Sirion operates a contract lifecycle management platform built on a mature ML and data infrastructure stack (Kubernetes, MLflow, Kubeflow, Seldon, Qdrant, Elasticsearch). Active projects span both platform maturation (CI/CD for ML, end-to-end MLOps pipelines, internal MLOps platform) and customer deployment at scale, signaling engineering focus on production ML reliability. Pain points center on scaling inference services, ML governance compliance, and database infrastructure — typical of a company moving from traditional CLM toward AI-driven contract automation.
Tech Stack 74 technologies
Core StackDynamics 365 SAP Oracle Workato Salesforce Selenium Postman Java Python Jira AWS Docker Kubernetes OpenShift PostgreSQL MongoDB Redis Elasticsearch Kubeflow MLflow Vertex AI SageMaker Prometheus REST Assured TestRail Azure GCP Qdrant Seldon KServe+40 more
What Sirion Is Building
◆Challenges
- Inefficiencies in contracting processes
- Scaling database infrastructure
- Improving reporting accuracy
- Budgeting and forecasting
- Sla adherence
- Ongoing system performance
- Smooth customer implementations
- Manual reporting processes
- Scaling ml inference services
- Ml governance compliance
▲Active Projects
- Contract lifecycle management solution development
- Ci/cd workflows for ml
- Aeo initiative
- Clm implementation projects
- Ai-driven legal technology solution development
- Sirion platform configuration
- Customer implementations
- Continuous process improvement initiatives
- End-to-end mlops pipelines
- Internal mlops platform
Hiring Activity
Steady50 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Integration Lead
Company intelligence
