BoE-Vector
Scanned drawing vectorization, layer separation, and OCR. Available in Lite, Pro, and Ultra tiers.
Turn engineering drawings into computable assets.
Four Core Models
Each model can be used on its own or combined into an end-to-end workflow, giving teams a clear way to understand capabilities, boundaries, and integration paths.
BoE-Parse
Structured drawing parsing for objects, regions, layer relationships, and topology.
BumbleBee-Know
An LLM and agent reasoning layer for engineering knowledge, cross-code semantic understanding, task orchestration, and explainable decision support.
BumbleBee-Gen
Automatic component layout, route generation, and result validation based on structured drawing models and business rules, with write-back support.
Two Core Engines
On top of the model layer, BeesAI provides 2D and 3D graphics engines built for architecture and engineering workflows, covering rendering, editing, and result write-back.
2D Rendering Engine
High-performance rendering for large DWG files, with accurate support for layers, multiple viewports, line styles, line weights, and annotation display.
Use cases: drawing review, scheme comparison, detail zoom, and online markup.
2D Editing Engine
Object-level DWG editing for points, lines, entities, layer properties, dimensions, and batch updates, while preserving downstream editability.
Use cases: drawing revision, rule correction, manual review of generated results, and fast write-back.
3D Rendering Engine
Lightweight rendering for architectural, MEP, and fire protection models, with layered components, section views, and discipline-linked visual review.
Use cases: design communication, multidisciplinary review, and pre-construction visualization.
3D Editing Engine
Component-level parameter editing, constraint adjustment, and conflict guidance for 3D model updates that stay connected to the engineering data chain.
Use cases: scheme iteration, MEP and fire protection adjustment, and cross-phase design collaboration.
Closed-Loop Workflow
Model capabilities are organized into an executable loop: understand drawing structure, orchestrate reasoning with agents, then generate, validate, and write results back.
01
Drawing Structure
Vector and Parse convert scanned drawings into structured models with objects, regions, and topology.
02
Reasoning and Orchestration
Know serves as the LLM and agent layer for code understanding, constraint extraction, task decomposition, and explainable decision paths.
03
Generation and Write-Back
Gen executes layout generation, routing, and rule validation, then outputs results, reports, and write-back data.
Integration and Deployment
Our capabilities can be embedded into existing engineering systems without rebuilding the workflow. The focus is fast integration and traceable delivery.
Integration Methods
- REST API and SDK access to model capabilities
- Webhook callbacks and task status tracking
- Structured outputs, validation reports, and write-back data delivery
- Integration with CAD systems, review platforms, and project systems
Deployment and Security
- SaaS, dedicated instance, and private deployment options
- Organization and project isolation with access control
- Auditing, quota management, and traceable logs
- Compatibility with existing engineering delivery processes
Get In Touch
Explore an AI Pilot
Share three to five representative drawings and your target requirements, and we can help shape an execution plan around your workflow.