AI Diagnostic Service 'Cloud Diagnosis Projimo' Launches: From ¥98,000, Current-State Assessment in as Little as 1 Week Before High-Cost Commitments

Millions of yen vanish at the very first step of decision-making.

Cloud migration, business system renewal, post-M&A IT integration—critical decision-making moments always include the need to 'assess the current state first.' However, traditional diagnostics have required consulting contracts worth millions of yen, creating a high barrier even to 'trying it out' for small and medium-sized enterprises.

Projimo LLC (headquartered in Itabashi City, Tokyo) is restructuring its service model starting June 2026 to address this structural issue.

Why Was the 'Entry Point' for Diagnostics So Expensive?

The root cause lies in the fact that cross-domain expertise in cloud architecture, cost structure, and business challenges still heavily relies on human labor. Assessing and comparing each company’s unique cloud setup and costs—while understanding the design philosophies of AWS, Azure, and GCP—has traditionally required significant manpower and specialized knowledge.

Projimo previously offered diagnostic services specialized for post-M&A cloud integration (starting at ¥300,000 for basic assessments). Recognizing the growing demand for general-purpose diagnostics beyond narrow use cases, the company has generalized its AI diagnostic engine and launched the more affordable 'Cloud Diagnosis Projimo' starting June 20.

Three Key Features of 'Cloud Diagnosis Projimo'

① Automatic Issue Detection from Current-State Assessment

By inputting current cloud configurations through step-by-step forms, free-text descriptions, or pasted text from architecture diagrams, the AI automatically extracts risks, technical debt, and bottlenecks. A key advantage is its ability to identify improvement opportunities without assuming migration as a prerequisite.

② Simultaneous Architecture Recommendations and Cost Comparisons

The service compares three scenarios—'Maintain Current State with Improvements,' 'Optimized Migration to a Single Cloud,' and 'Multi-Cloud/Hybrid Configuration'—with clear pros and cons. It also compares monthly cost ranges across AWS, Azure, and GCP, and suggests cost optimization strategies.

③ Identification of AI Integration Opportunities and Roadmap

Based on the diagnosis, the service identifies 3–4 areas where AI can be integrated into business operations and generates a phased implementation roadmap for Months 1–2, Months 3–4, and Months 5–6 onward. Ongoing support for migration execution or operational improvements after diagnosis will be quoted separately based on the findings.

Comparison with Traditional Diagnostic Services

Diagnostic Cost: Hundreds of thousands to millions of yen → ¥98,000+ Delivery Time: Weeks to months → As fast as 1 week Scope: Specialized by industry or phase → Universally applicable regardless of industry or size Cost Comparison: Often approximate estimates → Includes AWS/Azure/GCP cross-platform comparison

Restructuring Business Positioning: Expanding Focus Areas to Five

Since its founding, Projimo has focused on post-M&A IT integration (PMI). However, having accumulated expertise in AI-driven diagnostics and business system development, the company now believes it can deliver value beyond M&A contexts. It has restructured its core focus areas into the following five:

① AI Diagnostics (Cloud Diagnosis Projimo): Use AI to assess the current state before making high-cost commitments ② AI-Powered Business System Development: Build tailored systems—such as workload management, deal tracking, and data visualization—using AI technologies to address frontline business challenges ③ AI Integration Consulting: Embed AI into business processes and decision-making to enhance consulting quality and speed ④ Post-M&A IT Integration (PMI): Support from developing 100-day post-acquisition plans to executing system integration ⑤ Large-Scale Project PMO: Manage progress, quality, and risks in multi-vendor environments with budgets in the hundreds of millions of yen

Takahiro Nishikawa, Representative, stated: 'I founded this company with the vision of specializing not in 'drawing pictures' but in 'moving numbers.' Thanks to AI, we can now deliver expert-level diagnostics—previously accessible only at high cost—to many more companies. We aim to make Projimo’s new identity a dual engine: AI provides the first answers, and experts execute what comes next—not limited to the context of M&A.'

Service Pricing

Cloud Diagnosis Quick Assessment: ¥98,000 (excl. tax) / As fast as 1 week Cloud Diagnosis Detailed Assessment: ¥198,000 (excl. tax) / As fast as 2–3 weeks M&A-Specialized Cloud Integration Basic Assessment: ¥300,000 (excl. tax) / As fast as 2 weeks M&A-Specialized Cloud Integration Detailed Assessment + Integration Planning: ¥800,000 (excl. tax) / As fast as 3–4 weeks Ongoing PMO Support for Integration Execution: ¥600,000+ / month (excl. tax) / 2–3 days per week

Development of PMI-Specialized SaaS 'Claimo'

Based on field insights accumulated through consulting delivery, Projimo is developing 'Claimo,' a PMI-specialized project management SaaS. Features under consideration include automatic Day 1 plan generation, IT asset inventory, and AI-powered weekly report automation, all tailored for post-M&A integration projects.

Company Overview

Company Name: Projimo LLC

Representative: Takahiro Nishikawa, Representative Member (holds 7 AWS certifications, including AIP-C01 'AWS Generative AI Developer - Professional') Founded: February 16, 2026 Headquarters: Itabashi City, Tokyo Business Activities: AI diagnostic services, AI-powered business system development, AI integration consulting, post-M&A IT integration (PMI) support, large-scale project PMO support URL: https://projimo.jp/

Inquiries Regarding This Release

Projimo LLC, Public Relations Email: info@projimo.jp URL: https://projimo.jp/