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

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    Alaris logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
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See AI Data Lake Integration Agent 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
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Data Lake Integration Agent 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
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Data Lake Integration Agent in action

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New Data Pipeline

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

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.

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

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:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo