The Data Quality Problem
AI & analytics need trustworthy data — but current tools aren’t ready
Data
Bad data is the silent killer of AI & analytics
~80% of time goes to cleaning and reconciling data. Models drift, trust erodes, and decisions get risky.
Tools
Traditional tools fall short
Rule-based, batch-first, infra-heavy. They struggle with streaming, schema drift, and unstructured data—exactly where AI lives.
The rise of AI demands a new class of tools
Autonomous data quality agents are emerging as the answer to today’s challenges. Purpose-built for real time, they remove the limits of legacy tools and keep AI powered by clean, reliable data.
Built for the future
Meet Subsec’s Autonomous Data Quality Agent
An event-driven, serverless agent that monitors, detects, and fixes data quality issues across batch and streaming — without rule sprawl or heavy infrastructure.
Data Trust
Always-on, self-learning, and adaptive — the teammate that keeps your data healthy.
Trust
Spot issues before they spread
Subsec continuously profiles every field, highlighting anomalies, missing values, and quality scores in real time — so your data stays healthy and reliable.
Clean
Fix data with plain English
Tell Subsec to “standardize dates,” “strip spaces,” or “merge duplicate values.” It translates natural language into powerful data transformations — no code, no manual wrangling.
Query
Ask your data anything
Ask natural-language questions — from KPIs to time-boxed comparisons — and get instant answers through Subsec’s serverless data lake.
Report
Share insights anyone can use
Generate clear, natural-language reports that non-technical colleagues can read and share — making trusted data accessible across your organisation.
Trust Ready
Trusted, compliant, and future-proof for the AI era.
Built for the future
AI-native design for speed, scale, and accuracy
Most data platforms still run on outdated architectures — slow, costly, and unreliable. Subsec is designed from the ground up for the AI era: autonomous, serverless, and adaptive.
Autonomous, not manual
Free your team from 80% of wasted effort
Data scientists and engineers spend up to 80% of their time cleaning and preparing data instead of innovating. Subsec continuously profiles, detects, and fixes issues in real time — eliminating repetitive prep work.
Scale without limits
Elastic performance at any size
From millions to billions of rows, Subsec processes data in seconds with a serverless, usage-based model that can cut costs by up to 90%. No idle infrastructure, no wasted spend — just performance when you need it.
Compliance you control
Reliable, compliant data for better AI outcomes
70% of AI projects fail due to poor data quality. By running inside your own cloud with built-in governance, Subsec ensures clean, compliant, and reliable data — so your AI can deliver accurate outcomes.
Universal connectivity
Integrates with your existing data stack
Connect directly to databases, warehouses, streaming platforms, and BI tools. No middleware, no complex setup — Subsec integrates natively so you can monitor and improve data quality without changing your workflow.
Zero setup analytics
Query-ready data lake included
Each dataset automatically generates a serverless data lake on Apache Iceberg. Full SQL support, multi-engine compatibility, instant analytics — no setup, no infrastructure costs, just instant access to your clean data.