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Canals operates an end-to-end AI platform for wholesale distributors, automating workflows across sales, service, accounting, purchasing, and receiving. The stack reveals a mature DevOps posture (Kubernetes, Terraform, Ansible, CircleCI) paired with ML foundations (PyTorch, TensorFlow, scikit-learn), suggesting they're moving beyond workflow automation into predictive capabilities. Hiring velocity is accelerating with balanced engineering and sales investment, while active projects span frontend modernization, security hardening, and RevOps building—a pattern consistent with a platform scaling from early adoption into enterprise operations.
Tech Stack 39 technologies
Core StackHubSpot Salesforce Svelte TypeScript JavaScript Go Python Node.js Zendesk Postman FullStory AWS Terraform Ansible CircleCI Docker Kubernetes Prometheus Grafana Datadog AWS Lambda AWS RDS CloudWatch CloudFormation scikit-learn PyTorch TensorFlow Pandas AWS ECS IAM+9 more
What Canals Is Building
◆Challenges
- Growing security surface with scaling customers
- Scaling backend systems
- Reducing failure points in moving physical goods
- Automating tedious tasks
- Reducing failure points in supply chain
- Supporting rapid customer growth
- Raising security bar across product and infrastructure
- Clean data and pipeline hygiene
- Identifying funnel bottlenecks
- Building revops function from zero to one
▲Active Projects
- Frontend architecture
- Design system and component libraries
- Customer adoption and retention strategy
- Scalable systems and playbooks development
- Customer onboarding and training
- Design commission plans and incentive structures
- Implement scalable pipeline governance
- Security monitoring and incident response
- Build dashboards and reporting for leadership
- Marketing data strategy and tech stack
Hiring Activity
95 roles · 55 in 30d
Department
Seniority
Company intelligence
