Observe.AI Tech Stack
AI agent platform for contact-center automation and customer experience
Observe.AI operates a conversational AI platform where enterprises deploy agents to handle customer interactions end-to-end, supplemented by AI copilots for human representatives. The stack reveals a production-grade operation: Java + Python backend on PostgreSQL + MongoDB + Cassandra, with Kafka for stream processing, Temporal for workflow orchestration, and GPT + Gemini for LLM integration. Adopting Vanta and Drata signals a shift toward compliance-as-code; replacing Elasticsearch and Prometheus suggests migration toward managed observability. Hiring is engineering-heavy with accelerating velocity, concentrated in backend and security roles—consistent with scaling stateful agent systems and enterprise governance requirements.
Tech Stack 86 technologies
What Observe.AI Is Building
◆Challenges
- Boosting agent productivity
- Automating qa
- Increasing resolution speed
- Adopting ai across contact center environments
- Operationalizing ai at scale
- Improving resolution speed
- Elevating service quality
- Complex enterprise selling
- Modernizing people practices
- Unifying disparate gtm teams
▲Active Projects
- Backend powering ai agents
- Scalable data pipelines
- Scalable data storage solutions
- Telephony integration (sip/ccaas/pstn)
- Enterprise-grade voice, chat ai agents and ai copilot
- Ai agent implementation and deployment
- Cloud infrastructure security automation
- Build & scale the ai agent motion
- Establish repeatable patterns and industry playbooks
- Multi-phase implementations