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Professional services automation platform for projects, resourcing, and finances.

A keyboard-first team workspace with channels, threads, one inbox, shared pages, and an MCP server.

A prompt engineering workspace for comparing models and refining AI workflows

Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.

Bring manual cases, exploratory sessions and automated test results into one QA workspace.

Publish an internal wiki with restricted spaces, accountable owners, and searchable pages.

Energy-transition artwork with separate small and large optical masters.

Inject controlled faults into Kubernetes workloads to test recovery and resilience.

Combine software-team issue tracking and a project wiki with repository-linked work.

Run controlled chaos experiments and reliability checks against services before failures reach users.

AI review analytics and marketplace data for sellers and brands

Prompt management for product teams to build, test, and deploy AI prompts.

Online coding assessment platform for AI and ML engineering roles

Create named part variants from a generic model and controlled table values

Manage product, development, testing, and knowledge workflows in one platform.

Algorithms, distributed systems and engineering ideas

An agentic engineering tool that turns prompts into specs, designs, and tasks, then implements them with parallel agents.

Run background agents in the cloud, governed and secured at the kernel.

Fully managed cloud platform for data engineering, analytics, and AI

AI product management that turns customer feedback into ranked projects and code-aware specs

AI agents that review and test pull requests with full context of the codebase.

Governor grounds coding agent requests in your code and routes them to the best model

Coordinate construction schedules, field production, resources, and risks across project teams.

Apply for senior engineering and AI missions with a defined team