90% less manual processing

AI Data Processing Agent

From messy data to actionable insights

Stop wasting time on data cleanup. This specialized AI agent ingests data from any source, extracts what matters, transforms it into your required format, and validates it for accuracy. Your team gets clean, structured data ready for analysis—without the manual work.

Ideal for

Finance & Accounting

Operations & Analytics

Data Engineering

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    Mercedes-Benz logo
    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
    Mercedes-Benz logo

See AI Data Processing 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 Processing 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 Processing Agent in action

Play video

Monthly Financial Data Processing

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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
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Data Processing Agent in action

Play video

Time comparison

Time comparison

Traditional way

3-5 days

With V7 Go agents

30-60 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Multi-Format Data Ingestion

Accepts data from spreadsheets, databases, APIs, PDFs, and unstructured documents. The agent automatically detects format, structure, and encoding, eliminating the need for manual preprocessing.

Multi-Format Data Ingestion

Accepts data from spreadsheets, databases, APIs, PDFs, and unstructured documents. The agent automatically detects format, structure, and encoding, eliminating the need for manual preprocessing.

Multi-Format Data Ingestion

Accepts data from spreadsheets, databases, APIs, PDFs, and unstructured documents. The agent automatically detects format, structure, and encoding, eliminating the need for manual preprocessing.

Multi-Format Data Ingestion

Accepts data from spreadsheets, databases, APIs, PDFs, and unstructured documents. The agent automatically detects format, structure, and encoding, eliminating the need for manual preprocessing.

Intelligent Data Transformation

Automatically maps fields, standardizes values, converts data types, and applies business logic. Define your transformation rules once, and the agent applies them consistently across millions of records.

Intelligent Data Transformation

Automatically maps fields, standardizes values, converts data types, and applies business logic. Define your transformation rules once, and the agent applies them consistently across millions of records.

Intelligent Data Transformation

Automatically maps fields, standardizes values, converts data types, and applies business logic. Define your transformation rules once, and the agent applies them consistently across millions of records.

Intelligent Data Transformation

Automatically maps fields, standardizes values, converts data types, and applies business logic. Define your transformation rules once, and the agent applies them consistently across millions of records.

Quality Validation & Error Detection

Validates data against your rules, flags anomalies, detects duplicates, and identifies missing values. Every record is checked before delivery, ensuring only clean data reaches your systems.

Quality Validation & Error Detection

Validates data against your rules, flags anomalies, detects duplicates, and identifies missing values. Every record is checked before delivery, ensuring only clean data reaches your systems.

Quality Validation & Error Detection

Validates data against your rules, flags anomalies, detects duplicates, and identifies missing values. Every record is checked before delivery, ensuring only clean data reaches your systems.

Quality Validation & Error Detection

Validates data against your rules, flags anomalies, detects duplicates, and identifies missing values. Every record is checked before delivery, ensuring only clean data reaches your systems.

Reconciliation & Matching

Automatically matches records across datasets, reconciles accounts, and identifies discrepancies. Handles fuzzy matching for names and addresses, catching errors that manual review would miss.

Reconciliation & Matching

Automatically matches records across datasets, reconciles accounts, and identifies discrepancies. Handles fuzzy matching for names and addresses, catching errors that manual review would miss.

Reconciliation & Matching

Automatically matches records across datasets, reconciles accounts, and identifies discrepancies. Handles fuzzy matching for names and addresses, catching errors that manual review would miss.

Reconciliation & Matching

Automatically matches records across datasets, reconciles accounts, and identifies discrepancies. Handles fuzzy matching for names and addresses, catching errors that manual review would miss.

Structured Output Generation

Delivers processed data in your required format—JSON, CSV, Excel, SQL, or direct database writes. Output is ready for immediate use in analytics, reporting, or downstream systems.

Structured Output Generation

Delivers processed data in your required format—JSON, CSV, Excel, SQL, or direct database writes. Output is ready for immediate use in analytics, reporting, or downstream systems.

Structured Output Generation

Delivers processed data in your required format—JSON, CSV, Excel, SQL, or direct database writes. Output is ready for immediate use in analytics, reporting, or downstream systems.

Structured Output Generation

Delivers processed data in your required format—JSON, CSV, Excel, SQL, or direct database writes. Output is ready for immediate use in analytics, reporting, or downstream systems.

Audit Trail & Transparency

Every transformation is logged and traceable. See exactly which rules were applied, which records were flagged, and why. Full visibility into the processing pipeline for compliance and troubleshooting.

Audit Trail & Transparency

Every transformation is logged and traceable. See exactly which rules were applied, which records were flagged, and why. Full visibility into the processing pipeline for compliance and troubleshooting.

Audit Trail & Transparency

Every transformation is logged and traceable. See exactly which rules were applied, which records were flagged, and why. Full visibility into the processing pipeline for compliance and troubleshooting.

Audit Trail & Transparency

Every transformation is logged and traceable. See exactly which rules were applied, which records were flagged, and why. Full visibility into the processing pipeline for compliance and troubleshooting.

Processes data from any source

And delivers it in your required format.

Customer voices

Customer voices

Connect AI to your data pipeline.

Connect AI to your data pipeline.

Turn data chaos into structured intelligence.

Turn data chaos into structured intelligence.

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 data structures.

At any scale.

Data arrives in countless formats and structures. This agent handles nested JSON, complex spreadsheets, database exports, and unstructured text. It adapts to your data, not the other way around.

Input types

Nested Structures

Multiple Encodings

Millions of Records

Real-Time Streams

Document types

Spreadsheets

Databases

JSON

APIs

CSV

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex data structures.

At any scale.

Data arrives in countless formats and structures. This agent handles nested JSON, complex spreadsheets, database exports, and unstructured text. It adapts to your data, not the other way around.

Input types

Nested Structures

Multiple Encodings

Millions of Records

Real-Time Streams

Document types

Spreadsheets

Databases

JSON

APIs

CSV

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex data structures.

At any scale.

Data arrives in countless formats and structures. This agent handles nested JSON, complex spreadsheets, database exports, and unstructured text. It adapts to your data, not the other way around.

Input types

Nested Structures

Multiple Encodings

Millions of Records

Real-Time Streams

Document types

Spreadsheets

Databases

JSON

APIs

CSV

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through intelligent validation.

Data quality is non-negotiable. This agent validates every record against your rules, detects anomalies, and flags discrepancies. Multi-step verification ensures accuracy before data reaches your systems.

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 intelligent validation.

Data quality is non-negotiable. This agent validates every record against your rules, detects anomalies, and flags discrepancies. Multi-step verification ensures accuracy before data reaches your systems.

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 intelligent validation.

Data quality is non-negotiable. This agent validates every record against your rules, detects anomalies, and flags discrepancies. Multi-step verification ensures accuracy before data reaches your systems.

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 rules.

Every transformation is logged and auditable. See exactly which rules were applied, which records were flagged, and why. Complete visibility into the processing pipeline for compliance and troubleshooting.

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 rules.

Every transformation is logged and auditable. See exactly which rules were applied, which records were flagged, and why. Complete visibility into the processing pipeline for compliance and troubleshooting.

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 rules.

Every transformation is logged and auditable. See exactly which rules were applied, which records were flagged, and why. Complete visibility into the processing pipeline for compliance and troubleshooting.

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 data.

Financial and operational data requires strict security. V7 Go processes all data within your secure environment, adhering to compliance standards. Your data is never used for external purposes or model training.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for sensitive data.

Financial and operational data requires strict security. V7 Go processes all data within your secure environment, adhering to compliance standards. Your data is never used for external purposes or model training.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for sensitive data.

Financial and operational data requires strict security. V7 Go processes all data within your secure environment, adhering to compliance standards. Your data is never used for external purposes or model training.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

More agents

More agents

Explore more agents to help you

Explore more agents to help you

accelerate your data and analytics workflows

More agents

Answers

Answers

What you need to know about our

AI Data Processing Agent

What data formats can the agent process?

The agent handles Excel, CSV, JSON, XML, SQL databases, APIs, PDFs, images with tables, and unstructured text. It automatically detects format and structure, so you don't need to pre-format or clean data before submission.

+

What data formats can the agent process?

The agent handles Excel, CSV, JSON, XML, SQL databases, APIs, PDFs, images with tables, and unstructured text. It automatically detects format and structure, so you don't need to pre-format or clean data before submission.

+

What data formats can the agent process?

The agent handles Excel, CSV, JSON, XML, SQL databases, APIs, PDFs, images with tables, and unstructured text. It automatically detects format and structure, so you don't need to pre-format or clean data before submission.

+

How does it handle inconsistent or messy data?

The agent is built for real-world data. It handles missing values, inconsistent formatting, duplicate entries, and encoding issues. It applies standardization rules and flags anomalies for review, ensuring data quality without losing information.

+

How does it handle inconsistent or messy data?

The agent is built for real-world data. It handles missing values, inconsistent formatting, duplicate entries, and encoding issues. It applies standardization rules and flags anomalies for review, ensuring data quality without losing information.

+

How does it handle inconsistent or messy data?

The agent is built for real-world data. It handles missing values, inconsistent formatting, duplicate entries, and encoding issues. It applies standardization rules and flags anomalies for review, ensuring data quality without losing information.

+

Can it work with our existing data pipelines?

Yes. The agent integrates with your data warehouse, BI tools, and ETL systems. It can read from and write to databases, APIs, and cloud storage, fitting seamlessly into your existing infrastructure.

+

Can it work with our existing data pipelines?

Yes. The agent integrates with your data warehouse, BI tools, and ETL systems. It can read from and write to databases, APIs, and cloud storage, fitting seamlessly into your existing infrastructure.

+

Can it work with our existing data pipelines?

Yes. The agent integrates with your data warehouse, BI tools, and ETL systems. It can read from and write to databases, APIs, and cloud storage, fitting seamlessly into your existing infrastructure.

+

How accurate is the data transformation?

The agent achieves high accuracy through multi-step validation and rule-based transformation. Every processed record is checked against your defined rules. For critical transformations, the agent flags low-confidence results for human review.

+

How accurate is the data transformation?

The agent achieves high accuracy through multi-step validation and rule-based transformation. Every processed record is checked against your defined rules. For critical transformations, the agent flags low-confidence results for human review.

+

How accurate is the data transformation?

The agent achieves high accuracy through multi-step validation and rule-based transformation. Every processed record is checked against your defined rules. For critical transformations, the agent flags low-confidence results for human review.

+

Can it scale to large datasets?

Absolutely. The agent processes millions of records efficiently. It handles batch processing, streaming data, and real-time ingestion. Performance scales with your data volume without degradation.

+

Can it scale to large datasets?

Absolutely. The agent processes millions of records efficiently. It handles batch processing, streaming data, and real-time ingestion. Performance scales with your data volume without degradation.

+

Can it scale to large datasets?

Absolutely. The agent processes millions of records efficiently. It handles batch processing, streaming data, and real-time ingestion. Performance scales with your data volume without degradation.

+

How do we define transformation rules?

Rules are defined through a simple, no-code interface. Specify field mappings, validation criteria, and business logic once. The agent applies these rules consistently across all future data processing runs.

+

How do we define transformation rules?

Rules are defined through a simple, no-code interface. Specify field mappings, validation criteria, and business logic once. The agent applies these rules consistently across all future data processing runs.

+

How do we define transformation rules?

Rules are defined through a simple, no-code interface. Specify field mappings, validation criteria, and business logic once. The agent applies these rules consistently across all future data processing runs.

+

Next steps

Next steps

Still spending hours on manual data processing?

Send us a sample dataset from your current workflow. We'll show you how to cut processing time by 90% and eliminate manual errors.

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