Hasper Gen AI Platform

Purpose-built platform that brings the power of generative AI and machine learning to enterprise workflows

Faster and Accurate

Go from concept to a production-grade data product in a few minutes. Experience the power of machine learning without the operational complexities.

Improve productivity by collaborating on datasets, code, and data product outputs to eliminate silos, promote knowledge sharing, and streamline processes.

Utilize reusable datasets and features to build data products faster and more efficiently. Leverage insights from past behavior to reduce reinvention and drive business growth.

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Humanized Expertise with Hasper

Interact with data via an intelligent natural interface. Integrate LLMs seamlessly into your analytics workflows to enhance your teams’ scale, speed, and productivity

Super-charge LLMs with domain-specific agents for highly accurate results. Hasper combines grounding, prompt engineering, ML, and result post-processing for continuous improvements in relevance, accuracy, and user experience.

Leverage hybrid data products that integrate analytics, ML, and natural language to meet diverse business requirements. Hasper ensures policy-based execution, delivering within defined guardrails for security and privacy compliance.

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Enhance accuracy and confidence by combining machine intelligence with human expertise for reliable outcomes.

Trace the complete journey of each dataset, including transformations, sources, and pipeline runs to enable 10X faster troubleshooting.

No more hallucination! Eliminate misinformation by grounding LLMs with organization-specific knowledge, ensuring accurate and factual results.

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  • Secure Hosting Options: Choose between on-premise or virtual private cloud deployment, ensuring your data remains exclusively on your servers for maximum confidentiality.
  • SOC2 Compliant: Hasper is architected with security and trust as first-class considerations, and includes features such as code commit tagged pipelines, data anonymization, and GDPR record logging.
  • LLM Integrations at every level of privacy: Depending on your privacy policies, Hasper can integrate with a wide range of LLMs, from entirely private to public. Your IP remains yours and is masked to offer an extra layer of security.
AICPA Ready GDPR Ready
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How Hasper Gen AI
Platform Works

  • Multiplexer: Automatically select the most suitable LLM based on the complexity and type of use case.
  • LLM Firewall: Stay safe against all risks associated with LLMs, like data leakage and prompt injection.
  • LLM Task Blades: Solve specific tasks with a high degree of accuracy with purpose-built agents.
  • Feature Engineering: Transform raw data into consumption-ready datasets with ease.
  • Vectors and pre-processing: Make LLMs fit for enterprise consumption while improving accuracy.
  • Data Product Library: A rich repository of advanced analytics data products.
Scribble Data platform diagram Scribble Data Enrich vertical platform diagram

Resources to help you get started

Mars great resignation case study with Scribble Data

How Mars Took Steps to Evaluate the Potential Impact of the “Great Resignation”

Learn how Mars, a Fortune 100 CPG company collaborated with Scribble Data to assign a “probability of attrition” through data, and ML modeling.

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Terrapay case study with Scribble Data

Streamlined data insights and agile data preparation for Terrapay

Learn how Terrapay, a leading cross-border payment infrastructure solution provider built the Terrapay Intelligence Platform (TIP) with Enrich to achieve operational efficiency through use cases such as Forecasting, Partner Performance Analytics, Customer Journey Analytics, and more.

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Introducing Hasper: LLM-powered Engine For Advanced Analytics

Over the last year, we have evolved from an MLops platform company that gave enterprises the ability to build and deploy machine learning for analytics teams, to an applied AI data products platform. Throughout this journey, our mission has remained consistent: to help organizations make better decisions using data. We’ve reached a pivotal moment in […]

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data-driven decision making today?

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