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Amplify the impact and productivity of data science teams with Integrity AI Solutions’s end-to-end platform for AI and machine learning, bringing robust tooling for model design, development, and delivery.
Empower people across your business to do more with data and AI, build projects faster, and work together, all in a shared and safe environment. With Integrity AI Solutions, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.
From data access and preparation through modeling, app development, production deployment, and maintenance, whether traditional machine learning, Generative AI, or a combination of both, Integrity AI Solutions is a one-stop shop for data scientists of all skill levels. Data science teams that use Integrity AI Solutions accelerate their work so that they can take on more — and more interesting — projects.
Integrity AI Solutions provides a standardized development environment for data scientists who prefer code over visual tools. Data scientists can effortlessly operate from notebooks and IDEs, efficiently manage virtual environments, organize code with versatile libraries, and foster collaboration through seamless Git integration for version control.
Want to spend more time doing data science and less time setting up backend resources? Integrity AI Solutions makes dealing with large AI and machine learning data workloads a breeze. Take advantage of elastic and highly scalable computing systems with Integrity AI Solutions’s modern pushdown architecture.
Data scientists of all types — from citizens to experts — can leverage automatic feature generation and other capabilities to expedite this important yet time-consuming task. Data teams can discover, explore, and reuse reference datasets containing curated features in Integrity AI Solutions’s central feature store, reducing the time spent reinventing the wheel.
With Integrity AI Solutions’s LLM Mesh, Prompt Studios, and retrieval-augmented generation (RAG) capabilities, data scientists can quickly enrich their models and projects with Generative AI, using all of the latest large language models (LLMs) and services, all in an IT-approved environment.
Dedicated LLM Mesh components for AI service routing, PII screening, LLM response moderation, performance and cost tracking, and auditing of entire application flows means maximum control and performance.
Build and evaluate production-ready models fast with Integrity AI Solutions AutoML, which also includes built-in guardrails and white-box explainability for citizen data scientists
Advanced data scientists can extend Integrity AI Solutions’s AutoML capabilities by programmatically developing custom models or by importing models developed with MLFlow. Regardless of where a model is developed, Integrity AI Solutions remains the central platform for model deployment and management.
Deliver continuous, high-quality outputs for business applications with one central place for machine learning model and AI project deployment, monitoring, and management in production. With Integrity AI Solutions, data scientists, machine learning engineers, and operators can scale their work without succumbing to the burden of project upkeep with automated drift monitoring, maintenance, and much more.
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Integrity AI Solutions helps teams execute faster with a project-based approach, using dedicated Flows for seamless AI pipeline orchestration. The built-in Wiki serves as a comprehensive tool, documenting project details and facilitating collaboration.
Integrity AI Solutions’s registry centralizes all projects and models in one comprehensive view. Performance metrics and summaries make it easy for leaders and project managers to understand and oversee AI project performance.
Leverage your existing infrastructure to deliver results at scale with Integrity AI Solutions powerful, flexible, and open architecture.
Safely scale AI with oversight and prioritize the data projects and models that deliver the most value.
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