Seamless Enterprise Deployment
Seamless Enterprise Deployment
Flexible by design. Scalable by default. Fully under your control.
SCROLL
Deployment Options
Deployment Options
Deployment Options
Our architecture supports cloud, on-premises, and (soon) edge deployment — giving you full flexibility based on your infrastructure, compliance, and control requirements.
Cloud-Based
Deploy and scale effortlessly on secure, managed infrastructure — optimized for speed, efficiency, and accessibility.
Cloud-Based
Deploy and scale effortlessly on secure, managed infrastructure — optimized for speed, efficiency, and accessibility.
Cloud-Based
Deploy and scale effortlessly on secure, managed infrastructure — optimized for speed, efficiency, and accessibility.
On-Premises
Operate solely within your environment, ensuring complete control over data, models, and infrastructure.
On-Premises
Operate solely within your environment, ensuring complete control over data, models, and infrastructure.
On-Premises
Operate solely within your environment, ensuring complete control over data, models, and infrastructure.
Edge-Device (coming soon)
Bring intelligence directly to edge devices for real-time inference without relying on cloud connectivity.
Edge-Device (coming soon)
Bring intelligence directly to edge devices for real-time inference without relying on cloud connectivity.
Edge-Device (coming soon)
Bring intelligence directly to edge devices for real-time inference without relying on cloud connectivity.
Plug-in
Plug-in
Plug-in
Plug in your data and systems — fast and frictionless
Plug in your data and systems — fast and frictionless
Implementation
Define requirements and constraints
Describe API and UI / UX
Train the model
Integration
Connect the model to the data sources
Connect the model with the UI
Set RAG and any other rules/logic constraints
Training Process
(after the use case is approved)
1
Identify and acquire the right dataset for the use case
1
Identify and acquire the right dataset for the use case
1
Identify and acquire the right dataset for the use case
2
Data discovery & preprocessing (as needed)
2
Data discovery & preprocessing (as needed)
2
Data discovery & preprocessing (as needed)
3
Infrastructure setup
3
Infrastructure setup
3
Infrastructure setup
4
Training baseline models
4
Training baseline models
4
Training baseline models
5
Baseline model testing
5
Baseline model testing
5
Baseline model testing
6
Capture performance metrics
6
Capture performance metrics
6
Capture performance metrics
7
Optimization to generate the next version of models
7
Optimization to generate the next version of models
7
Optimization to generate the next version of models
8
Benchmarking
8
Benchmarking
8
Benchmarking
9
Final models
9
Final models
9
Final models
10
Evaluation, user training, documentation, and delivery
10
Evaluation, user training, documentation, and delivery
10
Evaluation, user training, documentation, and delivery
Subscribe to get our latest content by email.
We won't send you spam.
Unsubscribe at any time.
Subscribe to get our latest content by email. We won't send you spam. Unsubscribe at any time.
Copyright © 2025. Symbolic Mind®. All rights reserved
Copyright © 2025. Symbolic Mind®. All rights reserved