AI inside
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About
AI inside is a comprehensive AI platform provider focusing on business process automation and digital transformation. It offers a suite of products designed to handle various stages of the data lifecycle, from digitizing analog information to utilizing internal data for complex decision-making. The core ecosystem includes DX Suite for AI-OCR, Leapnet for RAG-based AI agent construction, and AI inside Cube for secure edge computing environments. This integrated approach allows businesses to move beyond simple automation toward a fully autonomous AI infrastructure. The platform distinguishes itself through its proprietary Large Language Model, PolySphere-4, which is specifically optimized for Japanese document processing and linguistic nuances. DX Suite, the flagship product, achieves a reading accuracy of 99.6% across both fixed and non-fixed formats, leveraging "Critic Intelligence" to detect and flag potential errors automatically. Leapnet complements this by allowing organizations to turn internal data into actionable knowledge, building RAG-driven AI agents that integrate directly into existing workflows without requiring extensive coding expertise. This toolset is primarily engineered for large enterprises, government agencies, and medical institutions that manage high volumes of documents and sensitive data. For example, local governments in Japan use the platform via LGWAN-compatible networks for secure administrative processing, while medical facilities employ it to automate clinical DX projects. It is ideal for organizations that prioritize data security and sovereignty but want to harness the power of generative AI and autonomous agents for operational efficiency. What sets AI inside apart is its philosophy of integrating AI so seamlessly into hardware and software that it becomes invisible to the user. Unlike cloud-only competitors, their AI inside Cube provides a powerful on-premise edge computing solution, ensuring data never leaves the facility for high-security sectors. Furthermore, their continuous development of Japanese-specific LLMs ensures that their document understanding capabilities remain superior for local business contexts, bridging the gap between physical documents and digital intelligence.
Pros & Cons
Industry-leading 99.6% OCR accuracy for Japanese text and handwriting.
Provides dedicated edge hardware for maximum data privacy and security.
Specialized LLM (PolySphere-4) specifically optimized for Japanese document context.
End-to-end automation that handles both data input and subsequent task execution via agents.
Trusted by major Japanese infrastructure providers like NTT East and West.
Primary documentation and user interfaces are focused heavily on the Japanese market.
Requires specific proprietary hardware for the full on-premise experience.
Public pricing details are not disclosed and require a custom inquiry.
Use Cases
Local government administrators can automate the digitization of diverse paper applications via secure LGWAN-compatible networks.
Medical professionals can implement medical DX projects to automate data entry and improve regional healthcare quality.
Enterprise managers can turn vast internal document repositories into searchable knowledge bases using Leapnet's RAG agents.
Finance departments can automate the processing of non-standard invoices and receipts with high-accuracy AI-OCR.
Platform
Task
Features
• on-premise deployment options
• multimodal ai processing
• support for fixed and non-fixed forms
• critic intelligence for error detection
• edge computing hardware (ai inside cube)
• proprietary japanese-specialized llm (polysphere-4)
• rag-based ai agent construction
• high-accuracy ai-ocr (99.6%)
FAQs
What is the reading accuracy of DX Suite's AI-OCR?
DX Suite achieves an industry-leading reading accuracy of 99.6% for both fixed and non-fixed format documents. This high precision is powered by the proprietary PolySphere-4 LLM and Critic Intelligence, which helps identify and correct errors.
Can I use AI inside's technology in a high-security on-premise environment?
Yes, the AI inside Cube is a dedicated edge computing hardware designed for secure, on-premise AI implementation. It allows organizations to utilize AI without sending sensitive data to the cloud, making it suitable for government and healthcare sectors.
What is Leapnet and how does it benefit my business?
Leapnet is a platform that allows users to build custom AI agents using Retrieval-Augmented Generation (RAG) and internal company data. It simplifies the process of creating high-quality AI assistants that are directly linked to specific business tasks and internal knowledge bases.
How does AI inside handle Japanese document processing?
The company has developed its own LLM family, including the latest PolySphere-4, which is specifically trained for the nuances of Japanese documents. This focus ensures higher accuracy in understanding and processing Japanese text compared to generic global models.
Pricing Plans
Enterprise
Unknown Price• High-accuracy AI-OCR
• Leapnet AI Agent Platform
• AI inside Cube Edge Hardware
• Critic Intelligence Error Detection
• PolySphere-4 LLM Integration
• On-premise deployment options
• Dedicated support
• Custom AI training
Job Opportunities
Corporate Sales
Automate complex data entry and build custom AI agents with high-accuracy Japanese OCR and RAG platforms designed for secure enterprise business transformation.
Benefits:
Social insurance (Health, Pension, Employment, Compensation)
Jibutsuku (Learning support allowance)
Telework allowance
GLTD insurance
Stock benefit trust system
Experience Requirements:
3+ years of sales experience in the IT industry (preferred)
Experience with interpersonal communication (listening/questioning skills)
Basic proficiency in SFA, email, and Office tools
Other Requirements:
Self-starter with proactive action
Positive mindset for continuous improvement
Ability to involve others to achieve results
Commitment to results without making excuses
Responsibilities:
Respond to inbound leads from customers
Conduct hearings to identify challenges and create projects
Propose AI SaaS solutions based on customer needs
Acquire new contracts and achieve sales targets
Maintain high-speed business execution in a SaaS environment
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Customer Success Manager
Automate complex data entry and build custom AI agents with high-accuracy Japanese OCR and RAG platforms designed for secure enterprise business transformation.
Benefits:
Social insurance complete
Jibutsuku (Learning support)
Telework allowance
GLTD insurance
LIFT! welfare package
Experience Requirements:
Experience in B2B customer negotiation and proposal
Understanding of 'The Model' type sales/CS processes (funnels, stages)
Experience in project promotion or team management (preferred)
Other Requirements:
Customer-centric mindset
Persistence to see things through
Willingness to learn new technologies and processes
Proficiency in Salesforce, Tableau, Figma, or Databricks (preferred)
Responsibilities:
Provide high-touch support for onboarding and adoption of AI-OCR services
Analyze customer usage data to create utilization strategies
Conduct regular reviews to visualize results and propose new phases
Promote upsell/cross-sell and account growth
Collaborate with product teams for feature improvement based on feedback
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Ratings & Reviews
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