NotCo uses proprietary AI (Giuseppe) to accelerate food product development for CPG companies and its own brands. The stack reveals a dual operating model: enterprise cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform) for the AI and analytics backbone, paired with business-process tooling (SAP, Salesforce, Power BI) for manufacturing and commercial operations. Active hiring across engineering, product, and sales—with a senior-heavy cohort—combined with projects spanning monitoring, data exchange, and KPI dashboards suggests scaling both the AI platform itself and go-to-market motion post-CPG validation.
Tech Stack 26 technologies
Core StackAsana SAP Power BI AWS GitHub Actions Docker Kubernetes Terraform Python FastAPI JavaScript TypeScript Vue Notion Microsoft Project Microsoft Office Google Workspace Excel SAP HANA Google Sheets GCP Azure GCS Cloud Run Git
AdoptingTableau
What NotCo Is Building
◆Challenges
- Scaling infrastructure for ai workloads
- Scaling product development
- Ensuring consistency across textures
- Balancing technical precision with creativity
- Renovation and reformulation projects
- Reducing waste
- Improving internal processes
- Highly competitive retail environment
- Improving administrative and financial processes
- Managing customer collections
▲Active Projects
- Monitoring and alerting implementation
- Giuseppe ecosystem data exchange modules
- Advanced culinary r&d
- Marketing mix execution
- Renovation and reformulation projects
- Development projects
- Production order management
- Kpi dashboard creation
- Commercial plan development for key retail accounts
- Internal formulation library
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
Company intelligence
