“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
We build AI voice agents, automation, and custom software for Santa Clara companies, working remotely with full Pacific-time overlap. Try any of our 8 live voice agents right now in your browser, no download, no scheduled call needed.
Book a 30-minute callAn AI agency builds and runs the systems that used to require a person doing repetitive work by hand. For a Santa Clara company, that usually means two things. An AI voice agent is software that answers or makes phone calls, understands what the caller says using speech recognition and a language model, and responds in a natural-sounding voice, the way a trained support or sales rep would handle the same call. Workflow automation is software that moves information between the tools you already run, without a person re-entering it, for example pulling a new inbound lead into your CRM, checking it against your existing records, and routing it to the right rep automatically.
Santa Clara sits in the middle of Silicon Valley, home to a dense concentration of semiconductor and enterprise software companies, so most teams here already run on a real tech stack and a technical audience that wants specifics, not marketing language. We do not sell a single packaged product. We design the specific voice agent, automation, or internal tool your team needs, build it on tools like Claude, LangChain, LangGraph, and n8n, and hand it over working, with documentation your own engineers can read and extend.
We are a remote team, based in Brooklyn, New York and St. Petersburg, Florida, with no physical office in Santa Clara. Pacific time is three hours behind our home base, so we structure calls and check-ins around your morning, not ours, and every core working hour still overlaps live. Given how many Santa Clara teams already ship software on tight sprints, we work in a way that should feel familiar: short discovery calls to define scope, staged delivery so you see working output early, and clear handover documentation rather than a mystery black box at the end.
Engagements start by mapping what actually needs to change, which calls or workflows are costing time today, what tools and APIs you already run, and what a working system looks like in 30, 60, or 90 days. We build in stages and share progress as it happens, so your team can react to real output instead of waiting for a single big reveal. When the project is done, you get documentation covering what was built, how it connects into your existing stack, and how your own engineers can modify it later without us. If you already have an internal team, we work directly alongside them so nothing depends on one outside vendor staying involved forever.
Inbound and outbound phone agents that answer calls, qualify leads, and book meetings in a natural voice, built on Retell and tuned to your scripts.
We connect your CRM, ticketing, and internal tools with n8n so leads, tickets, and approvals move automatically instead of being handled manually.
Custom agents built on Claude, LangChain, and LangGraph that handle multi-step reasoning, like scoring accounts or routing technical support tickets.
We design and build software products end to end, from an internal engineering tool to a customer-facing product you can ship.
Fast, clean websites and product pages built to load quickly and convert visitors, wired into the same automations and voice agents you use elsewhere.
We audit your current stack and processes, then recommend what to automate first, what to leave alone, and how to sequence it.
Santa Clara sits in the heart of Silicon Valley, with a dense concentration of semiconductor and enterprise software companies, so most teams here already think in terms of APIs, uptime, and integration, not just marketing copy. Our work reflects that.
Haus AI, an IT company based in Melbourne, Australia, brought us in to build an outbound AI sales voice agent, an inbound AI voice receptionist, and n8n-based social media automation, the kind of stack a Santa Clara software or IT company could adapt for its own go-to-market. Our Knock platform is itself a SaaS product, an AI roleplay and coaching tool for sales training, built the way any product-minded Santa Clara team would expect: a real application, not a demo.
Our OraFacePass build handles 250,000 voice calls a day with CRM-to-calendar booking and spam and scam detection, proof that our voice infrastructure holds up at genuine enterprise scale. Every build is scoped to your actual stack, not retrofitted from a template.
An AI voice agent is software that handles a live phone call the way a trained employee would, without a person on the other end. It answers or places the call, converts speech to text in real time, decides what to say back using a language model, and replies in a natural-sounding synthesized voice.
A capable voice agent can qualify an inbound lead, book a meeting straight onto a calendar, answer routine questions, flag a likely spam or scam call, and escalate to a human the moment a conversation needs one. It runs on software, not a person's schedule, so it answers a call at 11pm on Sunday the same way it does at 10am on Tuesday.
Evolvv AI builds these agents using Retell for the calling layer and Claude for the reasoning, wired into a company's existing calendar and CRM through n8n. Our OraFacePass build runs this at real scale, handling 250,000 calls a day with automated booking and spam and scam detection. It is not a recorded menu tree. It understands language and can act on what it hears.
We work with businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. There is no Santa Clara 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, we do not have an office in Santa Clara, and we will not pretend otherwise to sound local. Evolvv AI is based in Brooklyn, New York, with a registered office in St. Petersburg, Florida, and we serve Santa Clara companies remotely, which is standard practice across software and AI vendors, including plenty of Silicon Valley teams who already work with distributed contractors and agencies. What you get instead of a nearby office is a team that overlaps with your Pacific-time working hours, meets over video call, and hands over documentation your own engineers can read and extend, so nothing depends on someone being physically present in your building. If a project genuinely needs someone on-site, tell us early and we will say plainly whether that is something we can support remotely or not, rather than overselling it.
We do not publish flat pricing, because the honest answer depends entirely on scope. A single voice agent that answers calls and books onto an existing calendar is a much smaller build than a multi-agent system that scores accounts, checks them against your CRM, and routes them by segment, so one number could not honestly describe both. What we can tell you is how we get to a number: a short discovery call to map exactly what you need, followed by a scoped proposal with a fixed cost for that specific build, not an open-ended hourly retainer with no ceiling. That way you know the cost before any work starts, and you are not billed for exploration time. We also tell you plainly if something is a bad fit for us, rather than taking on work we cannot deliver well.
Specific to your stack. Most of what we build connects directly into tools a company already runs, rather than replacing them. Our stack includes Claude for reasoning, Retell for voice infrastructure, n8n for workflow automation, HubSpot and Airtable for CRM and data, Clay, Apify and Phantombuster for data enrichment, Twilio for calling 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 ticketing system, your internal tools, and design the agent to sit inside that setup, with documentation your own engineers can read and extend.
A chatbot, in the usual sense, is text-based: someone types a question into a website widget or app, and it types an answer back. An AI voice agent does a similar job, understanding a request and responding usefully, but over a live phone call, in real time, using a synthesized voice instead of text on a screen. The difference is bigger than it sounds. A phone call gives a caller no time to reread anything, no patience for a slow reply, and an instant instinct to hang up if the voice sounds obviously robotic, so a voice agent needs faster turnaround and more natural-sounding speech than a chat widget ever does. It also has to handle interruptions, background noise, and varied accents cleanly, none of which a text chatbot ever encounters. We build both.
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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