Neadl

NEURAL ENGINE FOR ANOMALY DETECTION & LEARNING

Let the dataspeak for itself.

Fully automated analytics and data science that helps you understand behaviour, uncover relationships, detect anomalies and act on what matters.

Data Agnostic Capability

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

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

This makes the Neadl offering unique: data science-led anomaly detection across diverse datasets without manual configuration or data cleansing. Just upload and run.

Data-agnostic analysis

Multiple sources. One automated workflow.

Automated
Financial
Operational
People
Environmental
Cyber
Commercial
Supply chainComplianceGovernanceMarketing

Upload & Run

Neadl in the haystack

Discover data-led anomalies. Uncover error and fraud.

Neadl crunches through millions of lines of data in minutes to reveal behaviour that deserves closer investigation.

That might be an unusual record, an unexpected distribution, a rare pairing of values, or a combination that breaks a wider trend.

Neadl does not only tell you which records are unusual. It helps you understand how the data behaves and where that behaviour breaks expectation.

Every Record Analysed

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

Every Record Scored

Records are scored and ranked from most anomalous to least anomalous, helping reviewers focus their attention.

Rare Combinations Surfaced

Advanced statistical calculations reveal pairings that are unusually rare or unexpectedly common.

Relationships Revealed

Neadl unlocks hidden dependencies within your dataset, surfacing the individual records that contradict the trend.

Data Explorer

See your data.Understand its behaviour.

Seeing what your data contains and how it behaves should be straightforward. Neadl automatically creates clear, intelligently designed and repeatable views of every field, without requiring anyone to build charts, learn specialist tools or start again when the data changes.

Fully automated

No dashboards, charts or analytical views to configure.

Built for business users

Understand the data without specialist tools or data expertise.

Consistent every time

Repeatable, code-defined views whenever the dataset is updated.

No charts to build. No specialist tools to learn. Just a clear view of your data.

Provider Parent Name

Text

123%

Distinct

36

Records

141,775
Rotate your phoneto see the full visual

Data source - NHS England - Consultant-led referral to treatment waiting times, June 2026

Relationship Explorer

What looks ordinary alone can be unusual together.

Neadl measures how fields and values behave in combination, comparing what actually occurs with what would be statistically expected.

By combining association analysis with statistical correlation tests, Neadl surfaces unusual populations and significant business patterns that conventional single-field analysis can miss.

The anomaly is often not the value.

It is the relationship.

Relationship analysis

Sales Total × Number of Items

Positive trend
Show Observed
Number of Items
Sales Total
Negative125 · 0.1%
Zero948 · 0.6%
Low Region145,811 · 92.3%
Middle Region10,449 · 6.6%
High Region565 · 0.4%
High Region745 · 0.5%
0Exp. 0.59
0Exp. 4.47
90Exp. 68.97
358Exp. 49.3
297Exp. 2.67
Middle Region9,881 · 6.3%
0Exp. 7.82
0Exp. 59.32
4,452Exp. 9,124.62
5,174Exp. 653.88
255Exp. 35.36
Low Region144,888 · 91.8%
2Exp. 114.7
711Exp. 869.89
139,265Exp. 133,796.91
4,898Exp. 9,588.06
12Exp. 518.45
Zero2,231 · 1.4%
3Exp. 1.77
205Exp. 13.39
2,003Exp. 2,060.02
19Exp. 147.64
1Exp. 7.98
Negative153 · 0.1%
120Exp. 0.12
32Exp. 0.92
1Exp. 141.29
0Exp. 10.12
0Exp. 0.55
Moderate Relationship|+0.50PositiveWeighted SpearmanOrdered × Ordered
Rotate your phoneto see the full visual

Data source - UK grocery store - Till transactional data

Context changes the signal

An ordinary value can become significant when it appears alongside something unexpected.

Observed versus expected

See whether each combination occurs as often as the wider distribution suggests it should.

From pattern to population

Move directly from an unusual pairing to the exact records responsible for it.

Anomaly Explorer

Your data defines normal. Neadl finds what breaks it.

Neadl uses unsupervised machine learning to identify behavioural anomalies in your data.

It learns how your data typically behaves, then ranks the records that depart most strongly from it. It does this without labelled examples, hand-built detection rules, externally prescribed expectations or the human bias they introduce.

Neadl InfluenceTM is our proprietary explainability algorithm. It shows which field values contributed most to each result, turning an anomaly score into evidence users can understand and investigate.

Data-led by design

Expected behaviour comes from the dataset, not predefined scenarios.

The whole record matters

Relevant fields are assessed together, not as isolated thresholds.

Influence makes it explainable

See the values contributing most strongly to every result.

Anomalies defined by your data. Explained by Neadl. Ready to investigate.

Anomalies Across Full DatasetAnomalies within Expectation Groups
⌃   Hide994 records
Highly Anomalous1 · 0.10%
Anomalous27 · 2.72%
Slightly Unusual253 · 25.45%
Normal713 · 71.73%
Chosen Expectation Group:Restaurant NameChange Expectation Group Re-Run Expectation Group ModelShow EG Run Details
Anomalies within Expectation GroupsShowing 100
Export Preview to ExcelShow Rankings
Neadl IDRestaurant NameExpectation GroupAnomaly ScoreWithin Expectation GroupMax InfluenceWithin Expectation GroupHigh Influence CountWithin Expectation Group
34Santi's PizzeriaHighly Anomalous−0.20424.414
3AppetiteAnomalous−0.19713.852
636SignorelliAnomalous−0.18183.871
11Domino'sAnomalous−0.15144.493
Rotate your phoneto see the full visual

Review List

Turn discovery into structured review.

Neadl does not stop at insight. It gives teams a structured way to capture, investigate and progress what they find.

With Review List, teams can raise findings, discuss them, track their status and close them out. The full conversation history and activity log are retained, supporting control documentation and audit evidence.

Capture without breaking your flow

Add noteworthy records and analytical selections to Review List while you continue exploring.

Progress the work

Classify Review Points and move them through Open, In Review, Resolved, or Dismissed states.

Keep the context

Preserve the source analysis, record snapshot, notes, comments, and activity behind each Review Point.

Review by task or record

Manage individual findings or see the source record and its connected review work together.

Relationship Records

TRANSACTION_AMT: Zero→MEMO_TEXT: MissingExtremely Rare

4 observed · 249.75 expected · 0.02×

neadl_idCMTE_IDCOMMITTEENAMECITYSTATEZIP_CODETRANSACTION_DTTRANSACTION_AMTPURPOSECATEGORY_DESCMEMO_TEXTENTITY_TP
130406C00731950THE WATERS COMMITTEENATION BUILDERLOS ANGELESCA9007112/30/20190WEB PLATFORMSolicitation and Fundraising Expenses[ MISSING ][ MISSING ]
130407C00731950THE WATERS COMMITTEEBRAD MARSTONBOSTONMA210812/13/20190WEB DESIGNSolicitation and Fundraising Expenses[ MISSING ][ MISSING ]
61645C00698753ALLEN THOMAS FOR CONGRESSWCTI TVNEW BERNNC28560281504/26/20190TV ADVERTISING[ MISSING ][ MISSING ]ORG
61626C00698753ALLEN THOMAS FOR CONGRESSWNCT TVGREENVILLENC27834692804/26/20190TV ADVERTISING[ MISSING ][ MISSING ]ORG
Showing 1–4 of 4 matching records
Rotate your phoneto see the full visual
Alex Morgan

Data source · Federal Election Commission (FEC) · Campaign operating expenditures

Fully automated intelligence

Just upload.And run.

Neadl prepares, profiles, transforms and models your dataset automatically. All from a single click.

No manual pre-work. No manual model preparation. No labelled examples. No rules to build or maintain.

Make yourself a coffee. Come back ready to review the results.

Nothing to configure.

Once the run begins, Neadl handles every stage automatically.

Automated run

customer_orders_Aug26.xlsx

Complete
Prepare Your Data1 of 4

Detects format, delimiter, encoding and headers

Understand Every Field2 of 4

Classifies dates, numbers, IDs, categories, text and more

Make It Model-Ready3 of 4

Transforms source values into model-ready representations

Run the Data Science4 of 4

Applies mathematics, statistics and machine learning

Understand. Discover. Detect. Review.

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

Deterministic methodology

Academic methods. Auditable logic.Evidence you can trust.

Neadl combines mathematics, statistics, unsupervised machine learning, and repeatable code-defined methods across data profiling, relationship analysis, anomaly detection, and explanation.

Academic methods

Mathematics, statistics, and conventional machine learning provide the analytical foundations.

Auditable logic

Repeatable, code-defined methods govern data profiling, relationship analysis & anomaly detection.

Evidence you can trust

Grounded in rules-based methodology, Neadl is designed to produce repeatable, explainable results you can review with confidence.

No Generative AI is used at any point across the Neadl platform. It is fully deterministic and auditable.

The intelligence is built into the logic, not outsourced to an LLM.

Questions and answers

FAQ

Neadl analyses structured, tabular datasets. It profiles individual fields, measures distributions and relationships, ranks unusual records, and produces evidence that users can investigate through the product.

Early access

Find what matters in your data.

Ready to tackle that Haystack?

Neadl is currently accepting a limited number of early-access teams.

Join the waitlist below to stay up to date with Neadl News and be first in line to join our next wave of anomaly finders.

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