Smarter AI. Real-World Benefits.

Smarter AI. Real-World Benefits.

Weve reimagined AI to reduce costs, improve transparency, and unlock new business models.

Weve reimagined AI to reduce costs, improve transparency, and unlock new business models.

SCROLL

AI, controlled & owned by the enterprise

AI, controlled & owned by the enterprise

Private AI models for enterprises,

trained on your domain and corporate data.

Private AI models

trained on your domain

and corporate data

Resource-efficient

  • AI model training and inference costs are two orders of magnitude lower.

  • An ability to create and train models for each line of business separately.

  • Higher ROI of AI implementation due to lower cost (CAPEX and OPEX).

  • AI model training and inference costs are two orders of magnitude lower.

  • An ability to create and train models for each line of business separately.

  • Higher ROI of AI implementation due to lower cost (CAPEX and OPEX).

IP Protection and Building

  • No dependence on external LLMs.

  • Full control over data utilization. All operations and agents are behind the firewall.

  • Building internal intellectual property and knowledge domain representations.

  • Increasing the company's asset value. Reducing data-related risks.

  • No dependence on external LLMs.

  • Full control over data utilization. All operations and agents are behind the firewall.

  • Building internal intellectual property and knowledge domain representations.

  • Increasing the company's asset value. Reducing data-related risks.

Continuous Learning

  • Only a dynamic memory model. No catastrophic forgetting

  • Agile learning from new and changing data.

  • The most updated knowledge is available at any given moment.

  • Only a dynamic memory model. No catastrophic forgetting

  • Agile learning from new and changing data.

  • The most updated knowledge is available at any given moment.

Symbolic Reasoning

  • Long-term planning and reasoning for every action and decision.

  • Transparency and explainability of the reasoning process.

  • Alignment with corporate governance and external regulation.

  • Long-term planning and reasoning for every action and decision.

  • Transparency and explainability of the reasoning process.

  • Alignment with corporate governance and external regulation.

Resource-efficient

  • AI model training and inference costs are two orders of magnitude lower.

  • An ability to create and train models for each line of business separately.

  • Higher ROI of AI implementation due to lower cost (CAPEX and OPEX).

IP Protection and Building

  • No dependence on external LLMs.

  • Full control over data utilization. All operations and agents are behind the firewall.

  • Building internal intellectual property and knowledge domain representations.

  • Increasing the company's asset value. Reducing data-related risks.

Continuous Learning

  • Only a dynamic memory model. No catastrophic forgetting

  • Agile learning from new and changing data.

  • The most updated knowledge is available at any given moment.

Symbolic Reasoning

  • Long-term planning and reasoning for every action and decision.

  • Transparency and explainability of the reasoning process.

  • Alignment with corporate governance and external regulation.

Pricing

Choose Your Best Plan

Choose Your Best Plan

Enterprise

Pretrained License

Pretrained License

Pretrained License

Fine-tune our language-ready foundation model on your 

enterprise data.

Purpose:

Leverage our pre-trained foundation model with existing 

language capabilities, fine-tuned for your business.

Requirements:

Your structured and unstructured 

enterprise data for fine-tuning.


The client has full control of data

and models.

What’s Included:

  • Pre-trained AI model (LLM).

  • Fine-tuning with your domain-specific knowledge.

  • Full AI integration with your IT systems.

  • Full IP ownership of your resulting 

    model.

Standard

Core License

Core License

Core License

Train a private model from scratch 

using our base architecture.

Purpose:

Train your domain-specific model from the ground up using a base architecture.

Requirements:

Internal, domain-specific datasets are required from the client side.
No preloaded language understanding — full control and customization.


The client has full control of data

and models.

What’s Included:

  • Access to our foundational 

    architecture.

  • Private training pipeline.

  • Full IP ownership of your resulting 

    model.

FAQ

FAQ

Frequently Asked Questions

Frequently Asked Questions

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

Can I train models using my data?

Do I need GPUs to use your solution?

How customizable is the solution for my specific use case?

What makes your solution faster or more efficient than other AI systems?

How does your solution help reduce AI costs?

Is your system explainable and traceable?

How does your solution handle data privacy and IP ownership?

Copyright © 2025. Symbolic Mind®. All rights reserved

Copyright © 2025. Symbolic Mind®. All rights reserved

Copyright © 2025. Symbolic Mind®. All rights reserved