Venn.ai

What is Venn.ai?

Venn.ai is a permissions and connectivity layer that sits between your AI assistants — Claude, ChatGPT, Cursor, VS Code — and the business apps they need to access. Think of it as a security-first bridge: instead of giving each AI tool its own API keys and hoping for the best, Venn.ai centralizes access with granular read-only or read-write permissions per connector, full activity audit logs, and a single dashboard to manage everything.

The product launched on Product Hunt and pulled 367 upvotes, which in the AI tool space signals genuine developer interest rather than just hype. What caught our attention was the pitch: "Set permissions once, use on any AI." That is the exact problem we have been running into — managing separate integrations for every AI tool is a nightmare once you hit 5+ business apps.

Venn.ai currently supports 20+ connectors across CRM (Salesforce, HubSpot), communication (Gmail, Google Workspace, Slack), productivity (Notion), e-commerce (Shopify), and payments (Stripe). The connector list keeps growing, but what matters is the architecture: permissions are set per connector and automatically enforced across every AI tool you connect.

Key Features

We spent a week testing Venn.ai across our own stack — connecting it to Gmail, Notion, Slack, and Stripe via Claude and Cursor. Here is what stood out, and what fell flat.

How Venn.ai Works

The setup process is refreshingly simple. We had Claude connected to Gmail, Slack, and Notion within 10 minutes. Here is the actual workflow:

The real magic is in step 3. Most AI integration tools either give full access or no access. Venn.ai's per-connector permission model means you can let Claude read your entire HubSpot CRM for research purposes while blocking it from modifying any records. That distinction matters — especially in sales teams where one bad AI-generated email update could corrupt a pipeline.

If you are already using tools like Taskade for AI-powered project management or ClickUp for task automation, Venn.ai complements them by adding the data-access layer those tools do not provide. Taskade is great for managing AI workflows within its own ecosystem, but Venn.ai lets your AI reach outside — into Salesforce, Gmail, Stripe, and everywhere else your business data actually lives.

Pricing Plans

Venn.ai keeps pricing dead simple with two tiers. No usage-based billing surprises, no hidden connector fees.

$50/year is genuinely cheap for what you get. For context: Zapier's lowest paid plan is $19.99/month ($240/year), and Make.com starts at $9/month ($108/year). Venn.ai is not a direct replacement for either — it does something different — but the price-to-value ratio is excellent for teams that need permissioned AI access to business tools.

The main limitation on the free tier is the read-only restriction. For exploring and research workflows — like having Claude summarize your Salesforce pipeline or pull Notion docs — free works fine. But the moment you want your AI to draft emails in Gmail, update HubSpot deals, or create Slack messages, you need Pro.

Pros and Cons

Venn.ai vs Zapier AI vs Make.com

We get asked this constantly, so let us be direct: Venn.ai, Zapier, and Make solve different problems. But there is enough overlap in the "AI + business apps" space that a comparison is warranted.

The bottom line: If you need automated workflows (when X happens, do Y), use Zapier or Make. If you need your AI tools to safely access business data with proper guardrails, use Venn.ai. Many teams will use Venn.ai alongside Zapier or Make, not instead of it.

Where Venn.ai genuinely wins is the multi-AI support. Zapier's AI features are built around ChatGPT. Make has an OpenAI module but no native Claude or Cursor integration. Venn.ai is the only tool that lets you use Claude, ChatGPT, Cursor, and VS Code through a single permissions layer — and that is a meaningful advantage for teams that use multiple AI tools daily.

Who Should Use Venn.ai?

After a week of testing, here is who we think gets the most value:

• Sales teams using AI for CRM work. If your reps use Claude or ChatGPT to draft emails, research prospects, or summarize deal pipelines, Venn.ai gives them live Salesforce/HubSpot data without the risk of accidental modifications. Read-only mode on CRM connectors is the sweet spot.
• Developers who live in Cursor/VS Code. The IDE integration means your coding AI can pull Jira tickets, Notion specs, or Slack conversation context without context-switching. We used this heavily and it genuinely reduced our back-and-forth.
• Compliance-conscious teams. If you are in fintech, healthcare, or any regulated industry where "what did your AI access?" is a real question, the audit logs on Pro justify the $50/year by themselves.
• Solo operators managing multiple AI tools. If you bounce between Claude for writing, ChatGPT for research, and Cursor for coding, Venn.ai eliminates the need to set up business app connections separately for each one.

Who should not use Venn.ai? Teams that need complex multi-step automation workflows — that is still Zapier or Make territory. And large enterprises with 100+ users will want to wait until Venn.ai adds team management features.

Final Verdict

Venn.ai solves a problem that has been getting worse every month: as AI tools proliferate, managing which AI can access which business data becomes a genuine security and compliance headache. Venn.ai's approach — centralized permissions, per-connector granularity, audit logging, multi-AI support — is exactly right.

The product is still young. Twenty connectors is a solid start but nowhere near Zapier's ecosystem. The lack of workflow automation means it is complementary to, not a replacement for, existing automation tools. And teams with more than a handful of users will want org-level features that do not exist yet.

But at $50/year for unlimited connectors and actions with full audit logging? The pricing is hard to argue with. If you use multiple AI tools and need them to safely interact with your business stack, Venn.ai is the best purpose-built solution we have tested in 2026.

Frequently Asked Questions