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MAKE-TS

MAKE‑TS provides a data‑layer optimization platform built on the Inzata engine that automates data lake provisioning, schema harmonization, and AI‑driven audience segmentation for enterprise marketers. The solution offers both managed and self‑service options with a no‑code/low‑code UI, real‑time data quality monitoring, and pre‑built connectors to integrate existing martech tools, reducing activation time and total cost of ownership.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Marketing organizations often contend with fragmented martech stacks where the underlying data layer is poorly integrated, leading to delayed activation of new data sets, limited audience insights, and higher operational costs.

Solution

MAKE Technology Solutions (MAKE‑TS) addresses this gap by delivering a data‑layer optimization platform built on the Inzata engine. The service can be consumed as a fully managed offering or a self‑service portal, allowing marketers to provision data lakes and enrich data sets in minutes rather than weeks. Integrated AI/ML models automatically generate audience segments and predictive scores, which are then exposed through a no‑code/low‑code UI that both technical and non‑technical users can operate. By harmonizing the data foundation, MAKE‑TS enables existing martech tools to exchange clean, real‑time data, accelerating personalized campaign rollouts and reducing total cost of ownership. The solution also includes continuous data‑quality monitoring and governance controls to maintain compliance and reliability.

Target Audience

The primary customers are enterprise marketing teams, CMOs, and data‑centric marketers who need to streamline their martech ecosystems and accelerate audience activation across multiple channels.

Features

  • End‑to‑end data‑layer assessment and schema harmonization across disparate martech sources
  • Automated provisioning of data lakes and data sets via Inzata’s rapid ingestion pipelines
  • AI/ML‑driven data modeling for audience segmentation, propensity scoring, and look‑alike generation
  • No‑code/low‑code visual interface for building data workflows and dashboards without coding
  • Managed services option delivering full pipeline design, implementation, and ongoing support
  • Self‑service portal with API access for custom integrations and on‑demand scaling
  • Pre‑built connectors for leading CRM, CDP, DMP, and advertising platforms to ensure seamless data flow
  • Real‑time data quality monitoring, lineage tracking, and role‑based governance controls
This profile is AI-generated and may contain inaccuracies.