Public Sentiment Overview
View All82%
Overall
Positive Sentiment
- Very Positive42%
- Positive36%
- Neutral10%
- Negative5%
- Very Negative3%
Solutions · Sovereign AI
Intelligence that stays inside your border.
Public bodies cannot always send citizen voices and grievances to somebody else's servers. Civiq.plus separates the model from the module: speech and embeddings run on your own machines today, language and video models route through one audited gateway, and moving a workload onto your own GPUs is a configuration change rather than a rebuild.
Residency
Decide where each workload runs
Sovereignty is rarely all-or-nothing. Most deployments want transcription and embeddings kept strictly local while a general-purpose model is rented until their own cluster is ready. The platform treats that as normal rather than exceptional.
- Audio transcribed on the machine that received it
- Embeddings generated in-process, never posted out
- Language models routed per capability, not per feature
- Self-hosted inference attaches behind the same gateway
Citizen Feedback Trends
View All- Service Satisfaction82%↑ 8%
- Infrastructure68%↑ 5%
- Cleanliness61%↑ 4%
- Safety & Security74%↑ 6%
- Transparency79%↑ 7%
Service Delivery Monitoring
View All78%
Overall
Service Index
- On-Time Delivery81%
- Quality of Service76%
- Resolution Rate74%
- Citizen Reach79%
Capabilities
What sovereign operation provides
Your hardware, your jurisdiction
Speech and embeddings already run on your own machines. Language and video models move to your GPUs through the same gateway, with nothing above the interface changing.
One gateway, many providers
Model choice is configuration. Route a capability to a hosted provider today and to your own cluster tomorrow without touching the modules that depend on it.
Cost visible before you spend
Every model in the catalogue is priced per run against your own call volume, so choosing a model is a decision made with the number in front of you.
Credentials encrypted at rest
Provider keys are sealed with AES-256-GCM and never returned to a browser. An operator with database access still cannot read them.
Every call metered
Model, tokens, latency, cost and status are written for each request, so spend analytics reflect what actually happened rather than an estimate.
Guardrails that are enforced
Withholding personal data and requiring source attribution are applied in the agent layer, not merely displayed as policy on a settings page.
Tiers
Where each kind of model runs
What is local today and what is routed is stated plainly, because a claim of sovereignty that is not specific is not a claim at all.
| Workload | Where it runs |
|---|---|
| Speech to text | Runs locally on CPU today — audio never leaves the machine that received it |
| Text to speech | Local neural voices, including Indian-language voices, on the same tier |
| Embeddings | Generated in-process for search and clustering; no text is sent to a third party |
| Language models | Routed through the gateway — hosted providers now, your own GPUs when they land |
| Video generation | Hosted GPU today, self-hosted on your hardware through the same interface |
Governance
The controls around every call
| Control | What it does |
|---|---|
| Residency | Which tier handles a workload is a configuration decision, not a code change |
| Routing | One primary model, one fallback, both named — no silent substitution |
| Ceilings | A monthly budget and a per-run maximum, enforced before the call, not after |
| Metering | Every call recorded with model, tokens, latency, cost and outcome |
| Guardrails | Personal data withheld from prompts, harmful output blocked, attribution required |
| Approval | Anything that would reach citizens waits for a named approver |
Ready to transform civic outcomes?
See how Civiq.plus can help your teams make better decisions, faster.