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Nekt unifies data for action — connecting sources, organizing data layers, and making everything accessible to both humans and AI agents through a single environment. Whether you’re building dashboards, automating workflows, or wiring up agents that need reliable data at runtime, Nekt gives your team one place to manage it all. Run it in your cloud (AWS or GCP) or in Nekt Express, our hosted environment.

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Why Nekt exists

Most teams reach a point where data starts to spread across multiple systems — SaaS tools and APIs, spreadsheets and exports, BI dashboards, internal databases, and AI agents. Transactional databases keep applications running, but they’re not designed for analytics, historical tracking, or cross-system visibility. Without a dedicated data infrastructure, teams face:
  • Inconsistent KPIs across tools and teams
  • No historical record of how data changes over time
  • Manual consolidation with no audit trail
  • Ungoverned access with no control over who sees what
  • Data silos that block collaboration and AI adoption
Nekt solves this by creating a governed data layer where all company data is extracted, organized, versioned, and made available for humans and AI — with permissions, lineage, and history built in.

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Core modules

Nekt is built around a set of modules that move data from source to activation.

Sources

Connect data from 100+ systems including SaaS platforms, databases, and APIs — no manual API management required.

Catalog

Browse and manage all your tables, schemas, and data structure in a lakehouse architecture.

Explorer

Query your data with SQL or use the AI-powered SQL Assistant to generate queries from natural language.

Queries

Write SQL to transform and consolidate datasets into new tables ready for dashboards, reports, and AI.

Notebooks

Run Python or PySpark code for advanced processing, enrichment, or automation on a schedule.

Histories

Track how records change over time with a built-in SCD Type 2 template.

Destinations

Deliver processed data to analytics platforms, internal systems, and communication tools automatically.

Integrations

Connect to BI tools, APIs, and AI agents — Looker Studio, Power BI, Grafana, MCP, and more.

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Who uses Nekt

Nekt is used by teams that want to move faster with data without building a full internal data platform. This includes:
  • data teams that need reliable infrastructure
  • revenue and operations teams that depend on analytics
  • product teams building AI-powered workflows
  • companies that want structured data without heavy engineering effort
Some teams using Nekt have dedicated data engineers. Others do not. The platform is designed so that both technical and non-technical users can work with data reliably and independently.

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Getting started

The fastest way to understand Nekt is to connect your first data source. From there you can:
  1. extract data from your systems
  2. explore it in the Catalog
  3. build Queries with SQL or Notebooks with Python
  4. activate the results in dashboards, automations, or AI agents
Continue to Getting Started to set up your first workspace.