Expertise, installed.
We turn decades of sales and marketing execution into AI-run systems inside your business — human judgment on every output, at a price the agency model can’t touch.
Stop hiring. Start deploying.
“Most AI initiatives fail because they treat AI as a tool instead of a system.”
// Every consequential output is reviewed by an experienced operator before it ships
Named systems, each purpose-built.
The combination that’s missing from the market.
Revory productizes execution expertise. AI is how we deliver it — faster, more consistently, and at a price that used to be impossible.
An AI build firm without sales and marketing expertise ships generic outputs. A marketing agency without AI capability ships at agency speed. A SaaS tool ships neither — it gives you the tool and walks away.
Sales expertise
Operators who've actually run pipeline at growth-stage companies. Our agents reflect what works in real outreach — not what looks good in a demo.
Marketing expertise
SEO, content, lifecycle, and demand-gen specialists who've built engines from zero. The agents we build inherit their playbooks, not vendor templates.
AI systems engineering
The technical layer: building, deploying, and monitoring custom AI agents inside production stacks. Frontier models tuned to your data and workflows.
Built for your business.
We build the agents on your tools, your data, your voice. You don’t log into our SaaS. We own the work and ship the outcomes.
We did the job before the AI.
We ran the agencies and the sales floors first. We’re not engineers pretending to understand revenue — we do the work the old agency stack did, at a fraction of the cost.
You don’t have an AI problem.
You have a systems problem.
Most teams adopting AI today are buying disconnected tools and hoping they’ll cohere. They don’t. The result is generic outputs, fragmented workflows, and the same operational ceiling — just with a higher software bill.
Tools, not systems
ChatGPT, Jasper, Copilot — point tools that solve narrow tasks. None of them know your data, your customers, or your workflows. So the output is generic and you do the integration work yourself.
Generic outputs
Off-the-shelf models trained on the open internet write content that sounds like the open internet. Your competitors get the same outputs. The work needs heavy editing before it ships — if it ships at all.
No accountability
When your AI tool produces a hallucinated stat or sends an off-brand email, who owns the fix? With most AI tools, no one. They run autonomously until they don't, and there's no human in the loop.
Stop buying tools.
Start installing systems.
// The tools approach
A subscription pile that never coheres.
- 14 disconnected SaaS tools — yours to integrate
- Generic models trained on the open internet
- Your team operates them — you absorb the labor
- Output quality varies wildly, no QA layer
- Tools age out and you start over
// The Revory approach
A workforce that ships outcomes.
- One integrated system — built for your business
- Models trained on your data, voice, and customers
- Revory operates the system — you get outputs
- Human review on every consequential action
- Continuously improved as your business evolves
Your data goes in.
Your workforce comes out.
Every Revory deployment follows the same four-step methodology — adapted to your industry, your data, and your team. Your first agent ships within two weeks of signature.
Map your operation
5-day sprint with your team. We document data, workflows, tools, and identify the highest-leverage agent deployments.
Build on your data
Retrieval pipelines, brand voice fine-tuning, and integration with your CRM, CMS, and analytics. No generic templates.
Install the workforce
Agents go live one by one with phased rollouts. Each ships with QA processes and clear human-in-the-loop checkpoints.
Operate & iterate
We monitor every output, retrain weekly on what works, and add capacity as your business scales. You see everything in your portal.
9 agents. One office. Click to meet your team.
Everything you’ve heard about AI in business — and what we do about it.
We’ve heard every concern. Most of them are legitimate. Here’s what we actually do — operationally, technically, contractually — to address each one.
“AI tools are generic. Their output sounds nothing like our brand.”
Trained on your data. Tuned to your voice.
Generic AI fails because it’s trained on the open internet. Our agents are different: we ingest your past content, sales calls, customer interviews, brand guidelines, and product docs. The model that ships your content has read every word your team has ever published — and learns your voice the way a senior writer would.
“AI hallucinates. We can't have it sending wrong information to customers.”
Retrieval-grounded outputs. Human in the loop on consequential actions.
Hallucinations happen when models invent facts they don’t have. We solve this two ways. Technically: agents are grounded in your verified data via retrieval, not asked to recall from training. Operationally: our team reviews every consequential output — outbound emails, customer-facing content, anything with risk — before it ships.
“We can't pump our customer data through random AI tools.”
Your data stays in your stack. Period.
Most AI tools route your data to third parties for training. We don’t. Our agents run on enterprise model endpoints with zero data retention. Your data is processed in transit, never used to train external models, and stays inside the boundaries you already have with Anthropic, OpenAI, and your own systems.
“AI doesn't understand my business. It's writing for the wrong audience.”
We start with humans understanding your business — first.
Before any agent gets deployed, our team runs a 5-day audit. We sit with your sales team, read your sales calls, study your win/loss data, talk to your customers. That context becomes the foundation the agents are built on. The AI is the last step, not the first.
“Every time I've tried to replace a human with AI, the work got worse.”
We don't replace humans. We replace busywork.
We’re not selling robot employees. We’re removing the bottom 60% of repetitive work — the SEO research, the lead enrichment, the social scheduling, the first-draft emails — so your humans can do higher-leverage work. Every agent we ship has a human counterpart who reviews and improves the output.
How we compare to the three other paths.
Most teams considering AI evaluate three options: an off-the-shelf tool, an in-house build, or a traditional agency. Here’s where each falls short — and where Revory fits.
The math.
Three ways to buy the same sales and marketing execution. Here’s what each one costs to run for a year.
Illustrative — based on published market rates and Revory list pricing, not client data.
Your first agent ships within 14 days of signature.
Contractual, not aspirational.
Your workforce, visible.
Every Revory client gets a real-time portal showing their AI workforce in operation. This is the live demo environment — book a call and we’ll walk you through it.
Three tiers. Custom-built.
Cancel after 90 days.
You’re not buying software. You’re buying a system that we design, deploy, and operate. Pricing reflects that — and it still costs less than the agency stack you’d otherwise patch together.
- Web Agent
- SEO Agent
- Social Agent
- Real-time portal access
- Weekly performance reports
- Slack support channel
- CRM + Lead Gen + Automation
- Sales + Analytics + Data
- Everything in Foundation
- CRM Agent
- Lead Gen Agent
- Automation Agent
- Bi-weekly strategy reviews
- Priority support & iteration
- Custom-built agents
- Dedicated systems engineer
- Everything in Growth
- Data Agent
- Analytics Agent
- Sales Agent
- 3 custom-built agents
- Weekly strategy calls
- Dedicated systems engineer
- Quarterly business reviews
Things people actually ask.
Don’t see your question? Book a 30-min call and ask us directly.
Stop buying tools.
Start installing systems.
30-minute call. We’ll review your stack, identify the agents that would create the most leverage, and walk you through what deployment would look like. No pitch deck.