Create dedicated digital employees for research, client delivery, and market expansion. Each one has its own skills, memory, and workspace—and delivers editable work, not just answers.
Start with a focused three-person digital team. Your first task is prepared automatically in Zhama, and you can add more employees whenever the workload grows.
For founders, consultants, product teams, and anyone who needs faster evidence-backed decisions.
Your first 3 digital employees
First outcome: A decision-ready market and competitor brief
Start a research briefFor agencies and professional services teams that turn rough inputs into client-ready work every week.
Your first 3 digital employees
First outcome: A structured, client-ready strategy deck
Prepare a client deliverableFor companies entering a new country, language, or sales channel—including cross-border commerce.
Your first 3 digital employees
First outcome: A prioritized market-entry opportunity brief
Evaluate a new marketNo credit card required. The task opens pre-filled in Zhama so you can review it before creating your free workspace.
Choose the TeGo path that fits your team size, data boundaries, and delivery requirements.
For enterprises
Deploy in your environment, customize around real workflows, and launch with hands-on engineering support.
For individuals and teams
No deployment required. Create dedicated AI coworkers and move real work forward from day one.
The model is rarely the bottleneck. Production AI needs isolation, governance, auditability, and operating visibility.
When dozens of employees use one shared AI assistant, sessions overwrite each other, memory becomes unreliable, and the system cannot support real operational load.
Teams cannot see where data goes, what sources an answer used, or how to prove compliance, so AI stays stuck in pilot projects.
If anyone can change AI behavior or overwrite shared settings, operations teams cannot safely govern AI across the enterprise.
Without a unified operations view, leaders cannot see employee coverage, resolution rates, automation value, or labor savings.
Tego OS is more than an AI assistant. It gives each role a governed AI coworker that can operate safely inside the business.
Each employee gets an isolated AI workspace with separate sessions, memory, and files, designed for enterprise-scale concurrency.
Conversations, knowledge, and files stay in enterprise-controlled storage, with independent backup, migration, and deletion.
Permissions, audit logs, operations dashboards, SLA controls, and versioning work together so every AI action is visible and accountable.
Tego OS ships with production-grade skills for IT operations and cross-border commerce, so new AI coworkers can support real workflows quickly.
Production workflows for internal support, growth operations, and highly regulated teams.
From the first employee message to diagnosis, remediation, and SLA tracking, common issues can be resolved in minutes while complex cases escalate as structured tickets.
Market research, competitor analysis, listing copy, creative assets, and multi-market localization run as one AI-powered operations workflow.
User-level isolation and targeted data deletion help regulated teams adopt AI while meeting strict audit and compliance requirements.
Typical production results after deploying Tego OS AI coworkers.
Common employee IT requests are diagnosed and resolved in minutes
Cross-border listing workflows that took more than a week can be compressed into one business day
Repetitive, rules-based work is handed off to AI coworkers
AI coworkers keep responding to internal and external requests around the clock
Actual results vary by industry, scale, and rollout depth. We can prepare a business impact assessment during your demo.
Tego OS is engineered for the operating, security, and compliance standards of production business systems.
Runs on Kubernetes or Docker inside the customer network, so data stays within the enterprise boundary.
Operation logs, AI call logs, and data export support regulated review and audit workflows.
Supports account login, LDAP, and enterprise SSO through OIDC or SAML, integrating with your existing identity stack.
Supports mainstream China-localized CPUs, operating systems, databases, and object storage for sovereign IT delivery.
Each employee’s conversations, memory, and files are isolated, with independent backup, recovery, and deletion.
Production-grade capacity guardrails, fault handling, and observability support enterprise SLA commitments.
Keep all data on-prem, run a hybrid architecture, or start quickly with SaaS. Choose the model that fits your governance requirements.
For teams with strict data residency and compliance requirements
Keep sensitive data local while Tego manages the control plane
Start quickly without managing infrastructure
TeGo Station Appliance
An enterprise AI digital employee appliance with hardware and software bundled. Run TeGo OS locally, keep sensitive data inside your network, and go live with your first digital employee in 1–3 days.
Start with the community edition, scale to enterprise deployment, and match the plan to your governance and operating requirements.
Explore the core AI coworker experience
Best for individual developers and small teams evaluating Tego OS.
On-prem deployment with enterprise support
Starting at $7,000/year, including high availability, governance, and managed support.
Full AI Workforce governance platform
Custom branding, advanced security, dedicated support, and POC validation. Custom pricing.
TeGo Cloud starts at $0. Sign up and work immediately — no deployment or maintenance.
Tego OS helps SaaS companies, cross-border commerce teams, IT service providers, public-sector organizations, and financial institutions build governed AI workflows.
Some customer names are not displayed publicly. Industry-specific references are available during your demo.
Resources for product, architecture, security, and operations teams.
A practical overview of core workflows, deployment options, and operating model.
Architecture, data isolation, and compliance model for architects and security teams.
Product updates, technical deep dives, and field notes from enterprise AI deployments.
Deployment, upgrade, and operations guides, including private delivery playbooks.
TeGo OS
Turn business processes, system capabilities, and organizational knowledge into AI workflows that can actually execute.
Start with one pilot workflow and validate business impact within 30 days.
