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BIM Monkey - AI Drafting Automation for Revit on AWS

BIM Monkey · Operations & Productivity

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

## BIM Monkey - AI Drafting Infrastructure for Architecture Firms

BIM Monkey automates construction-document production for architecture firms using Autodesk Revit. The platform handles sheets, dimensions, details, schedules, IBC code checks, and drawing audits - all driven by an AI assistant called Banana Chat that executes commands directly inside Revit.

Show the rest of the publisher’s description (30 more lines)

**Runs in your own AWS account via Amazon Bedrock.** Enterprise firms deploy the entire AI stack privately: Claude inference through Amazon Bedrock in their own AWS account, firm data stored in their own database with full data residency control, and no shared-API exposure.

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## How It Works

  • **Banana Chat AI Assistant:** A conversational interface trained on your firm's own past drawing sets and standards. Issue natural-language commands and the AI produces construction documents that follow your actual conventions - not generic templates.
  • **Approve/Edit/Deny Review Loop:** Every AI-generated output goes through a human review cycle. Approve correct work, edit where needed, or deny and retrain. The system learns your firm's preferences over time, continuously improving accuracy.
  • **Agent Access (Hosted MCP Server):** A hosted Model Context Protocol server that lets any compatible AI assistant - Claude, Cursor, Gemini, or Codex - securely query your firm's drawing library, standards, and compliance history. Extend your AI workflows beyond a single tool.

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## Key Capabilities

  • Automated sheet creation and layout
  • Intelligent dimensioning
  • Detail generation from firm libraries
  • Schedule production and formatting
  • IBC code compliance checks
  • Drawing audit and quality control
  • Firm-specific AI training from historical drawing sets

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## Built for AWS-Native Enterprises

BIM Monkey's Private AI architecture is designed for organizations with AWS commitments and strict security requirements:

  • **Amazon Bedrock Integration:** Claude inference runs natively in your AWS account - no data leaves your environment for AI processing.
  • **Data Residency:** Firm drawings, standards, and compliance history remain in your own database under your control.
  • **Security Review Ready:** Because the AI stack runs within your existing AWS infrastructure, procurement and IT teams can approve deployment through standard cloud governance processes.

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## Who It's For

  • **Small-to-mid-size architecture firms** seeking large-office drawing production capacity without scaling headcount
  • **Enterprise architecture practices** requiring private AI deployment with full data control
  • **AWS-committed organizations** looking for Bedrock-native professional tools that align with existing cloud investments

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## Architecture Overview

BIM Monkey consists of two components: a cloud-based SaaS platform (app.bimmonkey.ai) that manages subscriptions, AI training, and the Agent Access MCP server, plus a Revit plugin installed locally that connects Banana Chat directly to your active Revit projects. The AI inference layer leverages Amazon Bedrock within your AWS account for enterprise deployments, ensuring complete isolation of your intellectual property.

Get started by subscribing through AWS Marketplace and connecting your Revit environment to begin automating construction document production with AI trained on your firm's own standards.

Highlights

Highlighted by the publisher on AWS Marketplace.

Private AI on Amazon Bedrock - BIM Monkey runs Claude inference in your own AWS account, keeping all firm drawings, standards, and compliance data within your environment. No shared APIs, no data leaving your infrastructure. Procurement and IT teams can approve deployment through standard AWS governance processes, making security review straightforward for enterprise architecture practices with strict data residency requirements.

Firm-Trained AI That Learns Your Standards - Unlike generic templates, Banana Chat is trained on your firm's own past drawing sets and conventions through an approve/edit/deny review loop. The AI produces construction documents - sheets, dimensions, details, schedules, and IBC code checks - that match how your firm actually works. Accuracy improves continuously as your team reviews and refines output over time.

Agent Access via Hosted MCP Server - Extend your AI capabilities beyond Revit with a hosted Model Context Protocol server that lets any compatible AI assistant (Claude, Cursor, Gemini, Codex) securely query your firm's drawing library, standards, and compliance history. Small-to-mid-size firms gain large-office production leverage while enterprise teams integrate BIM Monkey into broader AI-assisted workflows across their organization.

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Plans and pricing as listed

4 listed
Seat
  • Users
$18,000.00
P36M
Seat
  • Users
$750.00
P1M
Seat
  • Users
$6,000.00
P12M
Seat
  • Users
$12,000.00
P24M

Refund terms

As stated by the publisher on AWS Marketplace.

BIM Monkey offers a 30-day money-back guarantee on 12-month and longer contracts, and a 14-day money-back guarantee on 1-month contracts, measured from the initial purchase date. To request a refund, email hello@bimmonkey.ai from your account email with your AWS account ID and purchase details; approved refunds are processed through AWS Marketplace. Renewals and partial-term cancellations are not refundable after the guarantee period. We respond to refund requests within 2 business days.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

4 links
See product videovimeo.comSource
Installbimmonkey.aiSource
Securitybimmonkey.aiSource
How It Worksbimmonkey.aiSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
4 plans listed
Delivery
SaaS
Install: https://bimmonkey.ai/install Security: https://bimmonkey.ai/security How It Works: https://bimmonkey.ai/how-it-works BIM Monkey provides support for all subscribers through AWS Marketplace. For assistance with account setup, Revit plugin installation, AI training configuration, or any technical issues, please contact the BIM Monkey support team. Support is available for: - Account provisioning and subscription management - Revit plugin installation and connectivity - Banana Chat AI assistant configuration - Firm-specific AI training and the approve/edit/deny review workflow - Agent Access (MCP server) setup and integration - Amazon Bedrock private deployment configuration for enterprise accounts - Troubleshooting and bug reports - Refund requests To reach support, visit app.bimmonkey.ai and use the in-app help resources or contact the team directly.
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