85% fewer false positives

AI agent for Compliance Officers

Detect real risks, not just keywords

Delegate surveillance monitoring to a specialized AI agent that understands context and intent. It analyzes communications and trading activity to identify genuine compliance risks, flagging suspicious patterns while filtering out false positives that waste your team's time.

Ideal for

Compliance Teams

Risk Management

Surveillance Officers

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    Foobar logo
    ABL logo
    Mercedes-Benz logo
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    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
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See AI agent for Compliance Officers in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Compliance Officers in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Compliance Officers in action

Play video

Daily Surveillance Review

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI agent for Compliance Officers in action

Play video

Time comparison

Time comparison

Traditional way

40-60 hours per week

With V7 Go agents

6-8 hours per week

Average time saved

85%

Why V7 Go

Why V7 Go

Semantic Intent Detection

Analyzes the meaning and context of communications, not just keywords. Understands euphemisms, coded language, and implicit references that traditional systems miss.

Semantic Intent Detection

Analyzes the meaning and context of communications, not just keywords. Understands euphemisms, coded language, and implicit references that traditional systems miss.

Semantic Intent Detection

Analyzes the meaning and context of communications, not just keywords. Understands euphemisms, coded language, and implicit references that traditional systems miss.

Semantic Intent Detection

Analyzes the meaning and context of communications, not just keywords. Understands euphemisms, coded language, and implicit references that traditional systems miss.

Cross-Channel Correlation

Links communications across email, chat, voice transcripts, and trading logs to identify patterns that span multiple channels and timeframes.

Cross-Channel Correlation

Links communications across email, chat, voice transcripts, and trading logs to identify patterns that span multiple channels and timeframes.

Cross-Channel Correlation

Links communications across email, chat, voice transcripts, and trading logs to identify patterns that span multiple channels and timeframes.

Cross-Channel Correlation

Links communications across email, chat, voice transcripts, and trading logs to identify patterns that span multiple channels and timeframes.

Behavioral Pattern Recognition

Identifies unusual communication patterns, timing anomalies, and deviations from normal behavior that may indicate suspicious activity.

Behavioral Pattern Recognition

Identifies unusual communication patterns, timing anomalies, and deviations from normal behavior that may indicate suspicious activity.

Behavioral Pattern Recognition

Identifies unusual communication patterns, timing anomalies, and deviations from normal behavior that may indicate suspicious activity.

Behavioral Pattern Recognition

Identifies unusual communication patterns, timing anomalies, and deviations from normal behavior that may indicate suspicious activity.

Trade-Communication Linkage

Automatically correlates communications with trading activity to detect suspicious timing relationships between information sharing and order execution.

Trade-Communication Linkage

Automatically correlates communications with trading activity to detect suspicious timing relationships between information sharing and order execution.

Trade-Communication Linkage

Automatically correlates communications with trading activity to detect suspicious timing relationships between information sharing and order execution.

Trade-Communication Linkage

Automatically correlates communications with trading activity to detect suspicious timing relationships between information sharing and order execution.

False Positive Reduction

Uses contextual understanding to distinguish legitimate business discussions from genuine risks, reducing alert volume by up to 85% compared to keyword-based systems.

False Positive Reduction

Uses contextual understanding to distinguish legitimate business discussions from genuine risks, reducing alert volume by up to 85% compared to keyword-based systems.

False Positive Reduction

Uses contextual understanding to distinguish legitimate business discussions from genuine risks, reducing alert volume by up to 85% compared to keyword-based systems.

False Positive Reduction

Uses contextual understanding to distinguish legitimate business discussions from genuine risks, reducing alert volume by up to 85% compared to keyword-based systems.

Regulatory Evidence Trail

Provides complete audit trails with visual citations linking every flagged risk back to specific communications and trades, creating defensible documentation for regulators.

Regulatory Evidence Trail

Provides complete audit trails with visual citations linking every flagged risk back to specific communications and trades, creating defensible documentation for regulators.

Regulatory Evidence Trail

Provides complete audit trails with visual citations linking every flagged risk back to specific communications and trades, creating defensible documentation for regulators.

Regulatory Evidence Trail

Provides complete audit trails with visual citations linking every flagged risk back to specific communications and trades, creating defensible documentation for regulators.

Analyzes all communication channels

To identify genuine compliance risks with precision.

Get started

Get started

Logo
Logo
Logo

Import your files

Microsoft Outlook

,

Slack

,

Microsoft Teams

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your surveillance program.

Connect AI to your surveillance program.

Detect real risks while reducing alert fatigue.

Detect real risks while reducing alert fatigue.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Features

Features

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

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex documents.

Up to 200 pages.

Surveillance data comes in many formats. This agent processes email threads, chat logs, voice transcripts, structured trade data, and unstructured meeting notes. It handles multilingual communications and recognizes context across different communication styles.

Input types

50+ languages

Voice Transcripts

Multi-Channel

Real-Time Analysis

Document types

Email Threads

Chat Logs

Trade Data

Voice Files

Meeting Notes

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Surveillance data comes in many formats. This agent processes email threads, chat logs, voice transcripts, structured trade data, and unstructured meeting notes. It handles multilingual communications and recognizes context across different communication styles.

Input types

50+ languages

Voice Transcripts

Multi-Channel

Real-Time Analysis

Document types

Email Threads

Chat Logs

Trade Data

Voice Files

Meeting Notes

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Surveillance data comes in many formats. This agent processes email threads, chat logs, voice transcripts, structured trade data, and unstructured meeting notes. It handles multilingual communications and recognizes context across different communication styles.

Input types

50+ languages

Voice Transcripts

Multi-Channel

Real-Time Analysis

Document types

Email Threads

Chat Logs

Trade Data

Voice Files

Meeting Notes

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Compliance surveillance demands precision. The agent uses sophisticated language models to understand nuance, context, and intent. This semantic understanding dramatically reduces false positives while ensuring genuine risks are never missed.

Model providers

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)

Reach 99% accuracy rate

through GenAI reasoning.

Compliance surveillance demands precision. The agent uses sophisticated language models to understand nuance, context, and intent. This semantic understanding dramatically reduces false positives while ensuring genuine risks are never missed.

Model providers

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)

Reach 99% accuracy rate

through GenAI reasoning.

Compliance surveillance demands precision. The agent uses sophisticated language models to understand nuance, context, and intent. This semantic understanding dramatically reduces false positives while ensuring genuine risks are never missed.

Model providers

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 reality.

Every flagged risk is linked to specific communications and trades. Compliance officers can instantly review the exact messages, timing, and context that triggered the alert. This creates a complete audit trail for regulatory inquiries.

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 reality.

Every flagged risk is linked to specific communications and trades. Compliance officers can instantly review the exact messages, timing, and context that triggered the alert. This creates a complete audit trail for regulatory inquiries.

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 reality.

Every flagged risk is linked to specific communications and trades. Compliance officers can instantly review the exact messages, timing, and context that triggered the alert. This creates a complete audit trail for regulatory inquiries.

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 high-stake industries.

Employee communications contain highly sensitive information. V7 Go processes all surveillance data within your secure infrastructure, meeting the strict data governance requirements of regulated financial institutions. Your data never leaves your control.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Employee communications contain highly sensitive information. V7 Go processes all surveillance data within your secure infrastructure, meeting the strict data governance requirements of regulated financial institutions. Your data never leaves your control.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Employee communications contain highly sensitive information. V7 Go processes all surveillance data within your secure infrastructure, meeting the strict data governance requirements of regulated financial institutions. Your data never leaves your control.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI agent for Compliance Officers

How does semantic analysis differ from keyword surveillance?

Keyword systems flag any mention of specific terms, generating thousands of false positives. Semantic analysis understands context, intent, and meaning. It recognizes that discussing public earnings is different from sharing material non-public information, even if similar words are used.

+

How does semantic analysis differ from keyword surveillance?

Keyword systems flag any mention of specific terms, generating thousands of false positives. Semantic analysis understands context, intent, and meaning. It recognizes that discussing public earnings is different from sharing material non-public information, even if similar words are used.

+

How does semantic analysis differ from keyword surveillance?

Keyword systems flag any mention of specific terms, generating thousands of false positives. Semantic analysis understands context, intent, and meaning. It recognizes that discussing public earnings is different from sharing material non-public information, even if similar words are used.

+

Can it detect coded language and euphemisms?

Yes. The agent uses advanced language models that understand implicit meaning and context. It can identify suspicious intent even when participants avoid explicit terminology, recognizing patterns in how information is shared and acted upon.

+

Can it detect coded language and euphemisms?

Yes. The agent uses advanced language models that understand implicit meaning and context. It can identify suspicious intent even when participants avoid explicit terminology, recognizing patterns in how information is shared and acted upon.

+

Can it detect coded language and euphemisms?

Yes. The agent uses advanced language models that understand implicit meaning and context. It can identify suspicious intent even when participants avoid explicit terminology, recognizing patterns in how information is shared and acted upon.

+

How does it handle multi-channel surveillance?

The agent ingests data from email, instant messaging, voice call transcripts, and trading systems. It correlates information across these channels to identify patterns that might be invisible when examining each source in isolation.

+

How does it handle multi-channel surveillance?

The agent ingests data from email, instant messaging, voice call transcripts, and trading systems. It correlates information across these channels to identify patterns that might be invisible when examining each source in isolation.

+

How does it handle multi-channel surveillance?

The agent ingests data from email, instant messaging, voice call transcripts, and trading systems. It correlates information across these channels to identify patterns that might be invisible when examining each source in isolation.

+

What about employee privacy and data security?

V7 Go processes all surveillance data within your secure environment. The system is designed for regulated financial institutions with strict data governance requirements. All analysis respects your existing privacy policies and regulatory obligations.

+

What about employee privacy and data security?

V7 Go processes all surveillance data within your secure environment. The system is designed for regulated financial institutions with strict data governance requirements. All analysis respects your existing privacy policies and regulatory obligations.

+

What about employee privacy and data security?

V7 Go processes all surveillance data within your secure environment. The system is designed for regulated financial institutions with strict data governance requirements. All analysis respects your existing privacy policies and regulatory obligations.

+

How quickly can it process daily communications?

The agent can analyze thousands of communications in minutes. Most firms run daily surveillance sweeps overnight, with priority alerts flagged in real-time for immediate review by compliance officers.

+

How quickly can it process daily communications?

The agent can analyze thousands of communications in minutes. Most firms run daily surveillance sweeps overnight, with priority alerts flagged in real-time for immediate review by compliance officers.

+

How quickly can it process daily communications?

The agent can analyze thousands of communications in minutes. Most firms run daily surveillance sweeps overnight, with priority alerts flagged in real-time for immediate review by compliance officers.

+

Does it integrate with existing surveillance platforms?

Yes. V7 Go can integrate with major surveillance and trade monitoring systems, enhancing their capabilities with semantic analysis. It can also operate as a standalone solution, depending on your infrastructure.

+

Does it integrate with existing surveillance platforms?

Yes. V7 Go can integrate with major surveillance and trade monitoring systems, enhancing their capabilities with semantic analysis. It can also operate as a standalone solution, depending on your infrastructure.

+

Does it integrate with existing surveillance platforms?

Yes. V7 Go can integrate with major surveillance and trade monitoring systems, enhancing their capabilities with semantic analysis. It can also operate as a standalone solution, depending on your infrastructure.

+

Next steps

Next steps

Tired of chasing false positives in your surveillance alerts?

Send us a sample of your communications data, and we'll show you how semantic analysis identifies genuine risks while filtering out noise.

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: