Canals automates order entry, quoting, and AP workflows for distributors using a machine-learning stack (PyTorch, TensorFlow, scikit-learn) that learns from customer data over time. The company is in rapid hiring mode across support (63 open roles), engineering (46), and marketing (35) — a support-heavy mix unusual for an early-stage automation vendor, signaling either high customer onboarding demand or scaling friction that outpaced product maturity. Active projects center on customer onboarding, SLAs, and adoption retention, reinforcing that go-to-market efficiency is as critical as the AI engine.
Canals builds AI-powered automation for distribution companies — specifically targeting sales quoting, purchase order workflows, and accounts payable processes. The product integrates directly into existing ERP systems with minimal setup and adapts its models as teams use it. Founded in Coral Gables, Florida, the company operates across the United States, Colombia, Argentina, Brazil, Mexico, Chile, and Canada. With 11–50 employees officially, but 219 active open roles posted in the last 30 days, Canals is in the midst of significant scaling, particularly in support and engineering functions.
Canals runs on TypeScript and Python for application code, PyTorch and TensorFlow for ML, and AWS infrastructure (Lambda, RDS, ECS, CloudFormation). Deployment is managed via Terraform, Ansible, and GitHub Actions, with observability from Prometheus, Grafana, and Datadog.
Canals is headquartered in Coral Gables, Florida and operates globally across seven countries: the United States, Colombia, Argentina, Brazil, Mexico, Chile, and Canada.
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