Acceldata Acquires Bewgle
Acceldata today announces that it has acquired Bewgle to deepen enterprise data observability for AI and to incorporate leading edge AI capability into its product.
Trusted by enterprise data teams worldwide
Rohit Choudhary
Why Data Observability for AI
Improve Data Quality and Reliability
Continuously monitor data quality through complex pipelines and transformations
Get Notified of Problems Before Model Build
Implement circuit breakers and data reliability triggers before models are built to reduce wasted analytics costs
Monitor Data Lineage & Freshness
Ensure the right data is fed into models, set up business rules to synchronize data from multiple sources
Data Observability for AI
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Benefits of Data Observability for AI
Improve Model Performance & Reduce Cost
High quality, fresh data produces better ML models, yielding precise decisions at lower costs
Comply with Regulations
Reduce risk of non-compliance with data lineage and data governance practices
Enhance Trust and Transparency
Objective metrics, reproducible results, and audit trails build trust in your data models and provide transparency
Dan Power
AI To Power Acceldata
Data Observability Platform
The power of AI can also be leveraged to assist data observability practitioners and products with detecting anomalies, automating decisions, and identifying root causes. Watch our blog for updates on new features and enhancements.
Ganga Kumar
About Bewgle
Founded in 2017 by ex Googlers Shantanu Shah and Ganga Kumar, the Bewgle team has over 40 years of combined experience building large scale consumer and enterprise products. Bewgle is a leader in AI, Natural Language Processing, and LLMs.
Bewgle’s customers include well known brands in the retail, wellness, and CPG industries. These customers leveraged Bewgle’s capabilities to deliver solutions such as competitive monitoring, voice of the customer, sentiment analysis, brand promotion, and CDP (Customer Data Platform) initiatives.
Acceldata welcomes the Bewgle team
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