Lucere Data Science
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About
Lucere Data Science is a specialized AI platform that functions as an automated personal data scientist, designed to streamline the initial stages of data exploration. By allowing users to upload custom datasets and interact with them via natural language, the tool removes the technical barriers often associated with data science. Users can ask specific questions about their data, and the platform’s AI agents will interpret the request, process the underlying information, and provide an exploratory analysis that includes both statistical insights and visual representations. The platform operates through a unique compute-based architecture where AI agents execute various data science workflows. Unlike tools that charge purely based on seat licenses or LLM tokens, Lucere utilizes a credit system where one credit corresponds to ten seconds of compute time. This allows the tool to handle computationally intensive tasks such as Principal Component Analysis (PCA), protein differential expression analysis, and complex price spread modeling for financial assets. The credits cover all necessary large language model tokens, ensuring that users only focus on the processing time required for their specific data tasks. Lucere is particularly well-suited for professionals who handle significant amounts of data but may not have the time or background to build scripts for every new query. This includes healthcare researchers analyzing patient metrics, financial analysts tracking stock market fluctuations, and academic scientists working with biological datasets. The availability of three distinct tiers—Free, Starter, and Pro—makes it accessible for a variety of scales. The Pro plan adds value through dedicated cloud storage for analysis runs, which is essential for users who need to maintain a history of their data explorations. What sets Lucere Data Science apart is its focus on "agentic" data science. Instead of providing a static dashboard, it employs AI agents that actively perform the work of a data scientist. This means the tool can transition from simple data summaries to advanced multi-variable analyses with minimal user intervention. The transparency in its compute-to-credit mapping provides a clear value proposition for technical users who understand the resources required for heavy data processing, while the simple interface remains inviting for those new to advanced analytics.
Pros & Cons
Offers a pay-as-you-go model for low-volume users
Includes unlimited LLM tokens within the compute credit cost
Automates complex tasks like PCA and differential expression in seconds
Provides a free tier to test the platform with custom datasets
Supports diverse use cases from healthcare to financial market analysis
Storage for analysis runs is limited to 100 MB even on the Pro plan
The free tier only includes 5 credits which may be insufficient for complex tasks
Pricing is tied to compute time, which can be difficult to predict for very large files
Requires a sign-in via WorkOS for access
Use Cases
Healthcare researchers can upload clinical data to identify variables affecting heart disease and generate visual health metrics instantly.
Financial analysts can perform price spread analysis on stocks like Apple to track market trends using automated AI compute agents.
Academic biologists can execute protein differential expression analysis on complex datasets without writing manual bioinformatics code.
Business analysts can use the PCA feature to reduce dimensionality in large customer datasets and find key performance drivers.
Platform
Task
Features
• natural language data querying
• exploratory data analysis
• compute-based credit system
• cloud storage for runs
• price spread analysis
• protein differential expression
• principal component analysis (pca)
• ai data science agents
FAQs
How do credits work in Lucere Data Science?
Credits are the currency used to power AI agents within the platform, where 1 credit equals 10 seconds of compute time. The cost includes unlimited LLM tokens, meaning you only pay for the actual processing duration of your data analysis tasks.
What kind of data analysis can I perform?
You can conduct a wide range of exploratory analyses, including Principal Component Analysis (PCA), price spread analysis for stocks, and protein differential expression. The AI agents are designed to handle various datasets, from financial figures to health metrics.
Is there a free trial available?
Yes, Lucere offers a free plan that includes 5 credits for new users. This allows you to test the AI's capabilities on your own data without any upfront financial commitment.
What are the benefits of the Pro plan?
The Pro plan costs $20 per month and provides 200 credits along with 100 MB of cloud storage for your analysis runs. Additionally, it offers a lower rate for extra credits at $0.1 per credit compared to the Starter plan.
Pricing Plans
Starter
USD5.00 / one-time• 40 credits included
• Additional credits at $0.125/credit
• Pay as you go model
• Unlimited LLM tokens included
Pro
USD20.00 / per month• 200 credits included
• 100 MB storage for runs
• Additional credits at $0.1/credit
• Unlimited LLM tokens included
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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