GRYPS is a non-commercial R&D prototype that scores satellite connectivity resilience for remote and autonomous industrial operations in Nordic, Arctic, and Icelandic environments. It produces a Resilience Signature for learning and documentation support — not as a commercial service.

Is GRYPS procurement or certification advice?

No. Results are indicative research outputs. They are not procurement advice, coverage certification, or engineering sign-off. See https://gryps.vercel.app/methodology for assumptions and limitations.

Yes. GRYPS is a free educational / portfolio prototype with no paid tiers. There is no commercial SaaS offering.

PORTFOLIO CASE STUDY · GRYPS Methodology v0.6

GRYPS

Connectivity Intelligence Research Prototype

A non-commercial R&D prototype that turns fragmented satellite-connectivity context into an indicative, reproducible Resilience Signature — built as evidence of research, product, and decision-support craft.

GRYPS is an experimental research prototype. Results are indicative and should not be interpreted as commercial procurement advice, coverage certification, or engineering advice.

Modeled polar geometry — research visualisation for high-latitude connectivity context, not live RF.

Problem

Remote operations face fragmented satellite-connectivity information. Operators must stitch together orbital classes, latitude effects, redundancy, and provider claims without a shared decision-support frame.

Research question

How could location, operational requirements and connectivity characteristics be combined into a decision-support model?

Approach

GRYPS was built as an end-to-end research prototype — from problem framing through scoring and interactive surfaces — not as a sales funnel.

01
Research
High-latitude constraints, orbital classes, and operator-relevant literature distilled into Knowledge notes and a Research Library.
02
Data modelling
Structured inputs (location, sector, autonomy, criticality, setup) mapped to reproducible Signature outputs and evidence fields.
03
Business requirements
Mission priorities and scenarios capture how readiness documentation needs differ from a sales checklist.
04
Scoring logic
Deterministic deterministic · v0.4: redundancy, latitude, operational profile, provider confidence, and hard caps — same inputs, same score.
05
AI-assisted analysis
Optional language-model prose for recommendation wording only. Scores, grades, risks, and ranks stay deterministic.
06
Workflow design
Advisor funnel → Signature → evidence chain → local Research Workspace save / compare / export.
07
Interactive map
MapLibre Connectivity Intelligence console for Nordic / Arctic / Icelandic context exploration.
08
Provider comparison
Catalog-based ranking and comparison bands — research heuristics, not commercial brokerage.
09
Evidence layer
Explicit chain from operating environment through research and characteristics to scored recommendation, with provenance.

Prototype

The application is live. Explore the same surfaces used in the research workflow.

What I learned

Capabilities demonstrated through building GRYPS — relevant for AI, digital solutions, automation, and business-analyst roles.

Data modelling
AI-assisted research
Decision-support design
Workflow automation
Requirements analysis
Product thinking

Limitations

What is not production-grade is stated on purpose. Honesty about scope is part of the portfolio signal.

Not a commercial product, coverage certification, or engineering consultancy.
Not live constellation telemetry, congestion simulation, or an SLA.
Not a substitute for on-site RF / sky-view survey.
Optional AI text never overrides deterministic scores.
Research Workspace is browser-local only — not a cloud CRM.

Full limitations → · Research & Prototype → · About the maintainer →