‍Redefining how enterprises connect conversations to outcomes

Traditional conversational intelligence tools record what customers say but not what it means. They capture meetings in isolation, leaving behind the larger story: what stage the customer is in, what they’ve bought, what is their adoption, and whether they’re at risk of churn.

Today, MaxIQ changes that story with the launch of EchoIQ, the first Conversational Intelligence engine built on complete revenue context and the first to abandon per-seat licensing in favor of usage-based pricing.

The announcement follows a breakout year for MaxIQ, which reports 10× user growth and 400% revenue expansion, driven by enterprises seeking one connected system of intelligence that unites pre-sales and post-sales across the customer journey. Companies like Snowflake, Commvault, and VAST Data now rely on MaxIQ’s AI-native platform to connect every touchpoint from first demo to renewal into a single, adaptive system that forecasts, acts, and learns.

EchoIQ builds on the success of InspectIQ and ForecastIQ, MaxIQ’s first AI engines that reimagined deal inspection and forecasting. With EchoIQ, MaxIQ takes the next step toward a fully unified Revenue Journey Platform. The upcoming SuccessIQ module will complete the lifecycle by connecting post-sales adoption and growth. Together, these Agentic AI engines replace static CRM dashboards with an adaptive system that learns from every interaction and acts across the entire customer journey.

Beyond Traditional Conversation Intelligence

When a customer mentions pricing concerns in a call, most CI tools flag it as a keyword. EchoIQ sees the bigger picture:

• The contract renews in 45 days
  
• Product usage dropped 40% last month
  
• The original champion just left the company
  
• Three similar accounts churned last quarter
  
  

“That’s the difference between conversational intelligence and revenue intelligence,” said Sonny Aulakh, Founder of MaxIQ. “Traditional CI tells you what was said. EchoIQ tells you what it means for your number and what to do about it.”

Built on MaxIQ’s Revenue Journey Context architecture, EchoIQ moves beyond analysis into autonomous action:

• Auto-updates CRM data based on real conversation signals
  
• Predicts deal risk by connecting what’s said to what’s happening
  
• Triggers workflows when words and actions don’t align
  
• Adjusts forecasts in real time during pipeline reviews
  
  

Early adopters like Cetu and Diamanti report up to 20% improvements in forecast accuracy and eight hours per rep per week reclaimed from manual CRM updates.

The Revenue Context Architecture

Where legacy CI tools analyze isolated transcripts, EchoIQ unifies conversational, behavioral, and revenue data into one intelligent layer.

It connects:

• Customer conversations: meetings, emails, internal threads
  
• Behavioral signals: product usage, engagement, support
  
• Revenue data: contracts, consumption, renewals, expansion
  
• Historical context: patterns that predict risk or success
  
  

“The CRM was supposed to be the system of record,” said Matt Hickey, CEO of MaxIQ. “But data now lives everywhere — Slack, email, product analytics, support. Revenue context means connecting all those signals so your AI knows the full story and can act on it. That’s the evolution from conversational intelligence to revenue intelligence.”

Disrupting the Economics of CI

MaxIQ is also redefining how enterprises pay for insight. Instead of charging per seat, EchoIQ uses a usage-based model where customers pay only for conversations captured and intelligence delivered.

“The traditional CI pricing model is broken,” Aulakh said. “You’re paying for potential conversations, not actual intelligence. We flipped that: you pay only for outcomes.”

The result: adoption rates above 95%, compared to the industry’s typical 60 to 70%. “When sales ops leaders aren’t defending a six-figure budget for seats half the team ignores, adoption becomes a non-issue,” Hickey added. “That’s how enterprise software should work in 2025.”

The Next Chapter of the Revenue Journey

EchoIQ joins InspectIQ and ForecastIQ as part of MaxIQ’s unified platform, each powered by Agentic AI. Together, these engines automate deal inspection, forecasting, and customer engagement, replacing static CRM dashboards with a system that learns and acts across the entire customer journey.

The upcoming SuccessIQ module will extend this intelligence into post-sales adoption and expansion, completing the Revenue Journey Platform and giving enterprises one connected view from first conversation to renewal.

“In the post-AI economy, value is earned every day,” Aulakh said. “Our mission is simple: help companies deliver on what they sell and prove it through measurable outcomes.”

Read the full announcement here->