Now Available: Enterprise AI Infrastructure
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Enterprise AIInfrastructure That WorksTogether

One integrated platform for vector storage & search with intelligent multi-functional memory and unstructured data-processing- natively integrated and deployable on your cloud

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swarn
Vector Database
swarn
AI Memory
swarn
Unstructured ETL
sarthi_ai_demo.py
# Transform unstructured data with SarthiAI
from sarthi_ai import SkillMemory, swarndb, UnstructuredETL
memory = SkillMemory()
client = swarndb.swarndb_client()
db = client.use_database("default")()
etl = UnstructuredETL()
# Process documents into intelligent memory
result = memory.learn_from_document("enterprise_docs.pdf")
The AI Infrastructure Tax

Why building great AI products feel harder than it should be.

  • ✦ Teams spend 60% of time integrating separate AI tools instead of building features.

  • ✦ Network latency between vector databases and memory systems kills real-time performance.

  • ✦ Document processing pipelines break when custom data structures are needed.

  • ✦ Every new AI agent requires rebuilding the same infrastructure stack.

SarthiAI Product Suite

Built for AI Builders

Intelligent Vector Storage

  • High-performance vector database optimized for AI workloads
  • Custom indexing strategies for your specific use cases
  • Built for enterprise scale and reliability

Advanced Memory Management

  • Maintains context across sessions seamlessly
  • Replaces traditional RAG - agents learn from any document or data source
  • Define exactly what and how your AI remembers
  • Capture data exactly as your business needs it

Smart Data Transformation

  • Convert any unstructured data (PDFs, docs, etc.) into structured formats
  • User-defined output schemas - get data exactly how you need it
  • No more manual data prep or cleaning pipelines
“Native integration means zero network calls between components — everything happens in real-time within your infrastructure.”
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Enterprise Ready

Designed forScalable Enterprise AI

Built to meet the flexibility, modularity, and robustness required by modern AI-first teams and enterprise environments.

Deployment Flexibility

Deploy on your choice of cloud or on-premise for full flexibility.

LLM Agnostic

Bring your own LLM provider and switch anytime without reconfiguring infrastructure. Stay future-proof.

Kubernetes Native

Built to run effortlessly on Kubernetes — scale and orchestrate your AI workloads reliably.

Custom Data Structure

Customize Memory and ETL output based upon your data structure to cater to your exact business logic and AI application needs.

Scalable Solution

Seamlessly scale your application to match your business growth speed without worrying about infrastructure.

Professional Services

Our experts help you design memory systems, migrate and/or process any data, and continuously optimize for performance.

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