Quatra™

Transform from proof of concept to Enterprise AI 

AI APPS

QUATRA CLIENT

Unleash the full potential of artificial intelligence and innovative capabilities in your web and mobile applications with the Quatra Client. This JavaScript API not only empowers you to seamlessly execute advanced AI models but also facilitates the collection of user feedback, driving continuous learning and improvement. Transform applications into intelligent, responsive, and user-centric solutions.

DATA

INTEGRATION

Connect, stream, and process data from over 100 sources with ease. The platform supports both data-in-motion and data-at-rest use cases, providing a unified and real-time data environment. Support for change data capture, event sourcing, and other patterns available. Choose from hundreds of simple data transformations or build your own in Java.

PREPARATION

Preparation is automated through continuous schema inference and profiling. Automatic filtering of datasets based on identified relationships to create subsets of data. Anomaly detection and data quality monitoring available. For those needing additional capabilities, custom Python preparation code may be deployed.

VISUALIZATION

Visualize, understand, and act. Zoom, filter, and drill down into specific data points to extract nuanced insights that might be overlooked. Elevate your data experience and unlock the true potential of your data-driven decision-making. Transform numbers into narratives and insights into impact.

DATA API

Access your data with unparalleled ease. The REST Data API simplifies data retrieval, allowing your applications to seamlessly pull information. The API comes with detailed documentation and examples, making implementation a breeze.

GOVERNANCE

In the ever-evolving landscape of data management, securing and governing your data is not just a priority—it’s a necessity. A robust security model that empowers your governance committee to enforce fine-grained policies, ensuring unparalleled control over your data resources. Exercise precision in data control by specifying actions allowed or denied on specific resources. From securing data streams by unique identifier or other attributes to controlling shared link creation, every aspect of your data ecosystem is under your command.

Learn more about the security framework.

AI

MODEL DEPLOYMENT

Choose from pre-deployed models or deploy your own models. The platform makes it easy to transition from R&D to production where continuous automation of the AI lifecycle is provided.

ENSEMBLE SERVING

Harness the collective intelligence of ensembles and empower decision-makers. Sophisticated multi-model ensemble serving provides concurrent execution of diverse models on a distributed cluster, culminating in a harmonious symphony of insights.

Concurrent Model Execution: Ensemble Serving allows concurrent execution of multiple models within a group, leveraging the power of parallel processing on a distributed cluster. Boost throughput, minimize latency, and handle diverse tasks with ease.

Distributed Cluster Architecture: Embrace scalability and performance. The platform’s distributed cluster architecture ensures that your ensemble of models can scale effortlessly to meet the demands of real-world applications, from edge computing to cloud deployments.

Customizable Final Computation Algorithms: Ensemble Serving processes results through a final computation algorithm, synthesizing the outputs of each model to generate a comprehensive inference. Users have the freedom to utilize platform-provided final computation algorithms or deploy custom ones in Python. This flexibility allows you to adapt the decision-making process to specific use cases.

Declarative Model Groups: Model groups are defined through declarative configuration included during model deployment which provides a cohesive environment for serving, executing, and orchestrating the collaborative efforts of multiple models. Empower your team to experiment, iterate, and customize decision processes for maximum impact.

 

MLOPS

The platform is designed to empower organizations by seamlessly automating the entire data science lifecycle.

Continuous Profiling & Feature Engineering: Stay ahead with continuous schema inference, profiling, and feature engineering during stream processing. Adapt to evolving data patterns effortlessly.

Intelligent Algorithm Lifecycle Management: Let our platform handle algorithm selection, training, testing, and deployment. Identify optimal algorithms, ensure accuracy meets customizable thresholds, and store them in a centralized model repository.

Ensemble Execution & Monitoring: Streamline complex workflows with ensemble grouping. Execute algorithms for every data record streamed, providing comprehensive results. Monitor and fine-tune ensembles for peak performance.

Efficient Metric Calculation & Storage: Drive data-driven decisions with aggregated and calculated metrics. Our platform stores metrics in performant fact tables, enabling swift analytical queries for actionable insights.

Continuous Learning with Feedback Harvesting: Adapt and evolve with user feedback. Capture user input as labels, enabling the platform to learn and optimize. Embrace a dynamic environment where continuous improvement is the norm.

RESPONSIBLE AI

Embrace a holistic approach to fairness assessment, ensuring a thorough evaluation of your AI. Detect, analyze, and mitigate biases, fostering fairness and transparency in your AI-driven decision-making processes. Integrate with AI Fairness 360, Aequitas, Alibi Explain, and Fairlearn.

CORE SERVICES

ARCHITECTURE

Unleash Innovation with a Cloud-Native, Elastic, and Stream-First Architecture. Your AI should be a catalyst for innovation and transformation.

Cloud-Native Prowess with On-Premises Option: Our architecture is born in the cloud, leveraging its native services for seamless integration, optimal performance, and efficient resource utilization. On-premises and hybrid deployments supported.

Cloud Agnostic for Freedom of Choice: Break free from vendor lock-in. Our architecture is designed to be cloud-agnostic, allowing you the freedom to choose the cloud provider that aligns with your needs.

Elastic Scalability: Scale effortlessly to meet your evolving demands. Our architecture’s elastic scalability ensures that resources can adjust to workload fluctuations.

Microservices for Decentralized Efficiency: Embrace a modular and decentralized approach. Our microservices architecture promotes agility and ease of maintenance. Independently deploy, scale, and update components, fostering efficiency and minimizing disruptions across the system.

Stream-First Data Architecture: Process data as it flows. Stay ahead of the curve with real-time insights, allowing your applications to make informed decisions in the moment.

Open and Modular Flexibility: Adapt to your unique needs. Our architecture is open and modular, accommodating existing software investments seamlessly. Integrate third-party technologies effortlessly across the AI automation lifecycle, ensuring compatibility and flexibility in your technology stack.

Developer Empowerment: Provide developers with choices. Our architecture allows developers the flexibility to leverage native services or integrate third-party technologies seamlessly. Empower your development teams to choose the tools that best suit their expertise and the specific requirements of your projects.

SECURITY

In an era where data is the lifeblood of innovation, safeguarding your digital assets is paramount. With roles, meticulous permissions, and a flexible organizational structure, our security model grants you the power to dictate precisely who accesses what within your clusters.

Role-based Access Controls: The security model empowers administrators to define granular permissions, specifying what actions are allowed or denied on specific resources. For example, a role may allow creation of secured sharable links to a stream with a specified unique identifier.

Organization Membership: Streamline access management across organizations. Our platform allows user accounts to be associated with one or more organizations, enabling administrators to efficiently manage access permissions based on organizational affiliations.

Cluster-Centric Resource Management: Keep resources secure within clusters. Our security model revolves around clusters, ensuring that resources are housed and protected within designated environments. Maintain control over data processing services and storage, safeguarding the heart of your digital operations.

Multi-Cluster Flexibility: Embrace organizational diversity. One cluster can serve multiple organizations, offering flexibility in resource utilization. Each organization, in turn, can leverage one or more clusters, providing a scalable and adaptable structure that aligns with your business dynamics.

ADMINISTRATION

Effective administration is the linchpin for seamless operations and optimal performance. Place the reins of control firmly in your hands with a customer-managed deployment.

Kubernetes-Based Control Plane: Harness the power of Kubernetes, the industry-standard orchestrator for containerized applications. The Kubernetes-based control plane serves as the nerve center, orchestrating, and managing workloads with unparalleled efficiency.

Flexible Workload Configurations: The platform supports flexible workload configurations, allowing administrators to customize settings, resource allocations, and deployment strategies to match the unique needs of your organization.

Auto-Scaling Capabilities: Embrace dynamic scalability with Kubernetes auto-scaling capabilities that adapt to fluctuating workloads, ensuring that your resources scale seamlessly in response to demand, optimizing performance and resource utilization.

Simplified Monitoring: Kubernetes simplifies monitoring with robust tools and integrations, providing administrators with comprehensive visibility into the health and performance of the platform. Identify and address issues proactively for a resilient and reliable system.

Maintenance Simplified: From rolling updates to zero-downtime deployments, Kubernetes ensures that maintenance tasks are executed seamlessly, minimizing disruptions and ensuring continuous availability.

Optimized Operations Activities: Simplify day-to-day operations with Kubernetes’ declarative configuration and automation capabilities. Administrators can focus on strategic tasks, knowing that routine operational activities are handled efficiently by the platform.

DEPLOYMENT

Flexible deployment configurations include hybrid, on-premise, private cloud, multi-tenant public cloud, AWS, Azure, Google Cloud Platform, and more. The platform is cloud-agnostic and designed to support centralized or decentralized deployments, it empowers you to choose where and how your solution operates. Deployment environments may be customer managed or managed by us.

DATA WAREHOUSE

A robust data warehouse is the backbone of actionable insights. The results of model execution and metrics from data processing are stored in a data model that enables performant analytical queries. The platform is designed to support different data warehouses, including heavyweights like Snowflake, Redshift, BigQuery, and more.

OBJECT STORE

The platform provides an S3-compatible Object Store as a cost-effective storage solution for historical data and more.

EVENT BUS

In the fast-paced realm of data-driven innovation, speed, reliability, and scalability are non-negotiable. The Event Bus enables high-velocity and high-volume data processing, providing a distributed and highly available environment. The platform ensures that events are delivered reliably and consistently, providing a dependable foundation for mission-critical applications and workflows. Tailored to support the most demanding use cases, including IoT and beyond, the platform ensures that your data flows seamlessly, unlocking the true potential of event-driven and real-time architectures.

WORKFLOW MANAGEMENT

Behind the scenes, the platform automates the scheduling and execution of batch jobs and other workflows. This automation eliminates the risk of human error, enhances reliability, and ensures that processes run seamlessly.