AITOMATIC builds AI agents that capture and apply industrial expertise to automate and optimize complex operational workflows. It converts domain knowledge into reusable intelligence via its DXA Factory and Cognitive Ontology, powering Dana Agents that reason, act, and learn from outcomes. The company delivers these capabilities as a SaaS platform using neurosymbolic AI, large language models, and machine learning to enable predictive maintenance, process optimization, and decision automation. Typical customers include semiconductor, manufacturing, and energy companies seeking production-grade autonomy in high-stakes environments. Aitomatic integrates domain ontologies and model-based reasoning to scale expert knowledge across deployments and compound intelligence over time.
AI AgentsDomain-Expert AIIndustrial AILarge Language ModelsNeurosymbolic AIPredictive MaintenanceProcess OptimizationSemiconductor Industryaitomatic.com
AITOMATIC
AITOMATIC builds AI agents that capture and apply industrial expertise to automate and optimize complex operational workflows. It converts domain knowledge into reusable intelligence via its DXA Factory and Cognitive Ontology, powering Dana Agents that reason, act, and learn from outcomes. The company delivers these capabilities as a SaaS platform using neurosymbolic AI, large language models, and machine learning to enable predictive maintenance, process optimization, and decision automation. Typical customers include semiconductor, manufacturing, and energy companies seeking production-grade autonomy in high-stakes environments. Aitomatic integrates domain ontologies and model-based reasoning to scale expert knowledge across deployments and compound intelligence over time.
AI AgentsDomain-Expert AIIndustrial AILarge Language ModelsNeurosymbolic AIPredictive MaintenanceProcess OptimizationSemiconductor Industryaitomatic.com
HQPalo Alto, US
Team Size26
Open Jobs1
Total Funding-
Latest Fundraise4 years ago
TL;DR
Founded: 2021
Headquarters: Palo Alto, California
Product: SaaS platform delivering domain-specialist AI agents (neurosymbolic + LLMs) for industrial operations
Industry focus: Semiconductor, manufacturing, energy, maritime, agriculture
Notable investors: Ascend Vietnam Ventures (AVV), Larry Kubal, Tess Ventures
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Company Overview
Problem Domain
Automating and optimizing complex operational workflows by converting expert domain knowledge into reusable AI agents.
Founded
2021
Industry
Software Development
Tech Stack
neurosymbolic AI
large language models
machine learning
cognitive ontology
model-based reasoning
Funding Track Record
Seed- 2021-12-02
Investors reported for this round include Ascend Vietnam Ventures (AVV), Larry Kubal, and Tess Ventures.
Investor Signal
“Participated investors include VC (Ascend Vietnam Ventures) and angel/individual investors”
Founders
What we do
Join the Team
Senior Software Engineer
On-SiteHo Chi Minh City, VN
On-Site • Ho Chi Minh City, VN
We are seeking a highly skilled and motivated Senior Software Engineer to join our team. As a Software Engineer, you will have the opportunity to work on a state-of-the-art AI product and play a crucial role in developing robust and scalable software solutions. You will collaborate with cross-functional teams to design, implement, and optimize the software components that drive our AI product's functionality.
In this role, you will work closely with our AI experts to develop cutting-edge algorithms and models, leveraging your software engineering expertise to ensure efficient and high-performance execution. You will be responsible for writing clean and maintainable code, implementing software engineering best practices, and contributing to the overall architecture and design of our AI product.
This is an exciting opportunity to be part of a dynamic team at the forefront of AI innovation. Your work will contribute to the development of a state-of-the-art AI product that will have a significant impact in various industries. If you are passionate about software engineering and want to be part of a team that is shaping the future of AI, we would love to hear from you.
About the Role:
Develop and maintain a robust product software framework to facilitate the expansion and adaptation of our AI product for different enterprise customers.
What Makes You a Good Fit:
Must Have:
Great to have:
Experience with building SAAS and real-time messaging systems.
Experience with generative AI systems or related technologies.
Familiarity with Azure or AWS services, such as cloud computing, storage, or machine learning platforms.
If you are passionate about pushing the boundaries of AI technology, possess strong technical skills, and thrive in a collaborative environment, we encourage you to apply. Join us in shaping the future of AI solutions and making a significant impact in the industry.
Why you'll love working here
Attractive compensation and benefits commensurate with experience.
Generous daily lunch allowance of $10 per day, provided to each team member.
Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations.
An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers.
A collaborative work environment that fosters teamwork, knowledge sharing, and innovation.
Fun team activities & outing
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Design and implement scalable software architectures and systems to support rapid development and integration of new features.
Create reusable components, libraries, and tools that enable other developers to efficiently build and extend the product.
Collaborate with cross-functional teams, including AI experts and product managers, to define software requirements and ensure alignment with customer needs.
Ensure the software framework is well-documented, well-tested, and follows best practices for code quality and maintainability.
Continuously improve the software development processes and tools to enhance productivity and efficiency.
Stay up-to-date with the latest trends and advancements in software engineering to incorporate new technologies and techniques into the product framework.
Provide technical guidance and mentorship to other developers to promote knowledge sharing and skill development.
Actively participate in code reviews and collaborate with the team to address technical challenges and ensure high-quality code.
Contribute to the overall product strategy and roadmap by providing insights and recommendations based on software engineering expertise.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Strong experience in software engineering, including designing and building complex software systems using Python.
Proficiency in Python programming, with a focus on writing clean, efficient, and maintainable code.
Solid understanding of software development principles, practices, and methodologies.
Experience with interfacing and working with cloud-based services and architectures, such as Azure or AWS.
Knowledge of software development best practices, including version control, testing, and documentation.
Strong problem-solving and analytical skills, with the ability to identify and resolve technical challenges.
Ability to collaborate effectively with cross-functional teams and communicate technical ideas to both technical and non-technical stakeholders.
Commitment to writing high-quality code, following best practices, and ensuring code is well-documented and testable.
Ability to work independently and take ownership of projects, while also being a collaborative team player.
Strong problem-solving and analytical skills, with the ability to quickly grasp complex concepts and technologies.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Self-motivated, with a passion for learning and staying updated with emerging technologies.
Knowledge of working with Large Language Models (LLMs) or similar natural language processing technologies.
Understanding of machine learning algorithms and frameworks, such as TensorFlow or PyTorch.
Familiarity with frontend technologies, such as HTML, CSS, and JavaScript.
Experience in developing scalable and distributed systems.
Strong problem-solving and troubleshooting abilities, with a proactive approach to identifying and resolving issues.
Passion for learning and staying up-to-date with the latest advancements in software engineering and AI.
Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
Familiarity with Agile/Scrum methodologies and experience working in an Agile development environment.
