Expert Workspace
Tasks, instructions, criteria, deadlines, confidentiality rules, submissions, and performance feedback in one clear environment.
Platform
The operating layer for the AI lifecycle.
Organize data, training, testing, evaluation, validation, and deployment in one platform, without building a separate operation for each stage.
Foundations
Workspaces for every handoff.
Keep data, training, and evaluation context in the same operating layer, so testing, validation, and delivery stay connected across the AI lifecycle.
Data Workspace
Manage source data, annotations, versions, metadata, quality status, and exports in one place.
Sinorax AI Evaluate
Know which LLM is right for the work.
Test LLM model suitability with automated evaluation metrics and structured review, then make model decisions from evidence instead of assumptions.
Model comparison
Compare candidate models against the same tasks, prompts, and performance breakdowns to see meaningful differences clearly.
Customizable benchmarking criteria
Set evaluation criteria around the quality, safety, reasoning, and operational standards that matter to your project.
Structured evaluation
Combine automated evaluation metrics with clear review criteria for a consistent and transparent assessment process.
Continuous improvement
Turn every evaluation into a performance baseline that guides model selection, iteration, and improvement.
Strategic evaluation
Performance breakdowns that lead to better next decisions.
Sinorax AI Evaluate makes model suitability testing visible across use cases, helping teams identify where a model performs, where it fails, and which improvements are worth prioritizing.
- Automated evaluation metrics for repeatable measurement.
- Structured review for nuanced, contextual assessment.
- Transparent criteria across every evaluation cycle.
Sinorax AI Project Hub
AI task workflow orchestration that keeps project operations moving.
Sinorax AI brings task coordination, project management, analytics, and controlled project workflows into one operating layer for AI product development and deployment.
Project setup
Configure project requirements, task instructions, and delivery standards in one shared workspace.
Task coordination
Organize AI tasks with clear project management, status visibility, and structured handoffs.
Controlled workflows
Keep project operations transparent, secure, and easy to track from setup through delivery.
Analytics
Use project analytics to understand delivery progress, quality signals, and operational decisions.
Project operations
One clear view of AI product delivery.
Sinorax AI Project Hub gives teams a practical workspace for coordinating AI tasks, tracking project progress, and maintaining clear operational control from training through deployment.
Long-term direction
AI lifecycle capabilities, available when you need them.
The Sinorax AI platform will connect data, training, testing, evaluation, validation, and deployment into a unified layer, so teams can request the capability they need at each stage without rebuilding infrastructure.
Customers define the data, model, evaluation method, validation standard, and timeline. Sinorax coordinates the rest.
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