Enterpriseintelligence
withouttheoverhead.

Purpose-builtdatasystemsforunifiedanalytics,transformationinminutes,andtheabilitytoqueryinnaturallanguage.Fromrawingesttobusinessdecisions,withoutthesprawl.

9EA - Elastic Analytics
Data lakehouse
A unified lakehouse, raw storage, ACID-compliant tables, and query execution in a single platform.

Data Ingestion

Data At The Speed Of Business

Connect once via ready-made connectors. The platform continuously ingests from every source, resolving types and formats automatically.

Data Transformation

Data Shaped Your Way

No SQL expertise required. Execute, version, and roll back transformations over Delta Lake and Iceberg with a single click.

Query & Analytics

Intelligence At Conversational Speed

Text-to-insight sits atop your entire data estate. Analysts and executives self-serve without writing a query or waiting on engineering.

Data Governance

Control At Every Grain

Define policies and lineage once. RBAC enforces them across every pipeline, view, and dataset automatically.

9SF - Stratum FS
Parallel File Systems
POSIX-compliant distributed file storage engineered for large-scale concurrent I/O. Bandwidth scales linearly with fleet size, zero throughput degradation.

Distributed Storage

Data striped across nodes with no single bottleneck. Throughput grows with fleet size, no re-sharding required.

Compute-Native Mount

Mounts directly into VM instances and Kubernetes pods. Eliminates object-store round-trips for latency-sensitive pipelines.

9AV - Artifact Vault
Model Registry
An immutable, content-addressed artifact store that versions every checkpoint and tracks it from training run through to deployment.

Versioned Checkpoints

Artifacts immutably tagged across dev, staging, and production. Roll back to any checkpoint without re-running a training job.

Model Export

Export registered models to standard inference-compatible formats. Straightforward handoff from registry to serving infrastructure.

9SI - Semantic Index
Managed Vector Databases
Fully managed vector storage for embedding-based retrieval and similarity search. Scales with your index size without operational overhead.

Vector Indexing

Efficient indexing for high-dimensional embeddings with fast similarity search across your data corpus.

Embedding Model Support

Connect your embedding model of choice as an index source. Supports standard OpenAI-compatible APIs and major open-source models.

Built by experts
Our Leadership
Experienced leaders building the future of AI infrastructure and cloud platforms
Abhijeet Singh
Abhijeet Singh
Co-Founder
Ex-VP Cloud Infra @ Jio, AT&T IIT KGP
Abhinav Sinha
Abhinav Sinha
CEO & Co-Founder
Ex-COO & CPO @ OYO, Ex-BCG Harvard, IIT-KGP
Vamshidhar Reddy
Vamshidhar Reddy
Co-Founder
Ex-McKinsey Partner, Ex-AMD Stanford, IIT KGP
Backed by global investors
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