Siesta AI

Siesta AI is a business platform that connects company-data search and chat with action-taking agents and visual automation. It suits organizations with complex, data-heavy operations that need governed AI across teams and systems. The main decision is whether its broad scope and deployment choices justify the usage ceilings on Start and the substantial cost of Company.

Overview

Founded in 2020 and headquartered in Prague, Siesta AI is designed for context-heavy business-process execution. Its emphasis is operational: answers can draw on internal information, agents can perform approved actions, and workflows can turn repeatable processes into visual automations. The stated target sectors include manufacturing, finance, energy, and logistics, where permissions, connected systems, and process history matter more than a standalone chatbot.

Deployment is unusually flexible. Organizations can choose SaaS, managed cloud, or private cloud, while private or on-premise deployment is reserved for Enterprise. That makes the platform more plausible for infrastructure or data-residency requirements, but the most flexible arrangement requires custom commercial terms.

Key features

Chat, search, and agents

AI Chat works with company data, can execute actions in connected systems, and selects a model per task. Slack and Teams support puts those capabilities where many employees already work. AI Search reaches across documents, tools, and systems with semantic and graph search, permission-aware results, and sourced answers. This combination is well suited to finding authoritative internal context and then moving directly to a business action; it is less compelling for someone seeking only general-purpose conversational AI.

The agent platform includes shared memory, a skill library, sub-agents, isolated sandboxes, and approvals for sensitive actions. Those controls support multi-step work while keeping higher-risk operations reviewable. They also imply that teams should define skills and approval practices rather than expect unattended automation to be appropriate everywhere.

Visual workflows and integrations

A drag-and-drop workflow editor supports triggers, webhooks, conditions, branching, and run history. That gives process owners a way to model exceptions and inspect executions instead of relying solely on prompts. Siesta AI lists more than 40 knowledge bases and over 100 tools, alongside named Slack and Teams integrations, so its value increases when an organization can connect the systems where its work already resides.

Models, security, and assistance

All plans support GPT-4o, Claude 3, and Gemini 1.5; Enterprise customers can bring their own models. Siesta AI says it is ISO 27001 and CASA Tier 2 certified and compliant with GDPR and the EU AI Act. Its Trust Center describes zero-trust principles, least privilege, enforced account authentication, segmented production data, penetration testing, and encrypted transmission. Email support comes with Company, while Enterprise adds priority support with an SLA. AI transcription, summaries, and documentation output extend the platform beyond search and automation into meeting and process records.

Pricing

Start

Start costs nothing and includes all features with limited tokens, unlimited agents and users, a one-time 10M-token allowance, 100 MB of data ingestion, and up to 1,000 workflow executions. It is a useful zero-cost proof of concept, but the one-time token grant is not a durable allowance for sustained team usage, and the ingestion cap limits the amount of company context you can load.

Company

Company costs €500 a month, billed 500 € per month. It raises ingestion to 30 GB and allows up to 5,000 workflow executions, with pay-as-you-go billing after 50M tokens. Agents and users remain unlimited, and email support is included. This is the practical tier for a small or mid-sized organization ready to run real workloads, provided its process volume fits those quotas; the price is difficult to justify for occasional experimentation.

Enterprise

Enterprise uses custom pricing based on company size. It removes the published data and workflow ceilings with unlimited ingestion and workflows, permits customer-supplied tokens and models, keeps unlimited agents and users, and adds priority support with an SLA. It is the appropriate route for larger or regulated deployments, especially when private or on-premise hosting is required, but buyers need a tailored quote.

Platforms

Siesta AI supports Android, iOS, macOS, Windows, web, browser and desktop use, an extension, an API, and self-hosted deployment. That breadth covers employee-facing access, integrations, and infrastructure-controlled installations. Private or on-premise operation is specifically available on Enterprise.

Who it's for

Choose Siesta AI when multiple teams need permission-aware answers from internal systems, controlled agents that can act, and workflow automation in one platform. It is particularly aligned with operational organizations in manufacturing, finance, energy, and logistics. It is a poor fit when you need a lightweight personal assistant, a low-cost always-on plan, or primarily a screen-recording tool.

Pros and cons

• Pros: Combines grounded search, action-capable chat, agents, and visual workflows rather than isolating them.
• Pros: Permission-aware, sourced search and approval controls support governed enterprise use.
• Pros: SaaS, managed-cloud, private-cloud, and Enterprise on-premise options accommodate different deployment requirements.
• Pros: Broad integrations, APIs, self-hosting, and support for three major model families increase architectural flexibility.
• Cons: Start's one-time 10M tokens, 100 MB ingestion, and 1,000 executions make it a limited long-term free tier.
• Cons: Company begins at €500 a month and still caps ingestion and workflow runs, so smaller teams may pay for unused breadth.
• Cons: Enterprise capabilities and SLA support require custom pricing, complicating budget comparison.

Alternatives

For a dedicated recording and sharing directory, browse AI Screen Recorders. Pick Cap instead if fully open-source software under the AGPL license and self-hosting are priorities. Claap is the better choice for teams centered on desktop, extension, and audio recording with a paid Pro tier. Choose Guidde when creating up to 25 how-to videos with web capture and voiceover is the core job. Kommodo suits a small recording setup starting with 15 videos and one user. Loom is preferable for straightforward team screen recording with a free allowance of 25 videos and five-minute recordings. ScreenPal fits users wanting a free-forever plan with 15-minute recordings and hosted-video limits. ClipCast is a focused option for short clips, 200 MB storage, and 720p sharing. Doculigent is worth considering when fully open-source local recording and transcription matter more than enterprise agents and workflows.

Verdict

Siesta AI is a strong choice for organizations that need company-grounded answers, governed actions, and visual process automation across connected systems, especially when deployment control is important. Choose it for that integrated operational scope; look elsewhere if your needs are mainly recording, lightweight chat, or predictable low-cost usage, because the free tier is tightly capped and paid entry starts at €500 a month.