Unlock 80% more of your data
AI Data Lake Integration Agent
The ETL tool for your unstructured data
Delegate your unstructured data pipelines to a specialized AI agent. It reads documents in any format, extracts the precise data points you need according to your defined schema, and loads clean, structured data into your data lake or warehouse.

Ideal for
Data Engineers
Data Scientists
BI Analysts

See AI Data Lake Integration Agent in action
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See AI Data Lake Integration Agent in action
Play video

See AI Data Lake Integration Agent in action
Play video

New Data Pipeline
See AI Data Lake Integration Agent in action
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Time comparison
Time comparison
Traditional way
Weeks of scripting
With V7 Go agents
Hours to configure
Average time saved
95%
Why V7 Go
Why V7 Go
Unlocks Unstructured Data
Goes beyond structured sources to extract valuable data from the 80% of your information that is unstructured: PDFs, reports, contracts, emails, and more.
Unlocks Unstructured Data
Goes beyond structured sources to extract valuable data from the 80% of your information that is unstructured: PDFs, reports, contracts, emails, and more.
Unlocks Unstructured Data
Goes beyond structured sources to extract valuable data from the 80% of your information that is unstructured: PDFs, reports, contracts, emails, and more.
Unlocks Unstructured Data
Goes beyond structured sources to extract valuable data from the 80% of your information that is unstructured: PDFs, reports, contracts, emails, and more.
Flexible Schema Mapping
Define your target schema once. The agent's AI can intelligently map data from varied, inconsistent document layouts to your clean, standardized data model.
Flexible Schema Mapping
Define your target schema once. The agent's AI can intelligently map data from varied, inconsistent document layouts to your clean, standardized data model.
Flexible Schema Mapping
Define your target schema once. The agent's AI can intelligently map data from varied, inconsistent document layouts to your clean, standardized data model.
Flexible Schema Mapping
Define your target schema once. The agent's AI can intelligently map data from varied, inconsistent document layouts to your clean, standardized data model.
Automated Data Transformation
Doesn't just extract—it transforms. The agent can be configured to clean data, normalize formats (like dates and currencies), and perform calculations before loading.
Automated Data Transformation
Doesn't just extract—it transforms. The agent can be configured to clean data, normalize formats (like dates and currencies), and perform calculations before loading.
Automated Data Transformation
Doesn't just extract—it transforms. The agent can be configured to clean data, normalize formats (like dates and currencies), and perform calculations before loading.
Automated Data Transformation
Doesn't just extract—it transforms. The agent can be configured to clean data, normalize formats (like dates and currencies), and perform calculations before loading.
Native Cloud Integration
Connects seamlessly to your modern data stack, with native integrations for sources like Amazon S3 and Azure Blob Storage, and destinations like Snowflake and Databricks.
Native Cloud Integration
Connects seamlessly to your modern data stack, with native integrations for sources like Amazon S3 and Azure Blob Storage, and destinations like Snowflake and Databricks.
Native Cloud Integration
Connects seamlessly to your modern data stack, with native integrations for sources like Amazon S3 and Azure Blob Storage, and destinations like Snowflake and Databricks.
Native Cloud Integration
Connects seamlessly to your modern data stack, with native integrations for sources like Amazon S3 and Azure Blob Storage, and destinations like Snowflake and Databricks.
Scalable, Parallel Processing
Built for enterprise scale. The agent can process thousands of documents in parallel, allowing you to ingest massive backlogs of historical data or handle high-volume daily feeds.
Scalable, Parallel Processing
Built for enterprise scale. The agent can process thousands of documents in parallel, allowing you to ingest massive backlogs of historical data or handle high-volume daily feeds.
Scalable, Parallel Processing
Built for enterprise scale. The agent can process thousands of documents in parallel, allowing you to ingest massive backlogs of historical data or handle high-volume daily feeds.
Scalable, Parallel Processing
Built for enterprise scale. The agent can process thousands of documents in parallel, allowing you to ingest massive backlogs of historical data or handle high-volume daily feeds.
Reliable, Monitored Pipelines
Provides a real-time dashboard and robust error handling for every pipeline. Instantly see your success rates and manage any exceptions that require human review.
Reliable, Monitored Pipelines
Provides a real-time dashboard and robust error handling for every pipeline. Instantly see your success rates and manage any exceptions that require human review.
Reliable, Monitored Pipelines
Provides a real-time dashboard and robust error handling for every pipeline. Instantly see your success rates and manage any exceptions that require human review.
Reliable, Monitored Pipelines
Provides a real-time dashboard and robust error handling for every pipeline. Instantly see your success rates and manage any exceptions that require human review.
Extracts structured data from any unstructured source
To power your modern data stack.
Get started
Get started
Import your files
Snowflake
,
Databricks
,
Amazon S3
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your unstructured data.
Connect AI to your unstructured data.
Build the powerful, comprehensive data lake you always wanted.
Build the powerful, comprehensive data lake you always wanted.
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
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
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
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
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
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Works with any document format.
You don’t need to be an AI developer.
Build pipelines for the data you have, not the data you wish you had. This agent ingests everything—from clean API feeds and JSON files to messy, scanned PDFs with complex tables and handwritten notes.
Input types
50+ languages
JSON
Complex Tables
Multi-modal
Document types
PDFs
Images
Low-Quality Scans
APIs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Works with any document format.
You don’t need to be an AI developer.
Build pipelines for the data you have, not the data you wish you had. This agent ingests everything—from clean API feeds and JSON files to messy, scanned PDFs with complex tables and handwritten notes.
Input types
50+ languages
JSON
Complex Tables
Multi-modal
Document types
PDFs
Images
Low-Quality Scans
APIs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Works with any document format.
You don’t need to be an AI developer.
Build pipelines for the data you have, not the data you wish you had. This agent ingests everything—from clean API feeds and JSON files to messy, scanned PDFs with complex tables and handwritten notes.
Input types
50+ languages
JSON
Complex Tables
Multi-modal
Document types
PDFs
Images
Low-Quality Scans
APIs
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy
with AI reasoning.
Bad data in, bad analytics out. Our agent uses advanced AI reasoning and validation rules to ensure the data extracted from your documents is precise and correctly mapped, ensuring high-quality data for your lake.
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)
Achieve near-perfect accuracy
with AI reasoning.
Bad data in, bad analytics out. Our agent uses advanced AI reasoning and validation rules to ensure the data extracted from your documents is precise and correctly mapped, ensuring high-quality data for your lake.
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)
Achieve near-perfect accuracy
with AI reasoning.
Bad data in, bad analytics out. Our agent uses advanced AI reasoning and validation rules to ensure the data extracted from your documents is precise and correctly mapped, ensuring high-quality data for your lake.
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 your documents.
Maintain a clear data lineage for every record. Each piece of data loaded by the agent is linked back to its source document and location via a visual citation, creating a fully auditable pipeline for data governance.

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.
Maintain a clear data lineage for every record. Each piece of data loaded by the agent is linked back to its source document and location via a visual citation, creating a fully auditable pipeline for data governance.

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.
Maintain a clear data lineage for every record. Each piece of data loaded by the agent is linked back to its source document and location via a visual citation, creating a fully auditable pipeline for data governance.

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 unstructured data often contains your most sensitive PII and commercial information. V7 Go is architected to protect it, integrating with your secure cloud environment and applying your access control policies.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Your unstructured data often contains your most sensitive PII and commercial information. V7 Go is architected to protect it, integrating with your secure cloud environment and applying your access control policies.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Your unstructured data often contains your most sensitive PII and commercial information. V7 Go is architected to protect it, integrating with your secure cloud environment and applying your access control policies.
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 Data Lake Integration Agent
What kind of data warehouses and lakes does this integrate with?
We have pre-built integrations for major platforms like Snowflake, Amazon Redshift, Databricks, and Google BigQuery. The agent can also load structured files into cloud storage like S3, GCS, or Azure Blob for use with any system.
+
What kind of data warehouses and lakes does this integrate with?
We have pre-built integrations for major platforms like Snowflake, Amazon Redshift, Databricks, and Google BigQuery. The agent can also load structured files into cloud storage like S3, GCS, or Azure Blob for use with any system.
+
What kind of data warehouses and lakes does this integrate with?
We have pre-built integrations for major platforms like Snowflake, Amazon Redshift, Databricks, and Google BigQuery. The agent can also load structured files into cloud storage like S3, GCS, or Azure Blob for use with any system.
+
How do we define what data to extract from our documents?
You define a target schema using a simple interface (e.g., a list of desired fields like 'Invoice Number,' 'Total Amount,' 'Vendor Name'). The agent then uses AI to find and extract these specific data points from your documents.
+
How do we define what data to extract from our documents?
You define a target schema using a simple interface (e.g., a list of desired fields like 'Invoice Number,' 'Total Amount,' 'Vendor Name'). The agent then uses AI to find and extract these specific data points from your documents.
+
How do we define what data to extract from our documents?
You define a target schema using a simple interface (e.g., a list of desired fields like 'Invoice Number,' 'Total Amount,' 'Vendor Name'). The agent then uses AI to find and extract these specific data points from your documents.
+
How is this different from other ETL tools like Fivetran or dbt?
Tools like Fivetran are excellent for moving structured data between databases. V7 Go specializes in the 'T' (Transform) for unstructured data. We are the missing link that reads your PDFs and contracts to create the structured data that tools like Fivetran can then move.
+
How is this different from other ETL tools like Fivetran or dbt?
Tools like Fivetran are excellent for moving structured data between databases. V7 Go specializes in the 'T' (Transform) for unstructured data. We are the missing link that reads your PDFs and contracts to create the structured data that tools like Fivetran can then move.
+
How is this different from other ETL tools like Fivetran or dbt?
Tools like Fivetran are excellent for moving structured data between databases. V7 Go specializes in the 'T' (Transform) for unstructured data. We are the missing link that reads your PDFs and contracts to create the structured data that tools like Fivetran can then move.
+
Can it handle a one-time historical data migration project?
Yes. The agent is perfect for large-scale, one-off projects, like processing millions of legacy contracts or reports. Its scalable architecture can process massive backlogs in a fraction of the time of a manual project.
+
Can it handle a one-time historical data migration project?
Yes. The agent is perfect for large-scale, one-off projects, like processing millions of legacy contracts or reports. Its scalable architecture can process massive backlogs in a fraction of the time of a manual project.
+
Can it handle a one-time historical data migration project?
Yes. The agent is perfect for large-scale, one-off projects, like processing millions of legacy contracts or reports. Its scalable architecture can process massive backlogs in a fraction of the time of a manual project.
+
What format does the data need to be in?
The source documents can be in almost any format: PDF, Word, Excel, image files (JPG, PNG), emails, and more. The agent's output is clean, structured data, typically in JSON, CSV, or Parquet format.
+
What format does the data need to be in?
The source documents can be in almost any format: PDF, Word, Excel, image files (JPG, PNG), emails, and more. The agent's output is clean, structured data, typically in JSON, CSV, or Parquet format.
+
What format does the data need to be in?
The source documents can be in almost any format: PDF, Word, Excel, image files (JPG, PNG), emails, and more. The agent's output is clean, structured data, typically in JSON, CSV, or Parquet format.
+
How reliable is the data quality from unstructured sources?
V7 Go is built for high-stakes industries that demand accuracy. We provide confidence scores and, crucially, a visual citation for every piece of extracted data, so your team can build a human-in-the-loop QC process for any low-confidence results.
+
How reliable is the data quality from unstructured sources?
V7 Go is built for high-stakes industries that demand accuracy. We provide confidence scores and, crucially, a visual citation for every piece of extracted data, so your team can build a human-in-the-loop QC process for any low-confidence results.
+
How reliable is the data quality from unstructured sources?
V7 Go is built for high-stakes industries that demand accuracy. We provide confidence scores and, crucially, a visual citation for every piece of extracted data, so your team can build a human-in-the-loop QC process for any low-confidence results.
+
Next steps
Next steps
How much faster would your business grow with better data?
Send us a sample of your most challenging unstructured documents. We'll show you how our AI agent can turn them into clean, structured, analytics-ready data for your warehouse.
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: