Our multi-layer AI & data engineering tech stack helps teams manage and analyze data effectively.
Build real-time engineering data platforms based on tried-and-tested data warehouses, data lakes, data integration tools, data visualization, BI, and governance software.
Programming languages and ML & AI frameworks
Programming language that lets you work more quickly and integrate your systems more effectively
Lightweight interpreted programming language with first-class functions
High-level Python web framework
Fast, web framework for building APIs with Python
Lightweight WSGI web application framework
A unified framework for machine learning with time series
A gradient boosting framework based on tree-based learning algorithms
A simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data
Libraries
A ML library based on the Torch library, used for applications such as computer vision and natural language processing
An open-source library that provides a Python interface for artificial neural networks
A procedure for forecasting time series data based on an additive model
A unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph
A deep learning library which provides high-level components
A software library for machine learning and artificial intelligence
Free and open-source machine learning library for the Python programming language
A scalable, distributed gradient-boosted decision tree (GBDT) machine learning library
The Python module for accessing, using, and training state-of-the-art text and image embedding models
The world's biggest computer vision library
A distributed deep learning library for Apache Spark
A distributed deep learning training framework for PyTorch, TensorFlow, Keras and Apache MXNet
A Python data visualization library based on matplotlib
A fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language
A Python library for the Tableau Server REST API
A library for efficient similarity search
Transform your data with proven tools and expertise
Free consultationNatural language processing
A suite of open source Python modules, data sets, and tutorials supporting research and development
A free open-source library for Natural Language Processing in Python
A Python library for topic modelling, document indexing and similarity retrieval with large corpora
Library for efficient text classification and representation learning
Computer vision
A Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms
A package of popular datasets, model architectures, and common image transformations for computer vision
An open source object detection toolbox based on PyTorch
A free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats
A comprehensive, high-performance framework for augmenting images to improve machine learning models
Data preprocessing and ETL
Enables you to perform real-time, large-scale data processing in a distributed environment using Python
An open-source library for data manipulation, known for being one of the fastest data processing solutions on a single machine
A flexible parallel computing library for analytics
Data analysis & visualization
A Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices
For an easy transition from Python notebooks to AI-powered production data apps
An interactive visualization library for modern web browsers
A declarative visualization library for Python
MLOps
ML and GenAI made simple. Build better models and generative AI apps on a unified, end-to-end, open source MLOps platform.
Create pipelines that connect your versioned datasets, code, and models together for effective experiment tracking the GitOps way.
Kubeflow makes artificial intelligence and machine learning simple, portable, and scalable
A tool for providing the measurements and visualizations needed during the machine learning workflow
The AI developer platform, with tools for training models, fine-tuning models, and leveraging foundation models.
Designed for the most complex, demanding environments and novel use cases
An open-source python library for estimating post-deployment model performance
An end-to-end model evaluation platform for AI developers, with LLM evaluations, experiment tracking
Cloud platforms
A cloud-based machine-learning platform that allows the creation, training, and deployment of machine-learning (ML) models
A platform to simplify the building of generative AI apps
Helps improving code quality and automate code reviews by scanning and profiling your Java and Python applications
A fully managed time-series forecasting service that uses the same machine learning technology used at Amazon.com
A cloud service for accelerating and managing the machine learning (ML) project lifecycle
Vertex AI is a fully-managed, unified AI development platform for building and using generative AI
Big data technologies
A framework that allows for the distributed processing of large data sets across clusters of computers
A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters
An open-source and distributed event store and stream-processing platform
Database & Vector Database
An enterprise-ready, high-performance, massive-scale Vector Database available as open-source, cloud, and managed on-premise solution
The high-performance vector database
The vector database to build knowledgeable AI
An integrated suite of data services centered around a cloud database designed to accelerate and simplify how you build with data
An open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering
Enterprise innovation starts with the right data engineering stack
Schedule your free consultationLLM Models
A multilingual, multimodal generative pre-trained transformer developed by OpenA
A new state-of-the-art for LLM models
A next generation language model with improved multilingual, reasoning and coding capabilities
A next generation AI assistant built by Anthropic and trained to be safe, accurate, and secure
An AI system that can create realistic images and art from a description in natural language
An open generative AI video model based on the image model Stable Diffusion
A transformer-based model with a next-word prediction objective
A generative artificial intelligence chatbot developed by Google based on the large language model (LLM)
Data storage
Open-source solutions
Real-time analytics database for fast, scalable querying and ingesting of large event streams
Columnar database management system optimized for high-performance real-time analytics on large datasets
Distributed storage system providing scalable object, block, and file storage for large data environments
High-performance object storage system compatible with the S3 API for cloud-native environments
Paid solutions
Scalable object storage service for secure data storage, retrieval, and backup in the cloud
Secure cloud storage service optimized for big data analytics and processing
Scalable, secure object storage solution for unstructured data, with built-in analytics and backup
High-security scalable cloud object storage for storing and managing unstructured data
Cloud-based data platform for scalable data warehousing, analytics, and secure data sharing
Unified data analytics platform for big data processing, machine learning, and collaborative data science
Fully managed, serverless data warehouse for fast, scalable analytics on large datasets
Scalable object storage service for unstructured data, optimized for cloud applications and analytics
Data ingestion
Open-source solutions
Syncing data between APIs, databases, and warehouses
Extracting, transforming, and loading data
Collecting, transforming, and forwarding data in real time.
Unifying and processing logs and event data in real-time
Real-time data pipelines and applications
High-performance, low-latency real-time data processing
Paid solutions
Designing, developing, and running data integration workflows
Transactional data management
Data integration, transformation, and cleansing
Building and managing scalable data integration pipelines
Creating, scheduling, and orchestrating ETL workflows at scale
Discovering, preparing, and integrating data for analytics and ML
Real-time event ingestion and processing
Real-time messaging service
Collecting, processing, and analyzing streaming data
Data processing and transformation
Open-source solutions
Stream processing framework for real-time, scalable, and distributed data processing and analytics
Unified analytics engine for large-scale data processing, featuring batch and real-time streaming capabilities
Platform for machine learning and deep learning, used for building and deploying AI models
Data transformation tool enabling analytics engineers to transform, test, and document data in SQL
Paid solutions
Cloud-based data integration service for orchestrating and automating data movement and transformation at scale
Unified data platform for big data processing, machine learning, and collaborative data engineering
Fully managed ETL service for data discovery, preparation, and integration across various data sources
Fully managed service for stream and batch data processing using Apache Beam pipelines
Serverless compute service for running code in response to events, without managing infrastructure
Xenoss is your go-to partner in building custom AI and Data Engineering software and an extension of your tech team.
Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.
Oli Marlow Thomas,
CEO and founder, AdLib
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