DataAI · AI Data Engine

The data engine behind production AI.

DataAI is purpose-built infrastructure for the full machine-learning lifecycle — from feature engineering and training-data pipelines to a managed vector database and low-latency inference. Ship LLM, RAG, and recommendation systems on data you can trust, govern, and reproduce.

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98.6%

Avg. inference accuracy

B-scale

Vectors per index

<50ms

ANN search latency

1.2B

Embeddings indexed

12k

Queries / sec

94.2%

Recall@10

The AI Data Lifecycle

One engine, from raw data to live model.

DataAI closes the loop between your data platform and your models — every stage versioned, governed, and reproducible.

⊞

Feature Store

Define features once and serve them consistently to training and inference. Point-in-time correctness eliminates train–serve skew.

⇉

Training Pipelines

Build reproducible, versioned datasets for pre-training and fine-tuning, with dataset lineage and quality checks baked in.

⬢

Vector Database

Index billions of embeddings with hybrid semantic + keyword search, metadata filtering, and sub-50ms ANN retrieval.

✦

Inference & RAG

Serve models and retrieval-augmented pipelines behind a low-latency API, with caching, guardrails, and full observability.

Capabilities

Built for teams shipping LLMs & RAG.

⊞

Unified Feature Store

Online and offline stores stay in sync automatically, so the features your model trains on are exactly the ones it serves — with millisecond online lookups.

Point-in-timeOnline + Offline

⬢

Managed Vector Database

A fully managed, horizontally sharded vector store with HNSW & IVF indexes, hybrid search, and metadata filtering — scaling to billions of embeddings.

HNSW / IVFHybrid search

✦

Production RAG

Compose chunking, embedding, retrieval, re-ranking, and generation into versioned pipelines — with evaluation harnesses and grounding citations built in.

Re-rankingEval harness

⚙

Fine-Tuning Workflows

Curate, version, and govern fine-tuning datasets with PII redaction and quality scoring, then launch managed LoRA / full fine-tune jobs on elastic GPUs.

LoRADataset lineage

◎

Low-Latency Serving

Deploy models and embeddings behind an autoscaling inference gateway with request batching, response caching, and token-level streaming.

AutoscalingStreaming

🛡

Governance & Observability

Track data provenance, monitor drift and hallucination rates, and enforce access controls and guardrails across every model and dataset.

Drift monitorsGuardrails

Vector Engine

Semantic search over a billion embeddings — in milliseconds.

DataAI's vector engine combines approximate-nearest-neighbour indexes with structured metadata filtering, so retrieval is both fast and precise. Hybrid scoring blends dense semantic similarity with sparse keyword relevance for state-of-the-art recall.

HNSW & IVF-PQ indexes with tunable recall / latency trade-offs
Hybrid dense + sparse retrieval with cross-encoder re-ranking
Live upserts — keep your index fresh without full rebuilds

Engine Specs

Engineered for scale and reproducibility.

Dimension	DataAI	Detail
Vector index size	Billions / index	Horizontally sharded across nodes with replication
ANN search latency	< 50 ms (p95)	HNSW with configurable recall targets
Embedding throughput	100k+ vectors/s	Batched, GPU-accelerated embedding generation
Feature serving	< 10 ms online	Point-in-time correct, train–serve consistent
Model support	Open & proprietary	Bring your own weights or call hosted endpoints
Governance	Lineage + audit	Dataset provenance, PII redaction, access policies

Pricing

Premium AI infrastructure, per node.

DataAI is licensed per accelerated node. Each node powers embedding generation, vector indexing, and model serving for production AI workloads.

Starting from

DataAI node license

S$2,999

per node · billed annually

Unified online + offline feature store
Managed vector database (billions of vectors)
Production RAG & re-ranking pipelines
Fine-tuning workflows & dataset governance
Autoscaling inference gateway & observability

S$2,999 is the entry list price per node. Final pricing scales with accelerated-node count, model footprint, and support tier — committed-use discounts apply.

Estimate your AI cluster

AI workloads are compute-intensive — most teams start with 2–8 accelerated nodes and grow with traffic.

Accelerated nodes 8 nodes

164

Est. list price / year S$23,992

The Platform

Fueled by your data.

DataAI turns governed enterprise data into intelligence. Pair it with the platform that supplies and stores that data.