Our Mission
Every lead answered, qualified, and booked, on a system that compounds with scale.
What is RevDesk?
Frontier models are becoming a utility. They get cheaper every quarter and your competitors buy the same ones you do, which means the model was never going to be the advantage. The advantage is the machinery around it: remembering what a customer said, knowing when to press and when to leave someone alone, and staying accountable to an outcome somebody will actually pay for.
Most AI companies bill for tokens. That pays them when the system talks longer, not when it finishes the job. It is the same incentive that taught ad-funded software to optimize for time spent. We would rather be paid when the appointment is kept and the deal is closed.
See RevDesk in Action
50 second product overview
Our Mission
by Cell Labs, Inc.
The Problem
Every lead has a moment when they're ready to talk. Most businesses miss it, not because their people are bad at selling, but because nobody can be everywhere at once.
of leads never convert to customers
more likely to qualify in first 5 minutes
spent on sales labor annually in the US
A form comes in at 11pm. By morning it’s cold.
No team can track the right moment for thousands of prospects, so everyone gets the same cadence.
Being there at the right moment, thousands of times at once, is an architecture problem.
The Product
Cover the funnel end to end, with shared memory. A lead sourced today is the same customer re-engaged next year.
Answers every call, chat, and form 24/7. Qualifies against your criteria and books meetings.
Call and text every new lead within minutes, before a competitor opens a CRM.
Coach reps live on every call, and connect them the instant a human answers.
Works consented prospect lists with DNC-scrubbed, and multi-touch follow-up.
Post-job follow-up, review requests, referrals, and reschedule handled.
Wins back dormant customers, rebooks no-shows, and runs service-due outreach.
The Team
RevDesk is built by Cell Labs, Inc. We keep the team small and let the agents do the scaling.
Board of Directors
The System
Not fewer salespeople. Salespeople who only take conversations that matter, with prospects who are warm, qualified, and ready.
There's a fashionable split in AI right now: assistants that make one person faster, and autonomous agents built to replace the person entirely. Revenue teams need neither, exactly. They need something that works the list alone at 2am, hands the live one to a closer at the right moment, and coaches that closer while the call is still happening.
One goal, shared between the software and the person. Almost nobody is building for that, because it requires being good at both.
01
Respond instantly, on every channel, and record what each buyer actually said.
02
Outreach tuned to each person. Timing, channel, and message shaped by what has worked.
03
Qualify, handle objections, and book the meeting. Or hand off to a human with full context.
04
Every call teaches the system. The businesses that start first pull ahead.
The Technology
Anyone can demo a chatbot with a phone number. Making it sound human on a real call, at scale, without getting flagged as spam, is infrastructure. That's where we've spent our time.
Voice-to-voice
Most tools transcribe, prompt an LLM, and read the reply back. We run one real-time model that hears tone and answers in the moment.
~0.4s to answer
The model runs next to the carrier, so answers land in under half a second. Natural turn-taking, no dead air.
Tier-1 carriers
Branded caller ID, STIR/SHAKEN attestation, and DNC enforcement at the network layer, across 14+ countries.
Traction
Live across automotive, healthcare, legal, B2B SaaS, home services, and logistics.
per qualified lead across 12,000 outbound conversations.
Business-lending campaign
of clinicians automating patient communications.
Practice-intelligence platform
speed-to-lead on every web lead, day or night.
Every deployment
per minute of AI voice
per minute human-connected
cost per booked meeting
from signup to production
