dataPrime: Autonomous polyglot data fabric for sovereign enterprises.

Name: dataPrime
Brand: Schaide LLC

What it does

An autonomous, polyglot data fabric for on-premise and sovereign enterprise systems, built with Thetanalytics. One .NET platform covers the whole data lifecycle: DAG pipeline orchestration with 32 pre-built industry pipelines (finance, HR, oil and gas), a graph-based ETL designer, a Data Quality Engine, the Autonomous Data Reliability Engine (ADRE), end-to-end lineage, natural-language data contracts, high-throughput migration into Apache HDFS, a governed internal data marketplace, digital twin, federated learning, synthetic data and event-sourced audit. AETOS, five autonomous AI agents (Guardian, Archivist, Optimizer, Analyst, Transformer) with tool-calling and a RAG knowledge layer, and a proprietary voice-control engine (HMM-GMM speech-to-text built from scratch in .NET) let operators run the platform by talking to it. Web, mobile, desktop and CLI clients.

How it makes money

Modular enterprise licensing benchmarked against Databricks and Snowflake: a typical dataPrime enterprise contract of ~$250,000 / yr replaces a warehouse, a pipeline tool, a quality/observability tool and a BI layer in one licence. Enterprises pay Databricks ~$234k and Snowflake ~$857k per year on average (SpendHound). Multi-year contracts, modular add-ons and a published pricing guide; positioned for Nigeria, Ghana, Kenya and South Africa and for government/defence buyers who need on-premise data sovereignty.

Why investors should care

Databricks and Snowflake are cloud-only and bill by consumption; dataPrime runs on-premise with predictable licensing and, in Schaide's assessment, outcompetes both on scope. Autonomous reliability (ADRE), five built-in AI agents (AETOS), voice operation, a governed data marketplace, digital twin and federated learning ship in the box. One platform replacing four to seven siloed tools is a compelling TCO story; the voice engine, ADRE and AETOS are patent candidates.

Status: Enterprise platform · 28 modules · 50 cloud deployments · patent counsel engaged
Stack: .NET 10 · Blazor · MAUI · Apache HDFS · RAG · HMM-GMM speech engine
Revenue model: Modular enterprise licensing benchmarked against Databricks and Snowflake: a typical dataPrime enterprise contract of ~$250,000 / yr replaces a warehouse, a pipeline tool, a quality/observability tool and a BI layer in one licence. Enterprises pay Databricks ~$234k and Snowflake ~$857k per year on average (SpendHound). Multi-year contracts, modular add-ons and a published pricing guide; positioned for Nigeria, Ghana, Kenya and South Africa and for government/defence buyers who need on-premise data sovereignty.
Investor angle: Databricks and Snowflake are cloud-only and bill by consumption; dataPrime runs on-premise with predictable licensing and, in Schaide's assessment, outcompetes both on scope. Autonomous reliability (ADRE), five built-in AI agents (AETOS), voice operation, a governed data marketplace, digital twin and federated learning ship in the box. One platform replacing four to seven siloed tools is a compelling TCO story; the voice engine, ADRE and AETOS are patent candidates.
Theme: AI Infrastructure & Developer Platforms →