If an AI-powered competitor appeared tomorrow, would customers keep choosing your service?
As LLMs evolve, software value is shifting from SaaS operated manually through screens to SaaS where AI completes work autonomously.
As newer services with embedded AI agents win market share through superior automation, delayed AI adoption is no longer a simple feature gap—it is a strategic risk tied directly to product obsolescence and customer churn.
A good dashi stock does not overpower the main ingredients; it lifts the flavor of the entire dish.
AI should play the same role in SaaS and web services. Rather than becoming the star, it must dramatically elevate the core product value you have built from behind the scenes.
QueryPie AI’s AI Platform (AIP) blends completely into your UI and brand world. It is the highest-quality AI foundation—AI Dashi—designed to give users the ultimate experience: ‘This service just became incredibly convenient!’
Instead of attaching another company’s generic AI tool, embed AI deep behind your product. Preserve the brand experience while directly strengthening competitiveness and customer loyalty.
QueryPie AIP handles fast-moving LLM updates and complex infrastructure maintenance. Reduce the cost and risk of building from scratch so engineers can devote their valuable time to core product development.
Bring an enterprise-grade secure AI foundation that would take over a year to build from scratch to market in as little as one month. Accelerate upsells and the launch of new plans.
Calling an LLM API is easy. But when teams try to implement it as commercial-grade SaaS, many projects run into the following barriers and stall.
Beyond the difficulty of hiring AI engineers, keeping pace with constantly evolving architectures consumes development resources and brings progress on the core business to a halt.
Making AI accurately read proprietary databases through RAG requires enormous effort, and releases can be delayed indefinitely without reaching production-grade accuracy.
After launch, model updates, prompt adjustments, infrastructure monitoring, and other unexpected maintenance costs continue to accumulate and squeeze margins.
Even a working AI feature will be rejected during procurement unless it meets the rigorous security requirements of large enterprises. QueryPie AIP is an AI foundation designed to clear these requirements from the start.
Implement granular API-based access control for organizational hierarchies and individual users to prevent the critical risk of data leakage.
Enforce factual answers based only on proprietary data and prevent AI falsehoods that are unacceptable in B2B operations.
An ISO/IEC 42001, SOC 2, and ISO 27001-level security foundation helps pass the rigorous security questionnaires and procurement reviews of enterprise customers.
While competitors advance their AI transformation, spending more than six months on development means missing the market opportunity.With QueryPie AIP, you can launch your own AI service in as little as one month.
As little as one month (API integration only)
Ready for immediate market launch
Six months to over a year (continuous trial and error)
Competitors move first and the market opportunity is lost
Zero upfront investment (no infrastructure required)
Start small with usage-based pricing and pay only for what you use
Upfront investment in the tens of millions of yen
Server and validation expenses become unrecoverable sunk costs
QueryPie AI FDEs (specialist engineers) work alongside your team
No specialized AI knowledge required
Hiring AI talent is essential (extremely difficult)
Rising personnel costs can prevent hiring
Enterprise-grade foundation (ISO/IEC 42001, SOC 2, ISO 27001)
Strict role-based access control (RBAC) included
Build a zero-trust architecture from scratch
Critical data-leakage risk and endless certification effort
Fact-only answers with enterprise RAG
Built-in guardrails support reliable B2B use
Insufficient accuracy prevents production release
Connecting proprietary data and LLMs, including chunking, becomes a quagmire
24/7/365 infrastructure monitoring and continuous updates
Offload LLM evolution and operations to focus on the core business
Internal engineers are consumed by operations and maintenance
Prompt tuning and infrastructure management halt progress on the core business
Time and cost estimates are based on standard implementations and may vary by requirements.
More than a tool, we provide everything needed to launch and reliably operate an AI service under your own brand.
The core system for the fastest path to market
Co-create the right AI alongside your team
Offload platform management after release
There is no need to build AI from scratch and waste time through trial and error.Our specialist engineers (FDEs) work with you end to end, from requirements definition to production launch, enabling a fast rollout ahead of the competition.
Review the business model, current systems, and desired AI capabilities, then define the optimal architecture and implementation approach.
Build a brand-aligned UI and UX with an initial AI model to validate real behavior and the customer experience.
Integrate existing services and databases through APIs, tune answer quality, and validate access control and security requirements.
Launch for customers and continue improving with platform monitoring and ongoing FDE support.
Explore how AI agents are reshaping the SaaS business, the strategies SaaS companies should take, and the path toward becoming an AI-native company.
Download for freeShall we design the AI evolution of your service together?
Talk to us about integration ideas, implementation scope, and estimates.