D
Dataminr Tech Stack
AI platform for real-time event detection across multimodal public data
Dataminr ingests and processes data from over one million public sources—text, image, video, audio, sensor signals—using a stack anchored on Kafka, PostgreSQL, and PyTorch to detect events, risks, and threats in real time. The company is actively scaling its multimodal and agentic AI capabilities while tackling known challenges around model performance, data volume spikes, and technical debt reduction. Sales hiring outpaces engineering, suggesting a go-to-market acceleration phase for existing product lines.
Tech Stack 53 technologies
Core StackSplunk Java Scala Python Kafka PostgreSQL Redis Elasticsearch AWS JavaScript TypeScript React GraphQL Jest Playwright Cypress PyTorch QRadar Cortex XSOAR Swimlane Multimodal AI Kinesis Aerospike AWS SNS AWS SQS TanStack Query Zustand REST Vitest Hugging Face Transformers+22 more
What Dataminr Is Building
◆Challenges
- Enhancing force protection
- Real-time event detection
- Improving security, reliability, cost efficiency and performance
- Technical debt reduction
- Improving ai model performance
- Handling massive data spikes
- Reducing complexity and delivery risk
- Integrating external systems
- Optimizing prospecting playbooks
- Developing talent
▲Active Projects
- Multimodal ai
- Joint demand generation campaigns
- Regenai
- Regenerative ai platform
- Agentic ai capability
- Agentic ai intel agents
- Channel partner ecosystem development
- Observability stack improvement
- Pipeline goal achievement
- Improve performance of ai models and ai tooling in real-time event detection
Hiring Activity
Steady60 roles · 25 in 30d
Department
Seniority
Notable leadership hires: Sales Development Director
Company intelligence
