Deploy Skald in your infra and have a private context layer for your AI agents and knowledge systems.
Save thousands of engineering hours
Skald saves you from having to create a new team just to manage RAG infrastructure. We do the dirty work and give you full customization.
Without Skald
- Poor answers with little visibility
- Manage four different services on average
- Start today and go live in months
- Scale infrastructure yourself
- Pay for another service just to evaluate configuration
- Update your code with every new LLM release
- Write your own libraries to connect to other services
- Require a dev for every new feature
- Changing configuration requires new deployments
The Skald context layer
The Skald context layer sits between your data sources and your AI applications, providing intelligent retrieval, memory, and knowledge management as a unified service.
01
Centralized Knowledge
Instead of each application managing its own RAG pipeline, the context layer provides a single source of truth for all your organizational knowledge.
Connect any LLM—OpenAI, Anthropic, open-source models, or your own. The context layer handles retrieval; you choose the generation.
03
Production Infrastructure
Embedding generation, vector storage, reranking, caching, and scaling handled for you. Focus on your application, not the plumbing.
Integrate in minutes
A single API call connects your applications to your entire context layer. Ship today with confidence it will grow with your organization.
01
Document Intelligence
Ingest any document format with automatic extraction of text, tables, and structural elements.
- PDF & Office formats
- Table extraction
- Automatic indexing
02
Source Attribution
Every response includes traceable references to original documents for complete auditability.
- Inline citations
- Page-level refs
- Audit trails
03
Model Flexibility
Choose your preferred foundation model or run inference entirely on your own infrastructure.
- Multi-provider support
- Self-hosted option
- No lock-in
04
Secure Deployment
Deploy in your cloud or on-premises with complete data sovereignty and compliance controls.
- VPC networking
- Privacy-first architecture
- Data residency
Enterprise-Grade Developer Experience
Fast to start, fast responses
Push context and get chat out-of-the-box so you can go live today. Then tune to your needs, experiment with different configs, and evaluate performance.
Production SDKs
Python, Node.js, PHP, Go, C#, and Ruby SDKs ready for production use with full type support and comprehensive documentation.
Full configurability
Fine-tune reranking, vector search, system prompts, and retrieval strategies to meet your specific requirements.
MCP Integration
Connect your agents to Skald using our official MCP server for seamless integration with AI assistants and development tools.
Persistent Memory
Unified context layer combining knowledge base, conversational memory, and institutional data for true organizational intelligence.
Evaluation Platform
Experiment with different configurations and evaluate performance from inside Skald with built-in metrics and analytics.
Deploy AI with confidence
See how leading enterprises are deploying secure, compliant context layers for their AI initiatives.