Internship

Software Engineer – Intern

Winter 2025

Confirmed live in the last 24 hours

Kognitos

Kognitos

51-200 employees

Automation platform for structured and unstructured data

Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

San Jose, CA, USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Python
Git
Data Structures & Algorithms
Java
C/C++
Data Analysis
Requirements
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Strong programming skills in languages such as Python, Java, C++, or similar.
  • Familiarity with software development methodologies and tools.
  • Basic understanding of algorithms, data structures, and computer science principles.
  • Experience with version control systems like Git.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Eagerness to learn and adapt in a fast-paced environment.
Responsibilities
  • Collaborate with the engineering team to design, develop, and maintain software applications.
  • Write clean, efficient, and well-documented code.
  • Participate in code reviews and provide constructive feedback.
  • Assist in troubleshooting and debugging software issues.
  • Contribute to the development of new features and enhancements.
  • Work on projects involving AI, machine learning, and data analysis.
  • Stay up-to-date with the latest industry trends and technologies.

Kognitos provides an automation platform designed for businesses to manage both structured and unstructured data, as well as complex workflows. The platform is particularly beneficial for companies with extensive document processes and those that frequently deal with exceptions in their operations. It allows users to automate repetitive tasks, saving time and reducing manual effort, and is accessible to individuals with mid-level technical skills due to its user-friendly interface and no-coding requirement. Kognitos differentiates itself from competitors by utilizing Generative AI and a Human Language Interpreter, enabling users to teach the platform how to handle exceptions using natural language, which simplifies the automation development process. The goal of Kognitos is to help businesses streamline their operations and reduce costs through effective automation.

Company Stage

Series A

Total Funding

$27.6M

Headquarters

San Jose, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

31%

1 year growth

102%

2 year growth

368%
Simplify Jobs

Simplify's Take

What believers are saying

  • Kognitos' partnership with Wipro and investment from Wipro Ventures highlight its potential for large-scale deployment and growth in automation solutions.
  • Winning the ISG Startup Challenge underscores Kognitos' innovative approach and market appeal in the AI and automation sectors.
  • The recent $20M Series A funding led by Khosla Ventures provides Kognitos with the financial backing to expand its AI capabilities and market reach.

What critics are saying

  • The competitive landscape in AI-driven automation is intense, with numerous startups and established players vying for market share.
  • Reliance on Generative AI and natural language processing may face challenges in accurately handling complex exceptions and nuances in business processes.

What makes Kognitos unique

  • Kognitos leverages Generative AI and a Human Language Interpreter to simplify automation, setting it apart from traditional automation tools that require coding expertise.
  • The platform's ability to handle both structured and unstructured data makes it versatile for complex workflows, unlike many competitors that focus on one data type.
  • Kognitos' no-coding, user-friendly interface democratizes automation, making it accessible to users with mid-level technical skills, unlike platforms that require specialized knowledge.

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