Neural Engine for Anomaly Detection & Learning

Let the dataspeak for itself.

Neadl learns the behavioural patterns present in your dataset,bringing the most unusual records into focus, without the need formanual setup or predefined rules.

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Test 1

Within Expectation Groups

Contextual anomalies - Neadl learns typical data patterns within each Expectation Group and flags records that behave unusually.

Test Results

332,077 records

Behaving as Expected

98.14%

325,892 / 332,077 records

Records classified as Normal or Slightly Unusual are considered to be behaving as expected.

Highly Anomalous

110records

0.03%

These records deviate significantly from expected behaviour.

Anomalous

6,075records

1.83%

These records have notable, but not significant, deviation from expected behaviour.

NEADL IN THE HAYSTACK

DISCOVER data-led anomalies. UNCOVER error and fraud.

Neadl crunches through millions of lines of data in minutes, and tells you exactly which individual records are objectively the most 'unusual' and why.

This revolutionises Risk & Control for large enterprises, enabling businesses to identify and act upon individual instances of potential error and fraud - finding that Neadl in the Haystack.

100% COVERAGE

Every Record Analysed

No sampling. No manual selection, filtering or tagging. Neadl uses all rows, all columns, letting the data speak for itself.

FULLY RANKED

Every Record Scored

Records are individually scored and ranked from most anomalous to least anomalous, allowing you to focus on the risk.

Shared mission

Four Lines of Defence.
One Problem.

From management and risk teams, to internal and external audit, every control function is trying to answer the same question:

What is unusual, risky, and needs investigating?

Neadl answers this question directly, at scale, with clarity.

Lines of defence

One Solution to Strengthen all lines

Management

Risk & Control

Internal Audit

External Audit

Lines of Defence

DATASET AGNOSTIC

If you have the data, Neadl will find the anomalies.

Neadl is not limited to specific datasets, nor does it require specific data columns.

Neadl surfaces unusual records across any and every dataset, whether that be financial, operational, people, environmental, cyber and beyond.

This means you can analyse data from across your existing business systems, including extracts from SAP, Oracle, Xero, Workday and all other ERPs.

WORKFLOW COMPLETE

Save as CSV, TXT or Excel

Upload to your Workspace

Start Neadling

ExpensesPayrollProcurementJournal entriesClaimsTransactionsVendor paymentsCredit cardsTravel bookingsPurchase ordersInvoicesTimesheetsInventoryRefundsGrantsDonationsGHG emissions reportsEmployee wellbeing surveysOffice attendance logsTill receiptsPhishing training resultsVendor master filesExpense claimsJournals

Dataset preview

Explore with Explanation.No 'Black Box' Analytics.

Inspect every anomaly in context with distribution overlays, simple statistical measures, and plain-language insights. Allowing you to understand exactly why a record is anomalous.

Distribution Unit Price

Population New York (City)

No. of Global Records 52,704

Highlighted value: 69.20

---- Global reference

Highlighted value69.20

Unit Price range$67.50 - $70.00

No. records4

non-blank New York records<0.1%

No. global records142

non-blank global records0.3%

Neadl Insights

The selected anomaly is 1 of 4 records for City "New York", where the Unit Price value falls between $67.50 and $70.00.

This equates to 0.05% of the Expectation Group.

Globally, there are 142 records, where the Unit Price falls between "$67.50 - $70.00", which equates to 0.3%.

Bucket Detail

$67.50 - $70.00Exact values

67.80

67.50

68.20

67.60

69.20

1 record

12 records

69.20

67.70

69.40

67.90

68.00

68.40

68.50

68.60

68.70

68.90

69.30

69.60

69.70

69.80

Behind the scenes

6 automated steps. Transform raw data into an actionable anomaly report.

LOAD

Data Ingestion

Neadl reads the file you already have, understands its structure, and prepares a clean dataset for analysis.

CLASSIFY

Data Profiling

Every field is profiled so Neadl understands what each column represents and how it should be treated.

ENCODE

Model Readiness

The dataset is translated into a model-ready form while preserving the connection back to the original records.

SELECTION

Expectation Setting

Neadl identifies the right Expectation Group, so each record is compared against the context that matters.

MODEL

Anomaly Scoring

Multiple anomaly signals are combined to rank the records most likely to deserve investigation.

EXPLORE

Exploration

The final report explains what is unusual, why it matters, and where to focus the review.

SELF-SERVICE INTELLIGENCE

Institutional-grade data science.Without the Data Science Team.Ready in minutes.

Neadl empowers you - the people on the front line, the people in the business - to analyse your own data, yourself. No need to rely on data specialists. The power is in your hands.

Why this matters:

Neadl achieves this through intelligent application ofacademic theory + industry expertise- - -Processes that typically require significant specialist time, includingdata cleansing, classification, modelling, explainability & visualisation,are fully automated, end-to-end.

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FAQ

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