Integrated analysis platform for Frontier Bio

IAS──整合影像、基因组、分子、流式细胞和质谱数据

在一个云平台协作处理研究数据，加速远程共同研究，并提升再现性与分析效率。

ResearchersPharma / Bio R&DPathology / Medical researchMaterials / Semiconductor / QC

AI for Science

AI for Science implementation support is now available

We help research teams design generative AI, RAG, local LLMs, AI agents, and research data foundations with access control, human review, and department operations in mind. The service is independent from IAS and can integrate with IAS when a multimodal data foundation is useful.

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Research data

RAG/AI foundation

AI agents

Human review

Four common breaks in research workflows

Scattered data

Files sit across instruments, analysis software, and shared folders, making evidence hard to trace.

Person-dependent analysis

Preprocessing choices and thresholds are difficult to reproduce when they live with one operator.

Slow collaboration

Results, comments, and attachments move separately, so review context is easy to lose.

Heavy reporting

Teams spend time re-collecting figures, settings, and interpretation for reports.

降低分析工作的成本与时间

研发、质量控制、诊断和检测会使用多种不同的数据格式。IAS 支持各领域专用格式并集中管理，帮助整个工作流保持连贯。

The IAS workflow

IAS does not replace modality-specific tools. It connects data by experiment so analysis, review, and reporting stay in the same context.

Connect
Organize experiment data
Link images, NGS, flow, mass-spec, molecular structure, and metadata.
Analyze
Share methods and results
Handle preprocessing, analysis steps, and visualization in one workspace.
Review
Inspect evidence together
Keep comments, comparisons, and decisions connected to the data.
Report
Prepare report outputs
Organize analysis history and figures for reports and manuscript drafts.

A dashboard view of research data

多模态整合: 横向分析影像、基因组、蛋白、分子和流式细胞数据
云端协作: 跨地点和机构安全开展共同研究
再现性与效率: 通过标准化流程减少手动操作
信任与实绩: 持续在制药企业和研究机构中导入与验证

01Experiment

02Image / NGS / Flow

03Analysis history

04Review notes

05Report draft

Use cases by customer segment

Academic labs

Challenge: Data and analysis settings are scattered by experiment, making handover and reproducibility hard.
Use: Manage data, analysis, comments, and reports by project.

Discuss collaboration

Pharma / Bio R&D

Challenge: Teams need cross-modal evidence from images, omics, flow, and mass spectrometry.
Use: Bring candidate comparison, toxicity review, and decision evidence into one workspace.

Request a demo

Pathology / Medical research

Challenge: Images, related data, and review records need to stay aligned by case or experiment.
Use: Connect image analysis and review history for inspectable outputs.

Ask about analysis

Materials / Semiconductor / QC

Challenge: Inspection images, measurements, quality decisions, and reports are managed separately.
Use: Support cross-process analysis and report creation in one workflow.

Materials or quote

提供最新技术

作为 Web 系统，IAS 始终提供最新版本，并将生成式 AI、Web3、区块链和自有 AI 算法作为达成客户目标的手段。

Trust signals from public company information

Main customers

Broad Institute, INFORM, University of Bayer, UC San Diego, University of Tokyo, National Cancer Center, and others

Awards

Yokohama Business Grand Prix Excellence Award and Kanagawa Business Audition Innovation Award

Business domains

Web application development and sales for life science, medical, and industrial fields