Polysync is a metadata-driven, multi-cloud orchestration platform that unifies pipeline scheduling, dependency management, and live monitoring across Azure and Google Cloud, from a single control plane. Delivered as a SaaS subscription on the Azure Marketplace, with no orchestration code to write and no infrastructure to operate.
Polysync is a control plane. Your existing cloud services keep doing the work; Polysync decides when they run, in what order, and gives you one place to see what happened across every connected platform.
Polysync is sold as a subscription on the Azure Marketplace. There is nothing to install. Sign in with your Microsoft 365 account and your tenant is provisioned automatically.
One subscription, one invoice from Microsoft. Polysync runs as a SaaS application; you don't manage servers, databases, or runtimes.
Authentication uses Microsoft Entra ID single sign-on. Polysync inherits your tenant's identity controls, conditional access policies, and group membership.
Each customer's configuration and run history lives in its own database schema. There is no shared table that mixes data between tenants. Run more than one instance under the same organisation, a development instance beside production for example, and each one keeps its own schema, configuration, and bookmarkable address.
Link your own Azure Key Vault, AWS Secrets Manager, Google Cloud Secret Manager, or HashiCorp Vault. If you'd rather not, Polysync holds the credential in its managed Azure Key Vault.
Administrators configure platforms, connections, and users. Operators run, monitor, and reschedule jobs. Access is enforced server-side on every request.
The scheduler and dispatcher run as independent services with concurrency caps, leaky-bucket rate limits, and rolling-window throttles per platform connection. Add platforms and tasks without re-architecting orchestration.
Polysync was founded in Australia by an engineer with 20 years in technology, 15 of them in data engineering, who kept running into the same problem.
Organisations keep investing in data, analytics and AI, and each success adds another tool underneath: Azure Data Factory, Databricks, Microsoft Fabric, Synapse, Azure OpenAI, and services from AWS and Google Cloud. Each one does its job well. Running them together means separate schedulers, separate dashboards, separate security models and separate operating habits.
Samir has worked in technology for 20 years, 15 of them in data engineering, building and running data, integration and cloud platforms. On project after project, the time went to the same places: glue code between services, dependencies chased by hand from one platform to the next, and three questions that were harder to answer than they should be. What is running, what failed, and what happens next?
Polysync is the tool he wanted on those projects: one control plane that schedules, sequences and monitors the platforms a team already uses, without asking anyone to replace them. His Master of Information Technology from QUT, with a major in Executive IT, means he looks at the problem from the business side as well as the technical one. A tool is worth adopting when it helps an organisation run reliably and deliver what it set out to deliver.
Our mission: help organisations simplify the orchestration of data, integration, and AI workloads across cloud platforms.
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