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TAO The Automation Office Tech Stack

Agentic AI platform for enterprise document and workflow automation

IT Services and IT Consulting San Jose, CA 51–200 employees Founded 2016 Privately Held
taoautomation.com LinkedIn

TAO builds an agentic AI platform (Intellicient©) layered atop RPA foundations—UiPath, Blue Prism, Automation Anywhere—with heavy ML infrastructure (TensorFlow, PyTorch, ABBYY, Tesseract) for document intelligence. The stack reveals a company in transition from traditional RPA toward AI-native automation: ML and cloud services (Azure, AWS, GCP) are core, not bolt-ons. Hiring is engineering-concentrated (9 of 14 open roles) with senior-heavy seniority mix, but pain-point data shows execution friction—project delays, cost control, client expectation management—suggesting the scaling challenge is operational delivery, not just product development.

Tech Stack 38 technologies

Core Stack.NET C# C++ Python Azure Functions Docker TensorFlow PyTorch scikit-learn pandas AWS Java Visual Basic UiPath Blue Prism Automation Anywhere VBScript Azure Azure Service Bus Azure Blob Storage Azure Logic Apps Azure Kubernetes Service Keras Tesseract ABBYY OpenCV ImageMagick Azure Machine Learning GCP VB.NET+8 more
AdoptingAutomation Anywhere Blue Prism UiPath

What TAO The Automation Office Is Building

◆Challenges

  • Winning rpa projects
  • Delivering projects on time
  • Defining to-be processes
  • Managing program profitability and costs
  • Managing client expectations
  • Managing global remote delivery
  • Generating qualified business opportunities
  • Building client relationships
  • Scaling platform architecture
  • Manual process inefficiencies

▲Active Projects

  • Proof of concepts (pocs) and pilots
  • Rpa implementation projects
  • Process redesign initiatives
  • Ai/ml pipeline development
  • Cloud-native application deployment
  • Containerization on aks
  • Intelligent business process automation platform
  • Rpa solution development
  • Process automation assessments
  • Tool assessments

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Engineering
9
Ops
2
Sales
1
Technology
1

Seniority

Senior
6
Mid
3
Junior
1
Lead
1
Manager
1
Principal
1
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About TAO The Automation Office

TAO, founded in 2016 and headquartered in San Jose, designs and deploys intelligent automation solutions for mid-market and enterprise finance, procurement, supply chain, HR, IT, and shared services teams. The company markets two branded solutions: TAPP™ (Touchless Accounts Payable Process) and pAIges™, both targeting document-heavy workflows. TAO operates on a no-capex, outcomes-driven SaaS model. The customer base spans global enterprises; delivery is managed through distributed, remote teams. Active projects span RPA implementations, process redesign, AI/ML pipeline work, and cloud-native containerization—indicating a services-led go-to-market wrapped around platform IP.

HeadquartersSan Jose, CA
Company Size51–200 employees
Founded2016
Hiring MarketsIndia

Frequently Asked Questions

What automation platforms does TAO The Automation Office use?

TAO's core stack includes UiPath, Blue Prism, and Automation Anywhere for RPA, plus Azure services (Functions, Logic Apps, AKS) and ML frameworks (TensorFlow, PyTorch, scikit-learn, ABBYY). All three RPA platforms are in active adopting status.

What is TAO The Automation Office working on?

Active projects include RPA implementations, process redesign initiatives, AI/ML pipeline development, cloud-native application deployment on Azure Kubernetes Service, and platform architecture scaling. Proof-of-concept and pilot work is ongoing.

How this profile is built

TAO The Automation Office's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.