Oliv AI

What Oliv AI does

Oliv AI provides AI agents that automate responsibilities for revenue teams, rather than just completing tasks. The platform addresses unreliable deal data by capturing deal intelligence from every meeting, call, and email without rep involvement. This results in a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Oliv AI agents are built for sales managers, AEs, and RevOps, handling work that takes them away from selling. The system operates on a GTM Context Graph that synthesizes revenue context from various sources, including CRM, emails, calls, and chat, before any question is asked. This graph consists of an Object Graph for accurate entity mapping, a Signal Graph for pipeline, intent, forecast, and customer context, and a Process Graph that encodes the actual revenue motion. Oliv AI utilizes over 100 revenue-specific Small Language Models (SLMs) for precise, tailored insights. The company aims to transform revenue operations by providing agentic observability, allowing AI to manage GTM execution, reduce busywork, and provide comprehensive context across the revenue lifecycle.

Products

• Oliv NotetakerA meeting recorder offering unlimited transcription, automated video recording, unlimited AI summary notes, multilingual support, and an 'Ask AI' feature for every meeting.
• Meeting InsightsProvides custom meeting AI scorecards, meeting coaching insights, smart playlists, global 'Ask AI' across all meetings, interaction and talk-pattern skills analysis, auto call scoring with AI, real-time answer assistant, standard topic intelligence, custom smart topic trackers, and custom keyword trackers.
• Deal InsightsOffers AI sales methodology tracker, AI win-loss deal analysis, deal view for pipeline reviews, 'Ask AI' across deals, AI deal health score, AI deal lifecycle tracking, roll-up and aggregated forecasting, and two-way CRM integration.
• Olivia (Super Agent)Chief of AI Staff that monitors everything and coordinates specialist agents across sales, customer success, and account expansion teams. Manages GTM motion, automates forecasting, keeps CRM current, and ensures mutual action plans are updated.
• Oliver (Chief AI GTM Engineer)Learns what creates pipeline, wins, and where customers renew or churn, then turns those patterns into rules, workflows, and context for teams and specialist agents. Keeps the playbook updated and orchestrates agents across the revenue lifecycle.
• Deal DriverAn AI agent for sales managers that tracks deals, flags risks, sends weekly pipeline updates, and loops sales managers at key moments. It surfaces meetings, risks, and deals needing attention, nudges reps on stalled deals, and provides daily summaries and prepped rep reviews.
• ResearcherResearches accounts and buyers to uncover ICP fit, context, and develop points of view.
• ProspectorBuilds tailored outreach and runs campaigns to turn target accounts into pipeline.
• Rapid ResponderCalls and qualifies inbound leads to book meetings before interest cools.
• Quick QualifierRoutes high-intent leads to the right seller to speed up handoffs.
• Meeting AssistantPreps meetings and writes follow-ups.
• CRM ManagerUpdates CRM without rep busywork and keeps CRM records aligned to rules.
• ForecasterBuilds forecasts from live deal signals and automates rep-to-leadership forecasting.
• Onboarding TrackerTracks onboarding progress and risks, and spots onboarding slips before they escalate.
• Hand-off HankTurns sales context into CS handoffs.
• Portfolio ManagerFlags accounts that need attention and surfaces account risk using customer standards.
• Gold DiggerCatches expansion signals from customers and finds whitespace inside existing accounts.
• Retention ForecasterSpots renewal risk before it goes quiet and forecasts expansion from account signals.
• CoachImproves CS behaviors that drive retention and flags habits that cost deals. Trains reps and CSMs on standards learned from best calls.
• Content CuratorClips winning moments from calls and keeps playbooks and methodology current.

Key capabilities

• AI agents for revenue teams
• Automated deal intelligence capture
• Scorecards based on sales methodologies (MEDDICC, BANT, SPICED)
• GTM Context Graph (Object Graph, Signal Graph, Process Graph)
• 100+ revenue-specific Small Language Models (SLMs)
• Agentic observability
• Automated CRM updates
• Real-time alerts and insights
• Multilingual support
• Customizable workflows and dashboards
• Data migration from existing tools
• Integration with CRM, conversational intelligence, sales enablement, meeting recorders, sales prospecting, communication channels (email, web conferencing)

Use cases

• Automating sales operations
• Improving deal data reliability
• Tracking deal progress and risks
• Forecasting sales and renewals
• Qualifying leads
• Preparing for meetings and follow-ups
• Updating CRM automatically
• Researching accounts and buyers
• Building and running tailored outreach campaigns
• Managing customer onboarding and retention
• Identifying expansion opportunities
• Coaching sales and customer success teams
• Curating winning call moments and updating playbooks
• Reducing manual CRM workload
• Accelerating sales cycles
• Boosting close rates
• Improving forecast confidence
• Ensuring consistent application of sales methodologies (e.g., MEDDIC)

AI approach

Oliv AI develops AI agents specifically for revenue teams, aiming to automate tasks and provide insights across the sales lifecycle. Their core technology involves a "GTM Context Graph" that synthesizes revenue context from various data sources (CRM, emails, calls, etc.) and an "Intent Graph" that replaces generic LLMs with 100+ revenue-specific Small Language Models (SLMs). These SLMs reason over full customer histories to deliver precise, tailored insights. The company emphasizes building agents that "own responsibilities" rather than just completing tasks, and they focus on addressing challenges like unstructured data, enterprise-ready infrastructure, and the talent gap for GTM Engineers.

Tech named: AI agents, GTM Context Graph, Object Graph, Signal Graph, Intent Graph, Process Graph, Small Language Models, SLMs, Claude

What it says sets it apart

• Focus on AI agents that own responsibilities, not just tasks
• GTM Context Graph for synthesizing comprehensive revenue context
• Utilizes 100+ revenue-specific Small Language Models (SLMs)
• Modular product offering, allowing teams to buy only what they need
• No-cost migration from any existing tool
• Transparent pricing with no hidden fees
• Viewers and collaborators are always free
• Removes the need for constant monitoring by managers, proactively surfacing issues
• Integrates seamlessly with a wide range of existing tech stacks
• Rapid setup and customization (2-4 weeks for full customization)
• Addresses the 'tool trap' and 'visibility crisis' in RevOps by providing a unified, intelligent system