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
Efficiently streamlines data acquisition, storage, and analysis, thus helping reduce infrastructure requirements and costs.
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
A key component in generative AI applications, designed to operate efficiently at scale and with real-time indexing capabilities.
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.
Vector DB
index
store
search
Data Access
loading
query
export
Data Visualization
load
transform
visualize
Vector DB
Data access
Data visualization
index
store
search
loading
query
export
load
transform
visualize
Everything you need to create your first GenAI apps
The highest performance vector database market
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.
Agile data visualization
License based on usage, not on number of users
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.
What clients say about us
TESTIMONIALS
Some customer success stories
LAST STORIES
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
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.
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
Shapelets Core is the heart of the Shapelets ecosystem, incorporating both Data Access and Data Indexing functionalities.
Documentation
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.