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cohere.comEnterprise AI models and platforms for private, secure deployments
Enterprise AI models and platforms for private, secure deployments
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Deploy full-stack Next.js and Angular apps from GitHub onto Google's managed web infrastructure.
Deploy versioned web services to Google's managed application runtime.
Orchestrate infrastructure plans, approvals, and deployments across IaC tools.
Build and run JavaScript or TypeScript web applications on a managed serverless platform.
Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.
Use a cross-platform SQL database engine that ranges from embedded and single-user use to multi-client deployments.
Deploy Git-backed applications to managed containers with review apps, autoscaling and operational metrics.
Turn Markdown content and Tera templates into a static website with a single CLI.
A dedicated internal messenger offered as air-gapped, self-hosted, on-premises, or cloud-hosted.
Sustainable-home research with building guides and product comparisons
Blue-team courses and analyst learning paths.
Generate scientific colour scales with a controlled path from black to white.
A project suite with WBS tasks, Gantt and Kanban, resource plans, costs, and project reporting.
A self-hostable database engine for relational, document, graph, vector, and time-series data.
Publish and govern APIs through an Azure gateway, policy engine, catalog, and developer access layer.
Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.
Package Kubernetes resources as charts and manage their installation as releases.
Build colour harmonies with an RYB wheel and export palettes for design apps.
A field-crew time tracker with GPS clock-ins, offline capture, timesheets, and invoice workflows.
Manage projects, work items, cycles, and docs in cloud or self-hosted workspaces.
Mapped sales accounts with route planning and meeting follow-up tools