill: finding a repetitive or high-volume process and building software that runs it reliably. If your business has a specific bottleneck, whether that is call volume, lead follow-up, document processing, or something else entirely, tell us what it is and we will tell you honestly whether it is something we can solve well, rather than trying to fit every problem into the same template.
Yes. Every voice agent we build opens by saying plainly that the caller is speaking with an AI, and that opening line is a reviewable setting rather than something buried in the model’s behaviour. We are a software and AI development agency, not a law firm: we do not advise on what any particular rule requires of your business and we hold no certifications. Tell us what the opening has to say and we will set it to say exactly that.
Let’s put AI to work in your business. Start the conversation and see how far we can go, together.
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