What is Pollinetic?
Pollinetic is an Agentic AI Analytics Workspace that brings together data access, analysis, collaboration, and governance in a single environment. Rather than relying on a single chat interface, Pollinetic orchestrates a collection of cooperative AI agents—each specialized for tasks like data discovery, querying, visualization, monitoring, and explanation.
Key Features
- Autonomous AI agents that handle tasks such as data discovery, query generation, experimentation, anomaly detection, and root-cause analysis.
- Agents collaborate and critique each other’s work to improve accuracy and reduce hallucinations.
- Plain-language questions like, “Why did churn increase last quarter in EMEA?” trigger end-to-end workflows: data selection, SQL generation, analysis, visuals, and written explanations.
- Automatic generation of charts, tables, and stories tailored to executives, product managers, or operations teams.
- Shared workspaces where teams can co-create analyses, comment, and iterate in real time.
- Versioned analytics “threads” that maintain full history of questions, assumptions, and changes—turning insights into a reusable knowledge base.
- Native connectors to cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), databases, and business tools (e.g., Salesforce, HubSpot, Stripe).
- Centralized semantic layer and data catalog so AI agents understand business definitions and metrics with consistency.
- Fine-grained access controls, audit logs, and policy-based governance to protect sensitive data.
- Auto-generated monitors and alerts that watch key metrics and notify teams when thresholds or anomalies occur.
- Agents propose explanations, run scenario analyses, and suggest experiments when changes in the data are detected.
Built for Data Teams, Accessible to Everyone
Data & Analytics Teams
- Reduce ad-hoc ticket volume by enabling governed self-service analytics.
- Maintain control of data models, metrics, and access while agents handle repetitive and exploratory work.
- Accelerate complex workflows such as cohort analysis, funnel analysis, and customer segmentation.
Business & Product Teams
- Ask questions in natural language and receive clear, contextual answers with charts and narratives.
- Turn recurring questions into reusable “agent playbooks” that can be re-run on updated data.
- Close the gap between insight and decision-making with faster, more transparent analytics.
Industry Use Cases
Connect your storefront, marketing, and customer data. Ask questions like:
- “Why did mobile conversion drop this week?”
- “Which campaigns drive the highest LTV?”
- Diagnose funnel drop‑offs in natural language
- Track margin and AOV shifts across channels
Pollinetic’s AI agents discover the right data, run the analysis, and explain the why—in minutes, not days.
Pollinetic connects to your project management, ERP, field, and safety systems, then uses AI agents to answer:
- “Which projects are quietly drifting off budget or schedule?”
- “Where are RFIs, change orders, and safety incidents accelerating?”
- Track CPI, SPI, RFIs, and safety by site in real time
- Spot emerging risk patterns by trade, region, or contractor
- Give field leaders and executives a shared, living view of the portfolio
One workspace, natural‑language questions, autonomous analysis.
Pollinetic connects to MES, ERP, and supply chain systems, then uses AI agents to answer questions like:
- “What’s really driving downtime on Line 3?”
- “Where are scrap and rework spiking by plant or shift?”
- Monitor OEE, scrap, and yield in real time
- Detect anomalies before they become trends
- Propose potential root causes across lines, shifts, or suppliers
No new dashboards. Just natural‑language questions and autonomous, governed analysis.
Pollinetic connects SIS, LMS, CRM/advancement, and institutional data, then uses AI agents to answer:
- “Which students are at highest risk of attrition?”
- “How are enrollment and yield shifting by program and modality?”
- “Which campaigns actually move alumni engagement?”
- Track retention, completion, and equity gaps by cohort
- Understand enrollment pipelines in real time
- Optimize advancement campaigns with clear evidence
No more waiting on one‑off reports—just natural‑language questions and transparent, governed analysis.
- Optimize occupancy, ADR, and RevPAR across properties, segments, and channels.
- Pollinetic combines PMS, RMS, and channel data, explaining changes (e.g., segment mix, channel shift, event impact) and identifying pricing or length‑of‑stay opportunities.
- Understand the true cost and performance of OTAs, direct, corporate, and group channels.
- AI agents analyze net revenue after commissions and discounts, surface channel cannibalization, and suggest where to steer demand toward higher‑margin channels.
- Identify high‑value guest segments and design targeted offers or experiences.
- Pollinetic clusters guests by spend, stay patterns, and behavior (e.g., upsell responsiveness), then explains what differentiates high‑LTV segments.
Pricing & Access
Pricing typically depends on factors such as:
- Number and type of users (e.g., creators vs. viewers)
- Data volume and complexity
- Support and onboarding requirements
For detailed pricing and packaging, please contact us directly or request a demo.
Frequently Asked Questions
With Pollinetic, you can:
- 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 designed to work with modern data stacks and operational systems, including (for example):
- Cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Business applications (e.g., CRM, marketing, billing, e‑commerce, ERP)
Exact connector support can be tailored to your environment during onboarding.
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, not your raw source data
We can discuss specific data residency and architecture options during implementation.
Pollinetic is built with enterprise security in mind. Key elements include:
- Role‑based access control aligned with your data permissions
- Single sign‑on (SSO) / SAML integration (where supported)
- PII data is masked and never sent to LLM’s
- Audit logs for queries, access, and key actions
AI agents operate within these same controls—they do not see or query data your users cannot access.
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.