The Ultimate Data Suite

Master enterprise data with precision

From swift acquisition and seamless processing to advanced visual analytics, all crafted to empower predictive and generative AI applications.

Data management representation

Data management

Efficiently streamlines data acquisition, storage, and analysis, thus helping reduce infrastructure requirements and costs.

Data management representation

Open and modular

Includes interfaces, formats, and data management libraries. This allows for the integration of multiple data sources and facilitates quick integration.

Real-time vector database representation

Real-time vector database

A key component in generative AI applications, designed to operate efficiently at scale and with real-time indexing capabilities.

Try for free

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Optimize your data management

KEY BENEFITS

Faster at loading, unloading and querying data.

Zoomable plots with +1 Million data points

Faster indexing vectorized data / embeddings.

Data management solutions

Shapelets offers a suite of products that accelerate the development of data projects.

Specifically, it improves the performance of data pipelines, minimizes infrastructure requirements, and optimizes speed and data consistency to achieve the best analytic results.

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Vector DB

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index
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store
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search

Data Access

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loading
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query
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export
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Data Visualization

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load
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transform
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visualize

Vector DB

Data access

Data visualization

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index
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store
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search
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loading
Query Icon
query
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export
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load
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transform
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visualize
Logo Shapelets VectorDB

Everything you need to create your first GenAI apps

The highest performance vector database market

Comparison with Pinecone

RAM consumption is unknown in the case of Pinecone. Shapelets REC measures just 2.76 Megabytes of physical RAM.

Designed for efficient storage, retrieval, and similarity search in high-dimensional vector data.

Vector databases are a key component in AI systems, especially generative AI and RAG applications. With minimal memory consumption indexing, we can immediately provide your applications with accurate context.

Algorithms

State-of-the-art parameterless indexing algorithms, based on quantification and bitmap indexing, render HNSW, FAISS, ScaNN, and Annoy obsolete.

Our proposal

A real-time scalar and vector indexing solution with a low memory footprint.

Indexing / Scability

Achieves indexing speeds of over 100,000 vectors per second with less than 1 GB of RAM.

Logo Shapelets DataApps

Agile data visualization

License based on usage, not on number of users

DataApps Illustration

Reduce the time to production of data applications from weeks to minutes

Data professionals can create and publish interactive data applications directly from their Python environment to their corporate environment. Shapelets Data Apps manages version control, provisioning, security, and deployment transparently, thus saving thousands of dollars and accelerating the needs of data-driven organizations.

Visualization integration

Supports Matplotlib, Altair, Seaborn, Folium, Plotly, among others.

Python API

To develop professional visualizations.

Time series

Line charts to navigate fluently through a million data points.

Transparent Horizontal Scalability

Supports multiple concurrent users.

What clients say about us

TESTIMONIALS

Silvia Sierra

Managing Partner

Our customers find great value in the accelerated analytics and TCO reduction achieved with the help of Shapelets Data Apps.By significantly reducing the complexity of deploying data visualizations, as well as data processing times, Shapelets enables our clients to gain critical insights faster, thereby driving better decision-making and improving overall business performance.

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Eduardo Rodriguez

CTO

Now we can say that we are managing our business in real-time. To control the operations of our rental management business, analyzing information in real time is critical. Previously, generating or updating the daily metrics report took us an average of 6 minutes. Since we began using Shapelets, this report generation now takes just 5 seconds. Consequently, we can now say that we are managing our business in real time.

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Fernando Rodríguez

Founder

Their suite of software tools offers a range of technical solutions that significantly reduce development time and infrastructure costs in data projects. As a consulting firm, we are always seeking innovative solutions that provide value to our clients, and Shapelets has proven to be one of them. By leveraging Shapelets, we’ve been able to deliver faster, more efficient results, which helps us stay ahead in an ever-evolving industry.

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Some customer success stories

LAST STORIES

Básico Logo

Blazing fast management dashboards

Repsol Logo

Real-time visualization of just-ingested, fine-grained sensor data in refinery plants

74.1%
less time

 in dashboard development

(from 2 weeks to 4 days)

99.4%
faster

in dashboard loading

(From 6 minutes to 2 seconds)

Millions
of € saved

with our real-time anomaly detection system

10X
more time

data points, with higher time resolution

Basico used a dashboarding tool based on views extracted from their database. These queries took way too long to run and the dashboard took multiple minutes to load. With Shapelets Data Apps Basico’s team was able to build a single solution using python to quickly extract data from their database and visualize it, with interactive filters and great dashboard responsiveness.

Repsol benefited from the use of Shapelets in two ways: firstly, its efficiency allowed to ingest data from refinery plant sensors significantly faster, and also to increase data granularity, therefore achieving greater model accuracy. Additionally, Shapelets allowed to simplify the development process of their data projects by speeding up the interactions between data scientists and business stakeholders, and removing the need for a dedicated front-end development team.

Some customer success stories

LAST STORIES

Básico Logo

Blazing fast management dashboards

74.1%

less time

 in dashboard development
(from 2 weeks to 4 days)

99.4%

faster

in dashboard loading
(From 6 minutes to 2 seconds)

Basico used a dashboarding tool based on views extracted from their database. These queries took way too long to run and the dashboard took multiple minutes to load. With Shapelets Data Apps Basico’s team was able to build a single solution using python to quickly extract data from their database and visualize it, with interactive filters and great dashboard responsiveness.

Repsol Logo

Real-time visualization of just-ingested, fine-grained sensor data in refinery plants

Millions

of € saved

with our real-time anomaly detection system

10x

more time

data points, with higher time resolution

Repsol benefited from the use of Shapelets in two ways: firstly, its efficiency allowed to ingest data from refinery plant sensors significantly faster, and also to increase data granularity, therefore achieving greater model accuracy. Additionally, Shapelets allowed to simplify the development process of their data projects by speeding up the interactions between data scientists and business stakeholders, and removing the need for a dedicated front-end development team.

Technical Support

Access documentation, code, and updates

Documentation

Logo Shapelets VectorDB

Shapelets Core is the heart of the Shapelets ecosystem, incorporating both Data Access and Data Indexing functionalities.

Documentation

Logo Shapelets DataApps

Shapelets Data Apps is the blazing-fast tool every Data Scientist dreams of. Build and deploy Data Apps in minutes with unmatched speed and ease.

Github

Our GitHub page provides access to benchmarks, code examples, and use cases. Go to the issue tracking section to report bugs and feel free to contact us for feature requests.

Start building large-scale
generative
AI applications now

Use our vector database to index large sets of documents as they come in, and provide your text generation LLM with the appropriate context.

Start building large-scale
generative
AI applications now

Use our vector database to index large sets of documents as they come in, and provide your text generation LLM with proper context.

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