A model that learns continually, operates privately,

protects your IP, and delivers measurable ROI from day one

A model that learns continually, operates privately,

protects your IP, and delivers measurable ROI from day one

SCROLL

Solution & Benefits

Solution & Benefits

Private AI models trained on your domain

and corporate data

Private AI models

trained on your domain

and corporate data

Resource-efficient

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).

  • 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.

  • 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.

  • 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.

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

  • Transparency and explainability of the reasoning process.

  • Alignment with corporate governance and external regulation.

Technology

Technology

Adaptable, Hierarchical Neuro-Symbolic AI

Adaptable, Hierarchical

Neuro-Symbolic AI

Efficient Intelligence, Inspired by the Brain

Efficient Intelligence, Inspired by the Brain

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Works efficiently with limited resources — more like the brain, unlike traditional LLMs.

Dramatically reduces training and inference costs

Dramatically reduces training and inference costs

A language model with training and inference costs 100X+ lower than Transformers.

A language model with training and inference costs 100X+ lower than Transformers.

A language model with training and inference costs 100X+ lower than Transformers.

Continual Learning, Without Retraining

Continual Learning, Without Retraining

Supports continual learning through targeted updates.

Supports continual learning through targeted updates.

Supports continual learning through targeted updates.

Enables traceable reasoning

Enables traceable reasoning

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Designed to enable traceable reasoning, making AI decisions more understandable, controllable, and reliable.

Unlocks innovative business models

Unlocks innovative business models

Turn AI innovation into a business advantage.

Turn AI innovation into a business advantage.

Turn AI innovation into a business advantage.

Ensures IP protection and ownership

Ensures IP protection and ownership

Your data stays with you. Your IP grows. Full control, no compromises.

Your data stays with you. Your IP grows. Full control, no compromises.

Your data stays with you. Your IP grows. Full control, no compromises.

Deep Control

Evolving AI Intelligently

AI must evolve beyond brute-force computation and embrace efficient, structured intelligence. Symbolic Mind introduces Deep Control, a neuro-symbolic AI architecture.

AI must evolve beyond brute-force computation and embrace efficient, structured intelligence. Symbolic Mind introduces Deep Control, a neuro-symbolic AI architecture.

  • Hierarchical Symbolic Reasoning.


    Enabling long-term planning and structured problem-solving.

  • Efficient Neural Processing.


    Allowing intuitive pattern recognition without excessive computation.

  • Adaptive, Contextual Learning.


    Integrating new knowledge dynamically while retaining experience.

  • Hierarchical Symbolic Reasoning.


    Enabling long-term planning and structured problem-solving.

  • Efficient Neural Processing.


    Allowing intuitive pattern recognition without excessive computation.

  • Adaptive, Contextual Learning.


    Integrating new knowledge dynamically while retaining experience.

Plug-in

Plug-in

Implementation and Integration Processes

Implementation and Integration Processes

Implementation

Implementation

  1. Define requirements and constraints

  2. Describe API and UI / UX

  3. Train the model

  1. Define requirements and constraints

  2. Describe API and UI / UX

  3. Train the model

Integration

Integration

  1. Connect the model to the data sources

  2. Connect the model with the UI

  3. Set RAG and any other rules/logic constraints

  1. Connect the model to the data sources

  2. Connect the model with the UI

  3. Set RAG and any other rules/logic constraints

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