Our mission

Give every organization control of its intelligence.

AI is becoming the operating layer of every company. It should understand your context, work across any model, and remain fundamentally yours.

Your data
Your intelligence
Your rules

The world is shifting

All companies will run on AI.

That part is settled. AI is already changing how organizations understand information, make decisions and execute work. What is still open is how much of it stays yours: your context, your models, your workflows.

80%+

of enterprises will deploy industry-specific AI agents in support of critical business objectives by 2030.

Up from less than 10% today. Source: Gartner, AI-Enabling Cloud Services are the Future of Cloud, September 24, 2025

The problem

AI is being adopted the wrong way.

Most companies implement AI the way big tech wants it implemented: rented models, per-seat licences and your data on someone else's infrastructure. That is an excellent business model for the vendor, and a poor deal for you.

Model dependency

One vendor sets your limits, your roadmap and your price.

Data leakage

Company knowledge ends up in systems you do not control.

Inefficient execution

Every task hits an expensive model, even the simple ones.

Paying for access

Per-seat licences mean only part of your team ever gets AI.

Average results

Without company context, AI returns answers anyone could get.

Unclear strategy

Pilots everywhere and no decision on what AI should own.

Any model, any time

Local, cloud or frontier. Swap whenever a better one arrives.

Data that stays home

Your cloud or your own hardware, with full residency.

Right engine per task

Routine work runs local, hard reasoning goes to the best model.

Pricing without seats

No per-user fees and no markup on tokens. Onboard everyone.

Your company context

Documents, people, systems and decisions in one memory.

One operating layer

A single place to build on, instead of scattered tools.

The solution

Implement AI the right way.

We built the opposite: your context, your models, your infrastructure, and a price that does not grow with every user or every token. The platform follows your business model instead of protecting ours.

Three foundations

Sovereignty. Understanding. Efficiency.

Three principles behind everything we build, and the reason AI turns into lasting value instead of another tool nobody owns.

Sovereignty

You stay in control.

AI Sovereignty Choose your own models. Bring your own model, local or cloud.
Data Sovereignty Your data stays where you are. Full residency and compliance.
Application Sovereignty Connect and extend whatever you want. Open, flexible, no lock-in.
User Sovereignty Onboard anyone. Without limits, without per-seat fees.

Understanding

Turn data into intelligence.

Capture All Context Collect signals from every source across the company.
Structure & Understand Turn unstructured noise into structured knowledge.
Second Brain A living memory of your company that keeps evolving.
Right Context, Right Time The right information for the right situation, every time.

Efficiency

Do more with less.

Model Efficiency Local, cloud or frontier. Whatever the job needs, not what earns us more.
Compute Efficiency Long background jobs run on local models and your own hardware.
Workflow Efficiency Agents turn costly reasoning into cheap no-code steps.
Context Efficiency Data structured up front, so models read less and answer faster.

Why both matter

Different strengths, one team

Humans and AI are not competing. They excel at fundamentally different things. The magic happens when you put them together.

Human edge

Humans excel at

  • Judgment & ethics

    Making nuanced decisions that require context, empathy, and moral reasoning.

  • Creative thinking

    Generating original ideas, connecting unrelated concepts, and imagining what doesn't yet exist.

  • Relationship building

    Building trust, reading emotions, negotiating, and understanding complex social dynamics.

  • Strategic vision

    Setting direction, defining priorities, and making high-stakes bets on an uncertain future.

Machine edge

AI excels at

  • Processing speed

    Analyzing thousands of documents, records, and data points in seconds without fatigue.

  • Pattern recognition

    Detecting anomalies, trends, and correlations across massive datasets humans would miss.

  • Tireless execution

    Running tasks 24/7 in parallel across tools, systems, and time zones without errors.

  • Instant knowledge

    Accessing, synthesizing, and applying vast knowledge bases on demand in real time.

Human + AI

The future belongs to super-powered humans

Small teams. Giant output.

Every employee becomes a manager of AI workers. Every team operates with the output of ten. The organizations that win won't hire more people. They'll give their people more leverage.

We build the layer where humans lead and AI executes. You set the direction, review the work, approve the actions. The technology handles everything else.

Humans
Agents
Memory
Tasks
Skills
Approvals
Data
Chat
Recordings
Slack
Google Calendar
Gmail
SharePoint
Jira
Asana
HubSpot
Salesforce
Notion
Outlook
Teams

A new way of working

From prompts to a queue of meaningful work

The way we work is changing. Humans become supervisors and quality assurance. AI does the heavy lifting. Everyone becomes a manager.

STEP 01

Sense

AI

Agents continuously watch signals, data and triggers across your stack.

STEP 02

Propose

AI

AI proposes tasks, drafted, contextualized, ready for review.

STEP 03

Review

Human

Humans decide what matters, what is slop, and what to delegate.

STEP 04

Execute

AI

Agents run the work in parallel across your tools and data.

STEP 05

Approve

Human

Humans approve the most critical actions before agents execute them.

The new unit of work

Domain intelligence

An agent does a task and forgets it. A domain intelligence holds one part of your business: it knows the sources, keeps the context, and keeps producing work there. So you do not roll out one assistant. You build marketing intelligence, product intelligence, business intelligence, each of them permanent and each of them yours.

One platform, not many

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

Structured units of work you can review, delegate, and track. No more losing context in infinite chat threads.

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.

Control & trust

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.

ISO 27001 ISO 27001
GDPR GDPR
CASA Tier 2 CASA Tier 2
EU AI Act EU AI Act

Approvals

Human-in-the-loop sign-off on every sensitive action.

Auditability

Full trace of what ran, when, why, and on whose behalf.

Private deployment

Deploy in your own VPC or private cloud, so your data never leaves.

Model agnostic

Bring any LLM. Switch providers without rewriting your stack.

Why Siesta exists

We watched companies adopt AI through scattered tools, rising costs, and confusion. We believed there had to be a better operating model.

Built in Europe with privacy, control, and real business needs in mind. One platform. Not five vendors, five logins, and five sources of truth.