Alternatives to SolasAI

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.

FairNow provides organizations with the AI governance tools needed to ensure global compliance, and manage AI risks. FairNow's features, which are centralized, simplified, and empower the entire team, are loved by CPOs and CAIOs. FairNow's platform constantly monitors AI models in order to ensure that each model is fair, audit-ready, and compliant. Top features include: - Intelligent AI risk assessments: Conduct real-time assessment of AI models using their deployment locations in order to highlight potential reputational, financial and operational risks. - Hallucination Detection : Detect errors and unexpected responses. Automated bias evaluations: Automate bias assessments and mitigate algorithmic biased as they happen. Plus: - AI Inventory Centralized Policy Center - Roles & Controls FairNow's AI Governance Platform helps organizations build, purchase, and deploy AI with confidence.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

Standardize your AI governance efforts across different stakeholders, ensure regulatory readiness for your governance processes, and manage and measure your AI compliance and risks. You can transform your AI/ML projects from being managed by a variety of teams and processes into a centralized repository for trusted governance. Keep up-to-date on the latest regulations and standards by downloading AI Policy Packs. These packs meet all current and future regulations. Credo AI is an intelligence layer which sits on top your AI infrastructure and converts technical artifacts to actionable risk and compliance insights for product leaders and data scientists as well as governance teams. Credo AI is an intelligence layer which sits on top your technical and business infrastructure. It converts technical artifacts into compliance scores and risk scores.

Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly 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 and increase revenue.

Our platform dynamically evaluates and mitigates AI risk in models and datasets relating to bias, proxy bias, and fairness. Our Responsible AI technology provides greater visibility into AI models, and makes them more understandable and interpretable. Our AI robustness assurance algorithms are based on research and identify and mitigate risk related to lack robustness. Our platform provides a comprehensive review of the AI landscape, including MRM and AI regulations, and provides a deeper risk analysis. AI risks in both internal AI systems and AI systems provided by a third party need to be assessed, and remedied. SigmaRed platform allows comprehensive third-party AI Risk Management (AI TPRM). It reduces cycle time for AI risk assessments and provides deep visibility, control and stakeholder-based reports.

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

Every model requires governance to ensure ethical and responsible decision-making in the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization's AI activities. It uses software automation to enhance your ability to mitigate risk, manage regulatory requirements, and address ethical concerns when it comes to both generative AI (ML) and machine learning models. Access automated and scalable compliance, governance and risk tools that cover financial management, IT governance, IT governance, operational risk and policy management. Proactively detect model risks and mitigate them while translating AI regulations to enforceable policies that can be enforced automatically.

Mind Foundry is an artificial Intelligence company that combines research, innovation, usability, and usability to empower teams using AI that is built for people. Mind Foundry was founded by world-leading academics. It develops AI solutions to help public and private sector organisations tackle high-stakes issues. Mind Foundry focuses on human outcomes and long-term impacts of AI interventions. Our platform is intrinsically collaborative and powers AI design, testing, and deployment. It enables stakeholders to responsibly manage their AI investments with a key focus on performance and efficiency as well as ethical impact. It is based on scientific principles and the understanding that ethics and transparency can only be added after the fact. The combination of quantitative and experience design makes collaboration between humans, AI and AI easier, more efficient, and more powerful.

A platform for AI governance, designed by lawyers with regulatory experience and tailored to your policies and use cases. Businesses must learn how to navigate and comply new legislation and guidelines. AI failures can lead to a loss of customer trust and a decline in product engagement. Teams are faced with AI systems that are more complex and have a greater number of use cases. Our assessments and live model control will help you monitor compliance with your AI systems. Alert users of potential issues or risk. Implementing good AI Governance practices can take a lot of time. Use the built-in automation for importing model data and artifacts and updating documentation. Understand AI compliance within your organization. Give senior stakeholders a complete picture of their AI to make strategic decisions. Share reports with curated audiences. We provide a comprehensive set of policies to ensure legal and regulatory conformance through pre-configured assessment.

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

AI and non AI models require risk management and oversight. Fairly is a continuous monitoring tool for advanced model governance. With Fairly, data science and cyber-security teams can easily collaborate with risk and compliance teams to ensure that models are reliable and secured. Fairly makes it simple to stay up to date with policies and regulations regarding procurement, validation, and audit of non AI, predictive AI, and generative AI. Fairly simplifies model validation and auditing by providing direct access to ground truth within a controlled environment, for both in-house models and third-party ones, without adding additional overhead to development or IT teams. Fairly's platform guarantees compliant, ethical, and secure models. Fairly helps teams identify compliance, operational, and model risks and mitigate them according to internal policies, external regulations, and monitor, report, and assess them.

Responsible AI is a business problem and not a technical problem. We solve the problem by connecting teams to one platform, allowing you to reduce risk, maximize your potential, and put your intentions into action. Cloud-based governance applications can unite every stage of your AI/ML journey. GovernML is the catalyst you need to bring AI/ML systems to the world. We offer user-friendly workflows that track the entire lifecycle of your AI journey. This is good news for your bottom line and risk mitigation. Monitaur offers cloud-based governance solutions that track your AI/ML model from policy to proof. SOC 2 Type II certified, we can enhance your AI governance and provide bespoke solutions through a single platform. GovernML is responsible AI/ML systems that are available to the world. You can now create scalable, user-friendly workflows to document the entire lifecycle of your AI journey from one platform.

Augmented intelligence can take your data-driven business to the next level. BasisAI manages the entire development process of AI systems. Complete lifecycle AI solution: From bespoke AI algorithms to production-grade AI applications and ongoing multi-year administration. Rapid time to market: From your data to scalable, containerized deployment of real-time AI engines in weeks. No black boxes. AI governance, fairness, and compliance built-in You can retain control over your enterprise data on AWS, GCP, or any other cloud infrastructure. We offer strategic guidance to help you build the right structures, frameworks, and technologies that will allow you to achieve long-term scaling. We help you move beyond algorithms and experiments to take control of your capability development through exploratory use cases sessions and system design workshops.

Our easy-to-use monitor builder allows you to create customized monitors for your machinelearning models. Get alerts for issues such as concept drift, model performance degradation and bias. Aporia can seamlessly integrate with any ML infrastructure. It doesn't matter if it's a FastAPI server built on top of Kubernetes or an open-source deployment tool such as MLFlow, or a machine-learning platform like AWS Sagemaker. Zoom in on specific data segments to track the model's behavior. Unexpected biases, underperformance, drifting characteristics, and data integrity issues can be identified. You need the right tools to quickly identify the root cause of problems in your ML models. Our investigation toolbox allows you to go deeper than model monitoring and take a deep look at model performance, data segments or distribution.

Azure AI Content Security is a platform for content moderation that uses AI to ensure your content remains safe. AI models can detect offensive or inappropriate text and images in seconds, allowing you to create better online experiences. Language models analyze multilingual texts, both in short and long form with an understanding of context, semantics, and syntax. Using the latest Florence technology, vision models can recognize images and detect objects. AI content classifiers can identify content that is sexual, violent, hateful, or self-harming with high levels granularity. The severity of content moderation is measured on a scale from low to high.

Simplified quality assurance for machine learning. Snitch eliminates all noise so you can find the most relevant information to improve your models. With powerful dashboards and analysis, you can track your model's performance beyond accuracy. Identify potential problems in your data pipeline or distribution shifts and fix them before they impact your predictions. Once you've deployed, stay in production and have visibility to your models and data throughout the entire cycle. You can keep your data safe, whether it's cloud, on-prem or private cloud. Use the tools you love to integrate Snitch into your MLops process! We make it easy to get up and running quickly. Sometimes accuracy can be misleading. Before you deploy your models, make sure to assess their robustness and importance. Get actionable insights that will help you improve your models. Compare your models against historical metrics.

You can now build what took years. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy and maintain ML in production. Superwise integrates with any ML stack, and can connect to any number of communication tools. Want to go further? Superwise is API-first. All of our APIs allow you to access everything, and we mean everything. All this from the comfort of your cloud. You have complete control over ML monitoring. You can set up metrics and policies using our SDK and APIs. Or, you can simply choose a template to monitor and adjust the sensitivity, conditions and alert channels. Get Superwise or contact us for more information. Superwise's ML monitoring policy templates allow you to quickly create alerts. You can choose from dozens pre-built monitors, ranging from data drift and equal opportunity, or you can customize policies to include your domain expertise.

Use Qlik®, Staige™, to make AI real. It will provide a trusted foundation for data, automation, actionable forecasts, and a company-wide impact. AI is not just experiments and initiatives - it's a whole ecosystem of files, scripts and results. We've partnered up with the best sources to provide you with integrations that will save time, enable better management, and validate the quality of your data. Automate the delivery and management of real-time AWS data to data lakes or warehouses, and make this data easily accessible via a governed catalogue. With our new integration with Amazon Bedrock you can easily connect foundational large-language models (LLMs), including A21 Labs Amazon Titan, Anthropic Cohere and Meta. AWS customers can leverage AI-driven insights with ease using seamless integration with Amazon Bedrock.

CyberCube's platform for analytics provides unrivalled data, signals, and models to help with cyber risk quantification. CyberCube allows (re)insurance placement, portfolio management optimization, and underwriting decisions - all powered with a state of the art cloud-based technology framework. Our clients get the best in cyber insurance analytics, models, and services. We are a trusted contributor to the industry and work with multiple stakeholders to create world-class solutions. Our team of 100's of experts in data science, cyber security and software engineering can help you unlock the business value of cyber insurance. Allows you to see the enterprise risk profiles and allow individual risk underwriting. Forward-looking models enable portfolio-level decision making.

Empowering AI governance leaders with advanced insights & risk intelligence to drive responsible AI innovation and compliance.

The cost of commercial tort litigation against a business (where benefits paid are losses plus defense attorney fees + administrative expenses, e.g. gathering documents, meeting counsel, sitting for depositions etc.). The annual cost was approximately $160 billion. The total amount was nearly $1.6 trillion over a 10-year period. We used 400 federal court complaints (no emails) to extract facts and train a deep learning model for the federal court's category civil rights-employment. We tested the model with 20,401 emails from Enron and put it in a GPU instance in Microsoft Azure. The model had never evaluated any emails before. Each true positive email can be exported to an internal investigation platform or case management platform. You can also save true positives to the UI and add them to your initial training set to retrain the model.

hx Renew empowers world-leading insurers to transform their rating, underwriting, and decision-making with agile tool development and streamlined underwriting workflows. hx Renew unlocks efficiency across the entire rating eco-system, empowering insurers with effective rating and underwriting decision. With in-model controls, you can align your entire team with business objectives and build and update raters more quickly. We provide extensive training and support to enable your team's use of Python for insurance. This will help you achieve your goals faster and maximize the potential of hx Renew.

Endgame allows you to connect user behavior with sales opportunities without the need for expensive data scientists and engineers. GTM teams are unable to connect the dots between product usage, sales opportunities, and other factors. GTM teams that have a trial or free plan don't have visibility into their trial users and signups. They also lack the ability to see sales opportunities. Revenue leaders spend countless hours trying to figure out which accounts and which users they should engage with. Reps don’t know which action will result in the best outcomes. This can lead to reps taking the wrong action or not taking any action at all. Based on real-time data signals, take immediate action with prospective and current customers. You can see which accounts and users are using your product and how far they have come. This will help you decide whether your reps should interact with them. Show your reps the opportunities and prospects that send the strongest signals to improve their performance.

Predictive modeling with Machine Learning and Explainable Ai. FICO®, Analytics Workbench™, is a comprehensive suite of state-of the-art analytic authoring software that empowers companies to make better business decisions throughout the customer lifecycle. Data scientists can use it to build superior decisioning abilities using a variety of predictive data modeling tools, including the most recent machine learning (ML), and explainable AI (xAI) methods. FICO's innovative intellectual property enables us to combine the best of open-source data science and machine learning to provide world-class analytical capabilities to find, combine, and operationalize data predictive signals. Analytics Workbench is built upon the FICO®, leading platform that allows for new predictive models and strategies to easily be put into production.

Our platform is easy to use and allows you to predict outcomes and gain clarity about complex Labor & Employment issues. You can quickly identify similar decisions based upon factors and outcomes rather than keywords. You can confidently predict the outcome, identify authorities, as well as how key factors could impact your position. To ensure the best outcome, identify, manage, and access the most recent cases. Your findings can be used to plan, create reports, or interview potential clients. Arguments based on hundreds relevant decisions can be persuasive. Allow juniors to identify key factors in court decisions. Find similar decisions by factors or outcomes. To offer fair termination packages, you can use the insights from past cases. Use unbiased reports to support your position and avoid costly disputes. Get clarity about whether to handle the matter internally or to seek external counsel.

I-underwrite delivers world class auto-underwriting. We offer a complete set of software modules that can be used to deliver an end-to-end, online insurance sales process. This includes needs analysis and quote, digital signature, auto-underwriting and up-sell or cross-sell, offer and acceptance, payment processing and reporting. Auto-underwriting software Our auto-underwriting rules engine is the foundation of our digital insurance software. It is easy to quickly and easily configure underwriting rules to auto-decision life and critical illness, disability, income protection, and medical products to meet any insurer's specific needs. The rules engine can be used as a'self-contained module' that can be integrated into an insurance's hosted environment, or as a Software – as a Service model. You can access the i-underwrite U/W engine via any electronic distribution system.

Identify, measure and correct any potential wage disparities between races/genders based on the individual pay records of similar workers. Adjust quickly to any potential discrimination issues and design a fair and equitable Reduction-In Force (RIF) Process, including furloughs and layoffs, which is less likely to be sued. EquityPath RIF, a web-based tool designed to analyze equity issues related Reduction-In Force (RIF), such as layoffs and severances, is specifically designed to analyze equity issues. It combines an intuitive user interface with sophisticated econometrics and an easy-to digest dashboard to identify, measure and correct potential discriminatory behaviors across races/genders for similar workers. EquityPath RIF enables you to respond quickly to discrimination issues and create a fair RIF process.

(Re)insurers require modeling software that provides faster analytics, deeper insights and more efficient workflows to improve underwriting, pricing and risk transfer decisions in a market that is becoming increasingly challenging. This is the benefit of using Risk Modeler™, as the foundation for your interconnected risk management lifecycle. With greater transparency, flexibility and customization, you can better understand the drivers of risk. Third-party modeling can help you reduce expense ratios, improve productivity, and gain better risk insights. Cloud-native architecture allows you to create new digital workflows that meet changing business needs. Risk Modeler is able to run more than 400 Moody's RMS and more than 300 Nasdaq models across multiple regions, perils and lines of business, using a cloud platform.

Based on the most recent statistics, choose the channel that best suits your trading style. All channels in this ranking are monitored daily by verified traders. Based on their signals, you will automatically create tasks. You can also create tasks manually based on signals and edit them in advance if you prefer to keep things under control. Smart Trade can be used to create tasks and specify take profit and stop loss on the chart. You can create a channel within the trader's workspace and generate signals. You can keep your finger on the pulse of your signals by editing, panic selling and averaging. Our service integrates seamlessly with the familiar TradingView charts. You can view the average order price, set take profit and loss levels, save your indicators, lines and settings right from them.

LexisNexis®, Attract™, scores allow insurance companies to quickly and accurately classify applicants and insureds according to their risk potential. This results in improved underwriting. Insurance carriers can use LexisNexis(r. Attract™, scores to quickly and accurately classify applicants and insureds according to their risk potency, which leads to better underwriting. With Attract™, 5.0, insurance carriers now have access to the most accurate predictive models. LexisNexis Risk Solutions, a leading provider of insurance risk solutions, has been improving rating, pricing, underwriting, and other aspects of the business for more than 20 years. These solutions are available for the commercial, home, and auto markets. The Attract™, suite of scores is known for its superior loss predictability, regulatory compliance, and ease-of-implementation that improves business outcomes. AttractTM 5.0 is the next generation of AttractTM solutions. This solution allows carriers to make better use of consumer credit information and improve underwriting efficiency.

Digital statistical information can help you understand your business and give you advice on how to improve it. Our software will centralize all relevant signals regarding your company. It is often difficult to gather and process information. The software will allow you to easily read and use the information. All the indicators are available to allow you to make informed decisions. Maarketer software offers digital intelligence that allows you to create a central location to gather all the strategic digital information you require. Digital intelligence allows you to understand your customers' behavior and provides insight into your organization.

Medius' multicloud artificial intelligence platform can unlock its full potential to provide greater than 90% accuracy and coverage for various health intelligence and risk predictions with just a few variables. Medius' multicloud artificial intelligence platform, which only requires a few health data coordinates, aggregates and mines large datasets to generate all relevant health risk or underwriting insights in seconds. This platform can assist payers and providers with their life and health needs assessments, distribution, cost optimization, and operations efficiency. Medius' UW Studio™, a complete underwriting platform, is the result of an AI revolution that has fundamentally changed the insurance landscape. Multiple science-based underwriting ensembles are used to address both business and technical requirements. They reproduce humanistic deductive reasoning with clinical accuracy.

3D printing slicing software controls all aspects of your 3D printed. It converts 3D models into instructions that your printer can understand. A simple software update can make all the difference. Better instructions equal better prints. Experts agree that 3D printing software has a greater impact on print quality than the 3D printer. Simplify3D is trusted by engineers, architects, designers, researchers, and other professionals who need to control the printing process. Software controls that unlock new possibilities and elevate their designs are a great tool for passionate entrepreneurs, makers, and designers. Students, teachers, and professors all learn one interface to control their 3D printers. Students are challenged by the extensive online resources.

The ultimate insurance claims automation solution powered by patented Blockchain Technology. Claims are a critical moment for insurance. Our solutions have been designed to automate claims for insurers and insureds with unbeatable accuracy. MediConCen, a leading insurance software, automates claims and makes insurance available to insurance companies, medical networks and clinics. It uses Hyperledger Fabric blockchain technology. We equip claim assessors using powerful AI models, expert knowledge decision rule engine and expert knowledge to detect fraud and abuse instantly. Clean cases can then be approved immediately for consistently perfect cost management. With powerful analytics for claim management, you can be in the loop.

VIVA Finance is a mobile-first lending platform. It offers loans that are underwritten primarily on employment information and not credit history. VIVA's mission, through its alternative underwriting model, is to create an inclusive financial system that expands access to affordable credit. Initiated in early 2019, VIVA's loans have been used by thousands of people to refinance their debt and meet a variety of other financial needs. Employees can get affordable, salaried-linked loans to help them manage unexpected expenses and expensive debt. Financial coaching and education for employees to help them understand their finances. Employee financial well-being can be improved by improving credit scores and saving. VIVA Finance offers personal, unsecured installment loans up to $10,000. A VIVA Finance loan has an annual percentage rate (APR), that ranges from 11.99% to 32.75% and a term of between 5 and 24.

Ada is the most popular symptom assessment application in the world, with over 10 million users and 20,000,000 completed assessments. Ada is used by thousands of people every three seconds to provide personal health guidance. Our enterprise solutions are powerful and help partners make better health decisions, reduce unnecessary costs, and triage to the appropriate care. We work with healthcare providers, insurers, payers, commissioners, life science, employers, governments, as well as non-profits. Intelligent technology is used to improve patient care and enhance clinical excellence. Your body sends you important signals about your health. Trusted medical expertise makes it easy to understand, manage, and receive care for symptoms in just minutes. Using powerful enterprise solutions, you can achieve better results. Improve health decision making, improve triage and appropriate care, and reduce unnecessary costs. Optimized for human doctors, medical guidance in the language of your choice, supporting pandemic response, and providing comprehensive coverage.

FLooP was a simple recursive block-structured language that Douglas Hofstadter invented for his book Godel Escher Bach. It has a simple subroutine structure and very simple number- and boolean handling. FLooP supports unbounded loops, unlike its cousin BLooP. This allows it to have the full power of Turing machines, making it a good candidate for many undecidability theories. FLooP's syntax is quite complex but not difficult to understand. Although Hofstadter does not mention it in GEB FLooP is very similar to early exercises exploring the computational model for "Random Access Machines". You will notice the use of "CELL(0) = 2" and similar constructs. FLooP was never meant to be more than an academic exercise. However, Perl was able to implement FLooP. It is not easy to find. S - Block-structured language type.

Collective Health is the first integrated solution that allows self funded employers to manage their plans, control costs, and care for their employees all in one place. Let us show how we can deliver better benefits through curated programs and connected administration. We are proud to serve the most happy clients and members in the insurance industry, from musicians to truck drivers to scientists. Collective Health is the choice of top self-funded employers across America. Are you a broker, consultant or trainer who helps clients to improve their healthcare strategies? Collective Health is a technology-enabled company that simplifies employee healthcare. It offers a single platform that makes it easy for everyone to get health insurance. Collective Health has nearly a quarter million members and more than 50 clients, including Driscoll's and Pinterest, Red Bull and Restoration Hardware (RH), Zendesk and many others. Collective Health is revolutionizing healthcare for forward-thinking companies.

A complete cyber defense strategy will help you work confidently and reduce risk. Today's sophisticated cyber-attacks are more sophisticated than security measures from yesterday. The problem is too serious for business owners to ignore. A single cyber breach can cause financial ruin for your business. A tailored cyber policy that is affordable and accessible is the solution. It is difficult to implement piecemeal cyber software because it is costly, complex, and difficult. All-in-one software is easy to use and implement. Advanced security software can be embedded in cyber insurance policies for critical coverage that helps manage your cyber risks. Elpha Secure is the only elephant in your room. Full coverage and first-rate software offer more robust protection for a lower price. A simplified, AI-powered underwriting process that delivers a quote right away.

The leading social selling platform for enterprise sales and marketing teams. Use data and Artificial Intelligence for awareness, conversations, and new customers. Software-with-a-Service (SwaS) solutions that combine the power of SaaS with a team of top-notch data scientists. Clean up outdated, incorrect, or incomplete records in your CRM system and enrich your entries with missing data points. Analyze your target market and monitor them for sales signals. Automate repetitive, time-consuming sales processes and ensure alignment between sales and marketing teams. Target your most important accounts by targeting them through multiple B2B marketing channels. Maximize the potential of social-selling. Integrate LinkedIn into your sales process and connect social media to your CRM system. Get the most from the data that your sales and marketing teams collect.

Sixfold eliminates the need to spend valuable time searching for 3rd party data, sorting through thousands of documents, or consulting unstructured data. Generative AI can bring accuracy, capacity, and traceability to the underwriting process. Automate the collection of data from proprietary and 3rd-party sources. Find patterns in a variety of data sources that required a person to synthesize. Upload your underwriting guide and Sixfold will follow all the rules. Increase capacity by increasing gross written premiums per underwriter. Traceability and full traceability of all underwriting decision. Automating insurance underwriting tasks is the best way to improve the process.

Boomerank makes you more visible on Google and continually optimizes the performance of your ads to increase revenue and efficiency. All this, and all of it without any effort on your part. Online marketing is easy to understand and humanize. We can help you become profitable on Google. We do small-scale work for clients. We use the right key figures to measure your success. Our mission is to increase diversity in eCommerce and give small online shops a chance to compete with the big guys. Boomerank was born. Boomerank is a personal assistant that makes complex things simple and understandable for everyone. It can be overwhelming to navigate the online world. Boomerank is free and you can try it for free. Boomerank is your personal eCommerce assistant. It will make your online shopping easier and increase your online sales without any prior knowledge.

Multiscoring FinTech Solution Online decision engine. Data analysis, behavior, score. Contact Us Our solution Decision engine Validation and data processing for the granting financial products Scoring Combination variables from different bureaus Smart queries Integration Connectivity to different sources of information, APIs, web services webhooks, database Forms White label forms are available for data collection. Administrative Console Analyze your results with statistical dashboards. Modify the rules or variables of your model. API Use our integration interface for connecting different information sources, desktop solutions as well as webs and mobile devices. information Personal, Labor and Financial information, Banks, Domiciles, Banks Score, Identity Validation Vehicles, Garnishments and Situations How we work. Analyse. Developing. Production. Agree on scope. Select information sources. Define the models. Modify the rules. Create integrations. Implement the model. All settings should be made.

ComplianceHR is the only suite of intelligent compliance apps that can be downloaded on-demand. It helps companies comply with the ever-changing federal, state, and local employment law requirements regarding minimum wage, overtime, FMLA/leave, and independent contracting.