AI Agent Development Company

An AI agent development company designs, builds, and operates custom AI agents: software that takes in information, makes a decision, and carries out multi-step action inside a business's own systems, rather than only answering questions the way a chatbot does. The commercial distinction is that a chatbot stops at the reply, while an agent writes to a CRM, books a calendar slot, or places a phone call. Evolvv AI is a US-based AI agent development company in Brooklyn, New York. We build three types. Voice agents place and answer real calls. Workflow agents own a business process end to end. Multi-agent systems chain several specialized agents into one pipeline. Our published builds include OraFacePass, an enterprise voice agent handling 250,000 calls a day, and Quantum, a multi-agent business-development system for a development finance broker in Australia. We build on Claude, Retell, n8n, HubSpot, Clay, Apify, and Phantombuster, and deliver into production rather than as a prototype.

A chatbot answers messages inside one conversation window. An AI agent takes action across systems: it reads a document, checks a CRM, scores a lead, runs an outreach step, books a real calendar slot, and reports back, without a human triggering each stage. The engineering difference is state and permissions. A chatbot only needs the current thread. An agent needs authenticated write access to live business systems, a way to decide what to do next, and a defined stopping point where it hands off to a person. Defining that stopping point is a core part of the build, because an agent that acts confidently on a bad input is worse than no agent. Quantum, a multi-agent system Evolvv AI built for a development finance broker in Australia, is a working example: it works from property-development data, scores each lead with Claude, files the record in HubSpot, and runs a five-touch outreach sequence. A chatbot could describe that process. An agent performs it.

Evolvv AI builds three kinds of AI agents, plus AI-powered SaaS products where the agent is the product. Voice agents place and answer real phone calls, qualify callers, and book appointments. OraFacePass is ours: an enterprise voice system handling 250,000 calls a day, with CRM-to-calendar booking, spam and scam call detection, an inbound agent, and a product chatbot. Workflow agents run a whole business process without a person driving each step. Flowstate does this for healthcare clinics, fetching new appointments into the clinic calendar, pulling patient reports and emailing them out, classifying inquiries as urgent or non-urgent with a Slack alert and an automatic email reply, and running OCR on incoming documents before routing the extracted text to a trained model for suggestions. Multi-agent systems hand work between several agents, each owning one stage; Quantum, built for a development finance broker in Australia, is our reference build. Knock, an AI roleplay and sales-coaching platform for summer sales, is the SaaS tier.

Evolvv AI builds primarily on Claude for reasoning and scoring, Retell for voice, n8n for workflow orchestration, HubSpot as the CRM layer, and Clay, Apify, and Phantombuster for data enrichment and outreach. Each tool has a specific job. Claude handles the judgment calls: reading a lead, a document, or a transcript and deciding what it means. Retell handles the real-time speech loop, where latency budgets are measured in milliseconds and a pause in the wrong place is enough to make a call sound wrong. n8n holds the workflow together and makes retries and failures visible instead of silent, which matters more than it sounds when an agent runs unattended. HubSpot is where the result has to land, because an agent that decides something and writes it nowhere is useless. We pick the stack to fit the job rather than forcing every client onto one platform, and we integrate into the tools a client already runs rather than asking them to migrate.

Yes. Eight live AI voice agents run on the Evolvv AI homepage right now: Issac (AI Appointment Setter), Noah (AI Customer Support), Ethan (AI Sales Closer), John (AI Onboarding Guide), Olivia (AI Lead Qualifier), Sarah (AI Survey Agent), Emma (AI Retention Specialist), and Leo (AI Receptionist). Click one and talk to it in your browser right now. There is no form, no download, and no sales call first. The calls run through our own serverless endpoint on evolvvai.com rather than a third-party demo widget, so what you hear is our build. We put them in the open deliberately. Voice is the hardest part of agent work to judge from a written description, because what actually matters is how the agent handles an interruption, a silence, an unclear answer, and a question nobody scripted. Each of the eight is built for a different job, so start with the one closest to your use case. For workflow and multi-agent work, our case studies cover Quantum, OraFacePass, Flowstate, and Knock.

Yes. Integration into your existing stack is standard at Evolvv AI, not an add-on. Our agents are wired directly into the tools you already run: HubSpot and other CRMs, calendars, phone lines, email, Slack, and internal document stores. They do not sit in a separate dashboard someone has to remember to open. This is a deliberate design rule. An agent that reaches a good decision but cannot write it into the system of record has only created a second place to look, which is usually the problem you were trying to remove. Every build we publish is a production integration into a live business stack. OraFacePass runs CRM-to-calendar booking. Flowstate fetches appointments into a clinic calendar, emails patient reports out, and fires Slack alerts on urgent inquiries. Quantum files scored leads into HubSpot and enriches them through Clay, with Apify handling data sourcing and Phantombuster handling outreach. We map your systems and their access paths during discovery, before any code is written.

Evolvv AI does not publish a flat rate for custom AI agent development, because the number is set by scope rather than by a price list. Four things drive the number. First, how many agents you need and whether they have to coordinate with each other: one voice agent is a different build from a chained multi-agent pipeline. Second, how many systems have to be connected, and whether those systems have clean APIs or need workarounds. Third, whether voice is involved, since live telephony carries its own infrastructure and ongoing call-volume costs. Fourth, how much data enrichment the workflow requires, since enrichment tools are typically billed by usage rather than a flat seat price. Model and platform consumption is an ongoing running cost and should be budgeted separately from the build itself. We would rather scope your actual workflow on a 30-minute call and give you a real number than publish a headline figure that is wrong for your case.

Evolvv AI does not quote a standard build time up front, because the timeline depends on your systems as much as ours. A single voice agent wired into one CRM is a smaller job than a multi-agent system like Quantum, which touches several data sources, a scoring step, a CRM, and a five-touch outreach sequence. Three things set the pace. Access: how quickly we receive API credentials and a test environment for your CRM, calendar, and phone system. Until those exist, nothing can be wired into your systems, and that step sits on your side rather than ours. Decision clarity: rules a person currently applies by instinct have to be written down explicitly before an agent can apply them consistently. Testing: agents that touch real customers run in staging or shadow mode against real calls, documents, or leads before go-live, and we do not compress that step. We give you a realistic timeline on the scoping call.

Yes. Evolvv AI is a US company headquartered in Brooklyn, New York, with a named leadership team: Abdullah, CEO and Co-Founder; Hasan, CTO and Co-Founder; Ron, COO and Head of Global Partnerships; John, CPO and Automation Lead; and Emma, Head of Marketing. You can reach us on +1 914 369 5427 or at info@evolvvai.com. We state it plainly because it is a fair question to ask, and because the answer should be checkable rather than asserted. Time-zone overlap means you can get a person on a call during your business hours instead of waiting overnight for a reply. Being in the same market also matters for the work itself: outbound calling practice, customer-data handling, and CRM integrations all carry US-specific operational considerations that are easier to get right from inside the market. Our case studies, our stack, and our live voice agents are all published at evolvvai.com, so you can check rather than take our word.