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Tektome Tech Stack
AI-powered design intelligence platform for architecture and construction
Tektome applies AI to the architecture, engineering, and construction (AEC) sector via a multi-tenant SaaS platform on Azure. The stack is backend-heavy (.NET, C#, Python, Kafka, PostgreSQL) with deep integrations into AEC-specific tools (Revit); the engineering-first hiring mix (10 of 12 core staff) and active projects around unified data layers and monitoring suggest they're solving a core infrastructure problem — unifying ingestion, storage, and compute for design data at scale.
Tech Stack 45 technologies
Core StackC# C++ .NET PostgreSQL Redis Docker Kubernetes Kafka RabbitMQ Jira Terraform GitHub Actions Ansible SonarQube Prometheus Grafana Python Figma Miro Revit Elasticsearch Django Celery Notion Azure Bash PowerShell Azure Container Apps Azure Key Vault Django Ninja+14 more
What Tektome Is Building
◆Challenges
- Unifying ingestion storage compute layer
- Production-grade system uptime
- Incident response
- Scaling production systems
- Lack of established sales process
- Complex enterprise challenges
- Need to design proposals
- Ai×aec未成熟領域
- Customer business challenges
- Ai not adopted
▲Active Projects
- Develop ai integration apis
- Tektome platform implementation
- Poc design and closing
- Prototype unified data layer for aec
- Prototype backend solutions
- Implement monitoring solutions
- Enterprise saas implementation
- Multi-tenant saas platform on azure
- Ci/cd pipeline implementation with github actions
- Ansible configuration automation
Hiring Activity
Minimal15 roles · 1 in 30d
Department
Seniority
Company intelligence
