Employee as Code
A manifest defines an employee’s identity, role, skills, tools, permissions and lifecycle. Manage your digital workforce with the discipline of code.
GigaValue connects digital employees, content growth and structured information through ZevZev, FlowBoom and Rikan, supported by our integrated data infrastructure.
Digital employees / AI workforce
AI content growth engine
Daily intelligence for people and agents
GigaValue brings an AI workforce, content growth and structured information together on a common data foundation. Each product has a distinct role in a connected system.
Create, train, deploy, evaluate and operate AI employees with Employee as Code. Developers use the CLI; business teams use the console. An open-source core and enterprise offering support private deployment.
Within the GigaValue ecosystem:The AI workforce layer. ZevZev connects defined employee roles with tools and information, including content operations and structured intelligence.
A manifest defines an employee’s identity, role, skills, tools, permissions and lifecycle. Manage your digital workforce with the discipline of code.
Manage hiring, training, deployment, evaluation, upgrades, handovers and retirement as a repeatable lifecycle.
Measure and compare employee performance, run regression evaluations and review changes before upgrading a working employee.
Role-based access, isolated credentials, approval gates and audit trails help teams govern AI employees in enterprise workflows.
Choose the underlying runtime for your needs, with an architecture designed to keep employee definitions independent of a single engine.
Business teams can hire, review and evaluate digital employees through a visual console while developers work through the CLI.
Manage content growth across websites and publishing channels, from AI-assisted creation and review to builds, publishing, distribution and operational feedback.
Within the GigaValue ecosystem:The application layer. FlowBoom connects content workflows, digital employees and structured information into a practical growth operation.
Connect and manage websites in one place, with coordinated content operations across a portfolio of sites.
Create and review content, then build, publish and distribute it through a connected workflow.
Follow publishing activity through operational logs and recover a stable version when a release needs to be rolled back.
Rikan is a Chinese-language publication combining daily updates, structured summaries and topic collections. Its first channel covers AI, serving readers while organizing information for agent workflows.
Within the GigaValue ecosystem:The information layer. Rikan provides source material for content workflows and structured information for digital employees, connecting intelligence with action.
Follow what is happening in a field through concise daily briefings, then return to organized topic collections for context.
Explore tools, tutorials and rankings that help readers evaluate what matters and decide what to try next.
Structured domain information designed for subscriptions, search, citation and agent workflows, with API, Skills, Agent Feed and enterprise intelligence use cases.
Our integrated data infrastructure supports ZevZev, FlowBoom, Rikan and enterprise customers. It is a GigaValue capability shared across the ecosystem.
AI engineering and data infrastructure, with deployment, observability and scaling capabilities for enterprise workloads.
Our engineering brings deployment options, operational visibility and scalable architecture to enterprise AI and data systems. We work with your team to define the right setup for your workloads.
GigaValue is an AI and data infrastructure company helping enterprises build lasting capabilities in data, automation and growth.
We bring AI engineering, data infrastructure and content growth together, helping enterprises turn individual AI capabilities into practical systems.
Our engineering supports models including MiniMax, GLM, Kimi, DeepSeek and Qwen, alongside private deployments, so teams can choose models that fit their workloads.
Technology for greater value is our guiding principle. We invest in AI engineering to turn emerging capabilities into practical outcomes for enterprises.
Whether you are exploring digital employees, content growth or data infrastructure, tell us what you want to achieve. We’ll help you find a practical starting point.