Surface critical risks & opportunities

AI Outlier Detection Agent

AI Outlier Detection Agent

AI Outlier Detection Agent

Find the exceptions that prove the rule

Find the exceptions that prove the rule

Find the exceptions that prove the rule

Delegate the search for anomalies to a specialized AI agent. It analyzes massive datasets and document repositories to automatically surface the critical outliers—from fraudulent claims and contrarian opinions to non-standard contract clauses—that require your expert attention.

Ideal for

Risk & Compliance

Investment Teams

Data Science

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See AI Outlier Detection Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Outlier Detection Agent in action

Play video

Contrarian Analyst Screen

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Outlier Detection Agent in action

Play video

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Time comparison

Traditional way

Days of manual searching

With V7 Go agents

Minutes (automated)

Average time saved

99%

Why V7 Go

Statistical Anomaly Detection

Applies statistical models to your numerical data to automatically identify and flag data points that deviate significantly from the norm, such as unusual spikes in expenses or fraudulent transactions.

Statistical Anomaly Detection

Applies statistical models to your numerical data to automatically identify and flag data points that deviate significantly from the norm, such as unusual spikes in expenses or fraudulent transactions.

Unstructured Text Outlier Analysis

Goes beyond numbers to find outliers in text. It can find a non-standard clause in a portfolio of contracts or a contrarian analyst opinion in a library of research reports.

Unstructured Text Outlier Analysis

Goes beyond numbers to find outliers in text. It can find a non-standard clause in a portfolio of contracts or a contrarian analyst opinion in a library of research reports.

Customizable Rule-Based Alerts

Define what constitutes an 'outlier' for your business. The agent uses your custom rules and thresholds to scan for the specific exceptions that matter to your strategy.

Customizable Rule-Based Alerts

Define what constitutes an 'outlier' for your business. The agent uses your custom rules and thresholds to scan for the specific exceptions that matter to your strategy.

Predictive Anomaly Detection

Learns the normal patterns of behavior in your time-series data and can proactively flag deviations from that pattern as they happen, providing an early warning system for potential issues.

Predictive Anomaly Detection

Learns the normal patterns of behavior in your time-series data and can proactively flag deviations from that pattern as they happen, providing an early warning system for potential issues.

Reduces Alert Fatigue

Uses AI reasoning to filter out noise and false positives, ensuring that the anomalies it surfaces are statistically significant and worthy of your team's expert review.

Reduces Alert Fatigue

Uses AI reasoning to filter out noise and false positives, ensuring that the anomalies it surfaces are statistically significant and worthy of your team's expert review.

Actionable & Cited Exception Reports

Delivers a clean, prioritized list of all identified outliers. Each finding is supported by the underlying data and a visual citation linking back to the source document.

Actionable & Cited Exception Reports

Delivers a clean, prioritized list of all identified outliers. Each finding is supported by the underlying data and a visual citation linking back to the source document.

Analyzes massive datasets and document archives

To find the critical few data points that matter.

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Analyzes any dataset, structured or not.

Text, numbers, and everything in between.

This agent is built to find outliers wherever they hide. It analyzes numerical data in your databases and spreadsheets, and contextual outliers in your unstructured documents like contracts, reports, and news articles.

Input types

Databases

Unstructured Text

Time-Series Data

Multi-modal

Document types

Spreadsheets

PDFs

Transaction Logs

Contracts

APIs

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Analyzes any dataset, structured or not.

Text, numbers, and everything in between.

This agent is built to find outliers wherever they hide. It analyzes numerical data in your databases and spreadsheets, and contextual outliers in your unstructured documents like contracts, reports, and news articles.

Input types

Databases

Unstructured Text

Time-Series Data

Multi-modal

Document types

Spreadsheets

PDFs

Transaction Logs

Contracts

APIs

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy

with AI reasoning.

To avoid alert fatigue, the agent uses AI reasoning and your custom rules to accurately distinguish between a true, meaningful anomaly and simple statistical noise, ensuring your team only reviews the outliers that matter.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Achieve near-perfect accuracy

with AI reasoning.

To avoid alert fatigue, the agent uses AI reasoning and your custom rules to accurately distinguish between a true, meaningful anomaly and simple statistical noise, ensuring your team only reviews the outliers that matter.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in your documents.

Every flagged outlier is fully defensible and easy to investigate. The agent provides a visual citation that shows you the exact data point or text passage in the source document, along with the context for why it was flagged.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in your documents.

Every flagged outlier is fully defensible and easy to investigate. The agent provides a visual citation that shows you the exact data point or text passage in the source document, along with the context for why it was flagged.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise-grade security

for sensitive financial data.

Your transactional and business data is highly confidential. V7 Go is built to protect it, processing and analyzing all your sensitive information within your secure, private environment.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive financial data.

Your transactional and business data is highly confidential. V7 Go is built to protect it, processing and analyzing all your sensitive information within your secure, private environment.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.