Nekt provides a data platform that consolidates revenue‑related information so sales and marketing agents can query a single source of truth. The platform integrates tools like Google Ads, LinkedIn, HubSpot and Stripe, offering a SQL‑based interface that delivers up‑to‑date campaign performance metrics and other revenue data for consistent decision‑making.
Funding
$234.7K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Revenue teams often struggle with fragmented data sources, requiring manual consolidation of marketing, sales, and financial metrics, which leads to inconsistent reporting and delayed decision‑making.
Solution
Build with AI provides a unified data platform that centralizes revenue‑related information from over 200 SaaS connectors, databases, and files into a governed lakehouse. The platform delivers ready‑made, queryable tables—such as a trusted.campaign_performance view—that combine real‑time metrics across channels like Google Ads, LinkedIn, and Email Nurture. Users can run SQL, Spark, or AI‑enhanced queries directly against the integrated dataset, ensuring all agents access the same, up‑to‑date truth. Built‑in data lineage, change‑data‑capture, and permission controls maintain consistency and auditability over time. The service includes scheduling, event‑driven triggers, and API access, allowing automated pipelines that keep data synchronized without manual effort.
Target Audience
Primary customers are revenue operations teams, marketing analysts, and sales enablement groups in mid‑size to enterprise organizations that need a single source of truth for campaign and revenue data.
Features
- Over 200 prebuilt connectors for SaaS tools, databases, and file sources, with automatic schema handling
- Unified lakehouse architecture that stores structured and unstructured data in a single, governed repository
- Ready‑made analytical tables (e.g., trusted.campaign_performance) for instant cross‑channel revenue reporting
- SQL, Spark, and Nekt AI query interfaces with support for Python transformations
- Schedule‑based, event‑driven, and manual pipeline triggers with credit‑based run accounting
- Fine‑grained data‑level and application‑level permissions, tags, and group controls
- Built‑in data lineage, CDC logs, and audit trails for compliance and traceability
- Platform and data access APIs, plus SDKs for custom integration and automation