Skan AI Tech Stack

Enterprise work intelligence platform for AI-powered process automation

Software Development Menlo Park, California 201–500 employees Founded 2018 Privately Held

Skan AI captures operational ground truth across enterprise application stacks to train AI agents on how work actually happens—not documentation or logs. The tech stack is heavily ML-focused (TensorFlow, PyTorch, Hugging Face, LLaMA, BERT) paired with cloud infrastructure (Azure, AWS, GCP, Kubernetes), signaling a platform built to handle complex, multi-layered process data at scale. Hiring velocity is accelerating with 18 roles posted in the last 30 days, concentrated in engineering and data—matching the active workload of large-scale customer deployments and next-generation platform buildouts.

Tech Stack 77 technologies

Core StackTensorFlow PyTorch Hugging Face scikit-learn Docker AWS Kubernetes Linux Python RabbitMQ PostgreSQL MongoDB GitHub Jira Cursor GitHub Copilot HubSpot Azure GCP GPT BERT LLaMA Bash OpenAI API Azure Pipelines Azure Boards Azure Repos Azure Container Registry SQLAlchemy Alembic+47 more

What Skan AI Is Building

◆Challenges

Process inefficiencies
System performance issues
New customer deployments
Value realization
Major upgrades
Complex process automation
Category creation
Process optimization and cost reduction
Complex process transformation programs
Complex large-scale deployments

▲Active Projects

Upgrading existing large-scale customer environments
New customer gateway deployments
Configure and operationalize skan.ai solutions
Full-cycle implementations
Enable customer centers of excellence
Next-generation paas platform implementation
Product marketing infrastructure
Competitive intelligence
Agentic ai platform
Customer onboarding and implementation program

Hiring Activity

Accelerating25 roles · 20 in 30d

Department

Engineering

Data

Marketing

Product

Sales

Support

Customer-Success

Executive

Seniority

Senior

Director

Mid

Lead

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About Skan AI

Skan AI is a process intelligence platform that translates human workflows into structured data for autonomous AI agents. The company serves enterprise customers running complex, multi-system operations where documentation and logs don't capture the ground truth of how work gets done. The product sits across customer application stacks—capturing process flows, task sequences, and operational patterns—and uses that data to train AI agents to handle enterprise-specific automation autonomously. With 201–500 employees based in Menlo Park, the company is actively scaling customer deployments, centers of excellence programs, and a next-generation PaaS platform.

HeadquartersMenlo Park, California

Company Size201–500 employees

Founded2018

Hiring MarketsIndia, United States

Frequently Asked Questions

What is Skan AI's tech stack?

ML frameworks (TensorFlow, PyTorch, Hugging Face, LLaMA, BERT), cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), databases (PostgreSQL, MongoDB), and OpenAI API integration.

Where does Skan AI hire?

United States and India. The company has active recruiting in both countries.