One connected research workflow
Connect PMS, ELN, approvals, and ERP so AI understands the full research context.
AI-IRIS / PRIVATE R&D OPERATING SYSTEM
Keep your research data inside your company when using AI.AI runs within your company, without concerns about data leaks or external model training.
Connect PMS, ELN, and ERP in one workflow. AI-IRIS, your on-premises research operating system.
- PMS + ELN + ERP
- AMBIENT AI
- ON-PREMISE + HARDWARE
- DATA FLYWHEEL
PRIVATE R&D ENVIRONMENTLOCAL
PROJECT DATA
LAB NOTE
ERP DATA
AI-IRISResearch operations and ambient intelligence
MODEL ROUTER
SPECIALIZED SLM
WORKFLOW ASSIST
As teams use the system, specialized models accumulate and make the same infrastructure more efficient.
WHY AI-IRIS
The difference between an AI PoC and AI used in daily work
AI-IRIS does not add another tool. It connects AI to your existing research workflow and runs inside your company.
Work the way you already do
AI works naturally within existing research tasks, without requiring teams to learn a new way to use it.
Your data stays in your company
Operate on-premises without sending critical research data outside your company.
PRODUCT IN OPERATION
One research workflow, from projects to search
PMS, Ambient AI, Stage-Gate, and Agentic Search work together in one operating environment.
Integrated research project management
Connect schedules, progress, lab notes, issues, and core ERP data for each project in one operating view.
PRIVATE AI FLYWHEEL
AI that adapts to your company with use
Build and use tailored AI based on real work. All data and models stay inside your company.
ALL DATA AND MODELS STAY INSIDE THE CUSTOMER INFRASTRUCTURE
Observe
Analyze work patterns and context
Curate
Refine data into validated training assets
Specialize
Optimize models for specific tasks
Route
Select the best model for each task
Serve
Operate securely inside your company
Run the best model for each task on shared GPU infrastructure to improve both accuracy and resource efficiency.
ROADMAP / IN DEVELOPMENT
Private MLOps that extends to Physical AI
Building on our experience operating research AI, we are extending private MLOps to run foundation models and Physical AI inside the enterprise.
CAPABILITY EXPLORER
One structure from research operations to AI infrastructure
Start with the capabilities you need and expand in stages to fit your organization.
Connect research operations in one data structure
Manage projects, records, approvals, and resources as connected operating data rather than isolated documents.
- Research project, schedule, and issue management
- Electronic lab notebooks and history
- Internal ERP data integration
- Stage-Gate reviews and approvals
PMSELNERP IntegrationStage-Gate
DEPLOYMENT PATH
Validate small, then scale with actual usage.
Start with a focused research-team PoC, observe workloads and model usage, and use that evidence to determine the next infrastructure stage.
STEP 01
8 USERSResearch-team PoC
RTX PRO 6000 × 3 class
Validate core workflows and ambient intelligence in the field.
STEP 02
10–25 USERSLaboratory operations
B200 / B300 class
Operationalize PMS, ELN, ERP, and the data flywheel across the laboratory.
STEP 03
100+ USERSEnterprise expansion
Usage-based DGX-class cluster
Design enterprise infrastructure from proven workload and model usage.
GPU configurations are sized according to user count, model size, concurrent usage, and security requirements.
EVIDENCE
Explain the technology through structure. Prove it through record.
We disclose registered technology assets and delivery experience instead of unsupported efficiency claims.
Registered patent
Core data-flywheel MLOps architecture
Intellectual property
1 registered patent · 2 valid applications
Inception Program
Selected for the global AI startup program
AX / DX
Cumulative project experience
Current delivery and evaluation environments
Enterprise R&D laboratoriesFinancial research organizationsGovernment-funded research organizations
Registered patent title: Method for operating an artificial-intelligence investment product market and system for operating the same
What's Next
HED-G Quant
From research labs to every department: AI transformation that simulates business decisions
Connect AI-IRIS research data and ERP through an ontology. Simulate interactions across purchasing, inventory, and financing to analyze enterprise cost structures and compare decision scenarios.
- An ontology connecting research, procurement, and finance
- Multi-economic entity simulation
- Historical backtests and forecasts
START WITH A TECHNICAL REVIEW
Design how the laboratory will operate, not simply where to attach AI.
With your PMS, ELN, ERP, security requirements, and team size, we can define the most practical PoC scope.
Include your research-team size, field, current systems, and on-premises constraints when contacting us.