Frequently Asked Questions
Answers to the questions many of you may be asking.
Product FAQs
Common questions from customers about our product
Product FAQs
Common questions from customers about our product
Product FAQs
Common questions from customers about our product
What are Advisors?
Advisors are AI-driven conversational experts. They interact like human consultants — in meetings, one-on-ones, or through quick check-ins — delivering distilled insights instantly.
What are Advisors?
Advisors are AI-driven conversational experts. They interact like human consultants — in meetings, one-on-ones, or through quick check-ins — delivering distilled insights instantly.
What are Advisors?
Advisors are AI-driven conversational experts. They interact like human consultants — in meetings, one-on-ones, or through quick check-ins — delivering distilled insights instantly.
What is special about the Customer agent?
It keeps you and your team much more closely in touch with the “why” of what you are doing: serving a specific group of people or organizations. Clicking the Customer agent gives your customers a seat on the table. It means you - any team member - can consider their input, anytime, and without this being awkward.
What is special about the Customer agent?
It keeps you and your team much more closely in touch with the “why” of what you are doing: serving a specific group of people or organizations. Clicking the Customer agent gives your customers a seat on the table. It means you - any team member - can consider their input, anytime, and without this being awkward.
What is special about the Customer agent?
It keeps you and your team much more closely in touch with the “why” of what you are doing: serving a specific group of people or organizations. Clicking the Customer agent gives your customers a seat on the table. It means you - any team member - can consider their input, anytime, and without this being awkward.
What are Assistants and Ingestion Agents?
These work in the background: Ingestion Agents pull in relevant data streams from external data sources or through APIs. Assistants distill data, summarize it, and deliver it to specifically targeted recipients. Users consume data provided by Assistants, but primarily interact with Advisors conversationally.
What are Assistants and Ingestion Agents?
These work in the background: Ingestion Agents pull in relevant data streams from external data sources or through APIs. Assistants distill data, summarize it, and deliver it to specifically targeted recipients. Users consume data provided by Assistants, but primarily interact with Advisors conversationally.
What are Assistants and Ingestion Agents?
These work in the background: Ingestion Agents pull in relevant data streams from external data sources or through APIs. Assistants distill data, summarize it, and deliver it to specifically targeted recipients. Users consume data provided by Assistants, but primarily interact with Advisors conversationally.
How many insights do Advisors deliver?
Typically, thousands per month — distributed across reports, summaries, and ad-hoc interactions. These come from listening to conversations or even participating in them, listening to specified emails, processing voice memos, processing summary reports. For example, if 10 agents each day have 10 hours of interactions and process test of thousands or hundreds of thousands of words of input, findings add up.
How many insights do Advisors deliver?
Typically, thousands per month — distributed across reports, summaries, and ad-hoc interactions. These come from listening to conversations or even participating in them, listening to specified emails, processing voice memos, processing summary reports. For example, if 10 agents each day have 10 hours of interactions and process test of thousands or hundreds of thousands of words of input, findings add up.
How many insights do Advisors deliver?
Typically, thousands per month — distributed across reports, summaries, and ad-hoc interactions. These come from listening to conversations or even participating in them, listening to specified emails, processing voice memos, processing summary reports. For example, if 10 agents each day have 10 hours of interactions and process test of thousands or hundreds of thousands of words of input, findings add up.
What are these “insights” - newly found facts?
Insights are a combination of facts and events, opinions, issues raised, but also connections between seemingly unrelated or otherwise undetected factoids, statements, or events. The strength of probabilistic systems like LLMs is to be able to synthesize complex information and make it available if prompted effectively.
What are these “insights” - newly found facts?
Insights are a combination of facts and events, opinions, issues raised, but also connections between seemingly unrelated or otherwise undetected factoids, statements, or events. The strength of probabilistic systems like LLMs is to be able to synthesize complex information and make it available if prompted effectively.
What are these “insights” - newly found facts?
Insights are a combination of facts and events, opinions, issues raised, but also connections between seemingly unrelated or otherwise undetected factoids, statements, or events. The strength of probabilistic systems like LLMs is to be able to synthesize complex information and make it available if prompted effectively.
How do I interact with Advisors?
Talk, type, or click. Advisors join meetings, produce tailored reports, deliver summaries, and respond to direct requests. The transcripts of conversations turn into context, questions become prompts, and these are combined with other company-specific information, context, and prompts to give the most relevant responses.
How do I interact with Advisors?
Talk, type, or click. Advisors join meetings, produce tailored reports, deliver summaries, and respond to direct requests. The transcripts of conversations turn into context, questions become prompts, and these are combined with other company-specific information, context, and prompts to give the most relevant responses.
How do I interact with Advisors?
Talk, type, or click. Advisors join meetings, produce tailored reports, deliver summaries, and respond to direct requests. The transcripts of conversations turn into context, questions become prompts, and these are combined with other company-specific information, context, and prompts to give the most relevant responses.
Can Advisors participate in meetings - and what does that mean?
Yes. They can attend meetings or calls, just listening in or actively participating with real-time feedback. Then, they generate summaries, and provide sentiment analysis. The summaries become part of the context window that other conversations, in the same or other parts of the organization, may leverage to give highly relevant answers. All this can happen without having to write reports or formally update each other.
Can Advisors participate in meetings - and what does that mean?
Yes. They can attend meetings or calls, just listening in or actively participating with real-time feedback. Then, they generate summaries, and provide sentiment analysis. The summaries become part of the context window that other conversations, in the same or other parts of the organization, may leverage to give highly relevant answers. All this can happen without having to write reports or formally update each other.
Can Advisors participate in meetings - and what does that mean?
Yes. They can attend meetings or calls, just listening in or actively participating with real-time feedback. Then, they generate summaries, and provide sentiment analysis. The summaries become part of the context window that other conversations, in the same or other parts of the organization, may leverage to give highly relevant answers. All this can happen without having to write reports or formally update each other.
Is the use of agents limited to employees of an organization?
Not inherently. Part of our goal is for agents to be accessible to an organization’s customers and suppliers. Eventually, ever larger supply chain interactions can be automated.
Is the use of agents limited to employees of an organization?
Not inherently. Part of our goal is for agents to be accessible to an organization’s customers and suppliers. Eventually, ever larger supply chain interactions can be automated.
Is the use of agents limited to employees of an organization?
Not inherently. Part of our goal is for agents to be accessible to an organization’s customers and suppliers. Eventually, ever larger supply chain interactions can be automated.
What kind of Agents may be needed beyond those provided out of the box?
Automation agents that take on and replace specific tasks. Agents integrated with, and directing, robots and automated processes. Eventually, addressing specific tasks as wide-ranging. As accounting, treasury management, supply chain management, warehouse management, legal, and more. The common theme here is that these all are superior if they (1) run on a corporate neural net that understand the organization as well as, or better than, any person, (2) ideally operate off the same scalable platform.
What kind of Agents may be needed beyond those provided out of the box?
Automation agents that take on and replace specific tasks. Agents integrated with, and directing, robots and automated processes. Eventually, addressing specific tasks as wide-ranging. As accounting, treasury management, supply chain management, warehouse management, legal, and more. The common theme here is that these all are superior if they (1) run on a corporate neural net that understand the organization as well as, or better than, any person, (2) ideally operate off the same scalable platform.
What kind of Agents may be needed beyond those provided out of the box?
Automation agents that take on and replace specific tasks. Agents integrated with, and directing, robots and automated processes. Eventually, addressing specific tasks as wide-ranging. As accounting, treasury management, supply chain management, warehouse management, legal, and more. The common theme here is that these all are superior if they (1) run on a corporate neural net that understand the organization as well as, or better than, any person, (2) ideally operate off the same scalable platform.
Deployment FAQs
We don't "implement": we deploy, refine, and scale
Deployment FAQs
We don't "implement": we deploy, refine, and scale
Deployment FAQs
We don't "implement": we deploy, refine, and scale
How fast can we deploy?
Within 24 hours. The agents (Advisors and Assistants) are pre-packaged and ready to configure for your priorities.
How fast can we deploy?
Within 24 hours. The agents (Advisors and Assistants) are pre-packaged and ready to configure for your priorities.
How fast can we deploy?
Within 24 hours. The agents (Advisors and Assistants) are pre-packaged and ready to configure for your priorities.
How does “deployment” work?
Deployment involves the tailoring of the prepackaged agents to fit the specific needs of your organization. At a minimum, this means (1) the verbally describing of context about the business philosophy and culture, its products, customers, markets, competitors, supply chains, defining the customer, (2) the review and modification of prompts for agents, i.e., the setting of priorities, objectives, and specific goals, (3) setting up some technical parameters for AI models, email accounts, and data storage, and (4) setting up users.
How does “deployment” work?
Deployment involves the tailoring of the prepackaged agents to fit the specific needs of your organization. At a minimum, this means (1) the verbally describing of context about the business philosophy and culture, its products, customers, markets, competitors, supply chains, defining the customer, (2) the review and modification of prompts for agents, i.e., the setting of priorities, objectives, and specific goals, (3) setting up some technical parameters for AI models, email accounts, and data storage, and (4) setting up users.
How does “deployment” work?
Deployment involves the tailoring of the prepackaged agents to fit the specific needs of your organization. At a minimum, this means (1) the verbally describing of context about the business philosophy and culture, its products, customers, markets, competitors, supply chains, defining the customer, (2) the review and modification of prompts for agents, i.e., the setting of priorities, objectives, and specific goals, (3) setting up some technical parameters for AI models, email accounts, and data storage, and (4) setting up users.
Do I need an IT project to start?
No. Setup is rapid, cloud-based, and included in your plan. No infrastructure required. This is a business deployment, not a technical implementation.
Do I need an IT project to start?
No. Setup is rapid, cloud-based, and included in your plan. No infrastructure required. This is a business deployment, not a technical implementation.
Do I need an IT project to start?
No. Setup is rapid, cloud-based, and included in your plan. No infrastructure required. This is a business deployment, not a technical implementation.
Do you help with onboarding?
Yes. Each plan includes onboarding sessions and guided configuration to align agents with your context.
Do you help with onboarding?
Yes. Each plan includes onboarding sessions and guided configuration to align agents with your context.
Do you help with onboarding?
Yes. Each plan includes onboarding sessions and guided configuration to align agents with your context.
Can I change, refine, or improve setup fields after deployment?
Yes. Ideally, you incorporate your learnings out of interactions with agents and refine prompts or context. For example, priorities and focus areas may change. Most additional context, though, is likely going to be gathered automatically by the agents. For some agents, this fine-tuning can happen daily, while others may more rarely be changed.
Can I change, refine, or improve setup fields after deployment?
Yes. Ideally, you incorporate your learnings out of interactions with agents and refine prompts or context. For example, priorities and focus areas may change. Most additional context, though, is likely going to be gathered automatically by the agents. For some agents, this fine-tuning can happen daily, while others may more rarely be changed.
Can I change, refine, or improve setup fields after deployment?
Yes. Ideally, you incorporate your learnings out of interactions with agents and refine prompts or context. For example, priorities and focus areas may change. Most additional context, though, is likely going to be gathered automatically by the agents. For some agents, this fine-tuning can happen daily, while others may more rarely be changed.
Platform FAQs
The differentiator that makes us - and you - scale.
Platform FAQs
The differentiator that makes us - and you - scale.
Platform FAQs
The differentiator that makes us - and you - scale.
What is Cognion?
Cognion is our proprietary, modular, and patent-pending platform powering the agents. It integrates ingestion, distillation, and advisory layers into a unified corporate neural net.
What is Cognion?
Cognion is our proprietary, modular, and patent-pending platform powering the agents. It integrates ingestion, distillation, and advisory layers into a unified corporate neural net.
What is Cognion?
Cognion is our proprietary, modular, and patent-pending platform powering the agents. It integrates ingestion, distillation, and advisory layers into a unified corporate neural net.
Which AI models do you use?
Plans include access to multiple models. Professional supports up to 2 models, Executive and Elite support up to 3. Elite also offers quarterly fine-tuned, custom-trained cognitive twins for on-premises deployment. We use several of the large foundational large language models (LLMs), like ChatGPT, Supergrok, Gemini, and Claude, but can also offer and add smaller, open source, or custom models and small language models (SLMs).
Which AI models do you use?
Plans include access to multiple models. Professional supports up to 2 models, Executive and Elite support up to 3. Elite also offers quarterly fine-tuned, custom-trained cognitive twins for on-premises deployment. We use several of the large foundational large language models (LLMs), like ChatGPT, Supergrok, Gemini, and Claude, but can also offer and add smaller, open source, or custom models and small language models (SLMs).
Which AI models do you use?
Plans include access to multiple models. Professional supports up to 2 models, Executive and Elite support up to 3. Elite also offers quarterly fine-tuned, custom-trained cognitive twins for on-premises deployment. We use several of the large foundational large language models (LLMs), like ChatGPT, Supergrok, Gemini, and Claude, but can also offer and add smaller, open source, or custom models and small language models (SLMs).
Can I integrate my own data sources?
Yes. Advisors can ingest your internal reports, documents, and communications, alongside external feeds. Beyond the standard packages, Cognion is also capable to interact with devices and applications that have an API.
Can I integrate my own data sources?
Yes. Advisors can ingest your internal reports, documents, and communications, alongside external feeds. Beyond the standard packages, Cognion is also capable to interact with devices and applications that have an API.
Can I integrate my own data sources?
Yes. Advisors can ingest your internal reports, documents, and communications, alongside external feeds. Beyond the standard packages, Cognion is also capable to interact with devices and applications that have an API.
Do Advisors learn over time?
Yes. Feedback loops ensure Advisors get smarter and more relevant the more you use them. Our agents are self-improving. This happens through a smart (and improving) combination of data storage, prompting, and logic chaining.
Do Advisors learn over time?
Yes. Feedback loops ensure Advisors get smarter and more relevant the more you use them. Our agents are self-improving. This happens through a smart (and improving) combination of data storage, prompting, and logic chaining.
Do Advisors learn over time?
Yes. Feedback loops ensure Advisors get smarter and more relevant the more you use them. Our agents are self-improving. This happens through a smart (and improving) combination of data storage, prompting, and logic chaining.
Can Agents talk to each other?
In principle yes. Cognion is designed to enable direct agent-to-agent (A2A) interactions, which typically would happen by exchanging text-based prompts and responses.
Can Agents talk to each other?
In principle yes. Cognion is designed to enable direct agent-to-agent (A2A) interactions, which typically would happen by exchanging text-based prompts and responses.
Can Agents talk to each other?
In principle yes. Cognion is designed to enable direct agent-to-agent (A2A) interactions, which typically would happen by exchanging text-based prompts and responses.
Security FAQs
How we care about safeguarding your data.
Security FAQs
How we care about safeguarding your data.
Security FAQs
How we care about safeguarding your data.
What about data security?
Options for encryption, secure storage, and role-based access control (RBAC) are part of our Cognion platform and included by default.
What about data security?
Options for encryption, secure storage, and role-based access control (RBAC) are part of our Cognion platform and included by default.
What about data security?
Options for encryption, secure storage, and role-based access control (RBAC) are part of our Cognion platform and included by default.
Can I control who has access to which Advisors?
Yes. Plans include RBAC with 25–100 named users, depending on your tier.
Can I control who has access to which Advisors?
Yes. Plans include RBAC with 25–100 named users, depending on your tier.
Can I control who has access to which Advisors?
Yes. Plans include RBAC with 25–100 named users, depending on your tier.
How can I trust the security of external models?
You can pick another model, or even an internal one (consider: creation of such a model is not included for Executive and Elite programs). When interacting with external models, you are subject to their data protection policies. This is a major priority for foundational models. It is comparable to commonplace SaaS business practices. See also our roadmap below, where we point out the development of Small Language Models (SLMs) to enhance privacy and confidentiality.
How can I trust the security of external models?
You can pick another model, or even an internal one (consider: creation of such a model is not included for Executive and Elite programs). When interacting with external models, you are subject to their data protection policies. This is a major priority for foundational models. It is comparable to commonplace SaaS business practices. See also our roadmap below, where we point out the development of Small Language Models (SLMs) to enhance privacy and confidentiality.
How can I trust the security of external models?
You can pick another model, or even an internal one (consider: creation of such a model is not included for Executive and Elite programs). When interacting with external models, you are subject to their data protection policies. This is a major priority for foundational models. It is comparable to commonplace SaaS business practices. See also our roadmap below, where we point out the development of Small Language Models (SLMs) to enhance privacy and confidentiality.
Is my data used to train other organizations’ Advisors?
No, unless you explicitly request to do so, and only within a very narrow scope that is completely controlled by you. This would be when you deliberately give input as a supplier, customer, or partner, with the goal to improve the efficiency and quality of interactions. Your corporate neural net and cognitive twin are unique to your organization.
Is my data used to train other organizations’ Advisors?
No, unless you explicitly request to do so, and only within a very narrow scope that is completely controlled by you. This would be when you deliberately give input as a supplier, customer, or partner, with the goal to improve the efficiency and quality of interactions. Your corporate neural net and cognitive twin are unique to your organization.
Is my data used to train other organizations’ Advisors?
No, unless you explicitly request to do so, and only within a very narrow scope that is completely controlled by you. This would be when you deliberately give input as a supplier, customer, or partner, with the goal to improve the efficiency and quality of interactions. Your corporate neural net and cognitive twin are unique to your organization.
Pricing FAQs
These questions are asked by many of our users
Pricing FAQs
These questions are asked by many of our users
Pricing FAQs
These questions are asked by many of our users
Can I upgrade or downgrade my plan later?
Yes. You can upgrade or downgrade as your needs change.
Can I upgrade or downgrade my plan later?
Yes. You can upgrade or downgrade as your needs change.
Can I upgrade or downgrade my plan later?
Yes. You can upgrade or downgrade as your needs change.
What are the Early Adopter benefits?
Early adopters receive 25% lifetime discounts (Executive & Elite), priority onboarding, and roadmap influence.
What are the Early Adopter benefits?
Early adopters receive 25% lifetime discounts (Executive & Elite), priority onboarding, and roadmap influence.
What are the Early Adopter benefits?
Early adopters receive 25% lifetime discounts (Executive & Elite), priority onboarding, and roadmap influence.
Is there a minimum commitment?
Annual contracts are discounted. Monthly contracts are available but less cost-efficient. Cancellation is effective within typical payment cycles - one to three months.
Is there a minimum commitment?
Annual contracts are discounted. Monthly contracts are available but less cost-efficient. Cancellation is effective within typical payment cycles - one to three months.
Is there a minimum commitment?
Annual contracts are discounted. Monthly contracts are available but less cost-efficient. Cancellation is effective within typical payment cycles - one to three months.
What are the named user limits for?
Named users define an individual user’s ability to personalize agents behavior via agent instances, i.e. by tailoring prompts, contextual input, the output format, and recipients. This turns advisors into personal advisors. It also introduces security controls within an organization.
What are the named user limits for?
Named users define an individual user’s ability to personalize agents behavior via agent instances, i.e. by tailoring prompts, contextual input, the output format, and recipients. This turns advisors into personal advisors. It also introduces security controls within an organization.
What are the named user limits for?
Named users define an individual user’s ability to personalize agents behavior via agent instances, i.e. by tailoring prompts, contextual input, the output format, and recipients. This turns advisors into personal advisors. It also introduces security controls within an organization.
Future FAQs
Where we are going and taking you with us.
Future FAQs
Where we are going and taking you with us.
Future FAQs
Where we are going and taking you with us.
How will the platform evolve?
Early Adopters help shape our roadmap. Expect additional Advisors, new integrations, and cross-organization agent networks. We are also working on offering Small Language Models (SLMs) capable to perform transcription tasks on the edge, hosted or even on-premise.
How will the platform evolve?
Early Adopters help shape our roadmap. Expect additional Advisors, new integrations, and cross-organization agent networks. We are also working on offering Small Language Models (SLMs) capable to perform transcription tasks on the edge, hosted or even on-premise.
How will the platform evolve?
Early Adopters help shape our roadmap. Expect additional Advisors, new integrations, and cross-organization agent networks. We are also working on offering Small Language Models (SLMs) capable to perform transcription tasks on the edge, hosted or even on-premise.
Can customers and suppliers interact with my Advisors?
If you would like that to happen. Advisors can extend beyond organizational borders, enabling “customer seat at the table” and supplier sentiment tracking.
Can customers and suppliers interact with my Advisors?
If you would like that to happen. Advisors can extend beyond organizational borders, enabling “customer seat at the table” and supplier sentiment tracking.
Can customers and suppliers interact with my Advisors?
If you would like that to happen. Advisors can extend beyond organizational borders, enabling “customer seat at the table” and supplier sentiment tracking.
What role do you see for agent-to-agent (A2A) networks?
We see the semi-autonomous interaction along the supply chain and within partner and community networks as the future of agentic computing. It brings the wisdom of the masses (or rather: the wisdom of the experts) to everybody - while reducing the demand on attention.
What role do you see for agent-to-agent (A2A) networks?
We see the semi-autonomous interaction along the supply chain and within partner and community networks as the future of agentic computing. It brings the wisdom of the masses (or rather: the wisdom of the experts) to everybody - while reducing the demand on attention.
What role do you see for agent-to-agent (A2A) networks?
We see the semi-autonomous interaction along the supply chain and within partner and community networks as the future of agentic computing. It brings the wisdom of the masses (or rather: the wisdom of the experts) to everybody - while reducing the demand on attention.