KEPt Knowledge
Financial research, systematized

Company analysis that starts finished.

Turn public-company data into standardized financial analysis, peer benchmarks, signals, and editable presentation-ready work product — in under 2 minutes.

45,000+ public companies across global markets
Research infrastructure

Built to remove repetitive analyst work, not replace judgment.

45,000+ Public companies
100+ Calculated metrics
6 Peer dimensions
< 2 mins To editable output
How it works

From ticker to usable research.

KEPt handles the repetitive work between identifying a company and having something you can actually analyze, edit, or present.

01

Choose the company

Search publicly traded companies across major global markets and select the business you want to analyze.

02

KEPt builds the analysis

Financial data is processed, metrics are calculated, peer groups benchmarked, and analytical signals evaluated through a consistent framework.

03

Use the work product

Download editable presentation-ready output and review, customize, compare, or incorporate it into your own work.

What KEPt builds

One company. Multiple analytical lenses.

KEPt turns raw public-company data into a standardized research profile designed to help you understand performance, positioning, risk, and trajectory without rebuilding the analysis every time.

01
Financial performance

Statements become usable analysis.

Revenue, profitability, cash flow, leverage, liquidity, efficiency and growth metrics are calculated through a consistent framework.

02
Returns & margins

Understand what drives performance.

DuPont decomposition, operating margins and profitability diagnostics help separate outcomes from underlying drivers.

03
Statistical signals

Surface what deserves attention.

Z-scores, percentiles, outliers, trend behavior and other signals help distinguish ordinary variation from meaningful differences.

04
Forecasting

Extend the historical picture forward.

Deterministic forecast models combine company trajectory, volatility controls and peer context.

05
Executive synthesis

Bring the signals together.

Strengths, weaknesses, watch items and overall profile summaries convert dozens of metrics into a coherent closing view.

Why it matters

The work analysts repeat shouldn't need to be repeated.

Research quality usually improves with more time, more metrics, and more peer context. KEPt changes that tradeoff by standardizing the repetitive work before the analyst starts interpreting it.

Traditional

Comparable company analysis

Coverage 3–5 companies
Analysis Selected metrics
Peer context Usually one comparable set
Output Custom presentation
Typical effort Hours
Traditional

Deep analysis

Coverage Broader peer set
Analysis Dozens of metrics
Peer context Normalized comparisons
Output Presentation-ready
Typical effort Much of a working day
KEPt Knowledge

Standardized research

Coverage 45,000+ companies
Analysis 100+ metrics
Peer context 6 dimensions
Output Editable PowerPoint & PDF
Generation Under 2 minutes
Built for repeat research

For teams that analyze public companies again and again.

KEPt is most valuable where the same financial research workflow keeps recurring across companies, clients, targets, or decisions.

01

Investment Research

Screen, compare and understand companies with standardized financial metrics, peer positioning and trend analysis.

Investors
02

Competitive Intelligence

Benchmark your business, clients or competitors across operating performance, returns, margins and financial positioning.

Strategy
03

M&A & Due Diligence

Establish a structured first view of targets before deeper diligence, including financial quality and peer context.

Transactions
04

Client & Executive Presentations

Start with professionally formatted, editable work product rather than rebuilding charts and tables from scratch.

Advisory
Want to see it on a company you know? Use a familiar company and judge the output yourself.
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Questions & methodology

Built to be understood, not treated like a black box.

KEPt standardizes the repetitive parts of company research while keeping the underlying analysis transparent and the final work product editable.

Deterministic analytics Financial calculations, benchmarks, scoring, statistical signals, and forecasts follow defined analytical rules rather than free-form AI generation.
See KEPt in action

Start with a company you already know.

Choose a public company relevant to your work and see how KEPt turns the data into standardized financial analysis, peer benchmarks, analytical signals, and editable presentation-ready output.

45,000+ public companies Editable output Defined analytical methodology
GET STARTED

Request access or a demo

KEPt
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