Put agents to work in complex environments
The limit of what AI can do in your enterprise is not the model. It's what the model knows about how your enterprise operates. That context is only captured one way: doing the work.
It starts with agents
HappyRobot helps enterprises put agents to work in complex environments
Agents are autonomous AI workers capable of communication and coordination
To put them to work means deploying at scale across core business functions
Complex environments are fragmented, operationally messy, exception-ridden enterprises
Agents need
a platform
Agents need
a platform
Agent behavior is evaluated
The platform starts with agents that are constantly evaluated against technical and behavioral benchmarks.
Agents collect & learn from context
Real-world experience builds context that is leveraged for insight and constant improvement.
Humans interact with agents
Custom interfaces fit to your ways of working surface insight and enable collaboration with your AI team.
Deployed in the
real world
Our focus is on deployments in complex enterprises. We’ve been battle-tested in high-stakes environments full of exceptions and real consequences when things go wrong. We've taken AI out of the lab and into the field.
Scaling globally across regions and business units
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Partnering to transform customer service
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Multi-agent system with custom control tower
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78% autonomous execution on critical work
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Achieving enterprise super intelligence requires a platform built to learn through execution and the deployment rigor to put it inside real workflows. At HappyRobot, both are both are built to compound - so every deployment makes the system smarter than the last.
Custom
Relevant solutions meet the enterprise where it is - which means fully custom, differentiated technology that’s built right on top of whatever systems you’re using today.
Complex
Complete solutions require depth - which means building for the messiness of reality, supporting the creation and capture of granular logic and capability across every workflow.
Multi-function
Enterprises have a breadth of knowledge and insight living across functions. When one agent learns & improves anywhere, all agents should learn & improve everywhere.