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Spacial Tech Stack
AI-assisted structural and MEP engineering for residential permit submissions
Spacial pairs AI agents with licensed engineers to convert architectural drawings into permit-ready plans. The tech stack reveals a modern, AWS-native infrastructure (Lambda, SQS, Step Functions, RDS) paired with computer vision (OpenCV) and geometry computation (NumPy, SciPy), supporting their stated focus on automating structural and MEP workflows. Active project work on LLM fine-tuning, generative AI for design, and core algorithm development signals they are still building core automation—not yet at scale—while simultaneously investing in go-to-market infrastructure.
Tech Stack 37 technologies
Core StackCloudFront AWS Lambda AWS RDS CloudFormation Terraform React Node.js AWS DynamoDB Python NumPy Postman Playwright Cypress Selenium Jira AWS API Gateway AWS SNS AWS SQS EventBridge AWS Step Functions Amazon Cognito AWS EBS AWS ECS SciPy OpenCV Swagger TestRail ArchiCAD Twinmotion+7 more
What Spacial Is Building
◆Challenges
- Scaling early-stage go-to-market strategies
- Reducing approval time
- Streamlining engineering workflow
▲Active Projects
- Scalable gtm processes
- Sales playbooks
- Lead generation strategies
- Core algorithm development for structural and mep automation
- Computational pipeline integration for geometry and ai logic
- Prototype new methods for design analysis and optimization
- Generative ai systems for construction and design
- Llm fine-tuning and rag optimization
- Computer vision algorithms for product enhancement
Hiring Activity
Steady7 roles · 3 in 30d
Department
Seniority
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