Rivia

About Rivia

Rivia provides an AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources into a relational database within 20 days, enabling real-time access and analysis. This technology addresses inefficiencies in biopharma clinical trials caused by fragmented data, enhancing decision-making and operational predictability.

```xml <problem> Biopharmaceutical companies face challenges in clinical trials due to fragmented data residing in disparate sources, leading to inefficiencies in analysis, decision-making, and operational predictability. Manual data consolidation is time-consuming and prone to errors, hindering real-time access to insights and delaying critical decisions. </problem> <solution> Rivia offers an AI-powered data integration engine designed to standardize and consolidate clinical trial data from various sources into a unified, relational database. The platform leverages AI to map and convert raw variables into clean, consistent SDTM formats, establishing real-time data pipelines. This enables biopharma companies to access integrated knowledge across vendors and programs, facilitating more predictable operations and unlocking hidden therapeutic potential through AI-driven analytics and visual intelligence. </solution> <features> - AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources. - Integration of data into a relational database in approximately 20 days. - AI-powered mapping and conversion of raw variables into clean, consistent SDTM formats. - Real-time data pipelines, dashboards, and AI agents for immediate actionable insights. - Visual intelligence tools that transform natural language into dynamic graphs and cohorts. - AI-powered conversational agent embedded within the Patient Profile for instant answers about individual patients. - Secure access to trial data and documentation leveraging existing data access methods. </features> <target_audience> The primary target audience includes biopharmaceutical companies, clinical research organizations (CROs), and clinical trial teams seeking to streamline data integration, enhance decision-making, and improve operational predictability in clinical trials. </target_audience> ```

What does Rivia do?

Rivia provides an AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources into a relational database within 20 days, enabling real-time access and analysis. This technology addresses inefficiencies in biopharma clinical trials caused by fragmented data, enhancing decision-making and operational predictability.

When was Rivia founded?

Rivia was founded in 2022.

How much funding has Rivia raised?

Rivia has raised 3350000.

Who founded Rivia?

Rivia was founded by Dani K. and Henk Johan Streefkerk.

  • Dani K. - Founder
  • Henk Johan Streefkerk - CEO
Founded
2022
Funding
3350000
Employees
15 employees
Major Investors
Speedinvest
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Rivia

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Rivia provides an AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources into a relational database within 20 days, enabling real-time access and analysis. This technology addresses inefficiencies in biopharma clinical trials caused by fragmented data, enhancing decision-making and operational predictability.

rivia.com1K+
cb
Crunchbase
Founded 2022

Funding

$

Estimated Funding

$3.4M+

Major Investors

Speedinvest

Team (15+)

Dani K.

Founder

Henk Johan Streefkerk

CEO

Company Description

Problem

Biopharmaceutical companies face challenges in clinical trials due to fragmented data residing in disparate sources, leading to inefficiencies in analysis, decision-making, and operational predictability. Manual data consolidation is time-consuming and prone to errors, hindering real-time access to insights and delaying critical decisions.

Solution

Rivia offers an AI-powered data integration engine designed to standardize and consolidate clinical trial data from various sources into a unified, relational database. The platform leverages AI to map and convert raw variables into clean, consistent SDTM formats, establishing real-time data pipelines. This enables biopharma companies to access integrated knowledge across vendors and programs, facilitating more predictable operations and unlocking hidden therapeutic potential through AI-driven analytics and visual intelligence.

Features

AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources.

Integration of data into a relational database in approximately 20 days.

AI-powered mapping and conversion of raw variables into clean, consistent SDTM formats.

Real-time data pipelines, dashboards, and AI agents for immediate actionable insights.

Visual intelligence tools that transform natural language into dynamic graphs and cohorts.

AI-powered conversational agent embedded within the Patient Profile for instant answers about individual patients.

Secure access to trial data and documentation leveraging existing data access methods.

Target Audience

The primary target audience includes biopharmaceutical companies, clinical research organizations (CROs), and clinical trial teams seeking to streamline data integration, enhance decision-making, and improve operational predictability in clinical trials.