Most of the conversation around AI is happening among builders.
People using tools like Claude Code or agent builders are creating impressive things.
But zooming out, they represent a small fraction of the workforce.
The majority of non-technical teams still face the same two options: → Buy tools that don’t fully fit their needs → Or rely on developers for every new workflow
Eloo is built for the majority.
It allows go-to-market and operations teams to create their own AI workforce, without needing to think about code, APIs, or infrastructure.
Instead of building agents as a goal, users define business objectives:
"Monitor and improve pipeline", "Identify expansion or churn risks", "Automate operational workflows"... and so much more.
From there, Eloo:
Learns the business context and KPIs
Adapts to existing workflows
Launches AI teams that execute and continuously improve based on performance
Today, 100+ teams are using Eloo, and 500+ AI agents have already been created on the platform.
The barrier to execution is gone.
If you want to try Eloo: → You can get started for free at eloo.ai → Or book a free 1:1 agent-building session with me at contact@eloo.ai
Happy to help you build your first AI team.
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@davida_ginter1 Hi Davida, I find this interesting as I know and work with "the majority". How do you qa the first outputs to drive delight > disappointment and build in continuous improvement; Most people will try a tool and if it doesn't "hit the spot" then you've lost them.
@zolani_matebese great observation. We built a mechanism that improves the agent's output based on monitoring performance. The agents are connected to the users' goals and business context - so they can course-correct and self-improve.
Eloo
Hi everyone, Davida here, founder of Eloo.
We built Eloo around a simple observation:
Most of the conversation around AI is happening among builders.
People using tools like Claude Code or agent builders are creating impressive things.
But zooming out, they represent a small fraction of the workforce.
The majority of non-technical teams still face the same two options:
→ Buy tools that don’t fully fit their needs
→ Or rely on developers for every new workflow
Eloo is built for the majority.
It allows go-to-market and operations teams to create their own AI workforce, without needing to think about code, APIs, or infrastructure.
Instead of building agents as a goal, users define business objectives:
"Monitor and improve pipeline", "Identify expansion or churn risks", "Automate operational workflows"... and so much more.
From there, Eloo:
Learns the business context and KPIs
Adapts to existing workflows
Launches AI teams that execute and continuously improve based on performance
Today, 100+ teams are using Eloo, and 500+ AI agents have already been created on the platform.
The barrier to execution is gone.
If you want to try Eloo:
→ You can get started for free at eloo.ai
→ Or book a free 1:1 agent-building session with me at contact@eloo.ai
Happy to help you build your first AI team.
@davida_ginter1 Hi Davida, I find this interesting as I know and work with "the majority". How do you qa the first outputs to drive delight > disappointment and build in continuous improvement; Most people will try a tool and if it doesn't "hit the spot" then you've lost them.
Eloo
@zolani_matebese great observation. We built a mechanism that improves the agent's output based on monitoring performance. The agents are connected to the users' goals and business context - so they can course-correct and self-improve.
D-ID
Love it!! 😊 This is a tool that I’m definitely going to use!
Eloo
@tomer_zuker great! Love hearing this