Private cloud / on-premise conversational AI platform

"COMPANY" license - single installation - UNLIMITED PROJECTS

The only chatbot platform that you really own!

This license is for end-users (businesses) and agencies. It includes:

  • single private cloud or on-premise installation
  • complete set of conversational AI features (see details below)
  • ÔÇťdone-for-youÔÇŁ installation at your server or in a private cloud
  • unlimited number of projects, bots, users, live chat agents, and team members
  • lifetime access to all platform updates and new features

This license DOES NOT include:

  • TypeScript platform code
  • developer documentation

Check the developer license if you want to add custom features to Activechat.

360┬░ Customer Service Automation Platform

A complete set of conversational AI tools

Everything you need to build And Run Your Next LLM Chatbot

Activechat is a universal tool that provides unified interface to develop and run modern conversational AI projects (chatbots, advisers, knowledge managers, and virtual assistants).

The platform can be run locally (on-premises), at your own server, or in a private cloud account. This approach guarantees lower latencies (especially with large language models), improved performance, and lower operational costs, when compared to traditional SaaS (“software-as-a-service”) chatbot software providers. 

Advanced mix of chatbot technologies

From simple button-controlled bots to NLP and generative AI or large language models, Activechat connects every bit of tech that a conversational designer may use.

No-code visual chatbot builder

Activechat's automation framework closely follows natural human conversation principles, allowing you to build any kind of interaction visually.

True Multichannel Conversations

Build once - use anywhere. Activechat has native integrations for WhatsApp, Telegram, Facebook Messenger, Twilio, and website chat widget.

Live Chat

Transfer conversations to your human team when automations fail. Activechat includes enterprise-grade live chat system with multiple queues and agent management.

Conversational AI

Easily utilize advanced conversational AI technologies like intent detection for NLP and knowledge management for large language models.

Generative AI with fine-tuned LLMs

Use our native integrations to connect custom or third-party large language models like ChatGPT by OpenAI or Jurassic by AI21, or run your own LLMs with Langchain integration.

Contact Center Analytics

Activechat includes a set of dashboards to monitor your contact center performance, and can export analytics data to other systems like Tableau.

Easily Integrates anywhere

Control and manage your projects, or connect any kind of third-party software or service with our JSON API.

On-premises conversational AI benefits

Knowledge Management System

Low operational costs

The cost of running an enterprise chatbot will depend on the volume of conversations and the amounts of data that you want to use. For some cases even free private cloud plans can be used.

Increased security

All your conversational data is stored within your organization's own servers, located within your controlled environment, or in your private cloud. This substantially reduces the risk of data exposure.

Improved performance

With an on-premises or private cloud solution, all data processing occurs within your organization's local network. This reduces the time it takes for data to travel to and from external cloud servers, leading to significantly lower latency.

Integrated Conversational AI suite


Own every bit of your data

Organize Your Knowledge

Extract the organizational knowledge from your business assets automatically, and securely share it across your team and customers

Automate The Monotonous

Create complex interaction scenarios with our visual scenario builder, and connect them to your existing platforms and backends.

Boost Your Team

Help your customer support team work smarter and faster with AI-generated hints, SOP automation, and detailed analytics

Get your "company" license now

single installation - UNLIMITED PROJECTS and users

Frequently Asked Questions

What is the difference between SaaS ("software-as-a-service") and on-premises or private cloud software?

SaaS (Software-as-a-Service) is hosted in the cloud and accessed via the internet, with a subscription-based payment model, while on-premise software is installed locally on an organization’s servers, or in a private cloud, often involving an upfront investment for software license and greater control over customization and updates.

In 2023, companies are increasingly turning towards on-premise and private cloud solutions for several reasons, particularly when dealing with conversational data and large language models. These solutions offer enhanced data privacy and security, crucial as data breaches become more sophisticated. On-premise and private cloud deployments grant organizations greater control over their sensitive conversational AI data, addressing concerns related to compliance and data ownership. Moreover, with the exponential growth of large language models, organizations seek to optimize performance and minimize latency, which on-premise installations can provide due to localized processing. This shift reflects a strategic move towards safeguarding data, ensuring compliance, and achieving optimal performance in the context of evolving technology landscapes.

How seamless is the transition from our existing SaaS solution to an on-premise or private cloud setup? What steps are involved in migrating our data and configurations?

If you already have projects running in Activechat cloud solution, the transition will be 100% seamless. Your data will be copied into your new platform during the setup process.

With other conversational AI platforms the process may get a bit more complex, involving custom data export and processing. We have successfully imported data from Intercom, Hubspot, Zendesk, Livechat, and other customer service tools. 

Contact us for more details.

How would adopting an on-premise solution impact the performance and latency of our conversational AI platform, especially when dealing with real-time interactions and responsiveness?

The latency will be reduced substantially, and you will notice an improved performance instantly.  Localized data processing reduces the time it takes for data to travel to and from external cloud servers, leading to significantly lower latency.

Why on-premise solution is better for running a customized and fine-tuned large language models (LLMs)?

An on-premise solution offers several advantages for running customized and fine-tuned large language models (LLMs):

  • Tailored Customization: The level of control over LLMs that on-premise solutions offer extends to adjusting algorithms, parameters, and fine-tuning models for domain-specific vocabulary and nuances.
  • Reduced Latency: Customized LLMs used for real-time applications benefit from reduced latency in on-premise environments, as data processing takes place locally.
  • Experimentation and Testing: Fine-tuning LLMs involves experimentation and iterative testing. On-premise solutions enable you to conduct these experiments in a controlled environment, facilitating rapid iterations without concerns about external factors.

  • Business Differentiation: Fine-tuned LLMs often serve as a competitive differentiator. With on-premise solutions, you can create and maintain proprietary models that set your business apart from competitors relying on generic cloud-based solutions.

Can you explain how an on-premises solution enhances data security for our conversational AI platform compared to our current SaaS setup?

Switching from a SaaS (Software-as-a-Service) setup to an on-premise solution for your conversational AI platform can significantly enhance data security in several ways:

  1. Local Data Storage: With an on-premise solution, all your conversational data is stored within your organization’s own servers, located within your controlled environment. This eliminates the need to transmit sensitive data to external cloud servers, reducing the risk of data exposure during transit.
  2. Reduced Attack Surface: On-premise installations often involve fewer points of entry for potential cyberattacks, as the data is not accessible via the public internet. This reduces the attack surface and minimizes the potential vulnerabilities that can be exploited by malicious actors.
  3. Physical Access Control: With on-premise solutions, you have direct control over who can access your data physically. You can implement strict access controls and security measures at the physical server locations, further safeguarding against unauthorized access.
  4. Customized Security Measures: On-premise setups allow you to implement security measures tailored to your organization’s specific needs. This can include encryption protocols, firewalls, intrusion detection systems, and other advanced security practices that align with your security policies.
  5. Regulatory Compliance: For industries with strict data regulations like healthcare, finance, and government, on-premise solutions offer better compliance control. You can design security practices that align with specific regulatory requirements, ensuring your conversational AI platform adheres to necessary data protection standards.
  6. Minimized Third-Party Involvement: SaaS solutions often rely on third-party providers for data storage and processing. Shifting to an on-premise solution reduces dependency on external providers, putting you in charge of all aspects of your data security.
  7. Isolated Environment: An on-premise solution operates within your organization’s local network, isolated from the broader internet. This isolation can mitigate the risks associated with external cyber threats and attacks targeting cloud-based systems.
  8. Immediate Response Control: In the event of a security incident, you have immediate control and the ability to respond without relying on a third-party provider to manage the situation.

By adopting an on-premise solution for your conversational AI platform, you can strengthen data security by exercising greater control over data storage, access, and security measures. This can lead to enhanced protection against data breaches, compliance violations, and other security risks that are inherent in cloud-based SaaS setups.

Could you provide a breakdown of the cost implications associated with switching to an on-premise solution for conversational AI platform?

It’s important to note that while upfront costs for on-premise solutions tend to be higher, long-term operational expenses will be lower than recurring subscription fees associated with SaaS solutions. Over time, the investment in your own infrastructure will pay off, particularly for organizations with significant data processing needs or those seeking to maintain control over data and customization.

┬ę 2023 - Activechat, Inc

Made with ÔŁĄ in Kyiv, Ukraine ­čç║­čçŽ

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Please choose a time slot that works best, and make sure you invite other team members who can be interested in automating your company’s customer service and knowledge management.  

Build Your Own ChatGPT*

ChatGPT by OpenAI is smashing the media headlines around the world. In just two months of its existence, this technology opened more use cases than blockchain in 13 years.

But did you know that you can easily build your own natural language chatbot with similar technology, trained and fine-tuned on your own knowledge data?

* ChatGPT is a trademark owned by OpenAI. Activechat is not affiliated with OpenAI and is not reselling the OpenAI technology

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