WPIntelliChat is an AI-powered analytics platform that lets any business user upload data, ask questions in plain English, and instantly receive dashboards, forecasts, and reports - no SQL, no developers, no delays.
Faster than traditional BI reporting
Lines of code or SQL required
Self-service - no IT tickets
From raw data to live AI dashboards
WPIntelliChat is an open-source AI data intelligence platform built by Woodpecker Analytics. It sits on top of your existing data — whether that's a spreadsheet, a database, or a cloud warehouse - and gives your team a conversational interface to explore, visualise, and forecast from it instantly.
Think of it as having a senior data analyst available 24/7 who never needs a Jira ticket, never writes SQL manually, and never makes you wait three days for a report. You ask. It answers. In seconds.
Upload CSV, Excel, or Parquet files - or connect directly to MySQL, PostgreSQL, and cloud databases. WPIntelliChat ingests and prepares it automatically.
Type exactly what you want to know - "Show me top-performing regions last quarter" or "What happens if we raise prices by 10%?" - and the AI understands your intent.
In seconds, WPIntelliChat returns interactive charts, KPI dashboards, ML-powered predictions with confidence scores, and next-action recommendations.
Set recurring reports to run automatically, trigger alerts, and control every AI output through the built-in AEGIS governance framework - no extra tools needed.
Traditional BI requires a technical middleman at every step. WPIntelliChat removes the middleman entirely.
WPIntelliChat combines querying, forecasting, automation, governance, and custom AI agent building into one unified platform.
Translates free-form natural language input into executable SQL, Python, or analytical logic via an LLM inference layer. Parsed, validated, and run against connected data sources automatically.
Evaluates data characteristics and variable relationships to select and execute the optimal ML or statistical model. Outputs structured time-series projections, confidence intervals, and scenario-based sensitivity analysis.
Programmatically renders interactive chart-driven dashboards directly from query outputs. Supports configurable KPI tiles, drill-down views, and cross-filter interactivity instantiated from a single prompt.
Deploys multi-step AI agent pipelines with configurable scheduling, trigger conditions, and action sequences. Agents autonomously execute tasks and dispatch output artefacts via defined delivery channels.
Native connectors for MySQL, PostgreSQL, cloud warehouses, CSV, XLSX, and Parquet. Ingested data is normalised and persisted in a high-performance DuckDB columnar store for low-latency querying.
Enforces output guardrails, maintains immutable audit logs, and supports human-in-the-loop review workflows. Provides full traceability across the inference and output lifecycle.
No-code agent authoring environment built on the Model Context Protocol. Agents are configured with defined tool access, logic flows, and data bindings then deployed via the Connectors Catalog.
Supports BYOM configurations for on-premise or private cloud environments. Full control over model versioning, data residency, and API routing with no vendor dependency.
Whether you're in finance, operations, sales, or strategy - if you use data to make decisions, WPIntelliChat was made for you.
Ask "Which rep closed the most deals in Q2?" and get a ranked dashboard in seconds - no waiting for ops to pull CRM data. Track pipeline health, regional performance, and forecast targets in real time.
Automate monthly P&L summaries, cash flow analysis, and ML-forecasted revenue projections. Schedule them to run and land in your inbox automatically - every period, without lifting a finger.
Identify bottlenecks, monitor KPIs, and forecast demand - all from the same chat interface your whole team already knows. Spot inefficiencies before they become problems.
Run scenario modelling like "what if we expand to a new market?" with AI-generated projections and confidence levels. Make bold strategic decisions backed by live data - not gut feel.
WPIntelliChat orchestrates your entire data journey - ingestion, cleaning, analysis, forecasting, and visualisation - so your team only sees the finished insight.
Upload files or connect databases. System generates metadata, sample data, and ETL tool inventory automatically.
AI evaluates data quality, returns a confidence score for accurate forecasting, and recommends required ETL actions.
You review AI recommendations and approve next steps. You stay in control - the AI does the heavy lifting.
AI selects the best pre-built forecast model based on your query, industry context, and data characteristics.
Dashboards and forecasts appear on your screen. LLM suggests next steps: drill down, build more dashboards, or automate.
Every AI-generated answer in WPIntelliChat is audited, guardrailed, and human-reviewable. Governance is baked in from day one - not bolted on.
Every query, result, and AI decision is logged and traceable - giving compliance teams, managers, and auditors a complete picture of how any insight was generated.
Critical or high-stakes analyses can be flagged for human sign-off before being distributed - keeping your team firmly in control of AI-generated decisions.
Automated safeguards stop the AI from surfacing misleading, incomplete, or out-of-scope answers - so decision-makers always receive reliable, verified intelligence.
Control exactly who can see what. Enterprise-grade role permissions ensure sensitive business data stays within the right hands - always.