Kognitos Tech Stack

Neurosymbolic AI platform for governed enterprise process automation

Software Development Mountain View, California 51–200 employees Founded 2020 Privately Held

Kognitos builds a neurosymbolic AI platform positioned as an alternative to traditional RPA and black-box automation. The stack—Python, TensorFlow, PyTorch, Databricks, Snowflake, plus Blue Prism and MuleSoft integration—reveals a hybrid approach combining deep learning with symbolic logic. Active projects in agentic workflows, fine-tuning optimization, and financial-services GTM signal movement toward autonomous agents rather than static bots, while pain points around minimizing AI errors and compliance reflect the core value proposition: automation that governance can audit and control.

Tech Stack 22 technologies

Core StackPython MuleSoft Databricks Snowflake AWS TensorFlow PyTorch Cursor JavaScript React Node.js Salesforce Apache Spark Kubernetes TypeScript Next.js Blue Prism GCP Azure RPA Ray HTML5

What Kognitos Is Building

◆Challenges

Optimizing resource usage for training
Minimizing errors in ai workflows
Reducing operational expenses through ai
Scaling enterprise sales
Complex enterprise buying processes
Modernizing enterprise workflows
Compliance and security challenges
Identifying high-value automation opportunities

▲Active Projects

Efficient fine-tuning
Agentic workflows
Multimodal language models
Building gtm motion for ai in financial services
Evaluations and pilots with solutions engineering

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

Sales

Seniority

Mid

Senior

Intern

Staff

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About Kognitos

Kognitos develops an AI automation platform for enterprise operations, combining neurosymbolic AI (a mix of neural networks and symbolic reasoning) with governance-focused design. The company targets mid-market and enterprise buyers facing complex process modernization, particularly in financial services. Founded in 2020 and based in Mountain View, the 51–200-person organization is balanced between engineering and sales, with hiring accelerating across both functions. The platform consolidates RPA, integration, and ML tooling into a single interface, positioning Kognitos as an alternative to fragmented stacks of Blue Prism, UiPath, or MuleSoft deployments.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States, India

Frequently Asked Questions

What is Kognitos' tech stack?

Core: Python, TensorFlow, PyTorch, Databricks, Snowflake. Integrations: Blue Prism, MuleSoft, Salesforce. Infrastructure: AWS, GCP, Azure, Kubernetes. Frontend: React, Next.js, Node.js, TypeScript.

What is Kognitos working on?

Active focus areas: agentic workflows, efficient fine-tuning, multimodal language models, financial-services GTM motion, and pilot evaluations with solutions engineering teams.

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How this profile is built

Kognitos'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.