O
Ontic builds a connected intelligence platform for security teams in federal and enterprise sectors. The stack reveals a data-intensive, ML-forward architecture—Kafka, Spark, PyTorch, LangChain, Elasticsearch—paired with infrastructure-as-code (Terraform, ArgoCD, GitOps) and observability tooling, suggesting an engineering org focused on real-time threat detection and automated response. Active hiring is concentrated in engineering (9 roles), with leadership gaps in product and security, while projects span AIOps capabilities, workflow configuration, and federal GTM—indicating simultaneous build-out of core intelligence features and compliance-driven market expansion.
Tech Stack 50 technologies
Core StackAWS Kubernetes Terraform ArgoCD Jenkins MongoDB Elasticsearch Kafka Redis Java Python PyTorch LangChain Apache Airflow Apache Spark Docker Demandbase ZoomInfo Salesforce JavaScript TypeScript React GCP OCI Azure ArangoDB Spring Framework Spring Boot LinkedIn Sales Navigator Outreach+20 more
What Ontic Is Building
◆Challenges
- Client adoption and retention
- Siloed tools and manual processes
- Modernize operations and intelligence workflows
- Grow federal pipeline
- Maximize partner roi
- Expanding partner ecosystem
- Platform adoption
- Scalable ml production
- Scaling challenges
- System complexity
▲Active Projects
- Go-to-market strategy for federal sector
- Dynamic actions and workflow configuration
- Frontend systems for saas platform
- Implement aiops capabilities for intelligent alerting, anomaly detection, and automated remediation
- Enhance observability maturity using metrics, logs, and distributed tracing
- Drive infrastructure standardization and gitops
- Unified intelligence-led gsoc model
- Technology consolidation strategies
- Client-specific platform configuration optimization
- Partner enablement programs
Hiring Activity
20 roles · 15 in 30d
Department
Seniority
Notable leadership hires: Marketing Director
Company intelligence