If you're evaluating enterprise AI platforms in 2026, you've likely come across both StackAI and V7 Labs (V7 Go). Both platforms help organizations deploy AI agents and automate workflows — but they approach the problem very differently.

V7 Labs recently published a comparison page positioning themselves against StackAI. While we respect V7's product, that page contains several inaccuracies about StackAI's capabilities. This post is designed to give you a clear, honest picture of both platforms so you can make the right decision for your organization.

Quick Comparison

Setting the Record Straight

Myth #1: "StackAI is self-service and requires more internal development time"

This is flatly incorrect. StackAI provides full white-glove implementation support for enterprise customers, including:

• Forward-deployed engineers who work alongside your team to build and deploy complex use cases

• Weekly co-building sessions led by AI strategists who understand both your business context and AI architecture

• Quarterly Business Reviews to align on progress, roadmap priorities, and expansion

StackAI customers go from initial engagement to production-ready AI agents in days, not months. The idea that StackAI is "self-service only" simply doesn't reflect reality.

Myth #2: "V7 Go adds visual grounding and pre-built industry-specific agents" (implying StackAI doesn't)

StackAI offers both.

Pre-built industry agents: StackAI ships with 75+ production-ready use cases spanning finance (investment memo generation, document comparison, expense management), legal (contract review, evidence analysis, NDA redlining), insurance (underwriting, claims verification), real estate (lease abstraction, rent roll analysis, due diligence), healthcare, education, and government. These aren't theoretical — they're templates customers deploy from day one.

Source citations and traceability: StackAI's interface displays citations with superscript references that trace every AI response back to the original source file and the exact information chunks the LLM used. Users can view the original document and verify the data. This is a core feature, not an add-on.

Myth #3: "Workflow outputs without native document-level source tracing"

Incorrect. StackAI's citation system is built directly into the user interface. Every response from an AI agent includes traceable source references that link back to specific documents and passages — a critical capability for compliance-driven industries.

Where StackAI Excels

1. A Visual Workflow Builder — V7 Doesn't Have One

This is one of the most fundamental differences between the two platforms, and one V7's comparison page glosses over entirely.

StackAI is built around a drag-and-drop visual workflow builder. Non-technical users can design, modify, and deploy complex AI workflows without writing a single line of code. You can see exactly how your agent is structured — what data it pulls, which models it uses, how outputs are routed — and adjust any part of it in real time.

V7 Go doesn't offer this. Their interface is primarily a grid or tabular view designed for document extraction tasks. It's functional for what it does, but it's rigid. You can't build custom multi-step workflows, chain models together, add conditional logic, or design agent architectures visually. You're largely constrained to the workflows V7 has pre-built for you.

For enterprises that need to automate diverse, complex processes — not just extract data from documents — this is a significant limitation. The flexibility to design your own workflows isn't a nice-to-have. It's the difference between a platform that fits your business and one that forces your business to fit the platform.

2. The Future of AI Employees — Computer Use and Agentic Automation

StackAI is not just a document processing or RAG platform. It's infrastructure for the next generation of enterprise AI: AI employees.

We're entering an era where AI agents don't just answer questions — they work. They operate computers, navigate browsers, manage their own teams of sub-agents, and execute complex multi-step workflows from beginning to end. StackAI is built for exactly this.

Computer Use: StackAI agents can be given their own computing environment — executing commands, reading and writing files, running scripts, sending emails, posting Slack messages, and working across the tools your enterprise already uses. Just like onboarding a new employee, you give the agent access to your systems and let it work. No human touchpoint required.

Browser Use: AI agents on StackAI can navigate the web the way a human does — clicking, filling forms, logging into portals, extracting data from any website or legacy system regardless of whether an API exists. Every website becomes a potential integration. Every system, however old, becomes part of your automation surface.

Multi-Agent Teams: StackAI supports multi-agent orchestration, where a manager agent breaks a complex task into components, delegates to specialized sub-agents, reviews their outputs, and delivers a final result to the user. Each sub-agent maintains its own context window, enabling workflows of arbitrary complexity that no single model could handle alone.

V7 Go offers none of this. It is a document processing tool. StackAI is a full agentic platform — and the gap between those two things will only widen as AI capabilities continue to advance.

If you're building for where enterprise AI is going, not just where it's been, StackAI is the only choice.

3. Deployment Flexibility That No One Else Matches

StackAI offers cloud, hybrid, and full on-premise deployment — a critical capability for industries like defense, banking, and government where data sovereignty is non-negotiable. You can run StackAI entirely within your own infrastructure, deploy local LLMs, and maintain full control over your data.

V7 Go does not prominently offer on-premise or VPC deployment — a dealbreaker for regulated industries with strict data sovereignty requirements.

4. The Most Versatile Interface Options in the Market

Most AI platforms give you a chatbot and call it a day. StackAI lets you deploy AI agents through 8 different interface types:

• Chat Assistant

• Form (structured input/output)

• Batch Processing (run hundreds of documents at once)

• Website Chatbot (embeddable widget)

• Slack App

• Microsoft Teams

• WhatsApp/SMS

• Chrome Extension

• API (build your own frontend)

V7 users primarily interact through a grid or tabular interface. For enterprises that need to deploy AI across different teams, tools, and use cases, this is a meaningful constraint.

5. 100+ Deep, Native Integrations

StackAI integrates natively with the enterprise systems your teams already use:

• Data & Analytics: Snowflake, BigQuery, Databricks, Power BI, Excel, Google Sheets

• CRM & Sales: Salesforce, HubSpot, LinkedIn, PitchBook

• Collaboration: SharePoint, Google Drive, Notion, Confluence, Dropbox, Slack, Outlook, Gmail

• Databases: PostgreSQL, MongoDB, MySQL, Oracle, Azure SQL

• AI & ML: OpenAI, Anthropic, Google Gemini, Pinecone, custom models via API

• Industry-Specific: Appfolio, RentCafe, Yardi (real estate), SAP, Workday

• MCP Server Support: Connect to any tool served by third parties using the MCP protocol

6. Enterprise-Grade Security and Governance — Built In, Not Bolted On

StackAI is SOC 2 Type II, HIPAA, and GDPR compliant with ISO 27001 certification, purpose-built for regulated industries and sensitive data processing. The governance layer includes:

• Granular RBAC: Control who can modify LLMs, edit Knowledge Bases, publish workflows, or access specific documents

• SSO Integration: Okta, Entra ID, and other identity providers with group/permission inheritance

• PII Protection: Built-in detection and masking of personally identifiable information

• Guardrails: Ensure LLMs stay on-topic and within defined scope

• Data Retention Policies: Define how long data is stored

• No Data Training: Enterprise agreements ensure user data is never used to train AI models

• Publishing Controls: Only authorized personnel can push agents to production

• Version Control: Full audit trail of all changes

• ADLC and Pull Requests: Admins are notified of all requests to make changes to agents

7. Full AI Model Agnosticism

Use OpenAI, Anthropic, Google, and more, or deploy open-source models on-premise. Switch between models with a single click — no vendor lock-in, no additional registration required.

Real-World Impact: StackAI in Production

Top 50 U.S. Law Firm: Deployed 3 production-grade AI agents across litigation, IP, and commercial contracting. Results: 1–2 hours saved per contract draft, 4x documents processed per week, 50% reduction in first-pass evidence review time.

Enterprise SaaS Company: Built an AI-powered virtual data analyst that converts natural language questions into SQL, executes against Snowflake, and returns plain-English summaries. Result: 80+ hours saved monthly with just 5 active users.

Real Estate Investment Firms: AI agents that parse leases, extract financial metrics from T-12s and rent rolls, validate schedules, review inspection findings, and surface red flags — integrated with Appfolio, RentCafe, and Yardi.

Who Should Choose StackAI?

StackAI is the right choice if you need:

• Broad enterprise AI automation beyond document processing

• On-premise or hybrid deployment for data sovereignty

• A visual workflow builder for non-technical teams

• Computer use, browser use, and multi-agent orchestration

• Multiple deployment interfaces beyond chat

• Deep native integrations with Salesforce, Snowflake, SAP, SharePoint

• White-glove support with forward-deployed engineers and QBRs

• Model flexibility without vendor lock-in

• Governance at scale with RBAC, SSO, PII protection, and version control

• Proven production deployments across finance, legal, healthcare, real estate, education, defense, and government

Who Might Prefer V7 Go?

V7 Go could be a fit if:

• Your use case is exclusively image-heavy document extraction

• You value V7's visual table UX for document source tracing specifically

• You don't need on-premise deployment

• You operate in a narrow set of industries and don't need custom workflow logic

The Bottom Line

Both StackAI and V7 Go are serious platforms. But the comparison V7 published misrepresents StackAI's capabilities — particularly around implementation support, workflow flexibility, pre-built industry agents, and source tracing. And it says nothing about the agentic capabilities that will define enterprise AI over the next 3 years.

StackAI offers white-glove implementation, 75+ pre-built industry use cases, a visual workflow builder, computer use and browser use, multi-agent orchestration, on-premise deployment, 100+ deep integrations, 8 deployment interfaces, and enterprise governance that scales from your first agent to hundreds.

V7 Go is a document processing tool. StackAI is a platform for building AI employees.

We encourage you to try both. We're confident that once you see StackAI in action, the choice will be clear.

Want to see the difference for yourself? Get a demo here.