Make Data Your Enterprise's True Core Asset โ In Every Dimension
AI-Ready Data Platform extends traditional ETL with multimodal data asset management (text, images, audio/video, vectors), integrated LLM fine-tuning, and native ML platform fusion. Broadly compatible with Hive, Spark, EMR, DuckDB, Ray/Daft, and all major vector databases, it uses Data Agents to automate pipeline orchestration โ from data ingestion to AI application enablement, out of the box, all in one place.
Manage structured, semi-structured, and unstructured data (text, images, audio/video) in one place. Built on open Iceberg/Paimon lakehouse formats, compatible with major cloud object storage. Global Data Catalog with full-lineage metadata โ no more siloed data warehouses and unmanaged files.
Eliminate the boundary between data warehouse and ML platform. Data processing, feature engineering, LLM fine-tuning, and vector embedding happen in a single pipeline. Native Ray/Daft distributed training support removes cross-platform data movement costs.
Dual-mode operation: Copilot-assisted development and fully autonomous Data Agent. Business users query the Agent directly; it automatically handles data discovery, pipeline design, code generation, testing, and deployment โ compressing multi-week delivery into minutes.
Fine-grained RBAC access control with dynamic data masking, full-chain audit trails, and dual-layer encryption at rest and in transit. Designed and built to align with financial-grade security standards and regulatory frameworks including GDPR and MLPS 2.0.
Connect structured databases, log streams, text, images, and audio/video while preserving existing access controls
Open Iceberg/Paimon format, unified metadata catalog, full lineage, AI-enhanced metadata extraction
Semantic vectorization, feature engineering, and LLM fine-tuning in one engine โ compatible with Spark, DuckDB, and Ray
Agent automatically builds, schedules, and maintains pipelines โ Copilot-assisted or fully autonomous, designed to minimize manual on-call overhead
Deliver real-time, high-quality vectorized data feeds to RAG systems, business intelligence, model inference, and downstream AI applications
Big Data Compute
Lightweight ETL
AI Compute Framework
Lakehouse Format
Vector Database
Unify contracts, customer service records, product documentation, and image assets in a single lakehouse, then power RAG systems and AI applications with semantically enriched, traceable knowledge โ solving the root cause of LLMs that don't understand your business
Complete enterprise data cleaning, labeling, feature engineering, and LLM fine-tuning within one platform โ eliminating cross-system data movement risk while retaining full ownership of proprietary model capabilities without building separate ML infrastructure
Data Agent automatically monitors pipeline health, diagnoses root causes, and executes fixes โ significantly reducing ETL on-call burden, with new business data requests handled end-to-end by the Agent
Business teams query Data Agent directly; it autonomously handles data discovery, multidimensional analysis, and report generation โ compressing traditional multi-week request backlogs into minute-level responses
Book a personalised demo with our product team and explore how it fits your enterprise environment.
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