Cogna automates custom software delivery using GPT-3.5, Claude, and internal LLM tooling to solve industry-specific problems in days instead of months. The stack reveals an AI-first, engineer-heavy org building toward autonomous capability: Dagster + Temporal for workflow orchestration, FastAPI + TypeScript for service delivery, and active work on agentic behavior pipelines and proof engines. Hiring accelerates across engineering and operations, suggesting they're scaling the core software factory while addressing legacy-system integration friction.
Tech Stack 21 technologies
Core StackPython FastAPI Dagster Temporal Cursor Kubernetes Terraform Datadog RAG TypeScript GPT-3.5 SQL SFTP SharePoint Codex Claude REST
What Cogna Is Building
◆Challenges
- Inefficiencies in legacy systems
- Fragile legacy systems
- Decades-old ways of working
- Inefficiencies in critical industries
- Complex challenges in physical industries
- Inefficient integration processes
- Complex integration challenges
▲Active Projects
- Backend services for saas applications
- Data pipelines and workflows with dagster and temporal
- Internal tooling for llms
- Proof engine for customer results
- Resilient connectors for apis and enterprise platforms
- Core platform and application capabilities
- Agentic behavior pipelines
- Vertical playbooks for asset intensive industries
- Partner strategies for global systems integrators
- Evaluation and verification frameworks
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
Company intelligence
