5 Top Automated Data Cleaning Solutions developed by Startups

Curious about new technological advancements in data management? Explore our analysis of 329 global startups & scaleups and learn how their automated data cleaning solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the data industry. This time, you get to discover five hand-picked automated data cleaning startups.

Out of 329, the Global Startup Heat Map highlights 5 Top Automated Data Cleaning Startups

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 329 exemplary startups & scaleups we analyzed for this research. Further, it highlights five data startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 324 automated data cleaning solutions, get in touch with us.

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Trajektory offers Automated Data Aggregation Software

Founding Year: 2019
Location: Chicago, USA
Partner for: Data Ingestion
Use Trajektory’s solution for Automated Reporting

US-based startup Trajektory develops an all-in-one sponsorship reporting platform. Its platform features a data aggregation solution to integrate all of its customers’ partner data sources. Moreover, it cleans, organizes, and constructs the disparate data sources automatically into a consistent and clean dashboard. The platform enables companies and managers to monitor the performance of their assets, such as sponsorship, through data that is automatically grouped, organized, cleaned, and compiled into reports.

Sweephy develops Generalized Data Cleaning Software

Founding Year: 2020
Location: Istanbul, Turkey
Partner for: Autonomous Data Analysis
Use Sweephy’s solution for No-Code Database Cleaning

Turkish startup Sweephy specializes in the research and development of generalized data cleaning and preparation software. The software cleans company data and performs highly accurate analysis without the need for coding knowledge on data cleaning or preparation. It achieves this through features such as typo fixing, duplicate data detection, null value removal, anomaly detection, and more. In this way, the software removes the need for companies to have dedicated data scientists as part of their teams.

causaLens creates an AI-based Data Cleaning Platform

Founding Year: 2017
Location: London, UK
Partner for: Autonomous Data Analytics
Use causaLens’ solution for Financial Asset Management

UK-based startup causaLens creates an AI platform that understands the cause and effect relationship within datasets. Their Causal AI solution goes beyond predictive analytics, directly augmenting human decision-making by providing recommendations. The latter are explainable and reliable in real world scenarios, accounting for all constraints. Through the use of automation, the AI platform cleans, sorts, and monitors vast amounts of data sets simultaneously. Causal AI enables applications in multiple industries such as banking, e-commerce, healthcare, and more to assist management executives make reliable decisions.

uProc provides Data Enrichment Tools

Founding Year: 2018
Location: Granollers, Spain
Partner for: Data Optimization
Innovative with uProc to Clean & Validate Geographical Data

Spanish startup uProc specializes in providing tools to clean, verify, enrich, send, and automate data. Their API allows clients to test all tools for free including processing any file with the wizard, generating B2B lists, or integrating with their systems. uProc’s automated data tools are designed to integrate with most business tools such as AppyPie, Google Sheets, Integromat, WordPress, etc. Moreover, users do not require any coding knowledge to automate the data management process. The solution finds applications in data handling from sources such as LinkedIn, FormBoost, WeTrack, and more.

Intrava advances Dashboards as a Service

Founding Year: 2017
Location: Oslo, Norway
Partner for: Real Estate Analytics
Reach out to Intrava for Real Estate Business Intelligence

Norwegian startup Intrava develops software that merges and cleans data to create dashboards. Its solution integrates with any type of system including both standard and proprietary, and then automatically consolidates, cleans, and standardizes data into a centralized database. The centralized data is then utilized to create reports in the form of dashboards for business teams to service insights. Their dashboard-as-a-service platform goes beyond automated data cleaning to provide benefits to managers in merging portfolios, financials, leasing, debt, aged receivables, and more.

Discover more Data Startups

Startups such as the examples highlighted in this report focus on data cleaning, validation, enrichment as well as aggregation. While all of these technologies play a major role in advancing data-driven industry management, they only represent the tip of the iceberg. To explore data technologies in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.

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