Reliably extract data from any
Reliably extract data from any
Finance
Finance
Finance
document at scale
document at scale
Share documents to be automated by our agent…
Concierge
Vendor_US.pdf

3
Supply_2023.pdf

Review_Legal.pdf

Share documents to be automated by our agent…
Concierge
Vendor_US.pdf

3
Supply_2023.pdf

Review_Legal.pdf

Share documents to be automated by our agent…
Concierge
Vendor_US.pdf

3
Supply_2023.pdf

Review_Legal.pdf

Features
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
Widespread Problems
Widespread Problems
Widespread Problems
You bought OCR, IDP, or proprietary AI.
You bought OCR, IDP, or proprietary AI.
Your back office is still a mess.
Your back office is still a mess.
Get value in 7 days.
Department tailored
Department tailored
Department tailored
Turn complex unstructured documents into actionable insights. In seconds.
100s of use cases across industries.
Turn complex unstructured documents into actionable insights. In seconds. 100s of use cases across industries.
Finance
Automate invoice & expense workflows
Confidential information memorandums
Fund performance reports
Pitch deck analysis
10-Q reports
Portfolio company dataroom
Automating due diligence
Legal
Contract review
Patents processing
Regulatory compliance
Insurance
Market reform contracts (MRC)
Statement of value (SOV)
Claims processing
Logistics
Air waybills
Receipts
Shipping labels
Tax
Tax return preparation (local & international)
Supporting document extraction
Entity structure & ownership files
Audit response packages

Q3 Financial Report

Finance
Automate invoice & expense workflows
Confidential information memorandums
Fund performance reports
Pitch deck analysis
10-Q reports
Portfolio company dataroom
Automating due diligence
Legal
Contract review
Patents processing
Regulatory compliance
Insurance
Market reform contracts (MRC)
Statement of value (SOV)
Claims processing
Logistics
Air waybills
Receipts
Shipping labels
Tax
Tax return preparation (local & international)
Supporting document extraction
Entity structure & ownership files
Audit response packages

Q3 Financial Report

Finance
Automate invoice & expense workflows
Confidential information memorandums
Fund performance reports
Pitch deck analysis
10-Q reports
Portfolio company dataroom
Automating due diligence
Legal
Contract review
Patents processing
Regulatory compliance
Insurance
Market reform contracts (MRC)
Statement of value (SOV)
Claims processing
Logistics
Air waybills
Receipts
Shipping labels
Tax
Tax return preparation (local & international)
Supporting document extraction
Entity structure & ownership files
Audit response packages

Q3 Financial Report

Testimonials
Testimonials
Secure and trustworthy AI.
Hear what customers say.
Secure and trustworthy AI.
Hear what customers say.
Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

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

Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

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

Processing financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.

Specialized Asset Management Firm

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

Security & Safety
Security & Safety
Security & Safety
Enterprise-level security.
Keep your data private.
Enterprise-level security.
Keep your data private.
Enterprise security
Enterprise-grade compliance and scalability with end-to-end encryption and SOC 2 Type II certification.
Enterprise security
Enterprise-grade compliance and scalability with end-to-end encryption and SOC 2 Type II certification.
Enterprise security
Enterprise-grade compliance and scalability with end-to-end encryption and SOC 2 Type II certification.
Enterprise security
Enterprise-grade compliance and scalability with end-to-end encryption and SOC 2 Type II certification.
Model transparency
Access to leading LLMs including GPT, Claude, and Gemini, with region-specific processing options.
Model transparency
Access to leading LLMs including GPT, Claude, and Gemini, with region-specific processing options.
Model transparency
Access to leading LLMs including GPT, Claude, and Gemini, with region-specific processing options.
Model transparency
Access to leading LLMs including GPT, Claude, and Gemini, with region-specific processing options.
No Training on your Data
Full control and ownership of your data, compliant with local regulations and internal policies.
No Training on your Data
Full control and ownership of your data, compliant with local regulations and internal policies.
No Training on your Data
Full control and ownership of your data, compliant with local regulations and internal policies.
No Training on your Data
Full control and ownership of your data, compliant with local regulations and internal policies.
Access control
Granular user roles and permissions across teams and projects for secure collaboration.
Access control
Granular user roles and permissions across teams and projects for secure collaboration.
Access control
Granular user roles and permissions across teams and projects for secure collaboration.
Access control
Granular user roles and permissions across teams and projects for secure collaboration.
Welcome Go
Welcome Go
Welcome Go
Welcome Go
Hidden revenue. Invisible risk. Buried in your docs.
AI finds what humans can’t—in seconds.
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:
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:
FAQs
FAQs
FAQs
FAQs
Have questions?
Find answers.
Have questions?
Find answers.
What is V7 Go?
V7 Go is a knowledge work automation platform designed for businesses to automate complex, document-intensive workflows using agentic AI. It enables teams in sectors like finance, legal, insurance, and real estate to build and deploy intelligent agents that can understand, analyze, and process documents, images, and other data with high accuracy. Instead of just performing single tasks, V7 Go orchestrates multi-step processes to deliver consistent, auditable results.
+
How is V7 Go different from using ChatGPT, Claude, or other LLMs directly?
While V7 Go utilizes powerful foundation models from providers like OpenAI, Anthropic, and Google, it offers several critical advantages over calling them directly via an API. Firstly, V7 Go allows you to build agentic workflows that chain multiple models and tools together, creating a far more robust process than a single prompt could achieve. Secondly, it provides unparalleled accuracy and verifiability through AI Citations, which visually ground every insight in the source document. Moreover, V7 Go is built for business, offering enterprise-grade security, compliance, and custom permissions. Finally, through features like the Knowledge Hub, V7 Go can securely index your internal documents, allowing the AI to provide answers grounded in your company's specific data, not just the public internet.
+
How does V7 Go ensure the accuracy of its AI outputs and prevent "hallucinations"?
We tackle accuracy and reliability on multiple fronts. Our core feature, AI Citations, provides visual grounding by linking every AI output directly to the highlighted text in the source document, so you can instantly verify where the information came from. We also employ Retrieval-Augmented Generation (RAG) to ground answers in your own trusted data via the Knowledge Hub, drastically reducing the risk of inventing information. By breaking complex problems into smaller, logical steps, our agents are less likely to make errors in complex reasoning chains. Furthermore, workflows can be designed to include mandatory human-in-the-loop review for critical decisions, combining AI efficiency with expert oversight.
+
How does V7 Go pricing work?
V7 Go offers custom, usage-based pricing. This approach allows us to tailor a solution that fits the specific complexity, document volume, and integration needs of your business. Pricing is designed to provide clear ROI by aligning costs directly with the value you receive. For a detailed quote based on your use case, we recommend booking a demo with our team.
+
What is the implementation process like, and how do we get started?
Implementation is designed to be fast and collaborative. It typically starts with a focused proof-of-concept (PoC) on one of your specific use cases. You share sample documents, and our solution engineers work with you to build a working prototype of an AI agent that solves your problem. We can often deliver a working PoC in just a few days. The best way to start is to book a demo, where we can discuss your specific challenges and show you how V7 Go can be applied to deliver immediate value.
+
How is V7 Go different from V7 Darwin?
V7 Darwin and V7 Go are two distinct platforms developed by V7 that are designed for different use cases and different stages of the AI lifecycle. V7 Darwin is a data annotation platform used by technical teams for developing training data and training custom computer vision models. It focuses on the annotation of visual data like images, videos, and medical scans and managing your annotation workforce of human labelers. In contrast, V7 Go is a work automation platform for orchestrating AI workflows and applying foundation models (LLMs) to automate knowledge work. It is designed for business users in document-intensive roles to build and deploy AI agents without needing to train models themselves.
+
What is V7 Go?
V7 Go is a knowledge work automation platform designed for businesses to automate complex, document-intensive workflows using agentic AI. It enables teams in sectors like finance, legal, insurance, and real estate to build and deploy intelligent agents that can understand, analyze, and process documents, images, and other data with high accuracy. Instead of just performing single tasks, V7 Go orchestrates multi-step processes to deliver consistent, auditable results.
+
How is V7 Go different from using ChatGPT, Claude, or other LLMs directly?
While V7 Go utilizes powerful foundation models from providers like OpenAI, Anthropic, and Google, it offers several critical advantages over calling them directly via an API. Firstly, V7 Go allows you to build agentic workflows that chain multiple models and tools together, creating a far more robust process than a single prompt could achieve. Secondly, it provides unparalleled accuracy and verifiability through AI Citations, which visually ground every insight in the source document. Moreover, V7 Go is built for business, offering enterprise-grade security, compliance, and custom permissions. Finally, through features like the Knowledge Hub, V7 Go can securely index your internal documents, allowing the AI to provide answers grounded in your company's specific data, not just the public internet.
+
How does V7 Go ensure the accuracy of its AI outputs and prevent "hallucinations"?
We tackle accuracy and reliability on multiple fronts. Our core feature, AI Citations, provides visual grounding by linking every AI output directly to the highlighted text in the source document, so you can instantly verify where the information came from. We also employ Retrieval-Augmented Generation (RAG) to ground answers in your own trusted data via the Knowledge Hub, drastically reducing the risk of inventing information. By breaking complex problems into smaller, logical steps, our agents are less likely to make errors in complex reasoning chains. Furthermore, workflows can be designed to include mandatory human-in-the-loop review for critical decisions, combining AI efficiency with expert oversight.
+
How does V7 Go pricing work?
V7 Go offers custom, usage-based pricing. This approach allows us to tailor a solution that fits the specific complexity, document volume, and integration needs of your business. Pricing is designed to provide clear ROI by aligning costs directly with the value you receive. For a detailed quote based on your use case, we recommend booking a demo with our team.
+
What is the implementation process like, and how do we get started?
Implementation is designed to be fast and collaborative. It typically starts with a focused proof-of-concept (PoC) on one of your specific use cases. You share sample documents, and our solution engineers work with you to build a working prototype of an AI agent that solves your problem. We can often deliver a working PoC in just a few days. The best way to start is to book a demo, where we can discuss your specific challenges and show you how V7 Go can be applied to deliver immediate value.
+
How is V7 Go different from V7 Darwin?
V7 Darwin and V7 Go are two distinct platforms developed by V7 that are designed for different use cases and different stages of the AI lifecycle. V7 Darwin is a data annotation platform used by technical teams for developing training data and training custom computer vision models. It focuses on the annotation of visual data like images, videos, and medical scans and managing your annotation workforce of human labelers. In contrast, V7 Go is a work automation platform for orchestrating AI workflows and applying foundation models (LLMs) to automate knowledge work. It is designed for business users in document-intensive roles to build and deploy AI agents without needing to train models themselves.
+
What is V7 Go?
V7 Go is a knowledge work automation platform designed for businesses to automate complex, document-intensive workflows using agentic AI. It enables teams in sectors like finance, legal, insurance, and real estate to build and deploy intelligent agents that can understand, analyze, and process documents, images, and other data with high accuracy. Instead of just performing single tasks, V7 Go orchestrates multi-step processes to deliver consistent, auditable results.
+
How is V7 Go different from using ChatGPT, Claude, or other LLMs directly?
While V7 Go utilizes powerful foundation models from providers like OpenAI, Anthropic, and Google, it offers several critical advantages over calling them directly via an API. Firstly, V7 Go allows you to build agentic workflows that chain multiple models and tools together, creating a far more robust process than a single prompt could achieve. Secondly, it provides unparalleled accuracy and verifiability through AI Citations, which visually ground every insight in the source document. Moreover, V7 Go is built for business, offering enterprise-grade security, compliance, and custom permissions. Finally, through features like the Knowledge Hub, V7 Go can securely index your internal documents, allowing the AI to provide answers grounded in your company's specific data, not just the public internet.
+
How does V7 Go ensure the accuracy of its AI outputs and prevent "hallucinations"?
We tackle accuracy and reliability on multiple fronts. Our core feature, AI Citations, provides visual grounding by linking every AI output directly to the highlighted text in the source document, so you can instantly verify where the information came from. We also employ Retrieval-Augmented Generation (RAG) to ground answers in your own trusted data via the Knowledge Hub, drastically reducing the risk of inventing information. By breaking complex problems into smaller, logical steps, our agents are less likely to make errors in complex reasoning chains. Furthermore, workflows can be designed to include mandatory human-in-the-loop review for critical decisions, combining AI efficiency with expert oversight.
+
How does V7 Go pricing work?
V7 Go offers custom, usage-based pricing. This approach allows us to tailor a solution that fits the specific complexity, document volume, and integration needs of your business. Pricing is designed to provide clear ROI by aligning costs directly with the value you receive. For a detailed quote based on your use case, we recommend booking a demo with our team.
+
What is the implementation process like, and how do we get started?
Implementation is designed to be fast and collaborative. It typically starts with a focused proof-of-concept (PoC) on one of your specific use cases. You share sample documents, and our solution engineers work with you to build a working prototype of an AI agent that solves your problem. We can often deliver a working PoC in just a few days. The best way to start is to book a demo, where we can discuss your specific challenges and show you how V7 Go can be applied to deliver immediate value.
+
How is V7 Go different from V7 Darwin?
V7 Darwin and V7 Go are two distinct platforms developed by V7 that are designed for different use cases and different stages of the AI lifecycle. V7 Darwin is a data annotation platform used by technical teams for developing training data and training custom computer vision models. It focuses on the annotation of visual data like images, videos, and medical scans and managing your annotation workforce of human labelers. In contrast, V7 Go is a work automation platform for orchestrating AI workflows and applying foundation models (LLMs) to automate knowledge work. It is designed for business users in document-intensive roles to build and deploy AI agents without needing to train models themselves.
+
What is V7 Go?
V7 Go is a knowledge work automation platform designed for businesses to automate complex, document-intensive workflows using agentic AI. It enables teams in sectors like finance, legal, insurance, and real estate to build and deploy intelligent agents that can understand, analyze, and process documents, images, and other data with high accuracy. Instead of just performing single tasks, V7 Go orchestrates multi-step processes to deliver consistent, auditable results.
+
How is V7 Go different from using ChatGPT, Claude, or other LLMs directly?
While V7 Go utilizes powerful foundation models from providers like OpenAI, Anthropic, and Google, it offers several critical advantages over calling them directly via an API. Firstly, V7 Go allows you to build agentic workflows that chain multiple models and tools together, creating a far more robust process than a single prompt could achieve. Secondly, it provides unparalleled accuracy and verifiability through AI Citations, which visually ground every insight in the source document. Moreover, V7 Go is built for business, offering enterprise-grade security, compliance, and custom permissions. Finally, through features like the Knowledge Hub, V7 Go can securely index your internal documents, allowing the AI to provide answers grounded in your company's specific data, not just the public internet.
+
How does V7 Go ensure the accuracy of its AI outputs and prevent "hallucinations"?
We tackle accuracy and reliability on multiple fronts. Our core feature, AI Citations, provides visual grounding by linking every AI output directly to the highlighted text in the source document, so you can instantly verify where the information came from. We also employ Retrieval-Augmented Generation (RAG) to ground answers in your own trusted data via the Knowledge Hub, drastically reducing the risk of inventing information. By breaking complex problems into smaller, logical steps, our agents are less likely to make errors in complex reasoning chains. Furthermore, workflows can be designed to include mandatory human-in-the-loop review for critical decisions, combining AI efficiency with expert oversight.
+
How does V7 Go pricing work?
V7 Go offers custom, usage-based pricing. This approach allows us to tailor a solution that fits the specific complexity, document volume, and integration needs of your business. Pricing is designed to provide clear ROI by aligning costs directly with the value you receive. For a detailed quote based on your use case, we recommend booking a demo with our team.
+
What is the implementation process like, and how do we get started?
Implementation is designed to be fast and collaborative. It typically starts with a focused proof-of-concept (PoC) on one of your specific use cases. You share sample documents, and our solution engineers work with you to build a working prototype of an AI agent that solves your problem. We can often deliver a working PoC in just a few days. The best way to start is to book a demo, where we can discuss your specific challenges and show you how V7 Go can be applied to deliver immediate value.
+
How is V7 Go different from V7 Darwin?
V7 Darwin and V7 Go are two distinct platforms developed by V7 that are designed for different use cases and different stages of the AI lifecycle. V7 Darwin is a data annotation platform used by technical teams for developing training data and training custom computer vision models. It focuses on the annotation of visual data like images, videos, and medical scans and managing your annotation workforce of human labelers. In contrast, V7 Go is a work automation platform for orchestrating AI workflows and applying foundation models (LLMs) to automate knowledge work. It is designed for business users in document-intensive roles to build and deploy AI agents without needing to train models themselves.
+