MLOps: Taking Models to Production
CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.
Learn more →AI solutions only create value when they work seamlessly with your existing systems. We connect models and applications to your core systems and feed them the data they need through reliable pipelines.
We map systems, data sources and integration points.
We design the API and data flow architecture.
We develop and test integrations and pipelines.
We hand over with monitoring, alerting and documentation.
CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.
Learn more →Containers, automation and the fundamentals of AWS cloud architecture.
Learn more →Data preparation, exploratory analysis and visualisation: a solid foundation in data science.
Learn more →Enterprise systems such as core banking, ERP, CRM and document management, through APIs and data pipelines.
Yes. Real-time (API) or batch integration is designed according to need.
Automated quality checks and monitoring are added to pipelines, with alerts when issues arise.
Yes. Integrations are designed together with your IT team and handed over with documentation.
Tell us about your training, consulting or software needs and we will get back to you within 2 business days.