Your Revenue Org,Powered by
Autonomous Agents
Proactive AI agents that work with your team to prospect, close, retain, and expand your revenue.
Agents for entire revenue lifecycle
Researcher
Researches accounts and buyers to uncover ICP fit, context, and develop point of views.
Prospector
Builds tailored outreach and runs campaigns to turn target accounts into pipeline.
Rapid Responder
Calls and qualifies inbound leads to book meetings before interest cools.
Quick Qualifier
Routes high-intent leads to the right seller to speed up handoffs.
Researcher
Researches accounts and buyers to uncover ICP fit, context, and develop point of views.
Find, qualify, and engage the right buyers faster.
Prospector
Builds and runs tailored outbound campaigns.
Prep, follow up, update CRM, and move deals forward.
Deal Driver
Keeps every deal moving forward.
Plan demos, keep POCs honest, and hand off clean.
Hand-off Hank
Turns the closed technical sale into the packet solution engineering needs to implement without rediscovery.
Keep implementations on track from closed-won to launch.
Onboarding Tracker
Tracks onboarding progress and risks.
Spot risks, surface saves, and protect every renewal.
Portfolio Manager
Flags accounts that need attention.
Catch expansion signals and turn them into pipeline.
Gold Digger
Finds expansion signals across accounts.
Keep process, data, and forecasts clean automatically.
CRM Manager
Keeps CRM clean automatically.
Turn winning behaviors into coaching and content.
Coach
Flags habits that cost deals.
Leaders want AI-native growth.
But teams are stuck at Level 2 AI adoption.
But teams are stuck at Level 2 AI adoption. Four challenges get in the way: existing costs, scattered context, context overload and constant prompting.
Four challenges get in the way:
Existing costs
Scattered context
Context overload
Constant prompting
Where is your team today?
ChatGPT for all
Team-wide ChatGPT licenses. Used mostly for copy-paste.
Claude + DIY Builders
MOST COMMONA few people run Claude and build their own skills. Data connectors are open.
Centralized skills, first agents
Engineering team leveraged for building a couple of agents.
Autonomous agents in production
GoalAgents run in the background. GTM engineers monitor and optimize.
Budget locked in SaaS
Years of single-point SaaS tools, patched together to work as one bloated stack. Each one sends a separate bill, this is where your budget is trapped.
Same Apps at 70% Less
Every app your revenue team already runs on, now AI-native. At 70% less. That saving funds your agents. Migrate in days, all use cases covered.
See price comparison for a team of 10 SDRs, 10 AEs, 10 CSMs, and 20 others with only a Conversation Intelligence license.
142,20031,320Legacy Tools
Oliv AI
$133$1986%
$80$1977%
$110$3964%
$150$2980%
$150$5960%How is Oliv this reasonable?
Legacy tools spent a decade and $100M+ building these apps. AI lets us build them for a fraction, and we pass the saving on.
Context Scattered across apps
Every tool holds a piece of context: meetings in Gong, usage in Pendo, Tickets in Zendesk. This scatter creates complete confusion for humans and AI agents.
Oliv turns scattered data into AI-ready context
Oliv Captures Everything
Full context captured. So your agents know how to move forward, just like your best revenue team member would.
Your calls, emails, Zoom, messages, and even in-person meetings
Enriched with 3rd party data - Zoominfo, 6Sense, LinkedIn
Connected to your apps: Gainsight, Salesforce, Outreach, Gong
And connects that context to the right account and opportunity
Oliv’s Object Graph connects every conversation, message and activity to the right people, account and opportunity. Your agents know who said what, and which account or opportunity it belongs to.
Transcripts
Daniel from Modern
Emails
Calendar
D.Keylam
Chat
@daniel
CRM
Daniel Keylam | VP Engineer
Too much raw context leaves AI confused
Each new meeting, email and message adds more raw information. Claude has to work out what matters to your business and rebuild its understanding every time you ask a question, making answers expensive, irrelevant and incomplete.
Expensive
Irrelevant
Incomplete
Oliv prepares the context before your AI needs it
Oliv interprets every conversation using your company’s playbook
Oliv learns your product, qualification criteria, processes and exceptions from your documentation and what happens in the field, then documents that knowledge in a Process Graph. It applies your company’s playbook to understand each new conversation in the context of the right account or opportunity.
Pipeline Tracker
Olivia
Retention Forecaster
Story Reel
Forecaster
Analyst
Gold Digger
Re-Activator
Portfolio Manager
MAP Manager
Deal Driver
Deal Assistant
CRM Manager
Discovery & Resistance
Product, Pricing, Demos & MAPs
Selling Scenarios & Call Playlists
Customer Stories
Case Builder
Content Curator
Sales Process
Handoff to CS
Customer Onboarding
Activation & Value
Post-Sale Risks
Health Scoring
Adoption & Engagement
Renewal
QBRs & Reviews
Upsell & Cross-sell
Churn Save & Advocacy
I Need Meetings
Quick Qualifier
Hand-off to Sales
Competitors
Pre-meeting Prep
And precomputes the answers to save your AI the work and tokens
Oliv’s 100+ specialized small language models (SLMs) each focus on a specific revenue question. They read conversations in full and update the account and opportunity context as new information arrives. Your AI uses those precomputed answers instead of spending time and tokens rebuilding context from raw history.
100+ Oliv SLMs
Together, that’s one complete Context Graph for every account and opportunity
Object Graph connects the right activity. Process Graph supplies your company’s playbook. Signal Graph prepares the answers. Together, they give your apps and agents the context to work on every account and opportunity.
Context graph
Object graph + Process graph + Signal graph
Claude runs on your desktop and waits for your next prompt
Claude works when someone asks. Each person runs their own prompts, follows their own practices and coordinates the next steps. Your team still has to keep the work moving.
Your team of always-on agents
Oliv’s agents run in the background, start work from signals and schedules, and collaborate with your team and each other.
Oliv builds it for you
Oliv builds it for you.
Our in-house GTM engineers connect your data, learn your process, and build and improve agents with your team. We bring the talent to get the work running.
Our in-house GTM engineers connect your data, learn your process, and build and improve agents with your team. We bring the talent to get the work running.
Sylvia Jones
GTM Engineer
Former Solutions Engineer for Databricks. CS Major, graduated from NIT.
Santosh Kapoor
GTM Engineer
Former Solutions Engineer for Databricks. CS Major, graduated from NIT.
Your data is yours
Use Oliv in the way that fits your environment. Choose one approach or mix andmatch all three.
Run your agents on Oliv
Use Oliv as your agent platform, with your connected context and always-on agents working together.
Connect your own agent systems to Oliv
Use MCP to give your agents access to the context Oliv builds for your accounts and opportunities.
Sync rich context to your systems
Bring account and opportunity context back into Salesforce, Snowflake, Databricks or Redshift, your system of records.
No rip and replace on Day 1
No rip and replace on Day 1
Connect everything and migrate when you’re ready
Connect only what you need today and migrate when you’re ready
