We Build AI Systems That Run Your Business.

We engineer custom AI systems that automate your core operations,
giving your business the power to execute and scale around the clock.

Timeline

The Evolutionary Trajectory of Autonomous Systems

Phase 0

Initial Vision

Planned a multi-agent architecture to automate an engineering office with digital coworkers.

Core Structure

  • Orchestrator Agent
  • Intake and Planner Agents
  • Designer and Drafter Agents
  • Sector Head Agents with Sub-Agents
Phase 1

Planner Agent MVP

Built the first working version of the Planner Agent to establish foundational planning autonomy.

Key Capabilities

  • Basic project planning capability
  • Task breakdown and execution scoping
Phase 2

Designer Agent v1

Built a Designer Agent that generated architectural drawings using AI image-generation models.

Outcome and Findings

  • High visual accuracy in concept renderings
  • Output did not conform to industry technical drawing standards
Phase 3

Drafter Agent v1

Built a Drafter Agent that took Designer outputs and performed drafting using AI image-generation models.

Drafting Disciplines

  • Architectural and civil drafting
  • Electrical and mechanical system detailing
Phase 4

Strategic Pivot to Planner Scale

Dropped the image-generation approach entirely and redirected effort into advancing the Planner Agent.

Expanded Scope

  • Project management
  • Application creation
  • Document writing
  • General end-to-end planning tasks
Phase 5

AutoCAD Agent Concept

Introduced a new concept where a drafter prompts the agent to execute drawing operations directly inside AutoCAD.

Outcome and Findings

  • Direct in-software command execution
  • Drawings generated, but output was erratic and inconsistent
Phase 6

Consolidation

Merged the AutoCAD Agent into the Planner Agent, unifying everything into a single platform.

Key Results

  • Unified planning and CAD execution platform
  • Centralized toolchain for engineering operations
Phase 7 (Current)

Human Data Collection

Using the unified Planner Agent platform to gather real-world data from human drafters and designers.

Study Areas

  • Real-world AutoCAD workflows and command patterns
  • Engineering decisions and drafting conventions
Phase 8 (Future)

Structured Training Pipeline

Building a dedicated data training procedure to empower autonomous engineering execution.

Implementation Goals

  • Domain-specific tools and procedural instructions
  • Human-derived CAD workflow datasets
  • Drawings that genuinely meet professional standards