Human-Led Strategy
You set the vision, priorities, business rules, and decisions that matter.
The operating system for AI-First companies
Infrastructure for AI-First Operations.
Connect human leadership, an AI Chief of Staff, specialized teams, and the systems they work with. Begin with one useful mission and expand from there.
Start free. Build your first AI team. Scale when you’re ready.
Founder / Human Owner
Vision, priorities, and critical decisions
AI Chief of Staff
Coordinates teams and brings results back to you
Example mission
Understand a market
Result
A sourced market brief for your review
Your operating controls
- Set a spending limit
- Review sensitive actions
- Inspect execution history
You lead the vision. Your AI workforce executes.
How the layers work together
- 01
Company workspace
People define objectives, inspect results, and decide on approval requests through the web and connected app surfaces.
Read the Documentation - 02
Organization and missions
The company blueprint describes agents, teams, tools, knowledge, and operating policy. Missions give work objectives and a trackable execution state.
Read the Documentation - 03
UARP execution runtime
The runtime coordinates agent runs and tool calls. Integrations connect the company to outside systems under the configured access rules.
Read the Documentation - 04
Controls and accountability
Approval requirements, usage limits, spending controls, and execution records let owners inspect and govern the work.
Read the Documentation
Companies Are Becoming AI-First.
Traditional companies grow by hiring more people and adding more tools. AI-First companies combine human leadership with specialized AI teams that coordinate operational work from day one.
AI-Powered Operations
Specialized AI agents collaborate across departments to execute business workflows.
Built-In Oversight
Track execution, manage permissions, control spending, and approve sensitive actions.
Your Company. Your AI Workforce.
Build the company, not just the automation. Design an organization around the work your business needs to get done.
AI Departments
Organize agents into functional teams with defined responsibilities.
Chief of Staff
Delegate work, track progress, and keep teams aligned with company goals.
Missions & Workflows
Turn objectives into structured tasks and repeatable processes.
Tools & Integrations
Connect agents to the data, applications, and services they need.
Governance & Approvals
Define permissions, approval requirements, policies, and spending limits.
Operational Visibility
Review agent activity, task execution, costs, and results.
From an Idea to an AI-First Organization.
- 01
Define Your Company
Describe your business, its customers, and the result it needs to achieve.
- 02
Build Your AI Teams
Choose specialized agents, assign responsibilities, and connect their tools.
- 03
Set Missions and Workflows
Give your organization goals, deadlines, budgets, and operating rules.
- 04
Let Your Teams Execute
Your Chief of Staff coordinates work and returns results for review or approval when required.
- 05
Monitor and Improve
Review outcomes, adjust workflows, track costs, and expand your organization.
Built with Snaga
We Built an AI-First Company on Snaga.
Meet Gliesereum — an autonomous AI-powered Ukrainian newsroom operating on Snaga’s infrastructure.
Specialized agents discover news, make editorial decisions, write, and verify articles through a recurring publishing workflow. Publications and selected execution records are public.
Gliesereum is a founder-operated company and production implementation of Snaga, not an independent paying customer.
Records change over time and include failures and readiness warnings. This example demonstrates a working implementation, not guaranteed business results.
Start AI-First. Grow AI-Native.
Solo Founders
Build an AI-supported organization without hiring a full traditional team first.
Startups
Coordinate research, product operations, and execution with specialized AI teams.
Existing Businesses
Introduce AI-driven processes into current operations with human oversight.
Developers & Builders
Integrate agent teams into applications and business systems through APIs and SDKs.
More Than Agents. The Infrastructure Behind Them.
Running a company with AI takes coordination, access control, execution infrastructure, and operational accountability. Snaga brings these capabilities into one platform.
- Multi-agent orchestration
- Teams and organizational hierarchy
- Missions and task management
- Workflow execution
- Tools and integrations
- Knowledge and context
- Permissions and approvals
- Usage and spending limits
- Audit trails and monitoring
- APIs and developer SDKs
Powered by UARP
UARP provides Snaga’s underlying agent-orchestration infrastructure. Explore the runtime, API, and integration contracts in the technical documentation.
Read the DocumentationAutonomy Without Losing Control.
AI-First does not mean uncontrolled AI. Set the goals, permissions, budgets, and approval requirements within which your teams work.
Define the Rules
Specify what agents are allowed to do.
Control Spending
Track AI usage and establish operational limits.
Review Important Actions
Require approval when your business process demands it.
See What’s Happening
Inspect execution history and operational activity.
Start With One Useful Mission.
You don’t need to design the whole company today. Create an account, build your first team, and put it to work on one clear result.
ResearchA comparison with sourcesDocumentsA document to review and shareRecurring tasksReview a sample summary before scheduling
Your chosen task opens as an editable draft after sign-in. Add your details before sending.
Start Small. Scale Your AI Workforce.
Start with your first AI team and expand as your organization grows. Compare team capacity, execution allowances, integrations, and controls.
Free
Build your first AI team.
$0
- Tokens per month
- 2,700,000
- Included tokens per day
- 90,000
No credit card · choose your first task
- 2 agents + 1 team — real orchestration, free
- 300 runs a month — enough to actually use it
- AI usage included — no separate model bill
- Files and conversations in one workspace
Resets and extra usage
- 90,000 tokens a day — resets at 00:00 UTC, unused do not roll over
- Past the limit: runs wait until the next reset
- 2 runs at a time
- Your monthly allowance comes back on the 1st at 00:00 UTC
Starter
Put a small AI organization to work.
$20/mo
- Tokens per month
- 22,500,000
- Included tokens per day
- 750,000
Cancel anytime · 14-day refund
- 3 agents + 1 team for delegation
- 3,000 runs a month for regular work
- 3 knowledge bases for retrieval grounding
- 5 MCP servers for integrations
- AI usage included — no separate model bill
- Email support, 1 business day response
- Audit log for every tool call
Resets and extra usage
- 750,000 tokens a day — resets at 00:00 UTC, unused do not roll over
- Extra usage at $0.21 in / $0.70 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
- Runs go to the front of the queue
- 4 runs at a time
- Your monthly allowance comes back on the 1st at 00:00 UTC
Pro
For team work
Coordinate a growing AI workforce.
$99/mo
- Tokens per month
- 100,000,000
- Included tokens per day
- 3,333,333
Cancel anytime · 14-day refund
- 20 agents, 5 teams, hierarchical delegation
- 15,000 runs a month — production volume
- 10 knowledge bases + workspace versioning
- 20 MCP servers + custom integrations
- Governance: rules, votes, vetoes, ambassadors
- Slack support + priority bug-fix lane
- Custom domain + branded share pages
Resets and extra usage
- 3,333,333 tokens a day — resets at 00:00 UTC, unused do not roll over
- Extra usage at $0.21 in / $0.70 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
- Runs go to the front of the queue
- 10 runs at a time
- Your monthly allowance comes back on the 1st at 00:00 UTC
Enterprise
Run operations across a larger organization.
$1,999/mo
- Tokens per month
- 2,000,000,000
- Included tokens per day
- No separate daily limit
Billed monthly · Bring-your-own-cloud option
- Fleet-scale: 200 agents, 40 teams, more on request
- Roles and per-company scoping, dedicated security review
- Dedicated VPC, custom egress allowlist
- Compliance: AI System Card, FRIA report, audit export
- Engineering Slack channel, named CSM
- Monthly service review with named contacts
Resets and extra usage
- Extra usage at $0.21 in / $0.70 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
- Runs go to the front of the queue
- 50 runs at a time
- Your monthly allowance comes back on the 1st at 00:00 UTC
What does this allowance cover?
Tokens measure the text a model reads and writes, including the context it uses. Longer tasks and repeated steps use more. A token allowance does not guarantee a fixed number of finished tasks.
Where a daily limit is listed, it applies alongside the monthly allowance. Unused daily tokens do not carry over, so the full monthly amount cannot be spent in one day.
Compare what is included
Limits apply together. A run is a task execution; its token usage depends on the model, the context and the work it does.
Scroll sideways to compare all plans.
| Included work | Free | Starter | Pro | Enterprise |
|---|---|---|---|---|
| Tokens per month | 2,700,000 | 22,500,000 | 100,000,000 | 2,000,000,000 |
| Included tokens per day | 90,000 | 750,000 | 3,333,333 | No separate daily limit |
| Runs per month | 300 | 3,000 | 15,000 | 200,000 |
| Runs at the same time | 2 | 4 | 10 | 50 |
| Agents | 2 | 3 | 20 | 200 |
| Teams | 1 | 1 | 5 | 40 |
| Images per month | 100 | 50 | 500 | 5,000 |
Snaga features in every plan · Different usage limits · Cancel anytime
The Next Generation of Companies Will Be AI-First.
Start building yours with Snaga. Create your AI teams, define your operations, and turn business goals into coordinated execution.