Gong’s Mission Andromeda: A New Era for Revenue Intelligence

In a bold move that signals the future of sales technology, Gong, the leader in revenue intelligence, has launched Mission Andromeda — its most ambitious platform release to date. This comprehensive update bundles cutting-edge AI-powered coaching tools, a sales-focused chatbot, unified account management features, and groundbreaking interoperability with rival AI systems through the Model Context Protocol (MCP).

The Dawn of a New Revenue Intelligence Era

Mission Andromeda arrives at a critical juncture in the revenue technology landscape. The market is consolidating at an unprecedented pace, and Gong — still a private company with roughly $300 million in annual recurring revenue — finds itself at the epicenter of a category that Gartner only formally defined three months ago.

“The whole show, Andromeda, is basically a collection of very significant capabilities that take us a huge step forward,” Eilon Reshef, Gong’s co-founder and chief product officer, told VentureBeat in an exclusive interview. “We’re not just surfacing insights anymore — we’re fundamentally changing how revenue teams work.”

Breaking Down Mission Andromeda’s Core Components

Gong Enable: Taking on the Sales Enablement Giants

The crown jewel of Mission Andromeda is Gong Enable, a brand-new product with its own pricing tier (in the “tens of dollars per seat per month,” according to Reshef). This moves Gong directly into competition with the newly merged Highspot-Seismic behemoth and other sales enablement platforms.

Gong Enable features three revolutionary components:

AI Call Reviewer analyzes completed customer calls and grades reps based on their organization’s own methodology. Unlike real-time coaching tools, this post-call analysis provides comprehensive feedback on entire conversations, recognizing that a single minute of excellence doesn’t define a successful sales call.

AI Trainer allows reps to practice high-stakes conversations — pricing objections, renewal risk scenarios — against AI-generated simulations built from the company’s own winning call patterns. This isn’t generic role-play; it’s training based on your actual successful interactions.

Initiative Tracking links coaching programs to revenue metrics, enabling leaders to see whether new behaviors actually show up in live deals. This closes the loop between training investment and business impact.

Gong Assistant: Your AI Sales Copilot

The launch also introduces Gong Assistant, a conversational AI chatbot purpose-built for revenue teams. Unlike generic AI assistants, Gong Assistant understands the nuances of sales conversations and can answer questions about customer calls directly within the platform.

Account Console and Account Boards: Unified Customer Intelligence

These new features unify customer activity, risk signals, and next steps into a single view for sales and post-sales teams. This eliminates the fragmented experience that plagues many organizations, where customer information is scattered across multiple systems.

Model Context Protocol: Breaking Down AI Silos

Perhaps the most strategically significant piece of Mission Andromeda is Gong’s built-in support for the Model Context Protocol (MCP), the open standard originally developed by Anthropic. This enables Gong to exchange data with AI systems from Microsoft, Salesforce, HubSpot, and others, creating a more interconnected AI ecosystem.

The Pragmatic Approach to AI Models

In a market where every company wants to claim proprietary AI supremacy, Gong takes a notably pragmatic approach. The company uses both internal models and foundation models from external providers, with Reshef noting that “four out of the five leading AI companies, LLM, are basically Gong customers.”

“Based on the product or task at hand, we pick the right model,” Reshef explained. “We would sometimes swap in and out a model if we feel it’s best for our customers and they get more and more power.” This task-specific approach contrasts with competitors that have hitched their wagon to a single AI provider.

Privacy and Data Governance: A Decade of Experience

Recording every sales conversation raises obvious questions about privacy and data governance. Gong, with over a decade of experience in this space, has developed comprehensive capabilities for data collection, management, permissions, retention policies, and right to be forgotten.

On the sensitive question of whether Gong trains its AI on customer data across accounts, Reshef drew a firm boundary: “The majority of the training happens based on each customer’s data.” He pointed to large accounts like Cisco, which has 20,000 Gong users — enough data to train the AI Trainer from within their own environment.

Cross-customer training, he said, happens “only in very, very rare cases, very safe based — like transcription. But we don’t do it for business-specific processes.”

MCP Security: The Elephant in the Room

Gong’s support for MCP is strategically significant, but Reshef didn’t sugarcoat its limitations. “MCP is very immature when it comes to security,” he told VentureBeat. The protocol lets enterprise AI systems share data and context, but trust remains the enterprise’s responsibility.

Gong offers a two-sided model: it can pull data from partners like Zendesk through certified integrations, and simultaneously makes its own MCP server available so that tools like Microsoft Copilot can query Gong’s data. “It’s up to the company which connections they actually feel are secure enough,” Reshef said.

Early Results and Market Positioning

Existing Gong customers report roughly a 50 percent reduction in sales rep ramp time and 10 to 15 percent improvements in win rates. However, Reshef was candid about the newest features: “The trainer has been in the market for literally, you know, days, a week. I would probably lie to you if I said, ‘Hey, we’re already seeing people crushing it after taking three or four courses.'”

Morningstar, one of Gong’s early adopters, offered a pre-launch endorsement, saying Gong Enable helped the firm “spend less time on status updates and more time on the work that actually moves deals.”

The Human in the Loop: Resisting the Autonomous Agent Hype

One of the more interesting threads in Reshef’s remarks concerned his view of AI autonomy — or rather, its limits. He pushed back on what he called a “common misperception about AI” — that it operates completely autonomously.

“There has to be a person in the middle, which I call operator,” he said. “It could be RevOps. It could be enablement. In the case of training, it could be analysts. Sometimes it could be even business leaders.” These operators are responsible for a “repeatable process of AI doing something, measuring the AI” and adjusting over time.

This philosophy extends to the AI Call Reviewer’s feedback. Gong doesn’t dictate what the system trains on — enablement leaders choose. “We don’t decide what they want to train on. We let them choose,” Reshef said.

The Consolidation Wave: Gong’s Competitive Landscape

Mission Andromeda doesn’t exist in a vacuum. The revenue AI landscape has been reshaped by a remarkable wave of consolidation over the past six months.

In a category-defining move, Clari and Salesloft merged in December 2025 to form what they called a “Revenue AI powerhouse,” combining roughly $450 million in ARR under new CEO Steve Cox. Just two weeks ago, Highspot and Seismic signed a definitive agreement to merge, creating a combined entity worth more than $6 billion focused on AI-powered sales enablement — the very same territory Gong is now invading with Enable.

Meanwhile, Gong was named a Leader in the inaugural 2025 Gartner Magic Quadrant for Revenue Action Orchestration, published in December. The company placed highest among the 12 vendors evaluated on both the “Ability to Execute” and “Completeness of Vision” axes.

The IPO Question and Market Valuation

Any discussion of Gong’s trajectory inevitably raises the question of a public offering. When asked directly, Reshef declined to comment: “I wouldn’t comment on IPO at this stage. No.”

The company has been on a clear growth arc, raising approximately $584 million to date, with its last official funding round valuing it at $7.25 billion. However, that valuation has since slipped. As Calcalist reported in November 2025, Gong is conducting a secondary round for company employees and investors at a valuation of roughly $4.5 billion — well below its 2021 peak.

The 50% Productivity Target: Gong’s North Star

Reshef’s most revealing comment came when he laid out the company’s long-term thesis: Gong aims to increase productivity for revenue professionals by 50 percent. “We’re not there yet,” he admitted. “I think we’re like at 20 to 30 — whatever, hard to measure.”

He broke the productivity gain into two categories. The first is making high-complexity human tasks — like conducting a live Zoom sales call — better, through coaching, training, and review. “I think there’s going to be a long while, if ever, that Zoom conversations are going to get replaced by bots,” he said. The second is automating the manual drudgery: call preparation, post-meeting summaries, follow-up emails, account research briefs.

The Road Ahead

Gong currently serves more than 5,000 companies worldwide. The Clari-Salesloft merger has produced a rival with deeper combined resources. The Highspot-Seismic combination is assembling a sales enablement colossus. And a new Gartner category means every enterprise buyer now has a framework for comparison shopping.

The next twelve months will test whether Mission Andromeda is the release that cements Gong’s position at the center of the revenue AI category — or the last big swing before the consolidated giants close in.

“Our mission is to be at the forefront,” Reshef said. “If everybody else is doing 20 percent, we’re going to do 50. If everybody is going to do 50, we’re going to do 80.”

In the revenue AI wars, that kind of confidence is easy to project. Delivering on it, with brand-new products still days old and a market being remade around you in real time, is something else entirely.

Tags: Gong, Mission Andromeda, revenue intelligence, sales enablement, AI coaching, Model Context Protocol, MCP, sales technology, Gong Enable, AI Trainer, AI Call Reviewer, Gong Assistant, account management, sales productivity, enterprise AI, revenue operations, Gong IPO, Gong valuation, Gong funding, Gong competitors, Clari, Salesloft, Highspot, Seismic, Gartner, revenue AI

Viral Phrases: “The whole show, Andromeda, is basically a collection of very significant capabilities” “We’re not just surfacing insights anymore — we’re fundamentally changing how revenue teams work” “If everybody else is doing 20 percent, we’re going to do 50” “MCP is very immature when it comes to security” “There has to be a person in the middle, which I call operator” “We don’t decide what they want to train on. We let them choose” “Our mission is to be at the forefront”

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