A multi-module operating system for truth, risk, and economics.
Stratalenz is not one dashboard. It is an intelligence layer that sits beside existing systems of record, normalizes fragmented operational data, computes trusted events and metrics, and turns them into decisions the business can actually use.
From messy inputs to operational decisions.
The platform follows a clear chain: ingestion, canonical model, metrics and events, decision layer, then presentation. That structure keeps the system scalable instead of turning every customer into a custom reporting project.
Ingestion
Read from LIMS, ERP, spreadsheets, watched folders, exports, and instrument-side files without forcing a rip-and-replace project.
Canonical Model
Map customer-specific chaos into one stable internal shape for jobs, steps, sections, resources, SLAs, and economics.
Metrics & Events
Compute backlog, TAT, data integrity anomalies, identity continuity risk, SLA pressure, margin signals, and overtime outcomes.
Decision Layer
Move from passive reporting into recommendations, review queues, scenario evaluation, and policy-driven operating actions.
Each module solves a different management lie.
The design below keeps departments and personnel anonymous while showing the product as a serious cross-functional operating platform.
Operational Visibility
Answer the basic question: what is happening now?
- Live flow boards and section pressure
- Backlog by department and method family
- TAT trend views for supervisors, managers, and executives
- Capacity signals without exposing named technicians
Human Error & Data Integrity
Catch impossible sequences, missing transitions, and dashboard lies before management trusts the wrong KPI.
- KPI confidence scoring
- Missing-step and ghost-item detection
- Stage count mismatches
- Workflow reconstruction when records are incomplete
Identity & Continuity Risk
The strongest wedge: detect jobs or samples that probably do not belong where the system says they belong.
- Fingerprint and continuity logic
- Duplicate behavior analysis
- Risk-ranked review queue
- Explainable anomaly reasoning
Financial & Economics
Not accounting software. An operational economics lens.
- Margin by client, method, section, and site
- Cost overlays on backlog and delay
- Revenue-at-risk views
- Priority logic tied to money, not guesswork
SLA & Contract Risk
Translate commercial commitments into live operational exposure.
- Due-date aware work queues
- Penalty and priority weighting
- Breach forecasting
- Client-ready service reporting
Workforce & OT Decisioning
A path toward replacing routine supervisory work with controlled, explainable logic.
- OT history versus outcome
- Scenario packages for extra staffing
- Policy-based recommendation engine
- Human override with full logging
Audit, Incidents & CAPA-Light
Turn anomalies into a durable operational record instead of tribal memory.
- Incident trail and action history
- Review outcomes and decisions captured
- Audit-ready narratives
- Structured evidence for ISO-style environments
Reserved Expansion
Future modules stay possible without bloating v1.
- Instrument health
- Competency and training signals
- Inventory and ESG overlays
- Cross-site benchmarking
Built in phases, not fantasy.
The site design reflects a realistic implementation path: discover, prototype, normalize, pilot, productize, then scale.
Phase 0–1
Lock scope, collect representative exports, validate buyer pain, and prove the first manual visibility and OT use cases.
Phase 2–3
Build the canonical schema, automate ingestion, release the first analytics layer, and run semi-automated pilots with real customers.
Phase 4+
Move into SaaS v1 with multi-tenancy, reporting, governance, and gradual expansion into advanced automation and adjacent verticals.
The design should look like a product company, not a dashboard freelancer.
This architecture page exists so investors, partners, and early buyers immediately see that Stratalenz is a system, not a single KPI screen.