Cortif AI provides a control‑plane platform that secures and manages AI models in production, offering real‑time monitoring of latency, throughput, error rates, and resource usage with millisecond precision. The system continuously runs AI workloads 24/7, automatically routing and optimizing workloads while alerting operators before issues become critical. It is designed for enterprises seeking reliable, secure AI infrastructure and proactive cybersecurity for their deployed models.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI models in production often lack tools to continuously monitor performance, detect anomalies, and ensure security and compliance, leading to hidden latency spikes, cost overruns, and potential data breaches.
Solution
Cortif AI provides a control‑plane and cybersecurity platform that runs AI workloads 24/7, automatically routing and optimizing requests while delivering millisecond‑level visibility into latency, throughput, error rates, and resource utilization. Predictive analytics forecast resource needs and model behavior, enabling proactive scaling and cost management. Integrated security features such as automated PII detection, content drift monitoring, and on‑premise audit trails help meet regulatory requirements. The system generates weekly performance reports and alerts operators before issues become critical, reducing firefighting and downtime. An extensible dashboard and API allow teams to embed observability into existing workflows and integrate with communication tools like Slack, Teams, and email.
Target Audience
Primary customers are engineering and DevOps teams at mid‑size to large enterprises that run production AI/LLM workloads and need continuous observability, security, and compliance.
Features
- Real‑time monitoring of latency, throughput, error rates, and resource usage with millisecond precision
- Predictive analytics that forecast trends and resource requirements from historical data
- Automated anomaly detection and self‑healing actions to remediate performance degradations
- Built‑in security controls including PII detection, sentiment analysis, and content drift monitoring
- Multi‑provider cost/quality benchmarking and intelligent prompt optimization to reduce token usage
- Comprehensive reporting suite with weekly automated performance summaries
- Integration hooks for Slack, Microsoft Teams, email, and custom APIs, plus on‑premise deployment options for regulated environments