AI inside

Enterprise AI · Document Automation · AI Infrastructure · Minato, Tokyo

AI inside develops AI software and infrastructure for organizations digitizing document-heavy work. Its core DX Suite uses AI-OCR and agents to collect, classify and convert forms and other documents into structured data in cloud or on-premises environments. Leapnet lets businesses build and deploy AI agents, while AI inside Cube supplies edge infrastructure. Customers include companies, government agencies and municipalities.

The company earns primarily recurring revenue from its services, supplemented by sales-based revenue including hardware. For the year ended March 2026, revenue was ¥4.748 billion, of which ¥4.488 billion came from its recurring model. Its proprietary language models and error-detection AI support continued upgrades to DX Suite.

Salary range
¥4.5M – ¥10M
Median
¥6.5M – ¥10M
Remote or hybrid
100%
Most requested
Common areas
  • Backend engineering 1
  • Business development 1
  • Finance & accounting 1
  • Security 1

Measured from the 5 listings Ranked has live for AI inside. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.

5

1

Full-time

Japanese?

Remote

Accounting

Flexible

Medium co

Handle purchasing and financial closing in a seven-person accounting team, covering payments, sales administration, disclosures, tax work, audits, and process improvement.

Full-time

Japanese?

Remote

Biz Dev

GenAI

Flextime

Leads partnership-based business development using generative AI, from identifying potential partners and designing commercial models to securing agreements and driving projects through launch.

Full-time

Japanese?

Remote

Security

Cybersec

Compliance

As a member of the Digital Protection & Resilience Unit, you will promote security operations and governance for internal information infrastructure centered on Microsoft 365.

Full-time

Japanese?

Remote

Backend

GenAI

Full-stack

Develop and improve new features for the AI platform, collaborating with teams to solve user and business challenges.