AI-based Services

Integrate various internal and external AI and data on a single platform

Saison Technology connects disparate data and the proliferation of AI both inside and outside the company, laying the foundation for "AI utilization" that reduces workloads, improves work efficiency, and maximizes business results.

Connecting disparate AI and data
A strong partner to support your business

While many companies are introducing AI, they often hear complaints such as, "There's too much AI in the company, and I don't know which one to use," or "It's too inaccurate to be practical." Factors contributing to this include fragmented AI models and tools, and scattered and under-organized data. As a result of introducing different AI for different purposes, people on the front lines are left confused about which AI to use for which tasks, and how, which can lead to reluctance to use it. Furthermore, when the data to be loaded into AI is scattered both inside and outside the company, it takes a huge amount of time and effort to "pre-process" it into a format that AI can understand. These circumstances are preventing the use of AI throughout the company.

Saison Technology's "AI & Data Integration Solution" eliminates this "disparity" and integrates various AI and data both inside and outside the company onto a single platform.

Connecting disparate AI and data to become a powerful partner that supports your business

Have you encountered any of these challenges when introducing generative AI?

Management
- It doesn't lead to business growth
- It's stuck at PoC
- It takes time to implement
AI/DX Promotion Department
- Hallucination is a concern
- Unable to keep up with changes in the model
- It takes time to connect the data
On-site practical staff
- Low accuracy and not practical
- Limited data available for reference
- I don't know how to use it in my work
IT department
- AI is scattered across the company
- There are so many requests from the field that I can't keep up
- It takes time to prepare the data

DI Solution

Introducing AI-based services reduces the time spent on the front lines worrying about which AI to use. AI agents autonomously determine which tools and data to refer to depending on the purpose, leading to optimal answers and actions. Furthermore, by automatically synchronizing with all internal data sources on a regular basis, a data infrastructure is established that allows AI to always provide highly accurate answers. This allows you to make the most of the latest, reliable information in your work.

Quick Analysis Chatbot

Anyone can easily analyze the necessary data by simply using natural language instructions.
Insight Discovery Report
AI Talent Management

Based on employees' skills and backgrounds, the system automatically assigns them to projects and identifies the best talent.

Data preprocessing and AI integration

Data is automatically converted and integrated into a format that is easy for AI to understand, making it usable for highly accurate answers.
Master Expansion

Expand information through master integration and category tagging for accurate data interpretation and analysis by AI.
Building a data utilization platform

We will establish a platform for centrally collecting data from both inside and outside the company, building a foundation for utilizing AI.

What AI-based services can do

SCENE 01 Agent to Agent

To solve complex and time-consuming problems, AI agents collaborate with other specialized AI agents, both internal and external, depending on the purpose. Collaborative creation between AI agents allows them to achieve performance that exceeds conventional limits.

SCENE 02 Routing & MCP Tools

The AI agent determines which tool should be executed based on the user's purpose. For example, it plans and routes which tool should be executed, such as a tool to connect to a database or a tool to search for a file.

SCENE 03 Model Switching

The AI model is updated daily.
You can use different models depending on your needs, such as the latest model, a speed-focused model, or a deep thinking model, or easily switch to new ones and try them out.

SCENE 04 Workflow

Data processing using AI and processing that uses AI to analyze collected data from multiple angles are defined as workflows. Defined data processing, including AI, can be executed recursively on a defined schedule.

SCENE 05 On-premise integration

Even if you want to use on-premise data, it can be difficult to connect it and how much data to connect. By using replication with differential detection and HULFT interface, you can quickly deliver only the required amount of on-premise data to AI.

SCENE 06 Pre-processing & Metadata Preparation

To use unstructured data such as documents, images, and audio with AI, it is important to preprocess the data into a format that is easy for AI to read and to prepare metadata. Data quality is improved through structuring, creating Q&A, and adding URLs and tags.

SCENE 07 Cache Utilization

AI agents retain a cache of past conversation history, allowing them to reuse various information obtained through searches. Utilizing the cache improves response speed and cost efficiency.

SCENE 08 Sync execution & update check

It collects the data you want to use with AI, performs the necessary preprocessing, and synchronously executes a series of data processing steps until it is imported into a vector database. By tracking the number of cases in each process, you can visualize whether all the data that should be imported has been registered correctly.

Connecting disparate AI and dataA strong partner to support your business