Live product demo

From risky input to guardrail decision.

Run the flow. Catch the risk. Generate the record.

Customer support workflow

See the risk live

Awaiting session Idle

My SSN is 123-45-6789 and I need help.

I can help. I will not repeat sensitive data in chat.

Redisq detected sensitive data and kept it out of the reply.

Live customer input

My SSN is 123-45-6789 and I need help.

Leakage mitigation

SSN caught and contained

Risk flagged. Evidence attached. Reply kept clean.

Leakage evidence

No finding yet

Not available

Guardrail report

Run the flow

Awaiting report

The report shows the run, the finding, and the risk.

Risk score 0

Total findings 0

Guided Demo

Run the flow

Step through the demo.

Admin Token Used once. Project Name Name the workflow. Environment Pick the environment.

Try your own input

Paste the message

This becomes the live user.input event.

Customer Input

Product architecture

Built as a modular stack.

Each layer solves a different production problem.

Redisq Runtime

Orchestrate the workflow

Control sessions, state, and tool execution across one governed run.

Redisq Policy Gate

Validate every risky step

Reject invalid outputs, redact PII, and route high-risk actions into review.

Redisq Spend Guard

Control model cost

Apply spend caps, stop runaway loops, and shift simple work to cheaper paths.

Enterprise posture

Designed for secure deployment.

Private boundaries. Zero-retention friendly patterns. Oversight built in.

Private cloud fit

Deploy inside your security boundary.

Zero-retention paths

Keep sensitive data out of external training pipelines.

Hybrid model routing

Use local or lower-cost models where they fit.

Scrappy getting started

Start with secure log import.

Use Redisq before full integration.

Export logs

Pull logs from your current stack.

Encrypt with your key

Keep imported runtime data protected under your control.

Review findings fast

See leakage, injection, and risky actions before live integration.

Deployment path

Start with a 30-day pilot.

Blueprint. Configure. Validate. Launch.

Weeks 1-2

Blueprint the workflow

Map the bottleneck, the data path, and the approval surface.

Weeks 3-4

Configure the stack

Wire Runtime, Policy Gate, and Spend Guard to the workflow.

Launch

Run in production

Go live with guardrails, review points, and cost controls in place.

Self-Serve Onboarding

Pick one workflow and protect it fast

Ideal for founder-led demos, design partners, and first runtime guardrail integrations.

Choose a workflow Workflow Type

Best for customer support conversations where you want to inspect customer input, model responses, and risk findings.

What to send first

user.input
llm.request
llm.response

Start narrow. Prove the guardrail, the finding, and the report before expanding the scope.

First win

Project created
Project key created
First event received
First report generated

Copy-Paste Starter

Backend snippet for your first event

Live state

Current demo state

Project ID Not created yet

Project Token Not created yet

Session ID Not started yet

Risk moment

No active risk detected yet

Send the customer event to show how Redisq creates a finding, scores the session, and explains the evidence.

Risk Score 0

Risk Level Low

Finding None

Step 1

Session summary

Status Waiting

User Not available

Risk Low

View raw session JSON

No session loaded yet.

Finding log

Findings summary

Severity Waiting

Type No finding yet

Evidence Not available

View raw findings JSON

No findings yet.

Raw report

Inspect the generated payload

No report generated yet.

Execution timeline