Ascend
High Quality Synthetic
Data Generation Through Data DNA
Our vision is to empower data-driven organizations to scale and share sensitive data to meet business needs in-house and with global partners without compromising on legal, privacy, security, governance, data quality, and also save on data transfer and storage cost.
Ascend The Data Strategy
High-Quality Synthetic Data
Generate statistically accurate synthetic data that maintains source data properties.
Data De-Identification
Allow de-identification of sensitive data directly as well as through Data DNA.
Remote Work/Cost Cutting
Cost cutting by enabling secure remote work through unique Data DNA techniques.
Data Profiling/ Curation
Analyze data quality and patterns while optimizing and standardizing data for AI/ML model reliability.
Feature Engineering
Optimize ML models with variable transformation and feature scaling to prevent dominance.
Quick & Secure Data-Less Sharing Globally
Cost-effective, secure remote work with reduced data transfer and storage costs using unique Data DNA techniques—without regulatory risks.
Scalable Data
Generate data to scale on demand.
Privacy, Security & Governance
Ensure compliance with privacy, security, and governance regulations.
A Cutting Edge
Data DNA Approach
Ascend introduces the groundbreaking concept of Data DNA, which extracts data insights without storing the actual data and can replicate high-quality and hallucination-free synthetic data at scale that mirrors exactly the properties of the original production data without compromising legal, privacy, security, governance and data quality.
Frequently Asked Questions
Our AI SaaS solutions can be quickly deployed, enabling users to start benefiting from AI capabilities without lengthy setup and development times in fast-paced industries.
How does Ascend accelerate my AI strategy?
ASCEND accelerates your AI strategy with its Data DNA technique, creating high-quality synthetic data that preserves essential insights while ensuring privacy and security. It streamlines data sharing, reduces costs, and enhances AI/ML development by enabling accurate model training, rapid R&D, and feature engineering, driving faster, secure, and compliant AI innovation.
How can I use Ascend's synthetic data for machine learning models?
Yes, the synthetic data can be used for ML models as it preserves the characteristics of the original data, without compromising legal, privacy, security and governance requirements.
How does Ascend ensure data privacy and security?
Ascend creates synthetic data that mimics the patterns of the original data, ensuring no real data is exposed, thus maintaining privacy and security.
How does Ascend help in operational cost optimization?
It reduces operational costs by enabling quick and secure data-less sharing globally, thus enabling secure remote work through unique Data DNA which is much smaller in size than the original production data.
How does Ascend help in data transfer and storage costs?
Ascend optimizes data storage using cutting-edge Data DNA technology which is much smaller in size than the original production data.
How does Ascend Data Profiling and Curation increase my AI/ML modeling accuracy?
Ascend helps organizations gain deep insights into their data while cleansing and preparing it for optimal use through its data profiling and curation capabilities.
What are the options for deploying Ascend into my infrastructure?
Ascend is deployable both in the Cloud as well as on-premises
