The only AI-driven data platform, built for DataOps
Experience how the Semarchy Data Platform natively connects with your DataOps ecosystem, empowering modern enterprises to collaboratively deliver data products and AI-ready data faster, aligning people, processes, and technology to accelerate outcomes.
Design and deliver data products faster with DataOps tools
Collaboration & parallel development
Enable multiple teams to work on multiple data projects simultaneously in our Unified Design Experience (DXP). SDP works with your DataOps tools and frameworks, enabling data engineers and product owners to develop, test, and deploy at scale.
Version control & CI/CD
Leverage Git (GitHub, GitLab, BitBucket etc.) for version control and CI/CD natively in your data lifecycle. Track changes automatically, roll back, and ship updates into production faster while ensuring quality and consistency.
Agentic design with Copilot
Accelerate complex data engineering work with Copilot, Semarchy’s custom-trained AI agent. Go from prompt to data product in minutes, suggest model refinements, resolve errors and more while providing human-in-the-loop approvals.
Modernize Your DataOps with SDP
See how Semarchy brings DataOps principles to life. Our AI-driven platform integrates seamlessly with your existing tools, enabling agile collaboration, automation, and continuous delivery of trusted data.
Deliver faster with the Semarchy Data Platform embedded in your DataOps ecosystem
Work with agility, built on DataOps principles
The Semarchy Data Platform is purpose built for DataOps. Streamline and scale your entire data product delivery pipeline with our Unified Design Experience (DXP).
Accelerate adoption
Easily connect with the DataOps tools and processes your teams already trust, like VS Code and GitHub, ensuring productivity from day one without disrupting existing operations.
Streamline delivery
Standardize your data product delivery operations to speed production, improve consistency, simplify management, and scale fast with shared, reusable components.
Collaborate at scale with confidence
Break down silos between developers, product owners, and business stakeholders. Design XP natively integrates with Git and supports CI/CD pipelines so teams can collaborate in parallel, maintain standards, and continuously improve without compromising quality.
Native Git integration
Leverage GitHub, GitLab, Bitbucket and more for version control, branching, and parallel workflows, making collaboration simple and eliminating bottlenecks.
Continuous integration & delivery
Adopt modern development best practices with automated CI/CD for your data pipelines, reducing risk and ensuring reliable, high-quality deployments every time.
Design with flexibility and precision
Easily create data products with file-based (SemQL, our intuitive, SQL-like language), GUI or Agentic design (Copilot) in DXP – giving data teams the flexibility to work how they want. Granular controls enable every data model, attribute, data governance workflow, data quality rule or UI can be precisely configured.
Flexible design
Switch seamlessly between a visual interface and file-based editing with Copilot right inside your workspace when you need AI assistance.
Robust customization
Use SemQL to refine every detail with precision, ensuring your data products align perfectly with business needs and technical requirements.
Accelerate delivery with Copilot
Speed up data product development with our custom-trained Copilot. Automate repetitive tasks, suggest model improvements, resolve errors and more with fully transparent chain-of-thought reasoning while providing human-in-the-loop approvals for control and governance.
Prompt to data product
Generate data products with just a prompt and example file from your project in just a few minutes.
Iterate, innovate – fast
Easily expand and improve the core data model with more entities, relationships, rules, views and more.
Take the fastest path to AI-ready data
From blog posts to product guides and everything in between, we’re here to help you along your data journey.


















































