UNTANGLER

Make Smart Decisions

Leverage the power of data to anticipate change, adapt faster, and lead with AI-driven strategy that shapes your market advantage
%
Improved Productivity
42%
Accurate Decision Enhancement
83
Data Error Reduction

Benefits

Untangler is a smart data services framework designed to help organizations become truly data-driven. It consolidates information into a unified source of truth, enabling seamless data extraction, correlation, and enrichment. By applying artificial intelligence, Untangler empowers teams to unlock the full value of their data and make faster, smarter, and more informed decisions.

It simplifies the use of state-of-the-art technologies such as Internet of Things, Machine Learning, Artificial and Business Intelligence for any business vertical.

Data Driven Culture

Data Driven philosophy in one platform without the need of profiles with hard skills to use it. Data science and engineering for everyone.

Unified Data Source

One un-siloed platform to access all of your data regardless of format, schema, or size.

Easy Data Modeling

Applying Machine Learning and deep learning algorithms to increase organization data maturity in order to create new business outcomes.

Codeless Platform

A full suite of data cleansing and transformation tools are available in no-code format, eliminating the need to write complex expressions or code.

Framework

"Unwrap data to break silos, untangle information using AI, unveil insights to produce positive business outcomes."

Technologies

Technology designed to evolve: AI + IaC at the service of your transformation
META
Deepseek
Gemini
Open AI
Mistral
Microsoft
Antropic

Use Cases Framework By Industry

RAG as a Service

Retrieval augmented generation (RAG) is a technique that helps improve the accuracy and reliability of large language models (LLMs) by incorporating information from external sources. (learn more...)

Credit Scoring

More accurate assessment of customers' likelihood of payment and creditworthiness using non-conventional data such as their history with products and services. This enabled both financial inclusion and business profitability.

Demand forecasting

Based on historical sales, inventory, and promotions, a demand prediction algorithm is implemented to minimize purchasing and storage planning errors and identify the future behavior of each product, ensuring adequate inventory and improving decision-making.

Churn Prediction

Churn prediction detects which customers are likely to leave a service or to cancel a subscription to a service. It is a critical prediction for many businesses because acquiring new clients often costs more than retaining existing ones.
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