Technology

From brute-force token prediction to efficient, structured reasoning

Energetically and Economically Efficient AI on CPUs based Servers

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The image featured at the bottom of the about us page
The image featured at the bottom of the about us page

Neuro-Symbolic AI

Symbolic Mind presents a new approach to AI that combines hierarchical symbolic reasoning and planning with the deep intuition of neural networks.

How We Differ from Transformer Architecture

01

Disciplined, structured reasoning

We implement structured, disciplined thinking. Instead of predicting the next token, we construct ordered thoughts coordinated across multiple time scales. The result is not selected from long, unguided chains of reasoning; it is constructed optimally. This yields more reliable and more efficient reasoning with fewer junk tokens.

02

Hierarchical symbolic intelligence for 100-1000× efficiency

The model implements hierarchical symbolic reasoning, which saves resources by 100-1000× (in petaflops and gigawatts). This is because, instead of matrix multiplications, it uses simple symbolic operations.

03

Continual learning with modular “AI LEGO”

Discrete hierarchical models can be cheaply fine-tuned and combined on the customer side (“AI LEGO”). Unlike neural networks, symbolic models do not forget old knowledge when learning new things.

The image featured at the top of the about us page #1
The image featured at the top of the about us page #1
The image featured at the top of the about us page #1
The image featured at the top of the about us page #2
The image featured at the top of the about us page #2
The image featured at the top of the about us page #2

Train and Run Across Multiple Servers

Symbolic Mind runs as a distributed AI platform across multiple servers, so you can scale capacity predictably while keeping operations, updates, and governance under control.

Control plane + execution nodes

A centralized control layer manages policies, versions, and rollouts, while execution nodes run workloads across your server fleet for scalable performance.

Predictable scaling

Add servers to increase capacity without destabilizing latency or operations.

Controlled rollouts

Versioned releases with staged deployment, canary testing, and fast rollback to keep production stable.

Separation of serving and updating

Inference runs continuously while updates are scheduled and gated, reducing risk and improving governance.

Resource-aware scheduling

Workloads are assigned explicit CPU and memory budgets to avoid contention and maintain consistent performance.

Operational visibility

Built-in metrics for health, performance, and version impact, so teams can operate and optimize confidently.

Our Solution

Our Solution

Our Solution

FAQ

Can I train models using my data?

Yes — our platform enables to train AI models on proprietary datasets across multiple lines of business, ensuring relevance and control.

Do I need GPUs to use your solution?

No. Our models are optimized to run efficiently on CPUs, but they also support GPUs if available, giving you flexibility without requiring expensive infrastructure.

How customizable is the solution?

Highly customizable. Our neuro-symbolic architecture allows precise tailoring of models to your workflows, without the complexity or expense of retraining from scratch.

How does your solution help reduce AI costs?

We minimize training and operational costs by eliminating the need for massive datasets, GPUs, and repeated fine-tuning cycles. The result: lower total cost of ownership.

Where can Symbolic Mind be deployed?

In your cloud environment, on-premises in your data center, or at the edge, depending on your latency, control, and governance requirements.

Can I train models using my data?

Yes — our platform enables to train AI models on proprietary datasets across multiple lines of business, ensuring relevance and control.

Do I need GPUs to use your solution?

No. Our models are optimized to run efficiently on CPUs, but they also support GPUs if available, giving you flexibility without requiring expensive infrastructure.

How customizable is the solution?

Highly customizable. Our neuro-symbolic architecture allows precise tailoring of models to your workflows, without the complexity or expense of retraining from scratch.

How does your solution help reduce AI costs?

We minimize training and operational costs by eliminating the need for massive datasets, GPUs, and repeated fine-tuning cycles. The result: lower total cost of ownership.

Where can Symbolic Mind be deployed?

In your cloud environment, on-premises in your data center, or at the edge, depending on your latency, control, and governance requirements.

Can I train models using my data?

Yes — our platform enables to train AI models on proprietary datasets across multiple lines of business, ensuring relevance and control.

Do I need GPUs to use your solution?

No. Our models are optimized to run efficiently on CPUs, but they also support GPUs if available, giving you flexibility without requiring expensive infrastructure.

How customizable is the solution?

Highly customizable. Our neuro-symbolic architecture allows precise tailoring of models to your workflows, without the complexity or expense of retraining from scratch.

How does your solution help reduce AI costs?

We minimize training and operational costs by eliminating the need for massive datasets, GPUs, and repeated fine-tuning cycles. The result: lower total cost of ownership.

Where can Symbolic Mind be deployed?

In your cloud environment, on-premises in your data center, or at the edge, depending on your latency, control, and governance requirements.

Ready to Deploy

Symbolic Mind delivers higher performance per watt through disciplined, structured reasoning. It is a CPU-friendly AI platform, built to improve continuously and scale predictably in production.

Schedule a Call

Schedule a Call

Schedule a Call