Pricing Overview

Flexible plans tailored to your business insights journey

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Starter

Small teams, pilot projects, or departments looking to explore Agentic AI analytics

  • Limited user access
  • Single data source
  • Core AI analytics
  • Basic collaboration
  • KPI monitoring
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Starter Plus

Mid-sized teams seeking broader access, more integrations, and advanced collaboration

  • Higher user limits
  • Multiple data sources
  • Advanced AI features
  • Enhanced collaboration
  • Proactive KPI alerts
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Enterprise

Large organizations and enterprises with complex environments, high security, and customization needs

  • Customized for scale
  • Unlimited data connectors
  • Full Agentic AI suite
  • Industry-specific playbooks
  • Custom integrations
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Feature Comparison

See how Pollinetic’s capabilities expand from essential data visibility for smaller teams to advanced, enterprise-grade features for larger organizations. 

  • Features

  • Starter

  • Starter Plus

  • Enterprise

  • Intended For

  • Small teams, pilots

  • Mid-sized teams, multi-dept. use

  • Large orgs, complex/regulated environments

  • Users

  • Up to 10 users

  • Up to 50 users

  • Customized for scale

  • Data Source Connections

  • 1 (single warehouse or app)

  • 2–5 (warehouses, databases, business apps)

  • Unlimited (all supported sources, custom connectors)

  • Agentic AI Analytics

  • Core (NLQ, charts, summaries)

  • Enhanced (root-cause, anomaly detection, experimentation)

  • Full suite (all analysis, forecasting, experimentation)

  • Collaboration

  • Basic (commenting, sharing)

  • Advanced (real-time co-creation, threaded analysis)

  • Enterprise (custom workspaces, advanced versioning)

  • Semantic Layer & Glossary

  • Centralized metrics (basic)

  • Extended (cross-source definitions, templates)

  • Customizable, enterprise-wide

  • Monitoring & Alerts

  • Standard (limited KPIs)

  • Proactive (more KPIs, trend alerts)

  • Automated, continuous, custom alerting

  • Security & Access Control

  • Role-based, PII masking

  • Audit logs, SSO/SAML integration

  • Custom policies, advanced RBAC, detailed audit trails

  • Custom Integrations & APIs

  • Included (custom integration, API access)

  • Industry/Use-Case Playbooks

  • Standard templates

  • Custom playbooks, vertical configurations

  • Workspace Automation

  • Automated insight delivery, human-in-the-loop workflows

    • Questions answered

    Find answers to common questions and learn more about Pollinetic.

    • Ask questions in natural language (e.g., “Why did churn increase last month?”)
    • Run cohort, funnel, variance, and segmentation analysis on demand
    • Auto‑generate charts, tables, and executive‑ready narratives
    • Set up metric monitors and anomaly alerts with explanations
    • Collaborate on analyses in a shared workspace with full history and comments

    AI agents are specialized components designed for specific parts of the analytics lifecycle, such as:

    • Data discovery and source selection
    • Query generation and optimization
    • Visualization and storytelling
    • Anomaly detection and root‑cause exploration

    Agents collaborate and critique each other’s work to improve reliability and reduce hallucinations.

    Pollinetic is designed to complement, not necessarily replace, existing BI tools. It:

    • Sits on top of your current data infrastructure
    • Handles ad‑hoc questions, investigations, and “why” analysis
    • Reduces the need for one‑off dashboards and manual reports

    Many teams continue using existing dashboards for routine monitoring, while Pollinetic handles deeper, interactive, and exploratory analysis.

    Yes. Pollinetic is a collaborative workspace. Teams can:

    • Share analyses and “threads”
    • Comment and annotate within the workspace
    • Reuse and adapt existing investigations as templates or playbooks

    This turns ad‑hoc analysis into institutional knowledge that compounds over time.

     

    Pollinetic is typically deployed to query data in place. In most setups:

    • Data remains in your warehouse or systems of record
    • Pollinetic issues secure queries and works with query results
    • Configuration, metadata, and analysis artifacts are stored within Pollinetic

    We can discuss specific data residency and architecture options during implementation.

    Most teams can connect core data sources and run initial analyses within days, depending on:

    • Complexity of your data model and environments
    • Existing semantic layers or metric definitions
    • Number of systems and teams involved

    We typically recommend a phased rollout, starting with a few high‑impact use cases.

    It’s not mandatory to have a mature data warehouse but if you have one Pollinetic can connect to it, if not then we help you prioritize critical data sources to build pipeline for Pollinetic to work on.

    We provide:

    • Guided onboarding and configuration
    • Training sessions for data teams and business users
    • Best‑practice playbooks for common use cases by industry
    • Ongoing customer support and product guidance

    Yes. While the core platform is cross‑industry, we support tailored configurations and playbooks for verticals such as retail/e‑commerce, manufacturing, construction, and higher education, among others. We’ll work with you to align agents, metrics, and workflows with your specific needs.

    Most tools route your question to a single model and return a one‑off answer. Pollinetic coordinates multiple specialized AI agents that:

    • Identify relevant data and metrics
    • Write and validate queries
    • Produce visual and narrative analysis
    • Monitor key metrics and surface anomalies over time

    You don’t just get a chat reply—you get a living, reusable analytic workflow with context, history, and governance.

    Launch with ease

    Seize the opportunity – empower your business

    Experience  Agentic AI analytics. Your journey begins now!

    Book a demo