Professional Services
Knowledge Grid helps organizations deploy, integrate, and operationalize the Cognitive Data Platform across security, AI, and data analytics workflows.
Platform Implementation
We help deploy the Knowledge Grid Cognitive Data Platform in your environment and configure it for your security telemetry, infrastructure, and operational requirements. This includes platform setup, data onboarding, environment configuration, initial use case alignment, and validation of the Temporal Data Grid foundation.
Integration Services
We connect Knowledge Grid to your existing security and AI infrastructure, including SIEMs, data lakes, S3 pipelines, security platforms, AI applications, and downstream analytics tools. Our integration services help ensure that Knowledge Grid complements your current stack by enriching investigations, supporting AI-ready context, and enabling secure data flow across systems.
Warsaw R&D team
Data Science Advisory
Our Warsaw R&D team works with customers on custom analytics, anomaly detection, feature engineering, and advanced security data use cases. This service is designed for organizations that want to explore high-value applications of the Cognitive Data Platform, including custom detection logic, behavioral analysis, AI model support, and specialized telemetry analysis.
AI Advisory Services · Diagnostic Engagement
Contextual Data Readiness Assessment (CDRA)
A diagnostic for AI-ready security data.
Before you invest in AI for security, find out whether your data can actually support it. The CDRA scores your environment against the AI Data Readiness Index and delivers a prioritized roadmap to AI-ready data context — a defensible answer to the question your board is already asking.
Service Engagement Overview
01. Evaluate & Discover
We begin with dedicated discovery sessions to map your data landscape, perform a fit assessment, and identify high-value security use cases tailored to your environment.
02. Deploy & Integrate
Seamless integration of the Knowledge Grid Platform with your existing security stack and data sources, establishing a unified cognitive data layer without operational friction.
03. Operate & Optimize
Continuous model tuning and anomaly review in close collaboration with SOC and MSSP teams to ensure optimal signal-to-noise ratios and proactive threat response.