AI-Native Revenue Intelligence Platform

Know who is ready to buy before they tell you.

RevenueOS continuously analyzes market, company, technology, engagement, and business signals to identify accounts entering active buying cycles — then recommends and executes the next best revenue action.

https://app.revenueos.infralyticatech.com/radar LIVE MARKET FEED
ACME Corp
SaaS • 740 Employees
94/100
30–60 Day Buying Window
✓ VP of Security hired 6 days ago
✓ Cloud infrastructure expanded +45%
✓ 4 Security Engineer positions opened
AI Recommendation: Contact VP Security today with cloud security migration playbook.
TechCorp Inc
Fintech • 1,200 Employees
86/100
Active Evaluation
✓ Competitor comparison activity detected
✓ Series C funding ($45M) closed
✓ High intent on pricing calculator
AI Recommendation: Initiate competitive evaluation campaign targeting Director of RevOps.
GlobalSoft
Enterprise Software • 3,400 Employees
77/100
Emerging Opportunity
✓ Rapid tech stack migration
✓ 12 New Sales Engineering roles
✓ Executive keynotes on compliance
AI Recommendation: Share technical case study with CTO before Q3 budget lock.
The Sales Intelligence Gap

Sales teams have more data than intelligence.

Modern B2B sales organizations have access to millions of data points. But information alone does not tell your team who to focus on today, why now, who to contact, and what action to take next.

The Traditional Prospecting Approach

Static databases organized by: Company → Contact → Email → Activity

  • ❌ Treats 10,000 prospects as equally worth pursuing today
  • ❌ Relies on static employee count and industry filters
  • ❌ Ignores real-time organizational and buying condition changes
  • ❌ High volume outreach with low business conversation success

The RevenueOS Paradigm Shift

Continuous market modeling: Company → Signals → Context → Buying Probability → Strategy → Action → Outcome

  • ✅ Continuously monitors changing buying conditions
  • ✅ Identifies the exact "Why Now?" behind an account
  • ✅ Maps the complete purchasing buying committee
  • ✅ Recommends and executes the optimal next revenue action
From Intelligence to Execution

Discover → Understand → Predict → Act

RevenueOS combines market intelligence, account research, buyer mapping, AI reasoning, and revenue workflow automation into a continuous feedback loop.

1. Detect

Continuously monitors leadership hires, funding, hiring velocity, tech stack changes, content intent, and CRM signals across the market.

2. Understand

Builds structured Account Intelligence Briefs combining business model, tech ecosystem, priorities, pain points, and buying committee members.

3. Predict

Assigns a model-based Buying Probability Score (0–100) and estimates the exact evaluation timing window with supporting evidence.

4. Act

Determines persona targeting, channel, message angle, and automates or approves personalized outreach and CRM updates.

Autonomous AI Architecture

Specialized AI Agents Working in Unison

Rather than a single chatbot, RevenueOS deploys 6 specialized AI agents sharing a unified Buyer Intelligence Graph.

Market Intelligence Agent

Monitors market announcements, funding events, executive hiring, and tech migration events to form buying hypotheses.

Account Research Agent

Compiles rich Account Intelligence Briefs detailing tech environment, strategic pain points, and current priorities.

Buyer Mapping Agent

Identifies economic buyers, business champions, technical evaluators, and influencers within target organizations.

Outreach Strategist

Determines optimal messaging angles, timing, channel sequencing, and personalization evidence for maximum response rate.

AI Conversation Agent

Handles prospect replies contextually—addressing objections (e.g. "We use Salesforce") by presenting complementary value.

Revenue Strategist

Evaluates active opportunity pipelines daily to rank and recommend the top 3 high-impact actions for revenue teams.

Try RevenueOS Live

See Account Intelligence in Action

Enter any company name or domain below to simulate the RevenueOS signal detection and intelligence engine.

RevenueOS Signal Engine Sandbox

Stripe

Fintech & Payments • 8,000+
Probability:
94 / 100
15–30 Days (Active Buying Window)
Detected Intent Signals:
  • ✓ Hired VP of Global Security Strategy 4 days ago
  • ✓ Opened 18 Senior Security & Data Engineering roles
  • ✓ Expanded AWS multi-region compliance infrastructure
Why Now?

Stripe's aggressive enterprise expansion combined with recent executive security hires indicates an immediate need for automated revenue security & compliance mapping.

Recommended Persona: VP of Enterprise Infrastructure
Action: Initiate technical evaluation sequence
0
X Higher Qualified Response Rate
0
% Accuracy in Buying Window Prediction
0
% Reduction in Manual Account Research
0
X Increase in Pipeline Velocity
Frequently Asked Questions

Everything You Need to Know

Have questions about RevenueOS? Here are the answers to common questions about our platform and methodology.

Traditional databases provide static contact details based on simple employee count or industry filters. RevenueOS continuously models changing buying conditions—tracking executive hires, funding, tech changes, hiring patterns, and intent signals to answer why an account is ready to buy now.
RevenueOS ingests public business announcements, corporate websites, job postings, funding news, technology telemetry signals, first-party website engagement, and CRM historical records through tenant-isolated APIs.
Yes. RevenueOS operates on a "Controlled Automation" model. Customer-defined policies enforce channel restrictions, message sending limits, persona exclusions, and human-in-the-loop approval workflows before any action is taken.
Yes, RevenueOS provides native bi-directional integrations for Salesforce, HubSpot, Microsoft Dynamics, as well as email providers and communication platforms.

Know what to do next.

Revenue teams shouldn't have to guess which accounts deserve attention. RevenueOS turns changing market signals into prioritized revenue opportunities.