90% faster annotation

AI Data Annotation Agent

AI Data Annotation Agent

AI Data Annotation Agent

Label datasets in hours, not weeks

Label datasets in hours, not weeks

Label datasets in hours, not weeks

Delegate dataset annotation to a specialized AI agent. It classifies images, extracts entities, labels text, and creates structured training data with consistency and speed. Your ML team can focus on model architecture and optimization instead of manual labeling.

Ideal for

ML Engineering Teams

Data Science

AI Research

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Data Annotation Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Data Annotation Agent in action

Play video

Product Image Classification

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Data Annotation Agent in action

Play video

Decision-ready outputs from your data room

Turn diligence documents into

IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into

IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into

IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into

IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Time comparison

Traditional way

4-8 weeks

With V7 Go agents

4-8 hours

Average time saved

90%

Why V7 Go

Multi-Modal Classification

Handles images, text, audio, and video with consistent labeling logic. The agent understands context and applies domain-specific classification rules across all data types.

Multi-Modal Classification

Handles images, text, audio, and video with consistent labeling logic. The agent understands context and applies domain-specific classification rules across all data types.

Entity Extraction & Tagging

Automatically identifies and tags named entities, objects, and attributes within unstructured data. Produces structured annotations ready for model training.

Entity Extraction & Tagging

Automatically identifies and tags named entities, objects, and attributes within unstructured data. Produces structured annotations ready for model training.

Confidence Scoring & Quality Control

Assigns confidence scores to each annotation and flags uncertain cases for human review. Ensures high-quality training data without sacrificing speed.

Confidence Scoring & Quality Control

Assigns confidence scores to each annotation and flags uncertain cases for human review. Ensures high-quality training data without sacrificing speed.

Consistency Across Massive Datasets

Applies identical labeling rules to millions of data points, eliminating the inconsistency that plagues crowdsourced annotation. Every label follows the same logic.

Consistency Across Massive Datasets

Applies identical labeling rules to millions of data points, eliminating the inconsistency that plagues crowdsourced annotation. Every label follows the same logic.

Custom Taxonomy Support

Define your own classification schemes and labeling rules. The agent learns your taxonomy and applies it consistently across your entire dataset.

Custom Taxonomy Support

Define your own classification schemes and labeling rules. The agent learns your taxonomy and applies it consistently across your entire dataset.

Export-Ready Formats

Delivers annotations in standard formats (COCO, Pascal VOC, YOLO, JSON) compatible with popular ML frameworks. No conversion or reformatting needed.

Export-Ready Formats

Delivers annotations in standard formats (COCO, Pascal VOC, YOLO, JSON) compatible with popular ML frameworks. No conversion or reformatting needed.

Annotates any data type with precision

To accelerate your machine learning pipeline.

Get started

Logo
Logo
Logo

Import your files

AWS

,

Google Cloud

,

Hugging Face

Import your files from whereever they are currently stored

Features

Features

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

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting any data type.

At any scale.

Whether you're annotating product images, customer reviews, medical scans, or sensor data, this agent adapts to your data type and taxonomy. It scales from thousands to millions of data points without losing consistency.

Input types

Images

Text

Audio

Video

Document types

JPG/PNG

CSV/JSON

MP3/WAV

MP4/MOV

Cloud Storage

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting any data type.

At any scale.

Whether you're annotating product images, customer reviews, medical scans, or sensor data, this agent adapts to your data type and taxonomy. It scales from thousands to millions of data points without losing consistency.

Input types

Images

Text

Audio

Video

Document types

JPG/PNG

CSV/JSON

MP3/WAV

MP4/MOV

Cloud Storage

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Consistent labeling

across millions of data points.

Unlike crowdsourced annotation, this agent applies identical logic to every data point. No human inconsistency, no label drift, no quality degradation as datasets grow. Your training data stays clean and consistent.

Model providers

OpenAI, Anthropic, Gemini logos

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)

Consistent labeling

across millions of data points.

Unlike crowdsourced annotation, this agent applies identical logic to every data point. No human inconsistency, no label drift, no quality degradation as datasets grow. Your training data stays clean and consistent.

Model providers

OpenAI, Anthropic, Gemini logos

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)

Confidence-driven quality.

Human review where it matters.

Every annotation includes a confidence score. Low-confidence items are automatically flagged for human review, ensuring your training data quality while still achieving massive time savings. You get the best of both worlds.

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

Confidence-driven quality.

Human review where it matters.

Every annotation includes a confidence score. Low-confidence items are automatically flagged for human review, ensuring your training data quality while still achieving massive time savings. You get the best of both worlds.

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 datasets.

Your training data is proprietary and sensitive. V7 Go processes all annotations within your secure environment. Datasets are never shared, never used for external purposes, and never exposed to third parties.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive datasets.

Your training data is proprietary and sensitive. V7 Go processes all annotations within your secure environment. Datasets are never shared, never used for external purposes, and never exposed to third parties.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Enterprise-grade
security.
Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade
security.
Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade
security.
Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.