SolasAI Alternatives

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

Go beyond compliance and build trust through transparency, choice, and control. People demand greater control of their data, unlocking an opportunity for organizations to use these moments to build trust and deliver more valuable experiences. We provide privacy and data governance automation to help organizations better understand their data across the business, meet regulatory requirements, and operationalize risk mitigation to provide transparency and choice to individuals. Achieve data privacy compliance faster and build trust in your organization. Our platform helps break down silos across processes, workflows, and teams to operationalize regulatory compliance and enable trusted data use. Build proactive privacy programs rooted in global best practices, not reactive to individual regulations. Gain visibility into unknown risks to drive mitigation and risk-based decision making. Respect individual choice and embed privacy and security by default into the data lifecycle.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.

Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance.

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.

FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready. Top features include: - Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks. - Hallucination Detection: Proactively detect errors and unexpected answers. - Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens. Plus: - AI Inventory - Centralized Policy Center - Roles and Controls FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence.

Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.

Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores.

Bring data analysts, engineers, and scientists together. Enable self-service analytics and operationalize machine learning. Get results today and build for tomorrow. Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) or a customizable drag-and-drop visual interface at any step of the predictive dataflow prototyping process – from wrangling to analysis to modeling. Profile the data visually at every step of the analysis. Interactively explore and chart your data using 25+ built-in charts. Prepare, enrich, blend, and clean data using 80+ built-in functions. Leverage Machine Learning technologies (Scikit-Learn, MLlib, TensorFlow, Keras, etc.) in a visual UI. Build & optimize models in Python or R and integrate any external ML library through code APIs.

Our platform dynamically assesses and mitigates AI risks in models and datasets concerning bias, proxy bias and fairness. Our Responsible AI technology enables deeper visibility into AI models and makes them explainable and interpretable. Our research-based AI robustness assurance algorithms identify and mitigate risks related to lack of robustness. Our platform reviews AI landscape about various AI and MRM regulations and provides deeper risk analysis, comprehensive reporting, and automated remediation. AI risks across in-house AI systems as well as AI systems provided by third parties need to be assessed and remediated. SigmaRed platform enables comprehensive third-party AI risk management (AI TPRM) and rapidly reduces the cycle time of conducting AI risk assessments while providing deep visibility, control, stakeholder-based reporting, and detailed evidence repository.

Mind Foundry is an artificial intelligence company operating at the intersection of research, innovation, and usability to empower teams with AI that is built for humans. Founded by world-leading academics, Mind Foundry develops AI solutions that help organisations in the public and private sectors tackle high-stakes problems, focusing on human outcomes and the long-term impact of AI interventions. Our intrinsically collaborative platform powers AI design, testing and deployment and enables stakeholders to manage their AI investment responsibly with key focus on performance, efficiency and ethical impact. Built on a cornerstone of scientific principles and an understanding that you can’t add things like ethics and transparency after the fact. The fusion of experience design and quantitative methods that makes collaboration between humans and AI more intuitive, efficient and powerful.

While not all models are created equal, every model needs governance to drive responsible and ethical decision-making throughout the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization’s AI activities. It employs software automation to strengthen your ability to mitigate risks, manage regulatory requirements and address ethical concerns for both generative AI and machine learning (ML) models. Access automated and scalable governance, risk and compliance tools that cover operational risk, policy management, compliance, financial management, IT governance and internal or external audits. Proactively detect and mitigate model risks while translating AI regulations into enforceable policies for automatic enforcement.

Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks.

An AI governance platform designed by lawyers with regulatory expertise, tailored to your use cases and policies. Businesses must learn to navigate and comply with new legislation and guidelines. Organizations risk losing customer trust and a breakdown in product engagement if AI malfunctions. Teams must deal with increasingly complex AI systems, with more use cases than ever. Monitor compliance of your AI systems through our assessments and live model controls. Alert users to mitigate potential issues or risks. Implementing good AI governance practices can be time-consuming. Leverage built-in automation to import model data and artifacts, and review and update documentation. Understand AI compliance across your organization. Provide senior stakeholders with the full picture of their AI compliance to make strategic decisions and share reports for curated audiences. We offer a complete set of policies that ensure legal and regulatory compliance through pre-configured assessments.

Creating responsible AI is a business problem, not just a tech problem. We solve for the whole problem by bringing teams together onto one platform to mitigate risk, leverage your full potential, and turn intention into action. Uniting every stage of your AI/ML journey with cloud-based governance applications. GovernML is the kickstarter you need to bring good AI/ML systems into the world. We bring user-friendly workflows that document the lifecycle of your AI journey on one platform. That’s good news for your risk mitigation and your bottom line. Monitaur provides cloud-based governance applications that track your AI/ML models from policy to proof. We are SOC 2 Type II-certified to enhance your AI governance and deliver bespoke solutions on a single unifying platform. GovernML brings responsible AI/ML systems into the world. Get scalable, user-friendly workflows that document the lifecycle of your AI journey on one platform.

AI and non-AI models need risk management and oversight. Fairly provides a continuous monitoring system for advanced model governance and oversight. With Fairly, risk and compliance teams can collaborate with data science and cyber security teams easily to ensure models are reliable and secure. Fairly makes it easy to stay up-to-date with policies and regulations for procurement, validation and audit of non-AI, predictive AI and generative AI models. Fairly simplifies the model validation and auditing process with direct access to the ground truth in a controlled environment for in-house and third-party models, without adding overhead to development and IT teams. Fairly's platform ensures compliant, secure, and ethical models. Fairly helps teams identify, assess, monitor, report and mitigate compliance, operational and model risks according to internal policies and external regulations.

Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution.

Take your data-driven enterprise to the next level with augmented intelligence. From algorithms to architecture, BasisAI manages the end to end development of real-time, scalable and responsible AI systems. Complete lifecycle AI solution: from bespoke AI algorithms, to production-grade AI application, and ongoing multi-year management. Rapid time to market: from your data to scalable, containerised deployment of real-time AI engine in weeks. No black boxes. Built-in AI governance, fairness and compliance. Retain control over your enterprise data, whether it is on AWS, GCP or another cloud infrastructure. We provide strategic guidance in building the right structures, frameworks and technologies, giving you a path to long-term scalability. Through exploratory use case sessions and system design workshops, we help you to move beyond experiments and algorithms and have control over your own capability development.

Quality assurance for machine learning simplified. Snitch removes the noise to surface only the most useful information to improve your models. Track your model’s performance beyond just accuracy with powerful dashboards and analysis. Identify problems in your data pipeline and distribution shifts before they affect your predictions. Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle. Keep your data secure, cloud, on-prem, private cloud, hybrid, and you decide how to install Snitch. Work within the tools you love and integrate Snitch into your MLops pipeline! Get up and running quickly, we keep installation, learning, and running the product easy as pie. Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying. Gain actionable insights to improve your models. Compare against historical metrics and your models’ baseline.

Azure AI Content Safety is a content moderation platform that uses AI to keep your content safe. Create better online experiences for everyone with powerful AI models that detect offensive or inappropriate content in text and images quickly and efficiently. Language models analyze multilingual text, in both short and long form, with an understanding of context and semantics. Vision models perform image recognition and detect objects in images using state-of-the-art Florence technology. AI content classifiers identify sexual, violent, hate, and self-harm content with high levels of granularity. Content moderation severity scores indicate the level of content risk on a scale of low to high.

ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise.

Harness the power of Qlik® Staige™ to make AI real by delivering a trusted data foundation, automation, actionable predictions, and company-wide impact. AI isn’t just experiments and initiatives — it’s an entire ecosystem of files, scripts, and results. Wherever your investments, we’ve partnered with top sources to bring you integrations that save time, enable management, and validate quality. Automate the delivery of real-time data into AWS data warehouses or data lakes, and make it easily accessible through a governed catalog. Through our new integration with Amazon Bedrock, you can easily connect to foundational large language models (LLMs) including A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. Seamless integration with Amazon Bedrock makes it easier for AWS customers to leverage large language models with analytics for AI-driven insights.

Get in minutes what used to take years to build. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy, maintain and improve ML in production. Superwise is an open platform that integrates with any ML stack and connects to your choice of communication tools. Want to take it further? Superwise is API-first and everything (and we mean everything) is accessible via our APIs. All from the comfort of the cloud of your choice. When it comes to ML monitoring you have full self-service control over everything. Configure metrics and policies through our APIs and SDK or simply select a monitoring template and set the sensitivity, conditions, and alert channels of your choice. Try Superwise out or contact us to learn more. Easily create alerts with Superwise’s ML monitoring policy templates and builder. Select from dozens of pre-build monitors ranging from data drift to equal opportunity, or customize policies to incorporate your domain expertise.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

The Holistic AI Governance Platform is a 360 solution for AI trust, risk, security, and compliance that empowers companies to adopt AI at scale.

CyberCube’s analytics platform provides an unrivalled ecosystem of data, signals and models to fuel cyber risk quantification. CyberCube enables (re)insurance placement, underwriting decisions, and portfolio management optimization – all powered by a state-of-the-art cloud-based technology framework. Our clients benefit from the world’s largest investment in analytics, models and services built specifically for the cyber insurance industry. An active and trusted contributor in the industry, we work with multiple stakeholders to build world-class solutions. Unlock the business value in cyber insurance from our team of 100’s of world-leading experts from data science, cyber security, artificial intelligence, threat intelligence, actuarial science, software engineering and insurance. Enable a detailed view of enterprise risk profiles for individual risk underwriting. Power portfolio-level decision-making through forward-looking models.

hx Renew empowers the world’s leading insurers of complex risks to transform their rating and underwriting with agile tool development, streamlined underwriting workflows, and enhanced decision-making. hx Renew unlocks efficiencies across the entire rating ecosystem, empowering insurers to make effective rating and underwriting decisions. Build and update raters faster, access new data and align your whole team to business objectives with in-model controls. With dedicated training and extensive support, we enable your team to leverage the best in Python for insurance and ensure your implementation is running smoothly, so you can achieve goals faster and realize hx Renew’s full potential.

The cost of commercial tort litigation against the business (where benefits paid = losses + defense attorney fees + administrative costs, e.g., gathering documents, meeting with counsel, sitting for depositions, etc.) was about $160 billion per year. For the 10-year period, the total was almost $1.6 trillion. To train a deep learning model of the federal court’s category of civil rights-employment, i.e., “employment discrimination,” we extracted allegations of fact from 400 complaints filed in federal court (no emails). We put the employment discrimination model in a GPU instance in Microsoft Azure and AWS and tested it with 20,401 emails from the Enron. The model had not previously assessed any emails. You can export each true positive email to an internal investigation or case management platform. And, because there’s a database hooked to the UI, you can save those true positives, then add them to the initial training set and re-train the model.

Predictive Modeling with Machine Learning and Explainable AI. FICO® Analytics Workbench™ is an integrated suite of state-of-the-art analytic authoring tools that empowers companies to improve business decisions across the customer lifecycle. With it, data scientists can build superior decisioning capabilities using a wide range of predictive data modeling tools and algorithms, including the latest machine learning (ML) and explainable artificial intelligence (xAI) approaches. We enhance the best of open source data science and machine learning with innovative intellectual property from FICO to deliver world-class analytic capabilities to discover, combine, and operationalize predictive signals in data. Analytics Workbench is built on the leading FICO® Platform to allow new predictive models and strategies to be deployed into production with ease.

Endgame lets you connect the dots between user behavior and sales opportunities, without expensive data scientists or engineers. GTM teams can’t connect the dots between product usage and sales opportunities. GTM teams with a free plan or trial lack visibility into the behavior of their signups, trial users, and sales opportunities. Revenue leaders waste countless hours figuring out which accounts and users their reps should engage with. Reps don’t know what action will lead to the best outcomes, which results in the wrong action (or no action at all). Take immediate action on prospective and current customers based on real-time data signals. See what top accounts and users are doing in your product, how far along their journey they’ve come, and whether or not your reps should engage with them. Improve the performance of your reps by showing them the prospects and opportunities with the strongest signals.

I-underwrite delivers world class auto-underwriting. We offer a comprehensive set of software modules capable of delivering a full, end-to-end insurance sales process online, including needs analysis and quote, e-application, auto-underwriting, digital signature, up-sell or cross sell, offer and acceptance, payment processing, policy issue, reporting and data analytics. Auto-underwriting software The cornerstone of our digital insurance software is our auto-underwriting rules engine. Underwriting rules can be quickly and easily configured to auto-decision life, critical illness, disability, income protection and medical products to meet the specific needs and underwriting philosophy of any insurer. The rules engine is available as a ‘self-contained’ module, which can be integrated into an insurer's hosted environment or provided on a Software - as a Service model. Plug into the i-underwrite U/W engine using any electronic distribution system.

Predict outcomes and gain clarity on complex Labor & Employment issues with our easy-to-use platform. Quickly identify similar decisions based on factors and outcomes, rather than keywords. Confidently predict outcomes, identify authorities, and how key factors can impact your position. Identify, manage, and access the latest cases to deliver the most informed outcome. Use your findings to plan, create reports, and interview potential clients. Present persuasive arguments based on hundreds of relevant decisions. Enable juniors to discover key factors in court decisions. Search for similar decisions by factors and outcomes. Leverage insights from past cases to provide fair termination package offers. Avoid costly disputes using unbiased reports that corroborate your position. Gain clarity on whether to handle internally or refer to external counsel.

To improve underwriting, risk transfer, and pricing decisions in an increasingly challenging market, (re)insurers need modeling software that delivers faster analytics, deeper insights, and more efficient workflows. That’s the advantage of establishing Risk Modeler™ as the foundation of your interconnected risk lifecycle. Better understand drivers of risk with greater modeling transparency, flexibility, and customization. Decrease expense ratios, increase productivity, and improve risk insights with third-party modeling. Build new digital workflows and meet evolving business requirements with cloud-native architecture. Risk Modeler can run more than 400 Moody’s RMS models, and more than 300 models available in the Nasdaq platform across multiple regions, perils, and lines of business using a common cloud platform.

Identify, measure, and correct potential wage disparities across races/genders among similar workers based on their individual pay records. Make adjustments quickly in response to potential discrimination problems and design an equitable Reduction-In-Force (RIF) process, including layoffs and furloughs, that is fair and less prone to litigation. EquityPath RIF is a web-based software specifically designed for analyzing equity issues related to Reduction-In-Force (RIF), including layoffs and furloughs. It combines an interactive user interface, sophisticated econometric models, and easy-to-digest dashboard to identify, measure, and correct potential discriminative behaviors across races/genders among similar workers. EquityPath RIF allows you to make adjustments quickly in response to potential discrimination problems and design an equitable RIF process that is fair and less prone to litigation.

LexisNexis® Attract™ scores help insurance carriers conveniently and accurately classify insureds and applicants according to their risk potential, leading to improved underwriting. LexisNexis® Attract™ scores help insurance carriers conveniently and accurately classify insureds and applicants according to their risk potential, leading to improved underwriting. Now, with Attract™ 5.0, carriers have access to our most predictive models yet. For more than two decades, LexisNexis Risk Solutions has helped improve rating, pricing, and underwriting decisions for the insurance business. These solutions span the home, auto, and commercial markets. Superior loss predictability, regulatory, compliance, and easy implementation that improves business outcomes remain core to the Attract™ suite of scores. The next generation, AttractTM 5.0 solution provides carriers the ability to make even better use of consumer credit information to improve underwriting efficiency further.

Choose the channel that suits your trading style based on the latest statistics. All channels in the ranking are monitored by verified traders. You will automatically create tasks based on their signals. If you like to keep everything under control, you can create tasks based on signals manually and edit them in advance. If you are tired of tracking, you can use Smart Trade and create tasks by specifying take profit and stop loss directly on the chart. Create a channel in the trader's office and generate signals. Keep your hand on the pulse of your signals: panic sell, editing and averaging are at your disposal. Our service is fully integrated with the familiar TradingView charts. Right on them, you can set take profit and stop loss levels, see the average order price, as well as save your indicators, lines, and settings.

Take advantage of digital statistical information to better understand your business performance and get advice on how to improve it. Our software will allow the centralization of all important signals concerning your company. Too often complicated to gather and process, the information is directly gathered here to offer optimal readability and facilitate its use. Whether it is traffic information, sales evolution or the life of your prospects, through the definition of predictive models, all the indicators in place allow you to make decisions in full knowledge of the facts, with all the necessary information. The Digital intelligence offered by the Maarketer software makes it possible to create a central place to bring together all the strategic digital information you need. In addition to these figures specific to your structure, the principle of Digital intelligence is to allow you to understand your customers and their behavior.

Unleashing the power of Medius’ multi-cloud artificial intelligence platform to deliver greater than 90% accuracy and coverage on various health intelligence and risk predictions using just a few health variables. Using just a few health data co-ordinates, Medius’ multi-cloud artificial intelligence platform aggregates, and mines massive datasets to create all relevant health risk and underwriting insights within seconds, with over 90% accuracy and coverage that can help providers and payers with their health and life needs assessments, distribution, operations efficiency, and cost optimization needs. Medius’ proprietary UW Studio™ is a complete underwriting platform delivering the AI revolution that has fundamentally altered the insurance landscape whereby multiple science-based underwriting ensemble models are deployed to address the business and technical requirements by reproducing humanistic deductive actuarial reasoning with clinical accuracy.

Gradient AI is a leading provider of proven artificial intelligence solutions for the insurance industry. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. AI solutions for the insurance industry built on key differentiators that enable your organization to grow profitably. Look through the lens of Gradient AI to see a new picture of risk and probability, a picture that grows sharper the more it learns. A more complete and in-depth picture of risk providing enhanced underwriting capabilities. Price policies more accurately and with deeper insights, to compete more effectively and win more business while improving loss ratios. Accelerate expansion into a new geography, new line of business, or a new industry sector, leveraging data to gain a deeper understanding of risk in new markets.

The ultimate insurance claim automation solution powered by patented blockchain technology. Claims are the moment of truth for all insurance, and with our solutions, everything has been craftily designed to automate insurance claims for insured and insurers with unbeatable accuracy and speed, from claim estimation before a claim occurs, to making the right claim decision and settling the payments. MediConCen is a leading insurance technology that automates insurance claims and makes insurance usable for insurance companies, medical networks, and clinics using Hyperledger Fabric blockchain. We empower claim assessors with powerful AI models and expert knowledge decision rule engines so that fraud and abuse can be spotted instantly and clean cases can be approved right away for consistently perfect claim cost management and unbeatable efficiency. Be in the know with powerful claim analytics that simply work for underwriting and product development.

3D printing slicing software controls every aspect of your 3D print. It translates 3D models into instructions your printer understands. Better instructions mean better prints, so a simple software upgrade makes all the difference in the world. In fact, more than 90% of experts agree that 3D printing software has the greatest impact on print quality, even more so than the 3D printer itself! Engineers, architects, designers, and research professionals rely on Simplify3D to deliver exceptional results with complete control over the printing process. Passionate entrepreneurs, makers, and designers take advantage of powerful software controls that unlock new capabilities and take their designs to the next level. Professors, teachers and students learn one software interface to control all their 3D printers. Extensive online resources keep students challenged throughout the learning process.

Ada is the world's most popular symptom assessment app, with 10 million users and 20 million completed assessments. Every three seconds, someone turns to Ada for personal health guidance. Our powerful enterprise solutions help partners inform health decisions, triage to appropriate care, and reduce avoidable costs. We work with healthcare systems and providers, insurers, payers and commissioners, life sciences, employers, governments, and non-profits. Supporting better health outcomes and clinical excellence with intelligent technology. Your body is sending you important signals about your health. Understand, manage, and get care for symptoms with trusted medical expertise in minutes. Deliver better outcomes with powerful enterprise solutions. Inform health decisions, enhance triage to appropriate care, reduce avoidable costs. Optimized with human doctors, medical guidance in your language, supporting pandemic responses and most comprehensive condition coverage.

VIVA Finance powers a mobile-first lending platform that offers loans underwritten primarily based on employment information, rather than credit history. VIVA’s mission is to build an inclusive financial system by expanding access to affordable credit through its alternative underwriting model. Launched in early 2019, thousands of individuals have utilized VIVA's loans to refinance expensive debt and cover a variety of financial needs. Affordable, salary-linked loans to help employees manage unexpected expenses and existing, expensive debt. Financial coaching and education to help employees understand their personal finances. Improved credit score and savings to help improve employees’ financial well-being. VIVA Finance offers unsecured personal installment loans of up to $10,000. The annual percentage rate (APR) on a VIVA Finance loan typically ranges between 11.99% and 32.75% with a term between 5 and 24 months.

Collective Health is the first integrated solution that allows self-funded employers to administer plans, control costs, and take care of their people, all in one place. Let us show you how we deliver better benefits with curated programs, connected administration, and smart member experience. From scientists to truck drivers to musicians, we’re proud to serve the happiest clients and members in the health insurance industry. See why leading self-funded employers across the nation choose Collective Health. Are you a broker or consultant working to drive your clients’ healthcare strategy forward? Collective Health simplifies employee healthcare with an integrated technology solution that makes health insurance work for everyone. With nearly a quarter of a million members and over 50 clients, including Driscoll’s, Pinterest, Red Bull, Restoration Hardware (RH), Zendesk, and more, Collective Health is reinventing the healthcare experience for forward-thinking organizations.

FLooP was a very simple recursive block structured language invented by Douglas Hofstadter for his book Godel, Escher, Bach. It features a simple subroutine structure, very simple number and boolean handling, and recursion. Unlike its cousin BLooP, FLooP does support unbounded loops. This allows it to possess the full power of a Turing machine, thus making it fair game for various undecidability theorums. The syntax of FLooP is rather verbose but simple in structure. Though Hofstadter doesn't mention it in GEB, FLooP is similar to early exercises in exploring the computational model of "Random Access Machines". Note the use of 'CELL(0) <= 2' and similar constructs. Though FLooP was never intended to be more than an academic exercise, an implementation of FLooP in Perl was made. Unfortunately, I can't seem to find it. S - block-structured language type.

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