Foundational Advanced Multi-Agent

The Data Science Agent

From question to forecast in a single conversation. Business users ask about trends, the agent builds the model, and delivers predictions ready for decisions. No data science team required.

WeeksHours
Data-to-insight time
80%
Less analyst prep time
Zero
Coding required
DS

Data Science Agent

Connected to your data

Online
CFO
What will Q2 revenue look like based on current trends?
Analyzing 18 months of revenue data...
$12.4M
Q2 Forecast
87%
Confidence
Key drivers: Enterprise deals +23%, SMB flat
CFO
What if we increase marketing spend 15%?

Predictions arrive too late to matter

Your data science team is a bottleneck, not an accelerator.

Leadership wants forecasts now. Your team delivers them next quarter.

Simple "what if" scenarios require weeks of analyst time.

Business users can't self-serve; every question becomes a ticket.

By the time the model runs, the decision window has closed.

Valuable insights sit in dashboards nobody has time to interpret.

80%
of analyst time spent preparing data,
not generating insights
"By the time we clean the data, build the model, and generate the report, the quarter is over and leadership has moved on."

Predictions on demand. In plain English.

Ask business questions. Get forecasts, trends, and recommendations without waiting for the data team.

Ask in Plain English

No SQL. No Python. Ask "What will churn look like next quarter?" and get an answer. The agent handles the technical complexity.

Instant Forecasting

Revenue projections, demand forecasts, trend analysis. Built and delivered in minutes, not weeks. Run scenarios on the fly.

Decision-Ready Output

Not raw data. Not technical reports. Clear visualizations and actionable recommendations your leadership team can use immediately.

Conversational data science

Four steps from question to actionable insight.

1

Ask Your Question

Natural language. No SQL required. "What are sales trends for Q3?"

2

Agent Retrieves Data

Database sub-agent writes and executes optimized queries across your warehouses.

3

Analysis & Modeling

DS agent analyzes patterns. ML agent builds predictive models if needed.

4

Visualized Insights

Results returned as charts, graphs, and plain-English summaries.

What this agent delivers

Enterprise-grade predictive analytics without the complexity.

Revenue & Demand Forecasting

Predict future revenue, customer demand, and resource needs with confidence intervals your finance team can trust.

Scenario Analysis

"What if we raise prices 10%?" Get instant modeling of business scenarios without waiting for analyst bandwidth.

Trend Detection

Surface emerging patterns in sales, operations, or customer behavior before they become obvious or problematic.

Churn & Risk Prediction

Identify at-risk customers, suppliers, or deals before you lose them. Prioritize intervention where it matters most.

Automated Visualization

Every answer comes with charts, graphs, and visual summaries ready for your next leadership presentation.

Cross-System Analysis

Combine data from your warehouse, CRM, and ERP in a single query. No manual data stitching required.

Connects to your data stack

Multi-database support with MCP connectors and built-in tools.

Built for rapid decision-making

Real-world applications across industries.

Finance

Revenue Forecasting

Predict quarterly revenue using historical transaction data. Ask "What's our Q4 forecast based on current trends?" and get ML-powered predictions with confidence intervals.

Manufacturing

Supply Chain Prediction

Forecast demand spikes and identify inventory imbalances before they become stockouts. Cross-reference ERP data with external signals.

Healthcare

Patient Flow Analysis

Analyze admission patterns, predict capacity constraints, and optimize resource allocation through natural language queries.

Accelerate the data-to-insight loop

Measurable results from day one.

10x
Faster insights
vs. manual workflow
80%
Reduction in
data prep time
Hours
Not weeks from
question to model
Zero
SQL expertise
required

From question to prediction in hours

The Data Science Agent is production-ready. See the multi-agent architecture running on your data stack.