Accountable AI adoption at scale.

What the firewall did for the internet, Raidu does for AI. Every model, every agent, every team, in your cloud, on record.

Book a working session See how it works

A prompt from Claude Code to Anthropic.

Redacted Customer name, inside your cloud

Illustrative film, no customer data.

The problem

Your AI pilot works. The approval is what's stuck.

Three people can stop an AI project. Each one needs an answer, not a policy document.

  • Security

    Can't see what data leaves.

    Any prompt to an outside model could carry customer data.

  • Risk and audit

    A policy PDF is not enforcement.

    There is no record of what each AI system did or who approved it.

  • Finance

    Nobody owns the spend.

    People use AI on personal accounts, and the invoice is the first signal.

What Raidu does

Say yes to AI, with the controls in place.

Two products, one install in your cloud account: Tower for AI calls, Wheelhouse for personal data under India's DPDP Act.

Your people, apps and agents

Chat, coding assistants, AI features and agents

Your cloud account

Raidu

TowerAI calls: data masked, policy checked, spend tracked WheelhousePersonal data: discovery, consent, rights, breach clocks

The models you choose

60+ providers, only approved requests

Every decision is written to a tamper-evident record in your account.
Illustrative product film. No customer data.
model providers, one runtime
60+
personal data and credential types caught
79
controls, 13 frameworks
924
DPDP provisions indexed as obligations
130

The record

When someone says "show me", hand over the record.

Every request, decision and approval is written to a tamper-evident log you can export when security, risk or an auditor asks. The examples below are illustrative samples, not customer data.

AI · Tower

Show me what the model saw.

A clinician pastes a discharge note into the console. Four PHI types are tokenised before the model sees them. Decision, policy and cost land on one tamper-evident entry.

Record 4,182 AI Console · 14:02:11Z
Prompt
Summarise this discharge note for the family
Seen before the model
4 PHI types, tokenised before the model
Policy
HIPAA-PHI-03
Decision
Allowed, redacted
Cost
1,284 tokens · $0.0042
sha256 14c889f6a714d945afcd15795126164f…
entry 4,182 of 4,182 · write-once

Data · Wheelhouse

Show me the clock.

A breach signal arrives at 3 a.m. The responder records an awareness determination, and two clocks start: six hours to CERT-In, seventy-two to the Data Protection Board.

Incident 27 Breach clocks
Aware at
03:04:12 IST
CERT-In
5h 12m left
Data Protection Board
71h 12m left
sha256 e04576a5d4b48009582257c65cbfc1df…
write-once

AI · Tower

Show me why it was refused.

A user types "ignore all previous instructions". The jailbreak policy fires before the stream opens, and a violation record is written.

Record 4,190 AI Firewall
Detected
Prompt injection
Policy
JAILBREAK-01
Decision
Blocked before the model
sha256 9d29ef786f078194557f885b262a5434…
write-once

Data · Wheelhouse

Show me the proof.

A regulator receives a proof pack: the chain of records and the receipts, linked so any change shows.

Proof pack 12 DPDP
Entries
18,204
Chain
Intact
Record
Tamper-evident
sha256 12f53158b12fadc7dd98b8a32109de61…
write-once

See the full evidence and audit capabilities

How it works

Live in your cloud, in three steps.

  1. 01

    Connect.

    Raidu runs in your own cloud account. Route your applications and agents through it by changing an endpoint, and give employees the governed workspace.

    Find out more ›
  2. 02

    Set the rules.

    Choose what must be masked, blocked or approved, who can use which models, and what each team may spend.

    Find out more ›
  3. 03

    See and prove.

    Watch usage, cost and decisions in one place, and export the record when someone asks.

    Find out more ›

Raidu runs in your own cloud account, as part of your infrastructure.

Who it's for

One answer for every team.

Raidu gives each team the answer they need to move forward.

Security leaders

Say yes to AI with your data, your agents and the evidence under your control.

For the CISO › Risk and compliance

The policy is enforced where AI runs, every decision has an owner, and the record is yours to hand over.

For compliance › CIOs and platform teams

One governed path to the models teams need, so projects ship without a fresh security review each time.

For the CIO › Finance

Know what AI costs by team before the invoice, and set budgets.

For finance › Privacy and data protection

See what personal data went to which model, and stop it where it should not go.

For the DPO ›

Common questions

Answered straight.

Is Raidu another AI model or a chatbot?
No. Raidu does not replace your models. It sits between your people, applications and agents and the models you already use, and controls what goes in, what is allowed and what is recorded.
Where does Raidu run?
In your own cloud account: AWS, Google Cloud or Kubernetes.
Do you see our prompts and data?
Raidu runs inside your own cloud account and processes prompts and responses there. The only call Raidu makes on its own is a daily timestamp request that carries a hash of the record, not its content. See the Security page for detail.
Which models does it work with?
Raidu works with the models you allow, across 60+ providers. See the integrations list.
How do my applications connect?
By routing requests through Raidu. For many applications this means changing the endpoint they call. Compatibility depends on the application and model provider, so we confirm it with your team in the first week.
Does it stop every leak?
No control can promise that. Raidu finds and masks or blocks sensitive data on the routes that go through it, records each decision, and shows you what it could not cover.
Can it control AI agents?
Raidu records agent activity and can require a person's approval before specific actions. Your team chooses which actions need approval.
What does 'on record' mean?
A log of each request, decision and approval, built so that tampering can be detected, which you can export.

Get started

Bring your stalled AI project.

30 minutes. We run one of your AI requests through Raidu and you leave with its record.

Book a working session See how it works