Impetus
Impetus Technologies provides data analytics and enterprise AI solutions that enhance decision-making processes for businesses. By leveraging advanced algorithms and machine learning techniques, the company enables organizations to extract actionable insights from their data, improving operational efficiency and strategic planning.
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Raised to date
$350MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face challenges in modernizing their legacy data warehouses, ETL processes, Hadoop environments, and analytics systems, often encountering lengthy timelines and high risks of errors when using traditional migration methods. These manual processes can lead to business disruptions and fail to fully preserve existing business logic.
Solution
LeapLogic provides an automated cloud transformation platform that accelerates the migration of legacy data infrastructure to cloud-native stacks. The platform automates up to 95% of the modernization process for data warehouses, ETL, Hadoop, and analytics systems, ensuring accuracy and minimal disruption. By transforming both legacy logic and code, LeapLogic enables businesses to leverage cloud benefits faster and with greater reliability. The platform supports migrations to various cloud environments, including AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake, ensuring compliance and optimized performance.
Target Audience
The primary target audience includes enterprises seeking to modernize their legacy data infrastructure, including data warehouses, ETL processes, and analytics systems, to cloud-native environments.
Features
- Automated code conversion and logic transformation for data warehouses, ETL, Hadoop, and analytics systems
- Support for various source systems, including Teradata, Netezza, Informatica, and more
- Compatibility with cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake
- Prescriptive analysis to identify and address potential migration challenges
- End-to-end transformation approach, covering data ingestion, processing, and analytics
- Automated testing and validation to ensure accuracy and compliance