Optibotics.AI is complete private AI infrastructure. Language models, AI agents and your documents all run inside your company — not in the cloud. And you can see exactly what everyone did.
Operated by Emglare — 14+ years building enterprise software.
The moment employees start pasting internal documents into public AI tools, the company loses track of its own data.
Public cloud AI gives you a satisfying answer to none of these. Private infrastructure answers all of them.
This is not a "local ChatGPT". It is controlled AI infrastructure you can actually audit.
Language models, the vector database and your documents run on hardware inside your network. In Private mode, cloud models, external APIs and telemetry are blocked at the network level — not merely switched off in a settings panel.
An agent does more than read documents. It searches the ERP, compares two years of pricing, prepares the analysis and drafts the document. Unlike a chatbot, it can act — strictly within the limits you set.
By default an agent has access to nothing. Reading and analysis run on their own; sending an email or writing to the CRM needs human approval. Everything lands in the audit trail.
You are not buying a computer. You get a managed service — hardware, software, models, integrations, updates and monitoring.
The device joins your network. We set up disk encryption, the firewall, VPN and access rights. Installation usually takes a single day.
Microsoft 365, Google Workspace, file shares, ERP, CRM, document management or internal databases. Documents are indexed locally and never copied anywhere.
In the admin console you create an agent, give it a role and tick which data it may use and what it may do. Anything you do not tick, it cannot do.
Monitoring, signed updates, backups and support. We see the health of the device — never the contents of your documents or prompts.
You create agents the way you would add people to an org chart — with a name, a role and clearly bounded rights.
Optibotics Control is our own management layer. This is where you govern what each AI is allowed to do.
Every agent has its own list of data sources and permitted actions. A sales agent sees the CRM and price lists, but never payroll or accounting.
Reading and analysis happen automatically. Sending an email, changing a CRM record, raising an order or any financial operation waits for sign-off.
For every request you see the user, the agent, the model used, the files opened, the tools called and how many bytes went outside.
Private blocks all outbound model traffic. Hybrid lets an administrator explicitly allow a cloud model for data classified as public.
Remotely we see versions, load and backup status. Prompts, documents, email and index contents never reach us. That is a property of the architecture, not a promise in a contract.
Updates are signature-verified, staged in an isolated environment and health-checked. If the check fails, the system rolls itself back to the previous version.
Optibotics targets organisations between 50 and 500 employees that hold a lot of internal data and have a genuine reason to protect it.
You do not need to hire an AI team. We bring in the complete private AI infrastructure and run it for you.
Tightening rules are often the reason companies start looking for private AI in the first place. Optibotics is built so the evidence is ready when asked for.
Recent transposition of the NIS2 directive expanded the number of regulated organisations in the Czech Republic from a few hundred to several thousand. Supply chain security is part of those requirements — which reaches your AI vendor too.
The console evaluates a risk profile for each agent. When a task moves towards a sensitive area — automatically screening out job applicants, for example — the system requires human approval on its own.
Personal data never leaves your infrastructure. The audit trail shows who accessed it, when and why.
Every deployment ships with security documentation, a component inventory, vulnerability management and incident response procedures, an SLA and a data processing agreement.
Optibotics is a technology vendor, not a legal adviser. Whether your organisation falls under a particular regulation, and what that entails, is always for your company to assess — ideally with your legal counsel.
One monthly fee covers hardware, software, models, updates, monitoring and support. ERP and CRM integrations are quoted separately.
For smaller teams and first deployments
289 € per month
Onboarding 799 €
The core product for mid-sized companies
529 € per month
Onboarding 1,599 €
For demanding workloads and sensitive sectors
from 999 € per month
Onboarding from 3,990 €
All prices exclude VAT. Standard contract term is 36 months.
Not in Private mode. The language model, the vector database and your documents all run on a device inside your network, and outbound traffic is restricted to an allowlist. The admin console shows how many bytes left the device — in this mode it is zero.
Those tools process your data on the vendor’s infrastructure. Optibotics processes it on yours. On top of that you get per-agent permissions, human approval for sensitive actions, and an audit trail you can hand to an auditor.
Running a local model is the easy part. The hard part is everything else — permissions, agent isolation, document indexing, ERP integration, prompt injection defence, signed updates, backups, monitoring and audit records. That is precisely what we build and operate.
No, and we do not claim otherwise. Local models have real limits compared with the largest cloud models. We tune Optibotics for your company’s specific tasks over your own data, where the practical gap is small — and in exchange you keep control of the data.
We monitor its health and replace hardware if it fails. Configuration and the index are restored from backup. The Enterprise tier supports high availability across several nodes.
Yes. With the Enterprise tier we deploy Optibotics onto your existing infrastructure and charge for the software licence and support only.
Installing the device usually takes one day. Connecting data sources, indexing documents and configuring the first agents typically takes two to four weeks depending on how many integrations are involved.
No. Remotely we see the technical health of the device — versions, CPU and disk usage, backup results. Prompts, responses, documents and index contents never reach us. This follows from the architecture, not just from a contractual clause.
We will walk through your data sources, your security requirements and the tasks you would want agents to take over. That produces a concrete deployment proposal and a price.
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