Deployment model
Cloud (SaaS)
Volledig beheerde implementatie op onze beveiligde cloudinfrastructuur. Snelste time-to-value met automatische updates en schaling.
Kies het implementatiemodel dat past bij uw beveiligingseisen en infrastructuurbehoeften.
Deployment lanes
Keep the operator surface consistent while you decide where compute, storage, and identity boundaries belong.
Supported deployment lanes
4 models
Core data plane
Postgres + Neo4j
Object storage compatibility
R2 / S3
Identity integration posture
SSO-ready
Architecture brief
Deployment planning should clarify where the data sits, who operates the environment, and how observability, storage, and identity controls are partitioned before implementation starts.
Deployment model
Volledig beheerde implementatie op onze beveiligde cloudinfrastructuur. Snelste time-to-value met automatische updates en schaling.
Deployment model
Implementeer Public Safety binnen uw eigen datacenter voor volledige controle over gegevensresidentie en netwerkbeveiliging.
Deployment model
Combineer cloud- en on-premise implementaties. Houd gevoelige gegevens op locatie terwijl u de cloud benut voor rekenintensieve AI-workloads.
Deployment model
FedRAMP-ready en BSI C5 gecertificeerde implementatie op door de overheid goedgekeurde cloudinfrastructuur met verbeterde beveiligingscontroles.
Operator surface
The analyst-facing workflow stays consistent while the underlying residency and hosting model changes.
Systeemarchitectuur
Public Safety gebruikt een moderne, cloud-native architectuur die is ontworpen voor schaalbaarheid en betrouwbaarheid.
Web Frontend
Next.js / Cloudflare Workers
API Gateway
REST, GraphQL, and event services
AI Services
Model routing and governed processing
Objectopslag
Object storage with evidence retention controls
Capacity planning
Infrastructure sizing should reflect operator concurrency, ingestion load, evidence retention, and the models you expect to run in the environment.
Baseline
Use this lane for pilots, low-volume teams, or controlled proof-of-value environments.
Operational target
Plan for this lane when multiple teams, heavier ingestion, or sustained analytics workloads are expected.
Planning notes
The main drivers are document volume, evidence retention, graph depth, alerting frequency, and how much AI processing stays inside the boundary.
Telemetry
Deployment planning should include the telemetry needed to watch usage, queue depth, and operational load after go-live.
Neem contact op met ons team om uw implementatievereisten te bespreken en aan de slag te gaan.