Graph intelligence for real outcomes
We turn fragmented data into connected insight. Lynoxis solutions help you prevent fraud, resolve identities, and accelerate investigations — fast and privacy-aware.

Our Solutions
Explore how Lynoxis can help your organization uncover hidden risks, connect fragmented data, and accelerate decision-making. Each solution bundle combines advanced graph analytics with AI-driven insights — tailored to your needs.
What’s inside
Data Ingest
- CSV/JSON import, schema mapping
- De-identified PoC datasets
- Batch or streaming connectors (later)
Graph Rules
- Shared device/IP, k-neighbors > N
- Community & ring detection
- Thresholds & time windows
Scoring & Alerts
- Composite risk scores
- Prioritization & dedupe
- Alert → Case handoff
Investigation UI
- Graph scenes & notes
- Neighbors, paths, clusters
- Case timelines & evidence
Privacy & Access
- Workspaces & roles
- Audit trail
- GDPR-aware workflows
Integration
- API & webhooks
- Third‑party connectors
- Custom data pipelines
How it works
1) Data intake (Week 1) — Secure transfer or de-identified sample. Mapping entities and edges. Quick data validation.
2) Graph & rules (Weeks 2–3) — Build identity graph, enable rules (shared device/IP, k-neighbors, velocity), calibrate thresholds.
3) Alerts & investigations (Week 4) — Risk scoring, alert triage, case workflow. Measure precision and analyst time saved.
4) Rollout (Weeks 5–6) — Dashboards, export, access policies. Optional on-prem deployment and SSO later on.
Outcomes you can expect
−30–50%investigation time
−20–35%false positives
+15–25%fraud ring detection
Weeksto first value (not months)
Architecture & Security
Start on our managed environment or bring your own infrastructure. PoC can run on de-identified data. Production options include on-prem or private cloud. Role-based access and audit logging by default.