Data Fabric
From Raw Inputs to Ready Intelligence - Instantly
Agentycs collapses the traditional data pipeline into an agent-driven workflow so you can move straight from ingestion to insight on a single screen.
Why We Built Datasets
Traditional data projects demand three different specialist teams - engineers, analysts and data scientists - to wrangle sources, model relationships and build predictive tools. Agentycs collapses that entire chain into an agent-driven workflow that lives natively inside our AI Lakehouse.
How it works
| Stage | What Normally Happens | What Agentycs Does |
|---|---|---|
| Ingest & Clean | Data engineers write ETL, chase column names, fix typos… | An ingestion agent connects to SQL, APIs, SharePoint or spreadsheets, auto-detects schema, cleans and standardises on the fly. |
| Model & Join | Analysts design joins, build views, aggregate at multiple grain levels… | A modelling agent learns relationships, generates joins and tests them automatically. Describe the view you want and it is built in minutes. |
| Analyse & Ask | Users wait for dashboards or write complex SQL queries. | Ask questions in natural language or SQL inside the Agentycs chat with provenance and reusable queries. |
| Predict & Optimise | Data scientists prototype notebooks, refactor code, productionise… | Pre-configured ML agents create forecasting or feature-importance models, while Gen-AI handles orchestration and explanation. |
Key Features
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Universal Connectors
SQL databases, CSVs, SharePoint libraries, sensor feeds and more.
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Natural Language Directives
Describe cleaning rules or modelling goals in plain English and the system handles the rest.
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Automatic Testing
Agents run test queries and schema identification to validate every new model before release.
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Versioned Lineage
Every step from raw row to predictive output is tracked and auditable.
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One Click Promotion
Promote any dataset or model to your organization's secure catalogue for others to explore.
Built for Imperfect Data
Whether your source is a pristine relational store or a SharePoint full of spreadsheets, Agentycs agents diagnose structure, map columns and repair inconsistencies faster than any human team.
Human Control, Agent Speed
Agents handle repetitive mechanics while your experts provide context and oversight. Every decision is logged for post-hoc review.
From Dataset to Deployment
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Publish the dataset as an authorized artefact.
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Query it ad-hoc via chat or SQL.
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Automate downstream workflows that trigger on data events.
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Predict with built-in ML agents to forecast demand or detect anomalies.
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Operationalize findings into Agentycs automation, BI dashboards or external apps via secure APIs.
Ready to Turn Raw Data into Mission Advantage?
Book a live demo and see Agentycs data fabric in action.
Book a Live Demo