Research Labs
Agentic AI Infrastructure for Research at Scale
Every researcher, cluster, and agentic workflow governed and visible from one platform, turning idle compute into research velocity
Agentic research workflows
Deploy agents that automate pipelines, process datasets, and run experiments without human intervention, with every action and token monitored and attributable to the project that triggered it.
Per-project cost control
The Klique AI Engine tracks token and compute consumption per team and project, with throttling and model rerouting that keep costs within budget. Chargebacks finance actually trusts.
On-demand development environments
One-click access to pre-configured compute and AI coding tools like Claude Code and Codex, via remote desktop or your preferred IDE. Governed sandboxes spin up instantly, no IT ticket required.
Maximized cluster utilization
Dynamic scheduling, GPU slicing, and automatic reallocation of idle capacity maximize utilization across Slurm, PBS, Kubernetes, or cloud.
Secure multi-tenancy
Isolate teams, projects, and datasets on shared infrastructure with per-tenant networks, storage, identity providers, and access controls.
Reproducibility by default
The Governance Engine logs every experiment, dataset version, and agent action automatically with full provenance, so any run can be recreated exactly and audited from hypothesis to result.
Self-serve AI access for every scientist
Researchers self-serve GPUs, CPUs, and AI tools with persistent environments through an intuitive interface, no Kubernetes knowledge, no IT support. Secure multi-tenancy and RBAC enforce isolation on the backend, so every scientist gets what they need without administrators managing individual requests.
Inside the walled garden
Researchers access RBAC-governed compute and approved datasets from a persistent walled garden, with permissions scoped to the exact resources each project requires. Agents are built, tested, and deployed from this sandbox without exposing data across teams or outside the institutional perimeter.
Built for how research labs actually operate.
Agentic experiment pipelines
Deploy agents that automatically trigger, sequence, and monitor experiments across distributed compute based on predefined conditions. Every run logged, versioned, and reproducible without manual intervention.
Model registry and versioning
Centrally store, version, and share models across research teams with full lineage from dataset to deployment. Every artifact traceable to the experiment that produced it.
Federated dataset access
Connect researchers to datasets across institutional repositories, data lakes, and external sources without moving or copying source files. Access governed by project-level permissions at the data layer.
One control plane across every cluster
The Orchestration Engine pools Slurm, Kubernetes, PBS, and cloud into a single optimized compute layer, scheduling workloads automatically across available capacity. Federated data management keeps each project’s datasets in place ensuring complete isolation between teams and compliance with institutional and grant data requirements.
From compute usage to grant reporting
Every compute resource, API call, and agentic workload is attributed to the team, project, or grant that generated it. Administrators use per-project dashboards to issue accurate chargebacks, track spend against funding allocations, and forecast infrastructure costs before they exceed budget.
Klique is trusted by the world’s leading national laboratories and high-performance research computing institutions.
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