Cubeo
Cubeo, an intelligent tool focused on AI programming
Tags:AI programming toolsA one-sentence summary
Cubeo AI is a code-free AI assistant platform designed for businesses and individual teams; it can convert documents, websites, YouTube content, as well as audio and video materials into knowledge bases, and it enables the connection of various tools, triggers, and other intelligent agents to this assistant.
Tool Introduction
Cubeo is operated by the Romanian company Cubeo Innovation SRL; its products have evolved from website chatbots to platforms for creating AI Assistants, AI Agents, and AI Teams. Users do not need to deploy models or vector databases on their own.
The platform uses a subscription-based pricing model along with Credits; there are no fixed limits on the number of team members or training channels. However, model calls, ongoing training, audio and video processing, and the use of various tools all result in the consumption of Credits.
Main functions
Code-free AI assistant
Users can set goals, instructions, models, knowledge materials, and response methods for the assistant, and then provide services through a chat interface or website components. It is suitable for customer service, research, content creation, sales, and internal knowledge-related tasks.
Multi-format knowledge training
The platform supports PDF, Docx files, websites, blogs, YouTube links, as well as video and audio files. The system breaks the content down into chunks and creates a search database; when answering questions, it can provide links to the relevant materials.
Document and video positioning
Users can preview channels on the platform or on public sharing pages; documents can be taken to the relevant pages, and videos can be taken to the corresponding time points. Automatic positioning helps with verification, but it is still necessary to check the context of the original text.
Tools and external APIs
Each assistant can be connected to search tools, web crawlers, company research services, lead discovery systems, CRM platforms, or other external tools. Users can also use a no-code interface to connect their own APIs, thereby integrating the generated responses with actual business operations.
AI Agent Triggers
Triggers can send personalized messages and initiate processes based on the behavior of website visitors or specific business events. The conditions under which these triggers are activated should avoid causing excessive disturbance, and they must comply with regulations regarding consent, marketing, and privacy.
AI Teams
Multiple specialized assistants can form an AI Team, with different members responsible for research, writing, analysis, or operating the tools. This division of tasks helps to handle complex assignments, but it is necessary to determine clearly who is in charge of making final decisions and carrying out high-risk operations.
Website embedding and public sharing
All plans allow the inclusion of an unlimited number of websites and the creation of links for public sharing. The free version retains the “Powered by Cubeo” identifier, while the paid version enables the removal of this branding.
Multi-model selection
The official pricing FAQ lists the model series from OpenAI, Anthropic, Azure, Google, and Cohere; paid options are available under Premium Models. The models and their pricing rates may change, so it is necessary to refer to the options available at the time of creating an assistant.
Comparison of training channels
| Channels | Handling method | Appropriate content | Precautions |
|---|---|---|---|
| PDF and Docx | Parsing, chunking, and vector retrieval | Manuals, policies, reports, and FAQs | Scans and complex forms need to be checked. |
| Websites and blogs | Capture page text | Help center and public information | Dynamic pages, login page, and update frequency |
| YouTube | Extract audio and video content and associate them by time. | Tutorials, interviews, and courses | Subtitle accuracy and content licensing |
| Video and audio files | Transcription, chunking, and indexing | Meetings, training, and podcasts | Credits consumed per minute |
| Custom Q&A | Manually provide questions and answers | Key rules and standard responses | After any changes, maintenance should be carried out promptly. |
| External APIs and tools | Real-time invocation | Inventory, CRM, leads, and business actions | Permissions, fees, and error handling |
Standard creation process
- First, define the user of the assistant, its tasks, the questions it cannot answer, and the process for human intervention.
- Register a team and create an AI Assistant for a specific purpose.
- Select a model and specify the role, tone, channel requirements, and output format.
- Upload authorized documents, websites, or audio/video files and wait for the chunking to be completed.
- Only tools that have passed security audits and proprietary APIs are connected.
- Testing is carried out using issues such as correct usage, errors, ambiguity, privilege escalation, and prompt injection.
- After verifying the channels, Credits, and conversation logs, embed it on the website or add it to the AI Team.
Create a knowledge base for customer service tutorials
- Update the latest versions of product details, prices, policies, contact information, and frequently asked questions.
- Divide them into multiple specialized assistants based on business areas, to prevent conflicting rules from existing within the same knowledge base.
- Upload documents and websites, and check whether the automatically generated Chunks are complete.
- When insufficient information is available, stop making guesses and guide the user to contact live customer service.
- First, invite internal staff to conduct testing on the public sharing page, and then install the website components.
- Establish a process for updating weekly or monthly, and remove outdated content.
- Adjust the knowledge base based on actual conversations, rather than merely changing the model’s temperature or tone.
Tutorial on Building an AI Team
- Break down the overall business objectives into roles of research, judgment, creation, execution, and review.
- Assign each assistant independent knowledge, models, and the minimum necessary tools.
- Specify the format for task transmission to prevent different assistants from generating identical content repeatedly.
- The settings are compiled by the assistant of the person in charge, but final approval is given by a human.
- First, use low-risk tasks to test tool calls, Credits, and failure recovery.
- Active triggering or writing to external systems is enabled only after stability has been verified.
Which users are it suitable for
- Small and medium-sized enterprises: Set up a website customer service system, internal Q&A tools, and assistants for lead analysis.
- Marketing and Content Team: A combination of AI teams for research, writing, and review.
- Sales team: Links the company’s research efforts, lead sources, and CRM tools to help prepare customer information.
- Education and training institutions: Provide location-based Q&A based on course documents and videos.
- Human Resources team: Organizes processes related to onboarding, training, job roles, and internal policies.
- Developers and automation consultants: Connect their own APIs to no-code agents.
Typical use cases
- Website visitors use the product information lookup feature to find out about prices and service procedures.
- Employees look for evidence-based answers in the systems, manuals, and training videos.
- The research assistant collects public information and passes the results on to the writing assistant.
- The sales agent retrieves customer information from the authorized system and generates a summary.
- Website behavior triggers personalized suggestions, but consent is obtained before any data is collected.
- Make a specialized knowledge assistant available publicly, to be used as a resource for courses or for customers to access information on their own.
Prices and packages
As of August 2026, Cubeo offers the Free, Starter, Plus, and Premium plans. The annual subscription is charged at a rate equivalent to 10 months’ worth, with 2 months free; subscription Credits are delivered on a monthly basis and remain valid indefinitely.
| Package | Monthly payment | Monthly price equivalent to annual payment | Monthly Credits | Number of assistants | Dialogue retained |
|---|---|---|---|---|---|
| Free | 0 euros | 0 euros | 100 | 3 | 7 days |
| Starter | 17 euros | 14.17 euros | 1,200 | No restrictions | 30 days |
| Plus | 47 euros | 39.16 euros | 3,500 | No restrictions | 60 days |
| Premium | 97 euros | 80.83 euros | 8,000 | No restrictions | 90 days |
All three paid plans offer unlimited team members, website integration, training resources, tools, and AI Teams; they also provide access to Premium Models and the ability to remove branding. The final tax amounts and settlement fees are as specified on the purchase page.
Differences between the free version and the paid version
| Ability | Free | Starter and above |
|---|---|---|
| AI Assistant | Up to 3 | No restrictions |
| Team members | No restrictions | No restrictions |
| Embed in website | No restrictions | No restrictions |
| Training channels | No limit on quantity | No limit on quantity |
| Each Agent tool | 1 | No restrictions |
| Premium model | Not included | Includes |
| Cubeo brand | Retain | Removable |
| Dialogue retained | 7 days | 30 to 90 days |
| Support | Email, Premium, or Enterprise tier |
How Credits are consumed
Credits are not only used for chatting. There are charges associated with the model’s input and output, monthly training of the knowledge base, audio and video processing, as well as the use of various tools; therefore, the fact that there are no limits on the number of assistants or channels does not mean that costs are not limited.
| Consumption type | Public reference rates | Billing features | Control recommendations |
|---|---|---|---|
| GPT-4o mini input | 6 Credits per 100,000 Tokens | Press to enter Token | Compress irrelevant context |
| GPT-4o mini output | 25 Credits per 100,000 Tokens | Press to output Token | Limit the length of answers |
| GPT-4o input | 80 Credits per 100,000 Tokens | Press to enter Token | Used only for tasks that require it. |
| GPT-4o output | 300 Credits per 100,000 Tokens | Press to output Token | Long outputs result in faster consumption. |
| Claude 3.5 Sonnet input | 100 Credits per 100,000 Tokens | Press to enter Token | Check the current model. |
| Claude 3.5 Sonnet output | 460 Credits per 100,000 Tokens | Press to output Token | Switch model by task |
| Video or audio training | 1 Credit per minute | Including YouTube | First, cut away the irrelevant parts. |
| Text knowledge training | 4 Credits per 100 Chunks per month | Ongoing indexing cost | Remove duplicate and expired data |
| Tool invocation | Separate rate per tool | Charges are applied only when it is actually used. | Check the calculator before execution |
In the examples on the official website, analyzing 5 LinkedIn profiles costs 5 Credits each, for a total of 25 Credits; scraping 8 web pages costs 2 Credits per page, for a total of 16 Credits. The fees and models may change, so it is necessary to refer to the real-time calculator.
Pay As You Go and Credits rules
- Subscriptions are suitable for teams with predictable monthly usage, as the price per credit is usually lower in such cases.
- Pay As You Go is suitable for occasional use, but the unit price is higher.
- The current page shows that the price for a one-time purchase is 54 euros; the exact number of Credits required will be indicated in the purchase box.
- Subscribed Credits are added to the account automatically on a monthly basis and do not expire.
- The knowledge base that is being trained incurs ongoing monthly chunk fees, even if the amount of data is unlimited.
- Charges are applied only when the tool is actually used; no fee is charged if it is configured but not utilized.
Data retention and privacy
- The controller specified in the website’s privacy policy is Cubeo Innovation SRL, located in Bucharest, Romania.
- The conversation history is retained for 7, 30, 60, or 90 days depending on the plan; the privacy policy specifies a maximum retention period of 90 days.
- Troubleshooting information and security logs are retained for a maximum of 30 days, while billing and transaction records are typically kept for 7 years as required by law.
- Account information is retained as long as the account remains valid, while other data is kept in accordance with the purposes for which it was processed and legal requirements.
- DPA states that customer data is stored in the EEA, and it cannot be accessed from outside the EEA without the customer’s prior written consent.
- In the event of a data breach, the provider commits to notifying the customers within 24 hours of becoming aware of it.
- As the data controller, the customer remains responsible for informing visitors, ensuring legal compliance, minimizing data collection, and handling requests for data deletion.
Safety and compliance
The official website claims to be certified under ISO 20000 and ISO 27001, which indicates the existence of systems for IT service management and information security. When making purchases, companies should request details such as the issuer of the certificates, their scope, validity period, and the services covered, rather than relying solely on marketing claims.
- Only grant the data and tools necessary to complete the task to each assistant and team member.
- Short-term keys, server-side proxies, and rate limiting are used when connecting to proprietary APIs.
- Manual approval is required for actions such as proactive messages, CRM updates, sending messages, and deletions.
- The tests revealed issues related to injection attacks, unauthorized queries, and data leakage across different assistants.
- Before sharing the link publicly, check to ensure that internal channels, personal profiles, and document previews are not exposed.
- Export, delete, or anonymize logs regularly based on the retention period of the conversations and business rules.
Product advantages
- The free version includes 3 assistants, 100 Credits, and unlimited team members, making it suitable for a complete experience.
- It supports various training sources such as text, web pages, YouTube, videos, and audio.
- It allows for previewing channels and locating specific pages in documents or time points in videos, facilitating manual verification.
- AI Teams, Tools, Triggers, and custom APIs enable knowledge-based Q&A to extend into business execution.
- Subscribed Credits are retained permanently, reducing waste caused by fluctuations in usage from month to month.
- All options support unlimited embedding on websites and public sharing of links.
Usage restrictions and precautions
- Regardless of the training channels used, a monthly fee is still charged on a per-Chunk basis; large-scale use requires a consistent budget.
- Models and tools consume Credits separately; complex multi-agent processes may be invoked repeatedly, leading to a rapid increase in costs.
- The list of available models includes some older versions; the actual models that can be used must be confirmed in the account.
- The AI’s determination of the channel cannot guarantee that the answer is correct; it is still necessary to consider the full context.
- The conversation history is retained for a maximum of 90 days and is not suitable as a permanent customer service record.
- External APIs and proactive triggers can affect real customer and business data; therefore, approval processes and rollback mechanisms should be implemented.
- The free version provides only 1 tool per agent and lacks Premium models; it is suitable for testing rather than for heavy-duty production use.
- In the event of any language conflicts, the Romanian version of the terms shall apply; customers based in other countries should review it carefully.
APIs, GitHub, and open source status
Cubeo allows assistants to connect to their own APIs; the official website also mentions the integration of agents through APIs. However, no complete and publicly available developer API references, official SDKs, or verifiable GitHub repositories have been found. The scope of integration is determined by the account interface and the relevant contract.
| Project | Current status | Explanation | Conclusion |
|---|---|---|---|
| Proprietary API tools | Support | Code-free connection to external services | It belongs to integrated functions. |
| Platform public API | Mentioned on the official website | Insufficient publicly available reference materials. | Confirm with the official party before use. |
| Webhook or Triggers | Supports automation | Run proactively based on events | Testing costs and permissions are required. |
| Official SDK | No findings were detected. | Unverifiable maintenance warehouse | Do not invent language support. |
| Official GitHub | No core warehouse was found. | Projects with the same name cannot be considered official. | The core products are not open source. |
| Platform source code | Commercial hosting | Use in accordance with the license. | It is not open-source software. |
Supported platforms
| Platform or entry point | Support status | Primary uses | Notes |
|---|---|---|---|
| Web management interface | Support | Create, train, test, and manage teams | Main entrance |
| Website Widget | Support | External customer service and knowledge Q&A | Can be embedded on any website. |
| Public Sharing Page | Support | Direct Sharing Assistant | Check the visibility range of the channel. |
| YouTube and audio-video | Supports training | Course and Media Knowledge Base | Credits are deducted per minute. |
| External business systems | Tools and proprietary APIs | CRM, research, and automation | Charging by tool |
| Native mobile apps | No findings were detected. | It can be accessed via a browser. | It should not be written as a separate app. |
Basic information
| Project | Content |
|---|---|
| Tool name | Cubeo AI |
| Development company | Cubeo Innovation SRL |
| Location | Bucharest, Romania |
| Tool type | Code-free AI assistants, knowledge bases, and agent teams |
| Price pattern | Free, monthly, annual, and Pay As You Go credits |
| Minimum payment amount | Starter costs 17 euros per month. |
| Free quota | 100 Credits, 3 assistants |
| Team members | All options are unrestricted. |
| Website embedding | All plans have no limit on the number of websites. |
| API | Connection to custom APIs is supported; documentation for public APIs is pending confirmation. |
| Is it open source? | No |
Recommendation score
It receives a rating of 4.3 out of 5 points. Cubeo offers a comprehensive free interface, a wide range of data sources, transparent rules for earning points, and the ability to scale from a single knowledge assistant to multi-agent tool workflows.
The main shortcomings are that the costs associated with complex processes can be difficult to predict, there is a lack of public development documentation, the frequency of updating the list of models needs to be determined, and tools with high levels of access must be managed by the company itself.
Frequently Asked Questions
Is Cubeo AI free?
There is a Free Forever plan: 100 Credits per month, up to 3 AI Assistants, unlimited team members, and no limit on the number of website integrations; no credit card is required.
How much is the starter?
The starter plan costs 17 euros per month; when paid annually, the cost amounts to 14.17 euros per month, and it includes 1,200 Credits per month. The annual payment is for a fixed period, and it is not necessary to pay 14.17 euros each month.
Do Credits expire?
Subscribed Credits are added to the account on a monthly basis and remain there permanently. Details regarding refunds, the status of Credits after cancellation, and the benefits associated with the Pay As You Go option should be confirmed before making the purchase.
Can YouTube videos be uploaded?
Yes, the system can be trained using YouTube links, and it is possible to jump to the relevant minutes within the response. Video training costs 1 Credit per minute.
Is Chinese supported?
The platform can utilize various general-purpose large models, and in theory it is capable of handling Chinese text; however, the official website does not disclose any specific quality metrics for Chinese content. Actual use should be tested with real documents.
How many websites can be embedded?
All current packages include unlimited website embedding. However, the actual number of concurrent operations, queries, and model usage is still limited by Credits.
Are APIs provided?
It is possible to use one’s own APIs as assistant tools, and the official website also mentions the integration of AI Agent APIs. Due to a lack of available resources for developers, the specific API endpoints and permissions for each platform need to be confirmed with the authorities.
Is Cubeo open source?
It is not open source; no verifiable official source code repository or open-source license has been found. API connections and website embedding do not imply that the platform’s source code is available to the public.
How long are conversations saved?
The free plan offers 7 days, the Starter plan provides 30 days, the Plus plan gives 60 days, and the Premium plan offers 90 days. The privacy policy also states that the maximum retention period for AI Assistant conversations is 90 days.
Is there a limit on the number of files that can be uploaded?
The official website states that there is no limit to the number of training channels, but text data generates monthly training costs based on the number of chunks, while audio and video data are charged per minute; therefore, usage is still subject to the Credits budget limit.
Summary
Cubeo AI combines multi-format RAG knowledge bases, website assistants, tools, proactive triggers, and AI Teams within a no-code platform, making it suitable for scaling from free prototypes to team automation.
Before going live, it is necessary to calculate the Credits for the model, knowledge base, and tools, and to use the minimum level of permissions when accessing external APIs. When dealing with personal data or actual business data, procedures for notification, retention, approval, and rollback in case of errors must be implemented.
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