PRODUCT / DATA INTELLIGENCE
DataMind · Controlled pilot evaluationFrom raw data to defensible insight.
DataMind is an evidence-oriented analysis workspace. It supports a bounded workflow from datasets to exploration, retrieval, machine learning and structured reporting—with authorization and traceability built into the system.
The workspace is live for authorized users; public commercial launch is not announced.
01 / Workflow
One workspace.
Multiple analytical stages.
Built around controlled, testable operations rather than claims of unlimited autonomous analysis.
Ingest & inspect
Upload supported datasets, review structure and quality, and work with project-scoped snapshots.
Analyze & retrieve
Guided exploration, evidence retrieval and bounded agent workflows with explicit controls for external LLM use.
Evaluate & report
Machine-learning foundations, evaluation and structured output with traceability and human review gates.
02 / Current capability
Advisor, with numbers you can check.
In the experimental Advisor flow, DataMind can compute cash inflows, outflows, net movements, monthly comparisons and category breakdowns for datasets that use an explicit four-column financial format.
These calculations are deterministic and run against an authorized project snapshot. They are not a substitute for reconciled accounting records, profit calculation, tax advice or financial certification.
Deterministic preview
No LLM is needed to calculate cash movements. Results reflect only the supplied movements.
Project-scoped access
Queries run under existing project permissions, without exposing the complete dataset through the public marketing site.
The Advisor specialization is experimental. Business and other specialized workflows are planned directions, not completed offerings.
03 / Architecture
AI, but with boundaries.
Project isolation
Tenant-aware access to projects and durable analytical state.
Data handling
Explicit data and LLM-egress permissions, with privacy controls.
Review & audit
Operational audit events, traceability and durable approvals.
Evidence quality
Clear distinction between deterministic outputs and model-generated analysis.
Explore DataMind
See how the workflow behaves with real interactions.
Request a guided demonstration using synthetic data, or access your authorized workspace.