Zoo
Contact SalesAI-native CAD software with conversational design agent Zookeeper
By Tanmay Verma, Founder · Last verified 01 Jun 2026
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Added 7d ago
80/100Safe BetAI-native CAD software with conversational design agent Zookeeper
By Tanmay Verma, Founder · Last verified 01 Jun 2026
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Zoo is a bold bet on conversational CAD, ideal for teams tired of legacy toolchains and ready to embrace AI-driven design. Its Zookeeper agent truly reasons about intent, not just commands. However, it may not yet match the ecosystem depth of SolidWorks or Fusion 360 for complex assemblies.
Last verified: June 2026
When to pick this: If you're a hardware startup or a design engineer frustrated with steep learning curves and repetitive geometry setup, Zoo's conversational agent can dramatically speed up early-stage design exploration. Its hybrid mode (point-and-click, code, or chat) is flexible for teams with varied workflows. ITAR and SOC 2 compliance make it suitable for defense and regulated industries. When to pass: If your projects rely on extensive legacy CAD libraries, advanced simulation (FEA/CFD), or very large assemblies, Zoo may not yet have the maturity. It also lacks mention of integrations with common PLM or ERP systems. Comparison to closest alternative: The closest alternative is Onshape, which is cloud-native but lacks a conversational agent. Zoo's Zookeeper sets it apart by interpreting high-level design intent. However, Onshape has a richer API and third-party app ecosystem. Real-world usage caveats: Zookeeper is a powerful concept but may require iterative prompt refinement for precise geometry. Since it's AI-native, output can vary, so users should verify critical dimensions. The platform is still young, so community and tutorial depth are limited.
Skip Zoo if Skip Zoo if you need organic mesh sculpting, extensive legacy file import, or a mature ecosystem with many third-party add-ons.
How likely is Zoo to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Zoo Design Studio is a next-generation CAD platform built for the modern hardware engineer. It introduces Zookeeper, a conversational CAD agent that reasons through design intent, plans geometry, and generates fully editable B-rep models — no meshes. Unlike traditional CAD tools, Zoo supports hybrid workflows where users can switch between point-and-click, code, and natural language prompts in one environment. The platform is built on a modern geometry engine and includes features like manufacturing-aware feedback, design intent capture, and constraint proposal. Available on Mac, Windows, and Linux, Zoo also offers an ITAR-compliant US region for export-restricted projects and is SOC 2 Type 2 audited. For teams seeking a modern CAD experience with AI assistance, Zoo provides a unified tool that blends traditional CAD capabilities with cutting-edge conversational design.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Zoo actually fits — and what changes day-one when you adopt it.
You need a custom enclosure for a new product. Open Zoo Design Studio, describe the enclosure in natural language to Zookeeper, and it generates a parametric B-rep model. You tweak dimensions in the GUI and export to DXF for laser cutting.
Outcome: Design ready for manufacturing within hours instead of days.
Your team iterates on a drone arm design. You script the geometry in KCL, version-control with Git, and run CI tests using Zoo CLI. Zookeeper suggests weight-optimized strut patterns.
Outcome: Automated design pipeline reduces iteration cycles by 70%.
You build a web configurator for custom brackets. Use Zoo's Text-to-CAD API to generate models from user text descriptions, then serve STL files for 3D printing.
Outcome: Full custom CAD generation behind an API, no GUI needed.
Free plan limits Zookeeper usage and some advanced features. API billing is per-second at $0.50/min (charged by the second), which may add up for complex models. AI-generated geometry may still require manual refinement for high-precision manufacturing needs. The platform is relatively new (v1 launched May 2025) and the ecosystem of plugins and integrations is smaller than established CAD tools.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Zoo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Hobbyists, students, and engineers evaluating Zoo; limited Zookeeper usage is fine for exploration.
What this tier adds
Free entry point with basic modeling tools and limited Zookeeper calls.
Pro
$50/mo (annual) or $60/mo (monthly)
Ideal for
Professional engineers and small teams needing unlimited AI agent usage and advanced API access.
What this tier adds
Unlocks unlimited Zookeeper usage and priority support over Free plan.
Enterprise
Custom
Ideal for
Organizations requiring SAML SSO, dedicated support, custom integrations, or on-premise deployment.
What this tier adds
Adds SAML/SSO, dedicated account manager, custom integrations, and on-premise options.
The company stage and team size where Zoo's pricing actually pencils out — and where peers do it cheaper.
Zoo's pricing is competitive for startups and individual engineers: Free tier for exploration, Pro at $50/mo (annual) or $60/mo (monthly) for full access. API usage is metered at $0.50/min per second. Enterprise custom pricing for larger teams. Compared to Fusion 360 ($70/mo) or SolidWorks ($4k+/yr), Zoo's AI features offer a different value proposition, but the ecosystem is less mature.
How long it actually takes to get something useful out of Zoo — broken out by persona, not the marketing-page minute.
For an individual engineer: sign up, download or use browser app, start a simple model with Zookeeper in under 10 minutes. For advanced scripting: spend 1-2 hours learning KCL basics. For CI/CD integration: set up CLI and API keys in under 30 minutes.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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