Technica AI Inc. announced the launch of AIKNOW Project on September 30, 2026. The product brings together information from project tools, documents, email, chat, and meetings, helping teams review project status, understand past decisions, and explore next steps with references to available sources.
For current capabilities and deployment requirements, see AIKNOW Project. Technical scope, evaluation, and operating controls are agreed for each engagement.
Connecting Project Information with Decision Context
Projects generate large volumes of information every day, in tasks, documents, email, chat and meetings. Yet many teams still face the following problems:
- Scattered information makes it time-consuming to establish the current position and understand how the project reached it.
- When decision history sits with only a few people, their absence or departure can disrupt progress.
- Deciding what to do next requires a combined view of progress, issues, changes, risks, customer requirements and open items.
AIKNOW Project organizes project information together with its context so teams can review the evidence behind decisions and actions.
Key features of AIKNOW Project
1. A project knowledge layer for scattered information
AIKNOW Project connects existing project management tools, documents, email, chat, meetings, and other sources. It organizes this information for AI use, linking decisions, changes, issues, and deliverables within the project’s context.
2. Supporting action tracking and reporting
The system can identify proposed decisions, action items, owners, and deadlines in meetings and messages, helping teams track work and draft reports. Teams review the extracted information and remain responsible for assignments, commitments, and project decisions.
3. A knowledge hub that answers with its sources
Questions such as “Why was this change made?” can surface relevant meeting minutes, specifications, emails, and other records. Source references help users check the reasoning and understand project history. The completeness of an answer depends on the information available and the user’s access permissions.
4. Knowledge that grows out of the work itself
The Capture, Connect, Understand, Apply, and Learn cycle organizes new records, decisions, and lessons within their project context. Reviewed outcomes can inform future projects, although accumulating records alone does not establish that every lesson is correct.
Integration and Controls for Enterprise Use
Potential integrations include Jira, Backlog, Asana, and Microsoft Project; document systems such as SharePoint, Notion, and Confluence; and communication and storage services such as Teams, Slack, Google Drive, and OneDrive. Each integration depends on available interfaces, access rights, and the agreed configuration.
Deployment options can include client-controlled or private environments. Access permissions, source references, and audit logs are designed around each project’s security and governance requirements, then implemented and validated in the target environment.
Intended use cases
- Manufacturing and product development: building knowledge that spans specifications, design, prototyping, quality and the reasons for changes
- Construction and engineering: connecting design, construction, site issues, changes and customer agreements to reduce miscommunication between site teams and management
- IT and system implementation: managing requirements, design, issues, changes, testing and incident response in a single context
- New ventures and business transformation: connecting hypotheses, evaluations, decisions, and results so teams can act with a shared understanding
AIKNOW Project applies the AIKNOW knowledge platform to project workflows. It supports evidence review and knowledge reuse while project teams retain responsibility for decisions and execution.
About Technica AI
As of September 2026, Technica AI Inc. in Tokyo and Technica Co., Ltd. in Hanoi had a combined team of more than 50 engineers specializing in AI. The group’s services span research, consulting, custom development, systems integration, deployment, and ongoing support. Teams draw on machine learning, deep learning, and generative AI to address the requirements of each project.
| Company name | Technica AI Inc. |
|---|---|
| Representative | Satoki Tsuyuri, Representative Director and CEO |
| Founded | February 2024 |
| Address | 3F Kanda Dai-4 Amerex Building, 2-13 Kanda Tsukasamachi, Chiyoda-ku, Tokyo 101-0048, Japan |
| About Us | View About Us |
Company information as of September 2026.
Media inquiries
Technica AI Inc.
Email: office@technica.ai
