Add intelligence to your dashboards and reports.
Move beyond static dashboards and spreadsheets to conversational, predictive analytics. Our AI-powered business intelligence solutions let you ask questions in natural language, get automated insights, and make faster, data-driven decisions with confidence.
Enterprise teams face these obstacles daily
Executives spending hours digging through dashboards for simple answers
Analysts overwhelmed with ad-hoc data requests from leadership
Static reports that show what happened, not what will happen
Inability to ask complex business questions without SQL or BI expertise
Data silos preventing holistic view of business performance
Enterprise-grade AI systems designed for measurable impact
Ask questions about your business data in plain English and get instant, accurate answers. Our RAG-powered system connects to your databases, data warehouses, and BI tools for natural language analytics.
Machine learning models that predict sales, churn, demand, and other key metrics with 90%+ accuracy. Get early warnings of problems and opportunities with automated anomaly detection.
AI-powered assistant for C-suite executives that synthesizes data from multiple sources, answers strategic questions, and provides data-driven recommendations for key decisions.
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See how enterprises achieved measurable results
CFO spending 10+ hours weekly preparing board reports from multiple data sources
AI-powered reporting assistant that auto-generates board presentations with insights and anomaly highlights
Needed to predict churn 60 days in advance to enable proactive retention efforts
ML-powered churn prediction model analyzing usage patterns, support tickets, and engagement signals
Supply chain team unable to forecast demand accurately, causing $2M in excess inventory
AI demand forecasting system integrating sales data, market trends, and external signals
Traditional BI requires creating predefined dashboards and knowing SQL or drag-and-drop interfaces. Conversational BI lets anyone ask questions in plain English like "What were our top-selling products last quarter in the Northeast region?" The AI translates this to SQL, queries your data, and provides the answer with visualizations. No training required.
Our predictive models typically achieve 85-95% accuracy depending on data quality and business volatility. We use ensemble methods combining multiple algorithms (Prophet, ARIMA, LSTM) and continuously retrain on new data. Models include confidence intervals so you know the prediction reliability. Accuracy improves over time as models learn from outcomes.
Yes. We integrate with all major data platforms including Snowflake, BigQuery, Redshift, Azure Synapse, and databases like PostgreSQL, MySQL, SQL Server. For BI tools, we connect with Tableau, PowerBI, Looker, Qlik, and others via APIs. The AI acts as an intelligent layer on top of your existing data infrastructure.
We implement multiple safety measures: SQL query validation before execution, confidence scoring with "low confidence" warnings, human review workflows for critical decisions, and audit logs showing how answers were derived. Users can rate answers to continuously improve accuracy. For critical use cases, we recommend human-in-the-loop validation.
Let's discuss your specific challenges and design a custom AI solution that delivers measurable ROI.
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