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Uncover Strategic Insights
with Deep Research

LayerNext Deep Research agents run hypothesis-driven analysis across structured and unstructured data to uncover hidden risks, root causes, and growth opportunities.

AI that answers the why

Most tools stop at "what happened." LayerNext Deep Research Agent goes further to uncover why it happened. Our Root Cause Analysis agents run multiple hypothesis-based analyses across your data by testing patterns, relationships, and breakdowns across time, product, geography, or customer segment.

  • Form hypotheses
  • Run step-by-step analysis with deep thinking
  • Look for supporting or contradicting data
  • Create final comprehensive report with data references and citations
Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.
Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.

AI that recommends what to do next

LayerNext doesn’t just explain the past it helps you plan the future. Our Strategic Planning agent allows decision-makers to ask outcome oriented questions like; “What should I do to increase revenue by 10%” or “Which levers can I pull to improve gross margin?”

  • Quantitative reasoning (how and why it works).
  • Supporting data sources and metrics.
  • Confidence level based on historical patterns.
  • Potential trade-offs and unintended consequences.

Deep Research use cases

LayerNext Deep Research agent is designed to help business teams and analysts find answers for complex business problems that otherwise takes days or weeks with manual work. The agent does the majority of the work and the human is still in the control seat to verify the final outcome.

KPI Movement Analysis

Uncover root causes behind drops or spikes in revenue, churn, margin, or usage

Executive Planning

Simulate different strategies to hit business goals like revenue or retention

Executive Planning

Identify operational risks, outliers, or behavioral anomalies across systems

GTM Optimization

Analyze performance by region, channel, or segment and simulate adjustments

Board-Ready Briefings

Generate presentation-ready summaries with key insights and supporting data

Portfolio / Business Unit Analysis

Compare performance across brands or teams and uncover hidden inefficiencies

Why LayerNext Deep Research?

LayerNext Deep Research agent is designed to help business teams and analysts find answers for complex business problems that otherwise takes days or weeks with manual work. The agent does the majority of the work and the human is still in the control seat to verify the final outcome.

Root cause analysis

AI agents recursively ask why to uncover hidden drivers behind business changes.

Strategy simulations

Models different actions and estimates business impact based on historical patterns.

Hypothesis-based reasoning

AI agents generate, test, and validate micro-hypotheses across datasets.

Automated insight reports

Delivers concise reports with insights, reasoning, and links to supporting data.

Structured + unstructured


Processes tables, PDFs, emails, and notes to extract meaningful business signals.

Multi-source scanning

Analyzes patterns across CRMs, ERPs, BI tools, and internal document systems.

Ready To Use AI In Your Organization?

The wait for reports from sales, marketing, or accounting that used to take weeks is over. Simply ask any question in plain English and create the reports on your own.

Start for free