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Cognida.ai Tech Stack

Enterprise AI platform with agentic automation for North American operations

Software Development Sunnyvale, California 201–500 employees Founded 2022 Privately Held

Cognida.ai builds AI-agentic software for large enterprises across manufacturing, retail, financial services, healthcare, and logistics. The tech stack—TensorFlow, PyTorch, scikit-learn across AWS/GCP/Azure, plus TypeScript/React and enterprise ERPs (Salesforce, NetSuite, Oracle, Coupa)—reflects a consultative systems-integration business rather than a pure SaaS play. Hiring is heavily skewed to senior engineering and lead-level roles, suggesting a services-and-solutions model where deep technical seniority maps to client implementation scope.

Tech Stack 55 technologies

Core StackTensorFlow PyTorch scikit-learn AWS TypeScript React Python Salesforce NetSuite Oracle Jira Figma Terraform Go Docker Kubernetes Elasticsearch Datadog CloudWatch GCP Azure Coupa Google Drive OneDrive Gemini Replit Bash AWS ECS AWS EKS Azure Kubernetes Service+25 more

What Cognida.ai Is Building

Challenges

  • Integrating saas with legacy systems
  • Managing edi integrations

Active Projects

  • Proprietary platform
  • Proof-of-concept demos
  • End-to-end enterprise integration solutions
  • Ai-driven workflow implementations
  • Feedback loop for product enhancements

Hiring Activity

Accelerating9 roles · 8 in 30d

Department

Engineering
7
Data
1
Product
1

Seniority

Senior
5
Lead
4
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About Cognida.ai

Cognida.ai delivers AI consulting and implementation services through its proprietary Zunō platform, helping enterprise customers across North America automate operations, improve forecasting, and streamline workflows. The company employs over 250 data scientists and AI engineers distributed across North America and India. Their stated focus areas are augmented analytics, decision intelligence, and generative AI applied to specific verticals—healthcare operations, financial-services invoice processing, manufacturing quote generation, and retail forecasting. Core pain points include integrating SaaS systems with legacy infrastructure and managing EDI workflows, both common friction points for mid-market and enterprise digital transformation projects.

HeadquartersSunnyvale, California
Company Size201–500 employees
Founded2022
Hiring MarketsIndia, United States

Frequently Asked Questions

What AI frameworks and cloud platforms does Cognida.ai use?

TensorFlow, PyTorch, and scikit-learn for modeling. AWS, GCP, and Azure for compute and infrastructure. Also uses Elasticsearch and Datadog for observability, and Kubernetes/ECS/EKS for orchestration.

What enterprise systems does Cognida.ai integrate with?

Salesforce, NetSuite, Oracle, and Coupa. The stack also includes Google Drive, OneDrive, and Jira, reflecting integration with both ERP platforms and common SaaS collaboration tools.

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How this profile is built

Cognida.ai'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.