AI-OS is the only platform that sees what other agents miss. Production-grade fraud detection, responsible gaming, and intelligent support — in one package.
Every platform has blind spots. We mapped them — and built a system that closes them all.
Legacy systems only see what happened, never why. Intent classification at 92%+ accuracy changes the game.
15% of users silently quit after getting stuck. Real-time detection and proactive rescue cut churn by 40%.
Human reviewers burn out fast. AI-first triage with human-in-the-loop review reduces manual workload by 80%.
Mean time to respond for fraud cases is 48 hours. Sub-second automated action is the new standard.
Regulators demand explainable AI. Black-box models fail audits. Every decision must be traceable and reversible.
Going from 1 market to 10 requires full rebuilds. A truly modular architecture scales without rewrites.
A four-stage pipeline that turns raw data into decisive action — fully observable, fully reversible.
92.7% accuracy on 6-class classification. Understands what the user wants before they finish typing.
Real-time pattern matching detects struggle in under 2 seconds. Proactive nudges prevent abandonment.
AI triage + human review queue. Critical decisions get human eyes; routine cases auto-resolve.
Automated workflows trigger in milliseconds. Every action is logged, reversible, and audit-ready.
Real-time bot detection, collusion pattern analysis, and multi-account flagging with explainable confidence scores.
Self-exclusion, deposit-limit enforcement, and behavioural-risk scoring — all GDPR-compliant and auditable.
Multi-language chatbot with 94%+ intent accuracy. Escalates to humans when complexity exceeds AI confidence.
Drop-in CSS variables and API endpoints. Your brand, your domain, your users — our engine underneath.
The addressable market for AI-driven safety and gaming intelligence is $2.3B and growing 34% annually.
Global market for AI safety in online gaming and fintech fraud prevention.
Year-over-year growth driven by regulation, competition, and user expectations.
US, UK, EU, LATAM, APAC — regulatory-ready in every jurisdiction.
Conservative 5-year revenue target with proven unit economics.
Modern, battle-tested, and designed for horizontal scale from day one.
Async FastAPI + uvicorn. Pydantic v2 for validation. 50k RPS per node.
OpenAI GPT-4o, Claude 3.5, local Llama-3. Router picks the best model per task.
ACID transactions, vector similarity search, JSONB for flexible schemas.
Sub-millisecond caching and event streaming for real-time fraud pipelines.
Production orchestration with auto-scaling, health checks, and zero-downtime deploys.
mTLS between services, HSM for key storage, SOC 2 Type II audit trail.
Every dollar spent on fraud prevention returns $4–$7 in saved losses, retained users, and regulatory peace of mind.
Every decision comes with a human-readable rationale. Auditors love it. Regulators require it.
Live threat map, anomaly timeline, and automated alerting. See problems before they become incidents.
Mistakes happen. Every automated action can be rolled back with a full audit trail.
Conservative model with 15% monthly user growth and 8% monthly revenue growth.
| Year | Users | CCU | Revenue | Costs | Net | Cumulative |
|---|---|---|---|---|---|---|
| 1 | 14,400 | 288 | $1.15M | $1.05M | $103K | $103K |
| 2 | 61,200 | 1,224 | $4.90M | $3.60M | $1.30M | $1.40M |
| 3 | 260,000 | 5,200 | $20.8M | $12.5M | $8.30M | $9.70M |
| 4 | 1.10M | 22,000 | $88.0M | $44.0M | $44.0M | $53.7M |
| 5 | 4.70M | 94,000 | $376M | $188M | $188M | $242M |
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