The AI Platform Trusted by Fortune 500
What is the AI Platform?
The 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.
Key Benefits of AI Platform
Security and Control Over AI
Cost Savings
Faster Time to Market
How the AI Platform Works?
1. Deploy AI systems within minutes
- 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
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
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 AI Platform 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-basebefore 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.
AI Platform in Action: Real-World Cases Studies
Why Choose us?
Our AI Platform frees you from building your own stack, allowing you to immediately start developing applications that produce the highest ROI
Without us
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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 us
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 AI platform?
The AI platform allows you to easily deploy AI systems and generative AI applications powered by LLMs and SLMs while securely connecting them to your private data and products.
How do you stand out from other AI companies?
Most AI companies provide just LLM models over APIs. This is not us. We make it quickly and easily integrate complete AI systems into your products via an OpenAI-like API.
How do you address pain points in gen AI application development?
Our AI platform provides everything developers need to build AI systems without prior AI or Kubernetes experience. This includes eliminating the hassle of developing and managing LLM model endpoints, deploying databases, and deploying storage volumes, allowing you to launch your first production-grade applications in days, not months.
What data sources can I integrate to my applications with the AI platform?
The AI platform supports most common file formats such as PDFs, HTML, plain text, and repositories. It also integrates with SQL databases and S3 storage through API connectivity. Additionally, you can add custom data sources using API code.
What are the use cases for the 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 you can run Kubernetes: on-prem, your existing virtual machines, bare-metal servers, public cloud, private cloud, or VPC.
Note: Developers don't need any prior Kubernetes experience, as we have removed its complexities. You won't even realize it's the underlying infrastructure.
How can I get started?
Book a demo and our team will show you how the platform works and discuss your use case.
