Questions, answered the way we'd answer them on a call.
No hedging, no "it depends" without the part it depends on. If your question isn't here, bring it to the call.
Yes. An AI voice agent picks up every call in seconds, day and night, qualifies the caller, books appointments into your real calendar, and logs the full transcript into your CRM. It works on the phone number you already have, in English and Spanish. For most service businesses, the calls that come in after 6pm are the ones currently going to voicemail and then to a competitor.
Every engagement is quoted as a fixed scope after a discovery call, not billed by the hour. The price depends on what the system has to do and what it has to connect to. What stays constant: before we build anything, we agree on the business number the system has to move, and the quote is tied to delivering it.
A focused system, like a voice agent or a single automated workflow, typically ships in weeks. Larger custom software takes longer and is broken into stages so you see working pieces early. You get a concrete timeline in the proposal, not an estimate that doubles later.
No. Thallon systems plug into your existing stack: HubSpot, GoHighLevel, Shopify, Stripe, QuickBooks, Google Calendar, WhatsApp, Slack, and most tools with an API. The goal is to connect and automate what you already run, not to migrate you onto something new.
Your data stays yours. It is used to run your system, not to train public models. Access is scoped to what each system needs, and before launch we walk you through exactly where every piece of data lives and who can touch it.
No. The agents we ship hold natural conversations, handle interruptions, and adjust to how the caller speaks. The agent identifies itself as an assistant, and in practice callers care about one thing: whether their problem got handled. The metric we track is booked jobs, not how human it sounded.
It says so and hands off. Every system we build works from your actual business information and has explicit boundaries. Outside those boundaries, a voice agent transfers to a human with context or captures a complete message. A knowledge system says "I don't have that" instead of inventing an answer.
Against a number agreed before the build starts: calls answered, jobs booked, hours saved, carts recovered, response time. Every system ships with measurement built in and reports on itself in production. If we can't move the number, we don't ship the system.
We engineer the architecture, not just the prompt. Every system runs on infrastructure we build and control: data pipelines, integrations, guardrails, monitoring. The team is a senior software engineer with 10+ years in production systems and a financial-markets analyst, so engagements are scoped around a measurable outcome, not a demo.
Our deepest experience is with aesthetic and dental clinics, retail and ecommerce, and HVAC and home services across the US. The common thread is operators with high call volume, repeatable workflows, and revenue that leaks when a lead waits. If that sounds like your operation, the industry label matters less.
A 30-minute working session: we map where your operation leaks revenue and what a system to catch it looks like.