Siesta AI
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Build the operating layer where humans and AI work as one.
We believe the breakthrough of LLMs is one of the most consequential shifts of our time — and that the organizations of the future will be the ones who weave humans and intelligent agents into a single, coherent way of working.
Three convictions that shape everything we build
Our mission starts from a clear worldview about where AI is going — and where humans must remain.
LLMs are a civilizational shift
The breakthrough of large language models is not a feature update — it's a structural change that will reshape society, individuals, businesses and governments alike.
AI is an enabler, not an oracle
When guided well, AI unlocks extraordinary value. But the guidance — the judgment, the intent, the responsibility — must remain with humans.
The future is human + AI, together
The organizations that win will add an intelligent layer where people and agents collaborate side by side, leveraging each other's strengths to the maximum.
AI proposes. Humans decide. Agents execute.
The future of work is not a chat window. It's a continuous flow where AI surfaces tasks from research, signals and triggers — and humans review, triage and delegate. You stop typing prompts and start running an organization that quietly does its work in the background.
You separate the meaningful from the noise. You batch decisions. You run ten things in parallel. You stay in control — without becoming the bottleneck.
From prompts to a queue of meaningful work
Chat is the wrong primitive for an organization. Tasks are.
Sense
Agents continuously watch signals, data and triggers across your stack.
Propose
AI proposes tasks — drafted, contextualized, ready for review.
Review
Humans decide what matters, what is slop, and what to delegate.
Execute
Agents run the work in parallel across your tools and data.
Approve
Humans review the output, approve, and ship with confidence.
You can't build the future of work on disconnected tools.
An organization that wants to operate with AI needs every essential capability in one place — interconnected, governed, and shared across teams. Not five vendors, five logins, and five sources of truth.
Recordings
Capture voice in seconds to streamline what you need, when you need it.
Workflows
Build automations triggered by time, events, or any other signal.
Agents
Configure specialized agents and orchestrate multi-agent systems with sub-agents.
Memory
Persistent, shared knowledge accessible to humans and AI alike.
Tasks
AI proposes, humans triage, agents execute. Review and ship in batches.
Tools & connections
Connect every business app and tool — and let agents perform real actions inside them.
Data
Connect data silos, vectorize content, and let humans and agents search it all.
Chat
A natural conversational layer for humans to interact with the entire system.
Control & security
Approvals, governance, audit and stability for every action an agent takes.
Interconnected by design — and by necessity
Memory feeds tasks. Tasks invoke skills. Skills act through tools. Workflows trigger agents. Everything observed, governed and approved. That's why our platform can't be smaller than this — and why we're building it.
Power without control is a liability.
Real organizations need stability, security, and approvals at every step. They need the ability to compose multi-agent systems, sub-agents, and complex orchestrations — and still know exactly what happened, who approved it, and why.
That's not a feature for us. It's a precondition.
Approvals
Human-in-the-loop sign-off on every sensitive action.
Auditability
Full trace of what ran, when, why, and on whose behalf.
Private cloud hosting
Deploy in your own VPC or private cloud — your data never leaves.
Model agnostic
Bring any LLM. Switch providers without rewriting your stack.
We're building the platform an organization of the future actually needs.
Memory, skills, tasks, workflows, agents, data, tools, chat, control — together, in one place, shared between teams. Smaller than that, and the promise of AI breaks. That's why Siesta exists.