The AI kit for Chief Revenue Officers

Designs your revenue engine: sales model, quotas, NRR model, pricing review, board forecast, for example a full FY26 plan.

Builds a forecast from CRM and pipeline data with scenarios and an approval step, for example Q3 commit versus best case.

Turns pipeline and team metrics into coverage analysis, targets, and shareable reports, for example showing you need 3.2x coverage.

Recommends on segmentation, funnel fixes, pricing, positioning, territories, and CRM setup, for example where to cut a leaking mid-funnel stage.

Like "Summarize Revenue Dashboard Trends"

Like "Build Forecast Scenario Assumptions"

Like "Generate Pricing Tier Options"

Like "Draft Shared Revenue Definitions"

A forecast that reflects real buyer evidence.

Only real changes in the numbers reach the leadership meeting.

A market size backed by two independent estimates, with the gap explained and every assumption sourced.

A recommendation that shows the effect of each pricing option on revenue and current customers.

Ask your AI for a plain-English business report from your Odoo data, with a verdict on how things are going.

Let your AI find LinkedIn leads, write messages in your voice, follow up, and handle replies for you.

Let your AI search your Box files, answer questions about them, and pull out details for you.

Ask your AI to run real statistical analysis on your data and get back a chart-filled report you can cite.

Banyan AI Lite unifies billing, CRM, product and support data to detect customers at risk, hidden revenue leaks, and expansion opportunities, delivering clear A

TigerEye is an AI-driven platform that helps sales, marketing, and finance leaders test scenarios and collaborate on go-to-market plans, enabling smarter decisi

Supernova connects startup data from Stripe, HubSpot, PostgreSQL, and 30+ other sources to AI tools like Claude and Codex. It lets non-engineers ask questions a

Narrative BI transforms raw data into actionable insights, integrating seamlessly with platforms like Google Analytics and Salesforce. With features like anomal

Build this when you need a reviewed forecast decision with the evidence still attached, not a slide with orphan numbers.

Build this to cut manual price checking and keep every price change defensible in a board or customer conversation.

Build this when strategy keeps getting rewritten and you want every assumption tied back to its evidence.

Build this to show the driver math behind each scenario in plain language for your leadership team.

Designs pricing, packaging, and monetization strategy based on customer willingness to pay and growth objectives.

Design and optimize revenue operations, lead lifecycle, scoring, routing, and CRM automation.

Assesses customer health, prevents churn, and finds upsell opportunities using confirmed data.

Systematic competitor analysis for developer tools — track features, pricing, sentiment, and battlecards. No market entry strategy or product roadmap.