90% ROI increase
AI Customer Feedback Analysis Agent
Find the signal in your customer feedback noise
V7 Go’s agent analyzes all your qualitative customer feedback, from app reviews to NPS comments. Delegate the task of reading everything, and get back a prioritized summary of what your customers are really telling you.

Shareholder agreement review
See AI Customer Feedback Analysis Agent in action
Play video

Shareholder agreement review
See AI Customer Feedback Analysis Agent in action
Play video

Shareholder agreement review
See AI Customer Feedback Analysis Agent in action
Play video

Shareholder agreement review
See AI Customer Feedback Analysis Agent in action
Play video
Time comparison
Time comparison
Traditional way
40-60 hours per quarter
40-60 hours per quarter
With V7 Go agents
2-3 hours
2-3 hours
Average time saved
90%
90%
Why V7 Go
Why V7 Go
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Process surveys, app reviews, and support ticket logs.
Identify customer pain points, feature requests, and sentiment trends.
Get started
Get started
Import your files
Zendesk
,
SurveyMonkey
,
App Store Connect
Import your files from whereever they are currently stored
Customer Surveys (NPS, CSAT)
Customer Surveys (NPS, CSAT)
Social Media Mentions
Social Media Mentions
App Store & G2/Capterra Reviews
App Store & G2/Capterra Reviews
Sales & Customer Success Call Notes
Sales & Customer Success Call Notes
Support Tickets & Chat Logs
Support Tickets & Chat Logs
In-app Feedback Forms
In-app Feedback Forms
All types of Business documents supported
Top Customer Pain Points
Top Customer Pain Points
Most Requested New Features
Most Requested New Features
Sentiment Trend Analysis (by theme)
Sentiment Trend Analysis (by theme)
Emerging Bugs or Usability Issues
Emerging Bugs or Usability Issues
Competitive Mentions & Comparisons
Competitive Mentions & Comparisons
Positive & Negative Product Attributes
Positive & Negative Product Attributes
Root Cause of Customer Churn
Root Cause of Customer Churn
Key Drivers of Customer Loyalty
Key Drivers of Customer Loyalty
User Persona-Specific Feedback
User Persona-Specific Feedback
Onboarding Experience Issues
Onboarding Experience Issues
Item 01
Item 01
Once imported our system extracts and organises the essentials
Customer Voices
Customer Voices
Building trustworthy AI, trained on your data.
Join the world's best teams and Fortune 500s.
Building trustworthy AI. Join the world's best teams and Fortune 500s.
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Healthcare
•
Finance
•
Legal
•
Insurance
•
Logistics
•
Biotechnology
•
Manufacturing
•
Real Estate
Customer Voices
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
Read the full story
Healthcare
“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”
Read the full story
Healthcare
“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”
Read the full story
Software
“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”
Read the full story
Software
“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”
Read the full story
Agriculture
"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."
Read the full story
Agriculture
"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."
Read the full story
Healthcare
"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."
Read the full story
Healthcare
"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Read the full story
Automotive
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Read the full story
Agriculture
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
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.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
From handwritten notes to complex graphs, V7 Go reads and understands them all—even when layouts shift across documents. Process hundreds of documents and pages, transforming them into structured outputs with task-based workflows you can customize or build from scratch.
Input types
50+ languages
Handwritten
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Graphs
Speadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate through GenAI reasoning.
Break down complex document processing into discrete steps. Choose from top GenAI models, OCR tools, custom Python code, or integrate your own model to achieve fast, accurate, and reliable results with outputs you can trust.
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
Off
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.
You can verify if AI-generated responses are true and which excerpts they were based on. AI models in V7 Go automatically highlight source areas in your documents. Human reviewers can focus their time on results with lower confidence scores and make corrections when needed.

Visual grouding 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.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security for high-stake industries.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Integrate V7 seamlessly with your existing tech stack. Our platform connects to your cloud infrastructure and ML frameworks while ensuring robust data security and compliance with rigorous standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Pilot
Pilot
Curious how we can realise 90% ROI increase for you?
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
Send us a few samples, and we’ll deliver a custom demo with results—within 48 hours.
You’ll hear back in less than 24 hours
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

V7 Go
V7 Go
AI-powered customer insight
for product and CX teams
Companies are sitting on a goldmine of customer feedback they can't use. Reviews, survey responses, support tickets, and NPS comments are spread across a dozen systems, and no one has time to manually read thousands of pieces of qualitative feedback. As a result, critical product issues are missed, customer frustrations go unaddressed, and the 'voice of the customer' is lost. V7 Go's Customer Feedback Analysis Agent automates this process, turning a sea of unstructured text into a clear, actionable signal.



Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Testimonials
Testimonials
Secure and trustworthy AI.
Hear what customers say.
Secure and trustworthy AI.
Hear what customers say.
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm
Increase in Processing Speed
21x
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
Specialized Asset Management Firm
Document Type
20+ Page Reports
We use Collections on V7 Go to automate completion of our 20-page safety inspection reports. The system analyzes photos and supporting documentation and returns structured data for each question. It saves us hours on each report.

Ryan Ziegler
CEO of Certainty Software
Deploying complex AI workflows across large volumes of documents with V7 Go to increase accuracy, scale, and quality of legal services.

International Law Firm
Answers
Answers
What you need to know about our
AI Customer Feedback Analysis Agent
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
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Delegate RFP responses to an AI agent. It analyzes the RFP, finds answers in your internal knowledge, and drafts a high-quality, consistent first draft.
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Delegate document comparison to a specialized AI agent. Intelligently compare any two document versions to create an accurate redline and summary of changes.
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Delegate document comparison to a specialized AI agent. Intelligently compare any two document versions to create an accurate redline and summary of changes.
Semantic Redlining
Cross-Format Comparison
Change Summarization

Business
AI Document Comparison & Redlining Agent
Delegate document comparison to a specialized AI agent. Intelligently compare any two document versions to create an accurate redline and summary of changes.
Semantic Redlining
Cross-Format Comparison
Change Summarization

Business
Business Meeting Analysis Agent
Extract key topics, decisions, and follow-up items from meeting notes and transcripts with our AI meeting intelligence agent.
Topic Extraction
Decision Logging
Action Item Capture

Business
Business Meeting Analysis Agent
Extract key topics, decisions, and follow-up items from meeting notes and transcripts with our AI meeting intelligence agent.
Topic Extraction
Decision Logging
Action Item Capture

Business
Business Meeting Analysis Agent
Extract key topics, decisions, and follow-up items from meeting notes and transcripts with our AI meeting intelligence agent.
Topic Extraction
Decision Logging
Action Item Capture

Business
Business Performance Analysis Agent
Extract business metrics from reports and presentations. Track KPIs, analyze trends, and monitor performance with consistent measurement.
KPI Tracking
Performance Trend ID
Measurement Standardization

Business
Business Performance Analysis Agent
Extract business metrics from reports and presentations. Track KPIs, analyze trends, and monitor performance with consistent measurement.
KPI Tracking
Performance Trend ID
Measurement Standardization

Business
Business Performance Analysis Agent
Extract business metrics from reports and presentations. Track KPIs, analyze trends, and monitor performance with consistent measurement.
KPI Tracking
Performance Trend ID
Measurement Standardization

Business
AI Business Intelligence & Analytics
Connect to CRMs, ERPs, databases, and documents with our AI analytics agent. Track KPIs, analyze trends, and monitor performance consistently.
Cross-Platform Metrics
Trend Discovery
Performance Benchmarking

Business
AI Business Intelligence & Analytics
Connect to CRMs, ERPs, databases, and documents with our AI analytics agent. Track KPIs, analyze trends, and monitor performance consistently.
Cross-Platform Metrics
Trend Discovery
Performance Benchmarking

Business
AI Business Intelligence & Analytics
Connect to CRMs, ERPs, databases, and documents with our AI analytics agent. Track KPIs, analyze trends, and monitor performance consistently.
Cross-Platform Metrics
Trend Discovery
Performance Benchmarking
Next Step
Next Step
Stop letting customer feedback sit in silos.
Stop letting customer feedback sit in silos.
Stop letting customer feedback sit in silos.
Delegate the analysis to an AI agent and build a better product.
Delegate the analysis to an AI agent and build a better product.
Delegate the analysis to an AI agent and build a better product.
You’ll hear back in less than 24 hours
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: