AI Outlier Detection Agent
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.
Why V7 Go
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.
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.
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.
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.
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.
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.
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.
Why V7 Go
Analyzes massive datasets and document archives
To find the critical few data points that matter.
Workflow
Workflow
Import your files
Snowflake
,
Databricks
,
SharePoint
Time comparison
Time comparison
Time comparison
Time comparison
Traditional way
Days of manual searching
Days of manual searching
With V7 Go agents
Minutes (automated)
Minutes (automated)
Average time saved
99%
99%
V7 Go
V7 Go
V7 Go
V7 Go
Find the signals in the noise.
Automate your search for what's different.
Your most critical risks and valuable opportunities are hidden in the outliers of your data, but finding them is like searching for a needle in a haystack. Analysts manually scan through millions of data points in spreadsheets and reports, relying on gut feel and time-consuming spot-checks to find anomalies. This manual process is slow, inconsistent, and guarantees that significant outliers—from fraudulent transactions to contrarian investment signals—are constantly missed. For the tasks you don't enjoy, like sifting through data, there's V7 Go.
Investment & Research Teams
Systematize your search for alpha. Let an AI agent tirelessly scan the market for the contrarian opinions, under-the-radar companies, and unusual data points that lead to differentiated investment ideas.
Investment & Research Teams
Systematize your search for alpha. Let an AI agent tirelessly scan the market for the contrarian opinions, under-the-radar companies, and unusual data points that lead to differentiated investment ideas.
Investment & Research Teams
Systematize your search for alpha. Let an AI agent tirelessly scan the market for the contrarian opinions, under-the-radar companies, and unusual data points that lead to differentiated investment ideas.
Investment & Research Teams
Systematize your search for alpha. Let an AI agent tirelessly scan the market for the contrarian opinions, under-the-radar companies, and unusual data points that lead to differentiated investment ideas.
Risk, Compliance & Audit
Move from reactive investigations to proactive monitoring. Use the agent to continuously scan transactions and documents for anomalies that could indicate fraud, non-compliance, or internal control weaknesses.
Risk, Compliance & Audit
Move from reactive investigations to proactive monitoring. Use the agent to continuously scan transactions and documents for anomalies that could indicate fraud, non-compliance, or internal control weaknesses.
Risk, Compliance & Audit
Move from reactive investigations to proactive monitoring. Use the agent to continuously scan transactions and documents for anomalies that could indicate fraud, non-compliance, or internal control weaknesses.
Risk, Compliance & Audit
Move from reactive investigations to proactive monitoring. Use the agent to continuously scan transactions and documents for anomalies that could indicate fraud, non-compliance, or internal control weaknesses.
More automations
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RFI Automation
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AI RFI Response Generation Agent
Accelerate your sales cycle by automating RFI responses. This V7 Go agent uses your internal knowledge base to instantly draft accurate answers to prospect questionnaires.
RFI Automation
Automated Response Generation
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Accelerate your sales cycle by automating RFI responses. This V7 Go agent uses your internal knowledge base to instantly draft accurate answers to prospect questionnaires.
RFI Automation
Automated Response Generation
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Accelerate your sales cycle by automating RFI responses. This V7 Go agent uses your internal knowledge base to instantly draft accurate answers to prospect questionnaires.
RFI Automation
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Automate the analysis and consolidation of all your internal risk reports. This V7 Go agent reads audit, compliance, and incident reports to create a unified risk summary.
Risk Report Consolidation
Automated Risk Summarization
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AI Risk Report Analysis Agent
Automate the analysis and consolidation of all your internal risk reports. This V7 Go agent reads audit, compliance, and incident reports to create a unified risk summary.
Risk Report Consolidation
Automated Risk Summarization
Enterprise Risk Management
Business
AI Risk Report Analysis Agent
Automate the analysis and consolidation of all your internal risk reports. This V7 Go agent reads audit, compliance, and incident reports to create a unified risk summary.
Risk Report Consolidation
Automated Risk Summarization
Enterprise Risk Management
Business
AI Risk Report Analysis Agent
Automate the analysis and consolidation of all your internal risk reports. This V7 Go agent reads audit, compliance, and incident reports to create a unified risk summary.
Risk Report Consolidation
Automated Risk Summarization
Enterprise Risk Management
Welcome Go
Welcome Go
Welcome Go
Welcome Go
Find the exceptions that prove the rule
Find the exceptions that prove the rule
Find the exceptions that prove the rule
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
FAQ
FAQ
FAQ
FAQ
Have questions?
Find answers.
What kind of data can this agent analyze for outliers?
It's designed to work with both structured and unstructured data. It can find statistical outliers in numerical datasets (like transaction logs or financial data) and contextual outliers in text-based document sets (like contracts or reports).
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What kind of data can this agent analyze for outliers?
It's designed to work with both structured and unstructured data. It can find statistical outliers in numerical datasets (like transaction logs or financial data) and contextual outliers in text-based document sets (like contracts or reports).
+
What kind of data can this agent analyze for outliers?
It's designed to work with both structured and unstructured data. It can find statistical outliers in numerical datasets (like transaction logs or financial data) and contextual outliers in text-based document sets (like contracts or reports).
+
What kind of data can this agent analyze for outliers?
It's designed to work with both structured and unstructured data. It can find statistical outliers in numerical datasets (like transaction logs or financial data) and contextual outliers in text-based document sets (like contracts or reports).
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How do we define the 'normal' pattern for it to detect deviations?
You have options. You can provide a set of 'golden standard' documents or a baseline period of data for the agent to learn from. Alternatively, you can define explicit rules and thresholds that constitute an anomaly for your business.
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How do we define the 'normal' pattern for it to detect deviations?
You have options. You can provide a set of 'golden standard' documents or a baseline period of data for the agent to learn from. Alternatively, you can define explicit rules and thresholds that constitute an anomaly for your business.
+
How do we define the 'normal' pattern for it to detect deviations?
You have options. You can provide a set of 'golden standard' documents or a baseline period of data for the agent to learn from. Alternatively, you can define explicit rules and thresholds that constitute an anomaly for your business.
+
How do we define the 'normal' pattern for it to detect deviations?
You have options. You can provide a set of 'golden standard' documents or a baseline period of data for the agent to learn from. Alternatively, you can define explicit rules and thresholds that constitute an anomaly for your business.
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How is this different from the 'Contrarian Analysis Agent'?
This agent is the engine that finds the raw outlier data. The Contrarian Analysis Agent is a more sophisticated workflow that takes those outliers and synthesizes them into a coherent argument or alternative investment thesis. This agent finds the needle; the other explains why the needle is important.
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How is this different from the 'Contrarian Analysis Agent'?
This agent is the engine that finds the raw outlier data. The Contrarian Analysis Agent is a more sophisticated workflow that takes those outliers and synthesizes them into a coherent argument or alternative investment thesis. This agent finds the needle; the other explains why the needle is important.
+
How is this different from the 'Contrarian Analysis Agent'?
This agent is the engine that finds the raw outlier data. The Contrarian Analysis Agent is a more sophisticated workflow that takes those outliers and synthesizes them into a coherent argument or alternative investment thesis. This agent finds the needle; the other explains why the needle is important.
+
How is this different from the 'Contrarian Analysis Agent'?
This agent is the engine that finds the raw outlier data. The Contrarian Analysis Agent is a more sophisticated workflow that takes those outliers and synthesizes them into a coherent argument or alternative investment thesis. This agent finds the needle; the other explains why the needle is important.
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Can it run in real-time to detect anomalies as they happen?
Yes. The agent can be configured to monitor a live data stream or a folder of incoming documents, applying its detection models in near real-time to provide immediate alerts on new anomalies.
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Can it run in real-time to detect anomalies as they happen?
Yes. The agent can be configured to monitor a live data stream or a folder of incoming documents, applying its detection models in near real-time to provide immediate alerts on new anomalies.
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Can it run in real-time to detect anomalies as they happen?
Yes. The agent can be configured to monitor a live data stream or a folder of incoming documents, applying its detection models in near real-time to provide immediate alerts on new anomalies.
+
Can it run in real-time to detect anomalies as they happen?
Yes. The agent can be configured to monitor a live data stream or a folder of incoming documents, applying its detection models in near real-time to provide immediate alerts on new anomalies.
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Does it explain why something is an outlier?
Yes. The output report not only flags the outlier but also provides the context. It will show you the anomalous data point alongside the baseline or peer group data, making it immediately obvious why it was flagged.
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Does it explain why something is an outlier?
Yes. The output report not only flags the outlier but also provides the context. It will show you the anomalous data point alongside the baseline or peer group data, making it immediately obvious why it was flagged.
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Does it explain why something is an outlier?
Yes. The output report not only flags the outlier but also provides the context. It will show you the anomalous data point alongside the baseline or peer group data, making it immediately obvious why it was flagged.
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Does it explain why something is an outlier?
Yes. The output report not only flags the outlier but also provides the context. It will show you the anomalous data point alongside the baseline or peer group data, making it immediately obvious why it was flagged.
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Is this only for finding negative things, like fraud?
Not at all. Outliers can be positive too. It's equally powerful for finding positive signals, such as a sales region that is dramatically outperforming its peers or a portfolio company with unusually high margin potential.
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Is this only for finding negative things, like fraud?
Not at all. Outliers can be positive too. It's equally powerful for finding positive signals, such as a sales region that is dramatically outperforming its peers or a portfolio company with unusually high margin potential.
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Is this only for finding negative things, like fraud?
Not at all. Outliers can be positive too. It's equally powerful for finding positive signals, such as a sales region that is dramatically outperforming its peers or a portfolio company with unusually high margin potential.
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Is this only for finding negative things, like fraud?
Not at all. Outliers can be positive too. It's equally powerful for finding positive signals, such as a sales region that is dramatically outperforming its peers or a portfolio company with unusually high margin potential.
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