Platform Key Capabilities
Accurate Machine Learning & Generative AI, delivered fast.
A data driven approach to innovate your business.
Create
Apply Machine Learning & GenAI to your existing business management ecosystem, without having to make costly changes.
Automate
Leverage your extensive data sources, derive informed business insights and gain competitive advantage with decision automation.
Innovate
Benefit from the variety of best-in-class algorithms on a single platform and bring speed, transparency and scale to your organization.
Enterprise Generative AI
AltaSigma's AI Pilot provides superior information retrieval functionalities on internal enterprise data, privately hosted LLMs, and secures data so it stays within your organization. Runs on private cloud or on-prem/air-gapped
Build Retrieval Augmented Generation (RAG) pipelines utilizing VectorDB, Embeddings, Knowledge Graphs, and LLMs for advanced data understanding and generation capabilities. Establish an advanced role and access framework to enable role-based access to GenAI functionalities and the underlying enterprise data.
Get fact-based answers, data extraction, summarization, and other processing tasks, as well as code/SQL generation for data analysis.
Data Management & Data Engineering
Empowering Enterprise AI with the relevant data is our passion. We offer cloud and on-premises data connectors across Relational, NoSQL, Big Data, Streaming, File System and SaaS data sources. Our data management capabilities deliver a single view across all data sources to increase agility and productivity.
We provide rich data engineering functionalities for coders and non-coders alike to easily design and build flexible, reusable and reliable data pipelines. Our orchestration services provide robust automation capabilities to integrate the prepared data seamlessly into analytics pipelines.
Machine Learning & Artificial Intelligence
We make any AI algorithm available through the AltaSigma platform, whether Machine Learning, Deep Learning, NLP, Reinforcement Learning, Process Mining or complex optimization algorithm. If requested, we make each newly released algorithm available in our platform the following day.
In addition to a notebook environment in which we deliver all common data science kernels such as Python, Spark, PySpark, R, Julia, SAS, etc., we provide a no-code AutoML module as well as turnkey AI solutions, including Speech Recognition, Recommender Systems, Process Mining and State Machines. A standardized real-time REST API for model inference is provided for all trained models.
Automated Machine Learning (AutoML)
AltaSigma orchestrates and automates all relevant machine learning tasks along the Machine Learning Lifecycle chain like data preprocessing, feature engineering, selection of appropriate model architectures, hyperparameter tuning, evaluation of model performance, choosing the best model, and model deployment.
The AltaSigma interface is designed to have as few parameters as possible so that all the user needs to do is to select the training data, the algorithm category (e.g. supervised/unsupervised learning, reinforcement learning, process mining) and optionally specify thresholds for model evaluation.
Machine Learning Operations (MLOps)
AltaSigma MLOps provides the technology and routines to deploy, monitor, manage, and govern machine learning in production. MLOps is required to scale the number of machine learning-driven applications in an organization, to efficiently run and maintain hundreds or thousands of models.
MLOps is an integral part of AltaSigma's Model Lifecycle Management that allows models to be updated without interrupting service to downstream applications. AltaSigma MLOps provides robust production model governance with role-based access control, built-in model approval workflows, and full version control and rollback.
Guided Analytics & AI Apps
AI Apps provide the ability to design and build custom no-code applications for arbitrary data science processes focused on the requirements of business users. AI Apps are designed by data scientists and deliver an interface for selected interaction with the end user to give non-data scientists intuitive access to do interactive data science.
Through a couple of simple patterns, AI Apps abstract away all of the technologies and protocols that are required to build a full-stack web app with interactive data visualization. AI Apps are simple enough to bind a user interface to any Python notebook code in less than 10 minutes.
Self Service Analytics
AltaSigma’s Self Service Analytics module delivers modern, enterprise-ready business intelligence capabilities. It is fast, lightweight, intuitive, and loaded with built-in visual best practices, that make it easy for users of all skill sets to explore and visualize their data.
Ad hoc analysis, fancy reports or dashboards are easy to build and view - they can be shared with users across the organization in just a click. Charting options include more than 50 types of visualizations, from simple pie charts to highly detailed geospatial charts.
