Integrated analysis platform for Frontier Bio

Connect research data by experiment
from analysis to review

IAS organizes imaging, NGS, flow cytometry, mass spectrometry, and molecular structure data into one workflow for analysis, review, and report creation.

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

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Researcher working with a microscope in a laboratory

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.

Turn fragmented research data into reviewable evidence

R&D, quality control, diagnostics, and inspection workflows often split data formats, analysis steps, and review notes across tools. IAS connects experiment-level data, analysis conditions, results, comments, and reports so teams can inspect the same evidence.

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

Multimodal integration: Organize imaging, NGS, flow cytometry, mass spectrometry, and molecular structure results by experiment
Workflow standardization: Share analysis procedures, checkpoints, and output formats that are often person-dependent
Review and reporting: Preserve analysis history and evidence for review, reports, and manuscript drafts
Web collaboration: Support cross-site review, consultation, and material sharing through a web-based platform

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.

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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

Providing the Latest Technology

We always provide the latest version of our web system. We also provide cutting-edge technologies such as generative AI, Web 3.0, blockchain, and proprietary AI algorithms as a means to achieve your goals.