Gong vs new ai-native alternatives (Sybill, Oliv, Momentum): is more AI enough? Oct 31, 2026 Sybill, Oliv and Momentum automate more than Gong in specific places: Sybill writes CRM updates and briefs, Oliv runs agents across deals and forecasts, and Momentum, now part of Salesforce, turns calls into CRM data and workflows. More AI is not enough on its own. What matters is when the AI acts, what context it uses and who sees it. Disclosure: Proshort build Proshort, which takes a different approach and is covered near the end. Gong, Sybill, Oliv and Momentum are described from their own websites and announcements as checked in October 2026. Key takeaways * Momentum is no longer an independent alternative: Salesforce completed its acquisition on March 2, 2026, and Momentum now powers Salesforce Conversation Intelligence. * Sybill and Oliv compete with Gong on automation and price transparency: both publish pricing, and both lean on agents that update the CRM for reps. * Most of this AI still works on transcripts after the call. The rep is on their own while the buyer is talking. * Judge any tool on four questions: when the AI acts, what context it uses, who sees the output, and how its actions are governed. Gong vs Sybill vs Oliv vs Momentum at a glance. What is Gong still best at? Gong describes itself as an AI operating system for revenue teams. It records and transcribes calls, detects topics and sentiment, tracks deals and pipeline, updates the CRM and runs coaching scorecards and embedded AI agents (Gong). Its advantages are maturity and breadth: a long track record, one platform from call analysis to pipeline, and a familiar name in enterprise RFPs. If you need one vendor that procurement already trusts, Gong is the safe default. The trade-offs are a price you cannot see before talking to sales (Gong describes a per-user license plus a platform fee) and value that arrives mostly after the call. What do the AI-native alternatives do differently? Sybill: CRM updates and briefs written for the rep. Sybill calls itself an AI sales assistant for revenue teams. It auto-updates every CRM field after each sales conversation, writes pre-meeting briefs and call summaries, and adds deal inspection, coaching modules, an AI sales agent and an MCP server (Sybill). It publishes pricing, including a free tier. Choose it when the main pain is rep admin. Oliv: agents that run the deal and the forecast. Oliv describes itself as autonomous AI agents for the entire revenue lifecycle, with named agents such as Deal Driver, Forecaster and CRM Manager that fix stale records and close dates (Oliv). Its own blog describes a voice agent with real-time methodology prompts during active calls. Oliv publishes per-user pricing and notes that platform fees are excluded (Oliv pricing). Momentum: now part of Salesforce. Momentum built an AI-native revenue orchestration platform that turns customer conversations into structured CRM data, Slack alerts and agent workflows. Salesforce completed its acquisition on March 2, 2026 (Salesforce), and its conversation product now reads "Conversation Intelligence, powered by Momentum." If you compare Momentum with Gong today, you are really comparing Gong with Salesforce's roadmap. Is "more AI" enough? No. Adding agents and summaries to a transcript makes post-call work faster, but it does not change the moment that decides most deals: the buyer's question, live. "More AI" is a feature count. What changes outcomes is where the AI sits in the sale and what it knows. Use these four questions to cut through any demo: * When does the AI act? Before the call (prep), during the call (help) or after it (notes, CRM, coaching). Most tools in this comparison are strongest after. * What context does it use? A single transcript, or a connected model of your deals, objections, competitors and wins that improves with every call. * Who sees it? Manager dashboards change reports. Output the rep sees on the call changes conversations. * How are actions governed? Agents that write to the CRM need previews, approvals and audit trails. Analysts are asking the same thing. Forrester's Q3 2026 Wave on revenue orchestration named revenue context and agent lifecycle management (governance, oversight and auditability) among its three main findings (Forrester). Why does architecture matter more than features? A transcript-centric tool treats each call as a document: analyze it, tag it, summarize it, move on. Insight lives in dashboards and flat CRM fields. That works for reporting, but every new call starts from zero. A graph-centric tool treats calls as connected evidence. Objections, competitors, decision makers and the answers that won are entities tracked across every deal. The next rep facing the same objection inherits what worked, and AI agents act on structure rather than on loose text. That is the difference between a cheaper recorder and a system that compounds. Where Proshort fits. Proshort is built on that second model. Its contextual graph connects playbooks, calls, objections, competitors and wins and is updated after every call. When the buyer asks, Aria walks the graph in real time and hands the rep a grounded answer with sources, during the call, privately. The buyer sees a normal meeting. The same graph powers the rest: Ask Aria answers questions across every deal and call, AI agents run on every meeting with a preview run before they go live, and CRM updates happen after the rep's OK. You can ask about calls, deals and accounts from the Proshort app in ChatGPT or from Claude (MCP). Pricing is $75 per rep per month, with Aria Live at $3 per call hour on the calls you choose. "For me, this becomes a very overarching sales AI use case where it is not about call recording. It is about using AI to manage and structure my mailbox, my communications tied to a particular deal." Amit Tomer, VP of Strategic Sales, Aviz Networks (read the Aviz Networks case study) Where another tool fits better: if CRM admin is your only pain and budget is tight, Sybill's free tier is a reasonable start. If Salesforce is your whole stack, its Momentum-powered product keeps you with one vendor. How should you evaluate Gong against AI-native tools? * Run a two-week pilot on the same team and the same deals, not separate demos. * Score each tool on the four questions above, with evidence from real calls. * Check what happens to your history: Proshort migrates existing Gong, Chorus or Fireflies recordings during onboarding; ask others the same. * Price the full contract: platform fees, seats for managers and RevOps, and live-call usage. For a wider shortlist, see its 10 Gong alternatives, or its Gong vs Chorus comparison if you are weighing the established players. Frequently asked questions. Is Oliv a good alternative to Gong? Oliv suits teams that want agents to run CRM hygiene, deal follow-through and forecasting, and that value published pricing. Gong is broader and more established. Pilot both on the same deals and check which agent actions your team actually trusts. How does Momentum compare with Gong now that Salesforce owns it? Salesforce completed its acquisition of Momentum on March 2, 2026, and Momentum now powers Salesforce Conversation Intelligence. For Salesforce-first teams it keeps calls and CRM with one vendor; for everyone else, Gong or an independent tool avoids depending on the Salesforce roadmap. What are alternatives to Sybill for call summaries and follow-ups? Proshort drafts the recap in the buyer's own words with action items, owners and the next step, and nothing goes out until the rep reviews and sends it. Gong and Fireflies.ai also write summaries; compare how each handles CRM updates and approvals. Are AI-native tools cheaper than Gong? Sybill, Oliv and Momentum publish pricing, while Gong quotes privately with a per-user license plus a platform fee. Compare total contract cost, including platform fees and add-ons, rather than list prices alone. Do any of these tools help reps during the call? Oliv's blog describes a voice agent with real-time prompts during calls; Gong, Sybill and Momentum focus on before and after. Proshort's Aria Live is built for the live moment, with private, sourced answers that only the rep sees. To see a graph-based assistant on a live call, book a Proshort walkthrough or read how Aria Live works.

Agentect opens private beta and waitlist for its real-time sales coaching platform. On-device AI coaches reps during calls and automates notes, follow-ups, and CRM updates after, so sales teams spend more time selling. Sales teams don't need another transcription tool. Every vendor now offers meeting recordings and summaries. What they actually need is real-time objection handling and tailored responses." - Ravi Srinivasan AUSTIN, TX, UNITED STATES, October 28, 2026 / EINPresswire.com / - Agentect, an AI-powered sales intelligence platform for enterprise B2B sales teams, today opened a private beta and a public waitlist. The platform pairs real-time, on-device coaching during calls with automated post-call analytics, so reps no longer have to choose between selling and keeping up with everything that happens after the call. The platform addresses the performance gap that costs enterprise sales organizations millions in lost deal velocity. Reps spend over 70% of their day in post-call admin and data entry, yet when they're on a live meeting facing a tough objection or a budget conversation, they're without guidance or the right content. Agentect closes both gaps at once with a live coaching assistant during calls and automated post-call execution that frees reps to focus on selling. The platform runs locally on-device on a rep's laptop, not in the cloud when available, which means conversations stay private on the person's machine while they're selling. Reps see instant objection-handling battlecards, case studies, and ROI calculators surface in real time. After the call, they get structured meeting summaries, time-stamped sentiment timelines, key decision highlights, auto-synced CRM deal logs, and one-click follow-up email drafts. "Sales teams don't need another transcription tool," said Ravi Srinivasan, COO at Agentect. "Every vendor now offers meeting recordings and summaries. What they actually need is real-time objection handling and tailored responses. A rep realizes mid-call they should have asked about budget or mentioned a case study they had in their back pocket, but it's too late. We're eliminating that moment." What separates Agentect from conversation intelligence competitors like Gong, Salesloft, and Granola is the timing. Those platforms analyze calls after they happen. Agentect moves enablement and assistance into the call, surfacing objection battlecards, relevant case studies, and ROI calculations in real time. The difference matters because a rep's best moment to address an objection is when the prospect raises it, not in the post-call review. Agentect uses proprietary small models (HyDrag) that run on-device to enable this near-real-time processing without the latency of cloud APIs. Each company's models are fine-tuned on their own website, past won deals, and sales collateral, ensuring guidance reflects their actual positioning and playbook, not a generic recommendation engine. After calls, reps get automated CRM updates, one-click follow-up drafts, and objection tracking. Managers see aggregated performance metrics: conversion by objection type, progression scores, and revenue forecasting tied to deal movement. Weekly per-user coaching emails keep reps focused on the next call rather than drowning in call reviews.Agentect is tuned to how you sell in real-time and fast. There is no bridge between the guidance and your reality. Agentect is live with an oil and gas asset management firm, where sales reps have been using its post-call analytics for the past two months. The company is now expanding to real-time, in-call guidance across its sales team. Wali Khan, Founder and CEO of Agentect, said, "We've built components of this separately before with note-taking, analytics, AI coaching. What we've done here is combine them with a local-first architecture that keeps processing on the user's machine. That matters because cloud API latency is your enemy when a rep needs instant guidance, and data residency is your friend when companies care about where their conversations live." The Agentect beta focuses on post-call notetaking, analytics, and automation. After every call, users get notes, summaries, next steps, and follow-up drafts, along with recipes, simple automations they can build themselves, like researching a competitor's pricing when it comes up on a call and drafting the follow-up email. Following the beta, Agentect will work with a small group of pilot customers to bring its live, in-call guidance features into real sales conversations before they reach the broader market. At commercial launch, Agentect will offer two tiers: - Real-Time: In-call guidance, conversation analytics, CRM sync, and admin automation. - Enterprise: The full suite, including multi-team management, strategic enablement, and custom model training. The beta carries no setup fees and no seat minimums. Agentect integrates with Zoom, Google Meet, and Microsoft Teams on the call side and with HubSpot or Salesforce on the CRM side. Beta partners receive white-glove onboarding, direct input into feature priorities, and locked-in early adopter pricing at commercial launch. Agentect earned the most visited booth recognition at the Gatherly Venture Expo, a signal that investors and founders see the market opportunity. "When founders and investors are already talking about the problem we solve before we even pitch it, you know you're onto something," said Srinivasan. "The bet we're making is that sales leaders are tired of piecing together five different tools to get a single view of what's working on calls. We're betting on the opposite: one platform that tells the truth." The beta waitlist is now open. Agentect is inviting new users in small groups so every team gets hands-on support from day one. More information and beta waitlist: www.agentect.com / About Agentect Agentect is a sales intelligence platform for enterprise B2B sales organizations. The company combines real-time in-call rep assistance with automated post-call analytics and CRM integration, powered by proprietary small models that enable near-real-time processing without relying on cloud APIs. Founded in 2026, Agentect is based in Austin, Texas. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. 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Gong named a Leader in 2026 Gartner(R) Magic Quadrant(TM) for Revenue Action Orchestration for second consecutive year. Gong positioned highest for Ability to Execute and furthest for Completeness of Vision. Gong, the leading revenue AI company, announced that it has been named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Revenue Action Orchestration (RAO) for the second year in a row. Gong is one of only four vendors named a Leader among the 13 evaluated and it was positioned highest on the Ability to Execute axis and furthest for Completeness of Vision axis. Based on the report, which states, "RAO serves as the primary system of seller action and a single source of truth for sales interactions," Gong believes its Leader position reflects the strength of its Revenue AI platform which combines the Gong Revenue Graph, specialized AI agents, and purpose-built applications so revenue teams can run prospecting, deal execution, forecasting, coaching and more on a single system. "Gong created the Revenue AI category, we're leading it, and we're committed to leading it for years to come," said Amit Bendov, co-founder and CEO of Gong. "We're focused on helping revenue teams move from insight to action to results, at scale. Being named a Leader in the 2026 Gartner Magic Quadrant for Revenue Action Orchestration for the second consecutive year reflects that commitment and the outcomes our customers drive with Revenue AI" Gong believes this Leader position is a testament to the measurable outcomes Gong's 5,000+ customers and raving fans have achieved. At Celebrate '26, Gong's annual conference, customers revealed incredible wins: Cisco's early-adopting teams are seeing roughly 26% higher win rates and 32% larger deal sizes, AT&T Business improved rep productivity by 54%, and Experian lifted win rates by 25%.