Scribble Data Enrich logo

Scribble Data Enrich

by ScribbleData. · Since 2013
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ActiveAvailable globallyCloud
Quick facts
VendorScribbleData.
Year launched2013
StatusActive
LocationCanada Scribble Data Inc 55, York Street, #401, Toronto ON M5J 1R7
Countries servedGlobal
Languages1
Integrations10+
Free tierN/A
Free trialN/A
Contact salesYES

About Scribble Data Enrich

Scribble Data Enrich automates feature engineering and data product creation for analytics and AI teams. It provides reusable data products, collaboration tools, and LLM integration to enrich datasets while tracking lineage and compliance. Integrations with cloud storage, CRM, and LLM providers support hybrid workflows. Hybrid data products combine analytics, ML, and LLM enrichment in one workflow. Key capabilities: Automated feature engineering and enrichment Reusable data product library LLM integration for data interaction Data lineage and observability controls Integrations with cloud and enterprise tools Best for: Data teams accelerating analytics and ML pipelines.

Scribble Data's Hasper is a software platform designed to streamline and automate Pension Risk Transfer (PRT) workflows using artificial intelligence (AI). It offers a range of features, including AI-powered assistants for various PRT tasks, data cleaning and validation, deal assessment and optimization, and comprehensive data orchestration. While the specific user interface (UI) of Hasper is not publicly available, its web-based nature suggests a user-friendly design. The platform's core functionality revolves around its AI assistants, which handle tasks such as extracting data from filings and RFPs, creating tailored group annuity contracts, and generating reports. A unique feature is its "human-in-the-loop" validation model, which combines AI automation with human oversight for increased accuracy and trust. Although there are no independent reviews or benchmarks to assess Hasper's performance and reliability, the company emphasizes its ability to handle large datasets and complex tasks efficiently. Additionally, its focus on data integrity with features like audit logs suggests a commitment to reliable performance.

Pros & Cons

Pros
  • Accelerates data preparation.
  • Enables team collaboration.
  • Integrates advanced AI like LLMs.
  • Ensures security and compliance.
  • Optimizes enterprise decision-making.
Cons
  • No free version or trial.
  • Primarily geared towards large enterprises.
  • Pricing information is unclear.
  • Lacks extensive user reviews for some features.

Features

Key features

1. Feature Engineering Automation

Streamlines data preparation by automating feature creation.

2. Collaborative Data Products

Enables teams to share reusable data products for increased productivity.

3. LLM Integration

Uses large language models (LLMs) like Hasper for enhanced data interaction and analysis.

4. Security and Compliance

Built-in tools like data lineage tracking ensure secure and compliant workflows.

Additional features

1. Data Products Library

Provides reusable datasets for faster development.

2. Data Observability Tools

Includes tracking mechanisms like LLM Firewalls for policy compliance.

3. Hybrid Data Products

Combines analytics, ML, and LLMs for enterprise use cases.

4. Knowledge Base

Integrated team collaboration tools.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
1
Interface languages
10
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇮🇳INR🇨🇳CNY🇨🇭CHF🇸🇪SEK

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