2004
Founded
INNOVATION · TECHNOLOGY · COLLABORATION
Move innovation from concept to market
We integrate AI, smart hardware, industry-academia resources, and market partners to help companies move through needs clarification, technical validation, product development, and commercial implementation.
Start a collaborationExplore servicesAbout In-Stars
Two decades of technical foundations, still exploring the next step
Founded in 2004 through AI electronic-pet and software-hardware platform R&D, In-Stars has grown through product innovation, systems integration, government programs, and industry-academia collaboration into a partner for enterprise innovation and technology implementation.
20+
Years of cross-domain experience
AI × HW
Software-hardware integration
Corporate Services
Four routes from a business need to execution
Select the route that matches the decision your team needs to make.
Enterprise AI consulting
Turn AI discussion into an executable project through needs and process analysis.
Explore servicePoC and system planning
Combine AI, data, and existing systems into a testable concept.
Explore serviceGrants and industry-academia collaboration
Connect enterprise, university, and research resources around a defined topic.
Explore serviceEnterprise training
Build sustainable AI capability through generative AI, LLM practice, and NVIDIA DLI learning paths.
Explore serviceCollaborative Innovation
Collaborative innovation is more than resource matching
A five-stage path keeps evidence and decisions connected.
01 · Clarify needs
Define the problem, goal, and constraints.
02 · Combine resources
Connect suitable technology and partners.
03 · Technical validation
Use a PoC to create decision evidence.
04 · Project execution
Advance development and cross-domain collaboration.
05 · Market implementation
Form a product and growth route.
Technology Capability
Across software, hardware, and application fields
Capability summaries for early evaluation; scope is confirmed per project.
AI／LLM
Capability available for scoped evaluation.
Smart hardware
Capability available for scoped evaluation.
HMI
Capability available for scoped evaluation.
Robotics
Capability available for scoped evaluation.
AIoT
Capability available for scoped evaluation.
Wearable sensing
Capability available for scoped evaluation.
Software-hardware integration
Capability available for scoped evaluation.
Technology PoC
Capability available for scoped evaluation.
JAPAN × TAIWAN
Japan–Taiwan cooperation and cross-border coordination
In-Stars coordinates business, technology, information, and collaboration progress in both directions among Taiwan, Japan, and relevant international partners.
Innovation cooperation and technology exchange
Connect enterprises, technical teams, research resources, and manufacturing capabilities for validation and joint development.
Explore Taiwan cooperationConfidentiality and long-term partnerships
Use careful information handling, preparation, and continued follow-up to build trusted long-term relationships.
View Japan partnershipJapan–Taiwan service overview
Review the shared principles, process, confidentiality boundaries, and contact route.
View overviewIN-STARS INNOVATION NETWORK
Turn innovation resources into a working collaboration network
In-Stars Innovation Network connects enterprise needs, technical teams, research resources, and market partners for matching, technology transfer, innovation management, and cross-border collaboration.
Needs and resource matching
Network capability overview.
Explore Innovation NetworkTechnology transfer and licensing
Network capability overview.
Innovation management tools
Network capability overview.
Domestic and international market networks
Network capability overview.
INSIGHTS & NEWS
Insights & News
Selected published analysis and company updates from the In-Stars CMS.
In-Stars 內容審核與公開流程更新
In-Stars 內容審核與公開流程更新。這則更新說明目前可公開諮詢的服務方向、適合情境與聯絡方式。
Read moreIn-Stars 影音知識主題規劃完成
In-Stars 影音知識主題規劃完成。這則更新說明目前可公開諮詢的服務方向、適合情境與聯絡方式。
Read more產學合作夥伴網絡整理完成
產學合作夥伴網絡整理完成。這則更新說明目前可公開諮詢的服務方向、適合情境與聯絡方式。
Read moreJapan DX（Digital Transformation，數位轉型）跨境顧問服務路線啟動
Japan DX（Digital Transformation，數位轉型）跨境顧問服務路線啟動。這則更新說明目前可公開諮詢的服務方向、適合情境與聯絡方式。
Read moreExperience & Trust
Professionalism comes from experience; trust comes from boundaries
We use confirmed experience and conservative disclosure.
AI, software-hardware platforms, and product innovation since 2004
Confirmed scope only; no unapproved names or outcomes.
Cross-domain work with companies, universities, and research organizations
Confirmed scope only; no unapproved names or outcomes.
Government-program and industry-academia familiarity
Confirmed scope only; no unapproved names or outcomes.
Confidentiality-first information management
Confirmed scope only; no unapproved names or outcomes.
The next idea worth implementing can begin with one clear conversation.
Tell us your company background, collaboration objective, timing, technical needs, and confidentiality boundary.
INSIGHTS · OPPORTUNITIES
Latest insights
Industry innovation
Sample ContentFrom technical concept to PoC: evaluation points for corporate innovation
Use problem value, technical risk, data and environment, validation measures and decision gates to assess PoC readiness.
- Reference organization
- In-Stars
- Last verified
- Jul 27, 2026
AI, DX & education
Sample ContentFive checks before planning enterprise AI and DX training
Connect business objectives, learner roles, data and tools, practice tasks and follow-up measures.
- Reference organization
- In-Stars
- Last verified
- Jul 27, 2026
Industry–academia
Sample ContentPreparing for an industry–academia PoC
Define the problem, data boundary, validation measure, roles and use of results before matching research resources.
- Reference organization
- 國立中央大學
- Last verified
- Jul 27, 2026
Publicly available cases
Cases, experience and trust
1 / 4 · Autoplay
Study on Applying Data Analytics to Improve Semiconductor Process Yield
A study topic exploring data analytics for semiconductor process improvement and decision support. The project title and period are cited from National Central University’s public information.
Explore the related serviceE-Buddy 3C3I New Marketing Model R&D
Part of In-Stars’ owned R&D history, reflecting cross-disciplinary exploration of hardware, software, services and market models. It is not presented as an external client commission.
Explore the related serviceSmart Care and Learning System
A historical care and learning system combining wireless communication, voice, internet and real-time interaction. Client, year and quantified outcomes are not disclosed.
Explore the related serviceTaoyuan City Streetlight Innovation and Economic Benefit Analysis
A public-infrastructure engagement concerning innovation options and economic benefit analysis. Public disclosure is limited to the verified project title and study type.
Explore the related service