Our Product &
Integration
ReMind isn't just a chatbot.
It's an enterprise-grade intelligence layer that plugs into your existing systems via REST API to deliver proactive interventions at scale.
2s
LATENCY
Intervene in real-time
97%
SUCCESS RATE
AI you can Trust
15yr
EXPERTISE
Operations & Research
The Intervention Flow
1
Trigger & Initiation
Your system detects a risky behavioral pattern.
Your backend calls the ReMind API with basic information.
2
Intelligent Interaction
ReMind conducts a real-time, conversational, risk assessment.
3
Risk Assessment
As the player interacts, ReMind analyzes responses in real-time, categorising risk and raising alerts if needed.
4
Actionable Feedback
Once the intervention concludes, ReMind provides a summary, risk justification, and recommendations.
5
Quality Assessment
ReMind concludes with a thorough QA measuring player engagement, assessment accuracy, and more.
Zero-Trust Architecture.
Standard AI automation is an unpredictable black box.
ReMind is an engineered, operator-defensible layer
built for the world's most highly regulated online gambling environments.
Three architectural guardrails isolate and manage risk in real time
Tier 1: Input Shield.
Inbound player input is structured as secure JSON to proactively minimize prompt injection attempts.
Tier 2: Core Intelligence.
Strictly bounded, specialized conversational models focused entirely on clinical responsible gambling interactions.
Tier 3: Output Guardrails.
Multi-layered semantic and deterministic sanity checks inspect every single message before it reaches your players.
Fail-safe corrective loop operating continuously behind the scenes
Self-Correction Retries.
Real-time automated adjustments triggered instantly if an output check flags an anomaly.
Instant Model Switch.
A resilient fallback strategy that transparently shifts core language models to guarantee secure, continuous uptime.
Explainable AI & Transparency
ReMind provides more than a chat with a risk score. It provides the "why" behind every assessment, allowing operators and regulators to audit decisions with confidence.
Risk Justification
We explain exactly what triggered a specific risk assessment, citing specific linguistic markers and behavioral patterns identified during the chat.
Intervention Summary
Receive a clear summary of what was discussed, the player’s receptiveness to change, and the specific tools recommended by ReMind.
Next Best Actions
Each interaction concludes with a suggested operational path, helping your RG experts focus on the highest-priority tasks.
Up and running in days.
Clean documentation and standard JSON outputs ensure that your team spends time on player experience, not complex logic.
Simple Authentication
Secured via server-to-server calls using dedicated API keys.
Clean 3-steps flow
Intervention initialisation
1
POST /chat
Initiate intervention with player metadata (language, activity metrics).
Receive unique intervention ID and first ReMind question.
Intervention progress
2
POST /next
Submit player input with the relevant intervention ID.
GET /next
Receive ReMind output, current risk level, real-time alert, and intervention status.
Intervention end
3
POST /summary
Request an intervention summary for a given intervention ID.
GET /summary
Receive intervention summary with justifications and recommenations.
Built to fit your workflows.
Ready to scale.
Explore how our Autonomous Intervention Agent integrates with your platform
Take Action Now.
Choose how you want to evaluate and deploy ReMind.
[ The Interactive Sandbox ]
Evaluate the Tech.
Test ReMind in our sandbox environment.
Free, instant access.
Test clinical risk scenarios.
View automated risk assessment and summary.
(Registration Required)
[ The Pilot Program ]
Validate the ROI.
Deploy ReMind alongside your existing phone workflows to prove interaction success, operational gains, and revenue preservation.
Zero-commitment trial.
Complete onboarding in 4 weeks.
Receive dedicated A/B testing calibration.