Built for deep developer control. Extend Gathr.ai your way—create custom connectors, script ingestion logic, or control data flows with APIs.
Deploy on your terms
Bring Gathr.ai to your infrastructure and control boundariesDeploy Gathr.ai where and how you want—without changing your cloud strategy, security posture, or governance standards.
Deploy with confidence using configuration-driven setup and Infra-as-Code, with full transparency and automation.
Provision with full control
Orchestrate, automate, scale—your way
Gathr.ai supports enterprise-grade provisioning across complex environments.
Define workspaces, isolate among teams, set policies, and automate provisioning—all within your existing DevOps frameworks.
- Workspaces for environment isolation and team-level governance
- Fine-grained policy controls over compute, data, and AI usage
- Single-tenant or multi-tenant operation modes
- Autoscaling, burst-mode execution, and zero downtime upgrades
Program everything—from policy to provisioning—using APIs, CLI, or your Infra-as-Code workflow.
Execute anywhere
Run workloads on your choice of infrastructure Execute data and AI workloads flexibly across your stack—with full control over performance, cost, and scale.
Assign compute dynamically, override defaults, and route specific jobs to the most efficient infrastructure using code or configuration.
Customize everything. Extend anything.
Shape Gathr.ai your way—across logic, flows, and systems.
Gathr.ai isn’t just configurable—it’s deeply customizable and extensible.
- SDKs and APIs for full control
- Custom blocks, triggers, and logic using Python, SQL, or Java
- Sandbox and test environments for safe iteration
- Extensible connector and operator libraries
From writing JAVA, custom operators, UDFs, and Python functions to Python CUDA routines—Gathr.ai is designed for engineers who like to build.
See Gathr.ai in action
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