Which models can people use?
The AI Console supports 60+ providers, with 467 models configured. Each model is enabled per organisation. The record shows who used which model, when, and at what cost.
Solutions · Chief AI Officer
Can we say yes to AI without losing control?
Yes, when every model access is recorded and every budget is enforced before the call. 467 models across 60+ providers, each enabled per organisation, with every agent step on the record.
Runs inside your AWS, GCP or Kubernetes install.
Last reviewed
Illustrative. No customer data.
The difference
Their way, and ours.
Their wayRaidu
People use whatever model they find.467 models configured, enabled per organisation.
Agents running without a record.Every message and tool call through the same policies, step by step on the record.
AI spend discovered at month end.Budgets and alerts before the invoice.
What you get asked
And the record that answers it.
What are our agents doing?
Agent Firewall runs every message and tool call through the same policies as the console. Tool output is scanned for personal data before the agent reads it. 473 prebuilt tools across 33 categories are available. Every step is on the record.
What is it costing?
AI FinOps tracks cost per decision, per team, per model. Budgets run per user, team, group, organisation, or client app, on daily, weekly, or monthly limits, with alerts to the budget owner. The spend is on the same tamper-evident record as any other decision.
Products
What covers this.
AI Console
60+ providers and 467 models, enabled per organisation.
Read more ›Agent Firewall
473 prebuilt tools across 33 categories. Every message and tool call through the same policies, with every step on the record.
Read more ›AI FinOps
Cost per decision, per team, per model, with budgets and alerts.
Read more ›The product
See the screens.
Product windows from the films, with sample data. No customer data.
The record
The model access decision, on the record.
Every model call from the console or SDK passes the same policy layer. Who accessed what, and at what cost, is written down on a tamper-evident record.
- Team
- Product research
- Model
- Provider enabled · 467 configured
- Personal data
- None detected
- Budget
- Within limit
- Verdict
- Allowed · on record
sha256 c88cb978a8d91bf3dafcfa6d8ba5b705…
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published with the recordc88cb978a8d91bf3dafcfa6d…
Hash matches
Common questions
Answered straight.
Can we roll out AI to a new team without opening up every model?
Yes. Models are enabled per organisation, team, or group. Add a team to the AI Console with only the providers and models you approve.
How does Raidu handle an agent that calls another model mid-task?
Agent Firewall intercepts every outbound call, including chained agent calls, and runs the same policy checks. Each step is a separate tamper-evident record.
Can we see which teams are spending the most on AI?
Yes. AI FinOps shows spend by team, by model, and by time period. Budgets can be set per user, team, group, organisation, or client app, with daily, weekly, or monthly limits.
What happens if an agent reads a file containing API keys?
Tower detects credential types including Stripe live keys, Google API keys, private keys, JWTs, and bearer tokens. Tool output is scanned before the agent reads it. A match is replaced with a coded stand-in such as CREDENTIAL_1 and the event is written to the audit record.
Where does all of this run?
Raidu deploys inside your own AWS, GCP, or Kubernetes install. There is no Raidu-operated SaaS.