Cloud Architecture
Design and evaluate cloud infrastructure with project requirements and architecture context.
Cloud & AI Architecture
The AI Workspace
for Cloud & AI Architects
Design cloud and AI architectures, understand infrastructure and model costs, validate technical decisions, and move architecture toward implementation from one connected workspace.
Requirements → Architecture → Cost → Validate → Build
Live architecture contextConnected
CloudApplication
AIModels & agents
ArchitectureConnected context
BuildInfrastructure
Validate3 checks passed
Estimated cost$4.2K/moWithin target
Product overview
Tuhul at a Glance
A connected workspace for making cloud and AI architecture decisions with context.
- What It Is
- Tuhul is an AI-powered workspace for cloud and AI architects developed by Sybrius Systems. It connects architecture design, cloud and AI cost analysis, technical validation, and implementation context in one workspace.
- Built For
- Cloud architects, AI architects, solution architects, and platform engineering teams.
- Core Workflow
- Requirements → Architecture → Cost → Validate → Build
- Works Across
- Cloud infrastructure, AI models, agents, cost, specifications, infrastructure-as-code, and implementation context.
Connected architecture
One Workspace. Connected Decisions.
Architecture decisions are usually spread across diagrams, pricing tools, documents, cloud consoles, AI conversations, and implementation repositories.
Tuhul brings those decisions together so architecture remains connected to requirements, cost, AI systems, security, specifications, and implementation.
Illustrative architecture workflow
Requirements→
Cloud & AI Architecture→
Cost→
Validation→
Implementation
Connected systemWeb AppAPIAI AgentModel GatewayDatabaseStorage
AI ModelsInfrastructureSpecificationsSecurityTeam Context
Core capabilities
What Tuhul Connects
AI Architecture
Connect AI models, agents, enterprise data, tools, retrieval, and infrastructure.
Cloud & AI Cost
Understand cloud cost and AI model cost while architecture decisions are being made.
Architecture Validation
Review technical trade-offs, dependencies, risks, resilience, and implementation gaps.
Architecture to Implementation
Move architectural intent toward specifications, infrastructure-as-code, and engineering work.
Team Context
Keep architecture decisions and technical context aligned across architecture and platform teams.
Tuhul connects cloud architecture, AI architecture, cost planning, architecture validation, and implementation context rather than treating them as separate tools.
Who it is for
Built for the People Making Architecture Decisions
Cloud Architects
Design and evaluate cloud infrastructure.
AI Architects
Connect models, agents, data, and AI infrastructure.
Solution Architects
Translate requirements into practical technical systems.
Platform Engineering Teams
Turn architecture decisions into repeatable implementation patterns.
Tuhul is developed by Sybrius Systems as an AI-native workspace for cloud and AI architecture teams.
Explore Tuhul
Go Deeper on the Tuhul Product Website.
Explore the complete Tuhul experience, including architecture workflows, AI capabilities, cost planning, integrations, and product details.
Built by Sybrius Systems