Bring your agents.
Bring your agents.
We’ll give them a system. Most teams don’t fail at building agents.
They fail at running them together.
Agents get created everywhere—different tools, different teams, different rules.
Each one works in isolation. Nothing compounds.
Silia is where agents stop being experiments and start becoming an operation.
We’ll give them a system. Most teams don’t fail at building agents.
They fail at running them together.
Agents get created everywhere—different tools, different teams, different rules.
Each one works in isolation. Nothing compounds.
Silia is where agents stop being experiments and start becoming an operation.
We’ll give them a system. Most teams don’t fail at building agents.
They fail at running them together.
Agents get created everywhere—different tools, different teams, different rules.
Each one works in isolation. Nothing compounds.
Silia is where agents stop being experiments and start becoming an operation.
What Silia is
What Silia is
What Silia is
Silia is an orchestration system for agentic work.
A place where agents can be:
01
Created
Agents are designed with intent: clear purpose, defined scope, and the right capabilities from the start — not improvised after deployment.
02
Brought together
Independent agents can work as one system, sharing context and capabilities without being rebuilt or reconnected from scratch.
03
Governed
Rules, permissions, and boundaries are applied at the system level, so agents act consistently, safely, and within defined constraints.
04
Connected
All agents operate from the same operational context, linked to the same data, tools, and state — no isolated decisions.
05
Observed
Every action is traceable, measurable, and improvable over time, turning execution into learning instead of black boxes.
This is where intelligence stops fragmenting and starts compounding.
This is where intelligence stops fragmenting and starts compounding.
Why teams move here
Why teams move here
Why teams move here
When agents live in separate tools, three things happen
When agents live in separate tools, three things happen
When agents live in separate tools, three things happen
Knowledge stays with individuals, not the organization
Sales, support, ops, and QA agents working in sequence or in parallel.
Knowledge stays with individuals, not the organization
Sales, support, ops, and QA agents working in sequence or in parallel.
Knowledge stays with individuals, not the organization
Sales, support, ops, and QA agents working in sequence or in parallel.
Outputs disappear instead of becoming assets
Validations, conditional paths, routing, retries, and error handling.
Outputs disappear instead of becoming assets
Validations, conditional paths, routing, retries, and error handling.
Outputs disappear instead of becoming assets
Validations, conditional paths, routing, retries, and error handling.
Scaling creates risk instead of clarity
Agents operate with shared or independent data sources, rules and context depending on your design
Scaling creates risk instead of clarity
Agents operate with shared or independent data sources, rules and context depending on your design
Scaling creates risk instead of clarity
Agents operate with shared or independent data sources, rules and context depending on your design
Silia changes that by giving agents a shared environment. One system. Clear ownership.
Predictable execution.
Silia changes that by giving agents a shared environment. One system. Clear ownership.
Predictable execution.
Silia changes that by giving agents a shared environment.
One system. Clear ownership.
Predictable execution.
Benefits
What changes when agents share a system
Teams that centralize agents inside an orchestration layer typically unlock:
01
Faster scaling
Once agents live in one place, creating and expanding new use cases becomes incremental—not repetitive.
02
Lower operational risk
Access, actions, and data flows are defined intentionally, not assumed.
03
Compounding intelligence
Improvements made to one agent can inform others.
04
Institutional memory
Context, decisions, and outputs persist beyond individuals.
05
Clear governance
Who can talk to which agent, what it can access, and what it can execute—always visible.
This is the difference between having agents and running agentic operations.
This is the difference between having agents and running agentic operations.
Where fragmentation starts
Where fragmentation starts
Where fragmentation starts
Facts, not features
Facts, not features
Across enterprise teams today:
Across enterprise teams today:
Across enterprise teams today:
Silia was designed to solve these problems at the system level.
Silia was designed to solve these problems at the system level.
Not by adding more tools. By creating one place where intelligence can live.
Not by adding more tools. By creating one place where intelligence can live.
Most agents are rebuilt multiple times across teams
Most agents are rebuilt multiple times across teams
Most agents are rebuilt multiple times across teams
Agent outputs are rarely stored as organizational knowledge
Agent outputs are rarely stored as organizational knowledge
Agent outputs are rarely stored as organizational knowledge
Execution logic often lives inside prompts or individuals
Execution logic often lives inside prompts or individuals
Execution logic often lives inside prompts or individuals
Access rules are defined inconsistently
Access rules are defined inconsistently
Access rules are defined inconsistently
Scaling agents increases security surface area without added control
Scaling agents increases security surface area without added control
Scaling agents increases security surface area without added control
Built as a system
Built as a system
Built as a system
Create agents. Bring agents. Run all of them together.
Create agents. Bring agents. Run all of them together.
Silia is both: a platform to create new agents, guided by orchestration, governance, and access from day one and a system to bring existing agents built elsewhere and connect them into a shared operational layer.
Silia is both: a platform to create new agents, guided by orchestration, governance, and access from day one and a system to bring existing agents built elsewhere and connect them into a shared operational layer.
Scaling becomes additive, not chaotic
Scaling becomes additive, not chaotic
Scaling becomes additive, not chaotic
Governance becomes enforceable
Governance becomes enforceable
Governance becomes enforceable
Intelligence becomes reusable
Intelligence becomes reusable
Intelligence becomes reusable
This is how teams move from experimentation to production.
This is how teams move from experimentation to production.
This is how teams move from experimentation to production.
System-level outcomes
System-level outcomes
System-level outcomes
What this enables at scale
What this enables at scale
What this enables at scale
Industry benchmarks show that teams operating agents inside a unified orchestration layer can achieve:
30–50%
30–50%
Faster deployment of new agent use cases across teams and functions.
Faster deployment of new agent use cases across teams and functions.
↓ Duplication
↓ Duplication
Significant reduction in duplicated agent builds and parallel efforts.
Significant reduction in duplicated agent builds and parallel efforts.
Full traceability
Full traceability
Improved auditability and end-to-end visibility for AI-driven actions.
Lower cost at scale
Lower cost at scale
Decreasing operational cost per agent as the system grows and compounds.
Decreasing operational cost per agent as the system grows and compounds.
30–50%
Faster deployment of new agent use cases across teams and functions.
Full traceability
Improved auditability and end-to-end visibility for AI-driven actions.
↓ Duplication
Significant reduction in duplicated agent builds and parallel efforts.
Lower cost at scale
Decreasing operational cost per agent as the system grows and compounds.
Not because agents are smarter. Because the system is.
Not because agents are smarter. Because the system is.
Not because agents are smarter.
Because the system is.
FAQ.
FAQ.
Everything you need to know about deploying with Silia.
Everything you need to know about deploying Silia.
Yes. Silia includes guided agent creation, so agents are designed with orchestration, access control, and governance from the start.
No. Agents built in other tools can be connected into Silia without rewriting their logic.
You do. Access is defined at the system level: who can interact with an agent, what data it can see, and what actions it can execute.
No. Silia is agent-agnostic. Any agent that needs context, tools, execution, and traceability can live here.
Frameworks help you build agents. Silia helps you run them in production.
Yes. Silia includes guided agent creation, so agents are designed with orchestration, access control, and governance from the start.
No. Agents built in other tools can be connected into Silia without rewriting their logic.
You do. Access is defined at the system level: who can interact with an agent, what data it can see, and what actions it can execute.
No. Silia is agent-agnostic. Any agent that needs context, tools, execution, and traceability can live here.
Frameworks help you build agents. Silia helps you run them in production.
Yes. Silia includes guided agent creation, so agents are designed with orchestration, access control, and governance from the start.
No. Agents built in other tools can be connected into Silia without rewriting their logic.
You do. Access is defined at the system level: who can interact with an agent, what data it can see, and what actions it can execute.
No. Silia is agent-agnostic. Any agent that needs context, tools, execution, and traceability can live here.
Frameworks help you build agents. Silia helps you run them in production.
The shift.
Agents don’t fail because they lack intelligence.
They fail because they lack a system.
Bring your agents. Create new ones.
Run all of them together.
Built for complex stacks.
Orchestrates multi-system workflows with versioned flows, approvals, and full traceability.
Clear path to value.
Potential 5–10 day time-to-first automation, then expansion by module once impact is proven.
The shift.
Agents don’t fail because they lack intelligence.
They fail because they lack a system.
Bring your agents. Create new ones.
Run all of them together.
Built for complex stacks.
Orchestrates multi-system workflows with versioned flows, approvals, and full traceability.
Clear next steps.
Potential 5–10 day time-to-first automation, then expansion by module once impact is proven.
The shift.
Agents don’t fail because they lack intelligence.
They fail because they lack a system.
Bring your agents. Create new ones.
Run all of them together.
Built for complex stacks.
Orchestrates multi-system workflows with versioned flows, approvals, and full traceability.
Clear next steps.
Potential 5–10 day time-to-first automation, then expansion by module once impact is proven.