Product

Introducing AIKNOW 3.0

Connect enterprise data and explore business information through dynamic dashboards. |

Technica AI Inc. released AIKNOW 3.0 on July 31, 2026. The release expanded integration with databases, email, chat, and business applications, alongside dynamic dashboards and knowledge engines that support decisions and workflows within defined controls.

For current capabilities and deployment requirements, see AIKNOW. Technical scope, evaluation, and operating controls are agreed for each engagement.

Background

From AI that answers to AI that moves work forward

AIKNOW launched with hybrid RAG in February 2025 and added agentic RAG with version 2.0 in June 2025. Version 3.0 builds on that foundation by connecting business data and supporting day-to-day workflows.

Organizations expanding their use of generative AI often face the following challenges:

  • Internal information is spread across databases, email, chat and business systems, not just documents, and is not in a form AI can use
  • After receiving an answer, staff still need to decide what to do next, complete the work, and update records in separate systems
  • Understanding the state of the business requires checking multiple screens and reports

AIKNOW 3.0 connects retrieved information with business context, decision criteria, and authorized actions. The implementation design defines which functions are enabled and which steps require human review.

Key Features

Key features of AIKNOW 3.0

1. Connecting supported enterprise data sources

Supported sources can include technical documents, drawings, meeting and call records, databases, email, chat, and business applications. Integration depends on available connectors or APIs, permissions, data quality, and agreed processing rules.

2. Dynamic views of connected business information

Dynamic dashboards bring together information from connected sources so users can assess business status in context. Update frequency depends on source availability and the configured schedule; real-time updates are not available in every deployment.

3. Four knowledge engines for context and action

AIKNOW uses four knowledge engines: Content Knowledge provides relevant information and its scope of application; Decision Knowledge supports conclusions under defined conditions; Process Knowledge tracks workflow state and next steps; and Case Knowledge captures previous situations and responses. The engines use shared case context to prepare answers or propose actions.

4. Defined permissions and human oversight

Rules and procedures guide defined tasks, while AI agents assist with work that requires interpretation of context. Tools, permissions, approvals, and escalation paths are configured for each use case. Higher-impact actions follow the controls agreed during design.

Outlook

Looking ahead

AIKNOW provides the knowledge foundation for business applications. The roadmap announced with this release included further applications following AIKNOW Matching. Current capabilities and deployment options are described on the individual product pages.

About Technica AI

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 nameTechnica AI Inc.
RepresentativeSatoki Tsuyuri, Representative Director and CEO
FoundedFebruary 2024
Address3F Kanda Dai-4 Amerex Building, 2-13 Kanda Tsukasamachi, Chiyoda-ku, Tokyo 101-0048, Japan
About UsView About Us

Company information as of September 2026.

Press Contact

Media inquiries

Technica AI Inc.

Email: office@technica.ai

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