ConfidentialMind AI Platform

An AI platform for developers to deploy AI systems, such as RAG applications and agents, as well as LLM/SLM models securely and effortlessly

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ConfidentialMind Platform

Layer between enterprise data and products / applications to simplify and secure the deployments of LLMs, SLMs and AI systems.

Your Private Data

Bring the platform to any place where your data is, such as on-prem, private cloud, or VPC so you can process data securely.

Simple APIs

Connect AI systems and LLMs to your existing products and tools via simple-to-use APIs.

Cost savings

Developing your own generative AI software infrastructure is time-consuming and expensive. We solve this by giving you access to world-class generative AI software infrastructure as a service at really attractive prices.

Time to market

It takes 1-2 years to build a well-performing and secure AI platform for your internal use. With ConfidentialMind you can start building secure generative AI applications now, reducing time to market to weeks.

Security

You are in full control of the technology, what data the models have access to, and who can access applications. Also, the platform is hosted in your environment with open-source models, so there is no fear of data leakage.

How It Works?

1. Deploy AI systems

The platform makes it easy to deploy generative AI systems and models, such as:

RAG applications: Deploy any question-answering system that provides accurate answers based on documents, databases, or other data sources.
AI agents: Build intelligent systems that can take actions autonomously and achieve specific goals without human intervention.
Optimized LLM models: Use open-source language models optimized for speed and cost-efficiency to support the wider adoption of generative AI.

2. Connect your enterprise data effortlessly

Easily connect your enterprise data using data connectors without moving data away from your environment so you can keep your data secure.
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The platform supports common file formats such as PDFs, HTML, plain text, and repositories. Through API connectivity, it also integrates with SQL databases and S3 storage. Additionally, you can add custom data sources using API code.

3. Integrate via simple APIs

You can connect AI systems and LLM models via APIs to add generative AI features quickly to your products or build completely new solutions with a lot less work.
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APIs can also be used to offer separate functionality on the platform or to provide access to it for your other enterprise tools or applications. For example, configure API permissions tailored to your needs, such as:

LLM model API
Embedding API
Database API
Any custom API developed by you

Our Technology Stack Components

Manager

Admin backend for the developer portal and orchestrating deployments.

Handles creating pipeline-runs, authorization policies, user access roles, etc.
All writes to the master DB (both user and application writes) are handled by this service.

Realtime

Listen/notify implementation for the master DB.

The developer portal and deployed services subscribe to updates for the services they have access to.

Admin portal

Admin user interface for managing the stack.

Non-admin users see an "AppStore" like grid-view of the end-user applications they have access to.

CI/CD

Tekton core stack in the "tekton-pipelines" namespace.
Allows building and deploying services from source code or image registry. It is used for all of our internal services and images, and for deploying services from the manager.
If you make custom changes to pipelines or tasks, you have to run helm upgrade stack-base before changes take effect.
A separate helm chart is used to define the infrastructure needed for services deployed by the CI/CD.

Traffic management and authz

Istio provides a service mesh for internal and external traffic management, security, and observability.

For external communication, it's used for JWT token checks, mapping traffic to correct services, and handling TLS certs together with cert-manager.
For internal communication, Istio provides mutual TLS and service discovery inside the stack.
"Istio-system" namespace for Istio base resources deployment.
"istio-ingress" namespace for gateway deployment.
All namespaces with Istio-sidecar enabled will have Istio Envoy sidecar automatically deployed to enforce mTLS.

User management & authentication

Keycloak provides a full user management and authentication service.
It uses CNPG Postgre cluster as its database.
Initialized with realm-export.json to create correct realms and clients on install.

Databases

Stack uses CNPG operator that manages the deployment of Postgre clusters.
Both the master database and Keycloak database are deployed as part of the stack-base helm chart using the operator.
Capability to deploy separate Postgre clusters for applications with pg-vector and other extensions.

Cert Management

Allows automatic cert management using LetsEncrypt.

For this, the stack needs a public IP and correct DNS setup.

Providing certificates manually is also possible.

Why Choose ConfidentialMind?

ConfidentialMind Platform frees you from building your own stack, allowing you to immediately start developing applications that produce the highest ROI

Without ConfidentialMind

It takes years to build a sophisticated stack

Need an experienced AI infra team

Greater risk of implementation failures or delays

Difficult to ensure data security and compliance

Limited enterprise features

With ConfidentialMind

Reduce time to market to weeks

Develop with easy without being an AI-infra expert

Integrates easily with existing infrastructure

Enterprise-grade security and user access management

Real-time monitoring of workloads and resources

Frequently Asked Questions

What is the biggest benefits of ConfidentialMind?

The ConfidentialMind AI platform allows you to easily deploy AI systems and generative AI applications with LLMs and SLMs, while securely connecting them to your private data and products.

How does ConfidentialMind stand out from other enterprise AI platforms?

The platform enables you to quickly and easily integrate advanced AI capabilities into your products via an OpenAI-like API.

How does ConfidentialMind address pain points in gen AI application development?

Most AI companies provide just LLM models over APIs. This is not us. ConfidentialMind platform provides everything required to build AI systems and allows you to connect them to your products and applications using APIs. This includes eliminating the hassle of developing and managing LLM model endpoints, deploying databases, and deploying storage volumes, as well as everything else required to build AI systems. It provides all the tools developers need to build sophisticated AI-powered solutions quickly, allowing you to launch your first production-grade applications in days, not months.

What data sources can I integrate to my applications with ConfidentialMind?

The AI platform supports common file formats such as PDFs, HTML, plain text, and repositories. Through API connectivity, it also integrates with SQL databases and S3 storage. Additionally, you can add custom data sources using API code.

What are the use cases for ConfidentialMind AI platform?

Here are the things you can do with our AI platform:

Build stateful AI agents
Create internal semantic search tools
Create chatbots and AI assistants
Bring genAI capabilities to legacy applications running on-prem or elsewhere
Create internal genAI applications for your team and host them anywhere
Add AI backend for your existing digital experiences or applications
Modernize applications with AI features
And much more...

Where does it run?

You can deploy it anywhere where you can run Kubernetes: on-prem, your existing virtual machines, bare-metal servers, public cloud, private cloud or VPC.

Note: You don't need any prior Kubernetes experience, as we have completely removed its complexities. You won't even realize it's the underlying infrastructure.

How can I get started with ConfidentialMind?

Book a demo and our team will show you how the platform works and discuss your use case.