Sionic AI
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About
Sionic AI provides an enterprise-grade ecosystem designed to bridge the gap between AI potential and practical business application. Its flagship product, the STORM platform, allows business practitioners and subject matter experts to design, build, and deploy AI agents directly into their operational workflows. Unlike general-purpose chatbots, these agents are built to handle specific enterprise tasks, leveraging internal data and specialized logic to provide reliable outputs that align with corporate goals. The platform emphasizes an "AI Native" approach, ensuring that AI is not just a secondary add-on but a core component of business efficiency. The technology behind STORM consists of several integrated components, most notably STORM Parse and STORM Retrieval. STORM Parse functions as a high-performance data extraction tool, capable of converting unstructured documents into structured formats that AI models can easily ingest. STORM Retrieval then handles the efficient indexing and fetching of this data, ensuring that the AI agents have access to the most relevant, up-to-date information when performing tasks. This end-to-end pipeline allows for the creation of sophisticated Retrieval-Augmented Generation (RAG) systems that are grounded in a company's unique knowledge base. This suite is primarily intended for enterprise teams, including IT departments, operations managers, and data analysts who need to scale AI capabilities across an organization. It is particularly effective for industries with heavy documentation requirements or complex internal processes, such as finance, legal, and manufacturing. By providing a playground for testing and APIs for integration, Sionic AI enables developers and non-technical stakeholders to collaborate on AI solutions that are both scalable and secure, moving beyond simple automation to intelligent orchestration. What differentiates Sionic AI from other AI development platforms is its focus on the "practical practitioner." While many tools require extensive coding or data science backgrounds, STORM is structured to be accessible to those who understand the business logic best. Its regional presence in both Korea and Japan also highlights a focus on localized enterprise needs in the Asian market. The combination of high-fidelity document parsing and a streamlined agent-building environment provides a cohesive path for companies to transition from experimental AI pilots to full-scale production environments.
Pros & Cons
Includes specialized tools for parsing unstructured documents into AI-ready data.
Specifically designed for business practitioners rather than just software developers.
Provides a comprehensive end-to-end ecosystem from data extraction to agent deployment.
Maintains physical offices in Korea and Japan for localized enterprise support.
Offers a dedicated playground for testing APIs before full integration.
Requires direct contact with the sales team for specific pricing and plan details.
API documentation for STORM Parse may still require developer input for implementation.
Use Cases
Operational managers can use the STORM Platform to design custom AI agents that automate routine reporting and data entry tasks.
Data analysts can leverage STORM Parse to extract structured information from thousands of legacy PDF documents for database migration.
Enterprise IT teams can integrate STORM Retrieval APIs into existing internal portals to provide employees with an intelligent knowledge search tool.
Business practitioners can use the STORM playground to prototype AI-driven workflows before scaling them across the organization.
Platform
Task
Features
• multi-region support (korea and japan)
• support for unstructured data conversion
• visual agent playground
• openapi documentation
• enterprise ai consulting
• storm retrieval for rag systems
• storm parse document processing
• storm platform for agent design
FAQs
What is the primary function of STORM Parse?
STORM Parse is a specialized API designed to convert unstructured data from various document formats into structured data optimized for AI consumption. It allows businesses to unlock information trapped in complex PDFs and images for use in automated workflows.
Can non-technical staff use the STORM platform?
Yes, the platform is marketed as a practical solution where field practitioners can design AI agents without deep technical expertise. It aims to reduce the barrier for business users to implement AI directly into their daily operations.
Is there a way to test the technology before committing?
Sionic AI provides a dedicated playground for STORM Parse where users can experience the document processing capabilities firsthand. Interested enterprises can also request a consultation or demo through the contact page.
What kind of support is available for enterprise integration?
The company offers consultations with AI experts who have extensive experience in enterprise AI adoption. They provide guidance on selecting the right solutions between STORM Platform, Parse, and Retrieval based on specific business needs.
Pricing Plans
Enterprise
Unknown Price• STORM Platform access
• STORM Parse API
• STORM Retrieval API
• Enterprise consulting
• Custom agent design
• OpenAPI documentation access
• Production environment support
Job Opportunities
Forward Deployed Engineer Intern
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
AI Deployment experience
Flexible work hours
Global project opportunities
Series A backed company
Support for work tools
Experience Requirements:
Experience irrelevant
Solve problems with Python/Node/Go
Docker/Kubernetes understanding
Other Requirements:
3 months commitment
3+ days office work per week
Interest in AI domain
Responsibilities:
Define customer technical problems
Design solutions using STORM
On-site technical support
Product feedback and improvement
Show more details
Forward Deployed Engineer
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
Flexible time and location
Work tools support
Global project participation
High-trust culture
Series A stability
Experience Requirements:
1 to 3 years experience
Server-side language (Python/Node/Go)
Metric/Log/Tracing tool usage
Other Requirements:
Understand Docker/Kubernetes
Rapid learning of AI domains
Problem-solving mindset
Responsibilities:
Define technical tasks for customers
Implement realistic AI solutions
Deep technical on-site support
Collaborate with product teams
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ML/DevOps Engineer
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
Flexible work environment
Tech tools support
Series A funded
Work with ex-Naver/Line/Toss members
Growth-oriented culture
Experience Requirements:
3 years or more experience
Professional Kubernetes experience
Container-based orchestration
Cloud Managed Kubernetes operation
Other Requirements:
Interest in AI domain
Experience with Istio/Helm is a plus
Vector database operation experience
Responsibilities:
Build infrastructure for STORM platform
Research ML pipeline methodologies
Configure cost-efficient infra
Implement core resources and infra
Show more details
Ratings & Reviews
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