AISWare Usights • TAC MaaS

AISWare Usights • TAC MaaS is an innovative MaaS foundation and one-stop AI platform for enterprises in the LLM era, covering the full lifecycle of large/small model R&D and LLM implementation. It bridges the gap between general LLM and industry applications, and solves the challenges of vertical service O&M and low resource utilization during AI development and service processes.

Unique Advantages

Core Values

01

Simple Entrance to Developing AI Services

  • Offer diverse AI modeling methods and intelligent experiences to allow all users to develop AI services.
02

Lower Cost on AI Intellectualization

  • Enable one-stop development experience with deep integration from runtime environment, plugin deployment, to multi-specification computing engine.
03

Improved Quality of AI Services

  • Offer solutions that directly and quickly invoke AI capabilities according to customer needs, and build high-quality AI services fast.
04

Universal AI Services & Industrial Models

  • Accumulate excellent large/small models throughout various industries, and customers can fast access them through products, solutions and so on.

Application Scenarios

One-Stop AI Development
  • Scenario-based guidance
  • Six steps to build an LLM for verticals
  • Fast low-threshold fine-tuning
LLM Application & Empowerment
  • Cross-scale model learning
  • Vertical knowledge distillation
  • Enhanced inference performance
LLM Security Governance
  • LLM security protection
  • LLM security evaluation
  • Input/output compliance
Lightweight AI Application Development
  • Plug-in capabilities
  • Lightweight deployment
  • Minimized implementation cost
Development LLM for Verticals
  • Full-process LLM development
  • Facilitate LLM implementation
  • Efficient development
Model Training & Data Governance
  • Intelligent data generation
  • Data analysis
  • Data preprocessing
  • Data annotation

Customer Success Stories

Empowering a Provincial Telcoin Building a FMOps System Based on TAC MaaS

The customer leverages AISWare Usights • TAC MaaS to strengthen the foundations and expand capabilities of LLM, resulting in efficient unified management of heterogeneous resources, and a success in building a unified foundation for LLMs and FMOps systems. The Platform supports various processes for better decision-making, including data pre-processing, multi-task fine-tuning, domain knowledge enhancement, and model fusion. LLMs are applied to scenarios like intelligent Q&A, smart customer service, data collection, and intelligent O&M, improving business efficiency and experience.

  • 192 Managing heterogeneous GPU
  • 60% Increasing in computing utilization
  • 10+ Building LLMs
  • 10 Empowering application scenarios
Empowering a Provincial Data Intelligence Platform

With an intelligent Al middle office based on the AISWare Usights • TAC MaaS, comprehensive Al development capabilities are built throughout the process, integrating data/tech middle office for empowerment among B/O/M domains. This approach offers multiple intelligent methods and deployment options, avoiding traditional Al silo development such as non-unified data standards, service scheduling, permission management, disconnected end-to-end processes, unshared platform resources, and lack of data protection policies. The platform enables the full cycle of perception, cognition, and decision-making among scenarios.

  • 9M Daily average call volume
  • 193 Online reasoning services
  • 180% Increasing usage frequency
  • 50% Decreasing services development work
Empowering a Group Customer on Building a Centralized Platform

The customer established a centralized platform with AISWare Usights • TAC MaaS for effective multi-tenant management. Through unified construction, they avoided issues such as data silos among provincial companies, reduced the overall cost of developing machine learning capabilities, and enabled tenant-authorized models, resulting in model sharing, viewing, usage, and recovery, reducing model exclusivity and increasing the popularity of excellent models.

  • 20+ Total tenants
  • 14k+ Model inference
  • 357 Model trainings
  • 174 Model applications

Documents