For Technical Founders at Series A PLG SaaS
Connect your stack. Ask about your business. Explore the evidence behind metric changes.
Correlation and timing help investigate a change; they do not prove its cause.
The Problem
CEO / FOUNDER
Business data is spread across too many tools.
You ask your team for a simple metric. Three people give you three different numbers from three different dashboards. None of them are current.
Cost of Inaction
Manual reconciliation takes time away from decisions
VP SALES
Forecasts need context from billing and support.
Your CRM says one thing. Billing says another. Support tickets paint a different picture entirely. By the time you see the pattern, the customer is gone.
Cost of Inaction
Disconnected signals make changes harder to investigate
HEAD OF OPS
Keeping integrations and reports current takes work.
You spend your days copying data between systems, building brittle automations, and explaining why the numbers do not match.
Cost of Inaction
Data quality matters as much as the dashboard
The Solution
Choose a supported connector and authorize access to your SaaS data. Setup and initial sync time depend on the tool, permissions and data volume.
Ask about supported business metrics in natural language. The query engine routes the request, and explanations use the metric history available for your analysis.
Review detected anomalies and morning briefs as synced data accumulates. Use the findings to decide what to investigate next.
Universal Connectivity
Select a tool from 20+ pre-built connectors
Authenticate with OAuth or API key
AI maps your data schema automatically
Historical data backfill begins immediately
Real-time sync maintains freshness SLA
No code, no configuration files, no webhook setup. Point, click, connected.
When APIs change or tokens expire, our immune system detects and repairs automatically.
Need a connector we do not have? Our AI reads the API documentation and builds one.
We do not just copy data. We understand relationships across systems that humans miss.
“If it has an API, UltimateIntel can connect to it. If it does not, our AI will build the connector.”
Illustrative Product Preview
Sample data and interface illustration, not a customer result or measured prediction.
Morning Brief
Connected
Review support, usage and billing signals together. These sample observations suggest questions to investigate; they do not establish churn risk or its cause.
Support Response
+2.3 days avg
Usage Frequency
-34% last 30d
Invoice Status
2 overdue
Questions to Investigate
Science and Methodology
Pearson correlation compares date-aligned metric series.
Find metrics that move together. Correlation does not establish a cause.
PELT changepoint detection identifies shifts and compares their order.
A preceding change is a possible lead to investigate, not causal proof.
When enabled and data qualifies, compare changes with a statistical baseline.
Estimates depend on history, comparison data and assumptions; they may find no effect.
Graph discovery is not connected to customer-facing explanations.
No live graph-derived causal answers are claimed.
Compare supported metric series from connected tools to find co-movement.
Explanations report their analysis tier. Tier 3 also reports a causal or correlational label based on estimator checks, not a guarantee of causation.
Z-score analysis flags statistical outliers for review.
The explanation engine reports insufficient data when the requested metric lacks history. Available data and method assumptions limit what an explanation can establish.
Security · Data Handling
Every day without cross-system intelligence is a day your competitors see patterns you miss, prevent churn you cannot predict, and make decisions with evidence you do not have.
For Founders
Bring billing, CRM and support signals into one place to investigate changes. Start with the data you have, and review what it can and cannot tell you.
Use plain English to explore supported metrics across your connected tools. Review the available data and analysis behind the response.
Connect with a restricted API key to sync billing records. Recurring revenue normalization currently supports USD licensed, fixed per-unit prices; non-USD, mixed-currency, metered, tiered or incomplete prices are reported as unsupported. This is not accounting reconciliation or Stripe reporting parity.
Receive a summary of available metrics, detected anomalies and suggested follow-up questions. Delivery depends on your configuration and synced data.
Explore questions such as "Why did MRR change?" with correlation and temporal analysis. An observed pattern is a lead to investigate, not proof of a cause.
Pricing
No upfront commitment. The Founder tier is free forever — you pay $0.10 per query, nothing else.
Founder
$0 + $0.10/query
Pay per query3 connectors
Most popular for founders. Start free, pay only for what you use.
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$999
10,00010 connectors
For teams ready to go deeper across their stack
Business
$2,499
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For growing organizations that need cross-system intelligence
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$4,999
50,000Unlimited connectors
For enterprises requiring autonomous intelligence operations
Strategic
Custom
UnlimitedUnlimited systems
For organizations with unique intelligence requirements