Business Software for AWS AI Services

A global Digital Risk Protection Platform, CTM360® identifies vulnerabilities, and detects, manages and responds to threats in the Surface, Deep & Dark web. Offered as a fully managed technology platform in the cloud, CTM360® is outside the perimeter of an organization.

It's easy to capture your competitor's prices with PricingHunter. PricingHunter is not tied to a long-term contract. You can use it for as little or as much as you like. PricingHunter allows you to track competitor prices in the way you choose. You can save money by only paying for the products you want to track. PricingHunter allows you to scale up or down as you please. We will track your online competitors as often as you want, and share dashboards and reports so you can spend less time checking, and more time making the best pricing decisions. Q: How do we track so many products at such a low cost? A: We automate. We know what you want and we can deliver it quickly, easily, and at a reasonable price.

NextGenSwitch is an innovative communication platform driven by an API that aims to transform how businesses communicate through voice and messaging, catering to organizations of all sizes. This adaptable solution encompasses a wide array of communication functionalities, such as PBX, Call Center, and Call Campaign capabilities, all within a single, scalable framework. With a focus on optimizing workflows and improving customer interactions, NextGenSwitch features seamless integration with CRM systems to enhance data handling and operational efficiency. The platform's Click-to-Call functionality further simplifies the process of making outbound calls, enabling users to initiate calls effortlessly from their CRM, website, or other digital interfaces. Additional features of NextGenSwitch include advanced Call Routing and AI-driven IVR, voicemail and call recording options, hotdesking and extensions, as well as tools for conducting campaigns and surveys. Further enhancing its capabilities are Automatic Call Distribution (ACD), real-time monitoring and analytics, AI assistant integration, and a Twilio-like API, ensuring businesses have all the tools they need for effective communication. Overall, NextGenSwitch stands out as a comprehensive solution tailored to meet the evolving demands of modern business communication.

Amazon Transcribe simplifies the integration of speech-to-text features for developers looking to enhance their applications. Analyzing and searching audio data presents significant challenges for computers, making it essential to convert spoken words into written format for effective usage in various applications. Traditionally, businesses had to collaborate with transcription services that imposed costly contracts and were complicated to integrate with existing technology, making the transcription process cumbersome. Moreover, many of these services relied on outdated technologies that struggled to handle specific situations, such as the low-quality audio typical in contact center environments, leading to decreased accuracy. In contrast, Amazon Transcribe utilizes an advanced deep learning technique known as automatic speech recognition (ASR) to convert speech into text efficiently and with high precision. This service is versatile, allowing for the transcription of customer service interactions, the automation of subtitling, and the creation of metadata for media files, ultimately resulting in a comprehensive and searchable archive of content. With its user-friendly design and robust capabilities, Amazon Transcribe stands out as an essential tool for developers aiming to enhance the functionality of their applications.

Flywheel provides comprehensive data management solutions to researchers looking to improve productivity and collaboration in imaging research and clinical trials, multi-center studies, and machine learning. Flywheel provides end-to-end solutions that streamline data ingestion and curate it to common standards. We also automate processing and machine-learning pipelines. Our platform allows for secure collaboration in the life sciences, clinical, academic, as well as AI, industries. Cross-platform data and algorithm integration, secure and compliant data discovery among a global network, and cloud-scalable and on-premise computational workflows to support research and clinical applications. Flywheel is a data curation platform that supports multi-modality research. It can manage a wide range of data types, including digital pathology, imaging files, clinical EMR data and omics, as well as instruments.

Wordspilot - Your Complete AI Toolkit includes AI Copywriting Assistant and AI Voiceover. It is a writing assistant that can help SEO content creators and Bloggers as well as Marketers, Freelancers, and others with text-to image or Art generator tools in 37 different languages. It includes 45+ prebuilt templates for writing. These templates include tools that make it easier to create, edit, and publish articles, blogposts, ads, landing page, eCommerce product descriptions and social media posts. AI Code is also available. Users can generate code using any programming language. Our interactive AI Chat will allow your users the same freedom to ask questions and receive any answer they desire, as with ChatGPT. OpenAi Whisper allows users to create transcriptions of audio and video files. Your users can also create AI Voiceovers using more than 540 voices and 140 languages.

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

NoPorts, a VPN alternative, allows users to create an encrypted IP tunnel between devices without the need for exposed port numbers. This creates a zero-trust network. It provides true end to end encryption while empowering organisations to leverage existing protocols such as RDP, Citrix and VPN while mitigating their inherent security risks. How it Works: NoPorts uses a unique approach that eliminates open network ports.   It establishes secure, encrypted connections between devices using a combination of techniques, often involving a combination of: - Edge Computing: Processing data closer to the source to reduce latency and improve security.   - Cloud Services: Utilizing cloud infrastructure for secure communication and data storage. - Cryptography: Employing strong encryption algorithms to protect data in transit and at rest.   Benefits: - Enhanced Security: Significantly reduces the risk of cyberattacks by eliminating the need for open ports.   - Improved Privacy: Protects your devices and data from unauthorized access. - Simplified Network Management: Reduces the complexity of network administration.   - Increased Flexibility: Enables remote access from anywhere with an internet connection.  

SecureTrust’s ZTX Platform combines cutting-edge cybersecurity tools to protect businesses from the increasing range of cyber threats. With integrated features such as SASE, XDR, SIEM, and RMM, ZTX provides robust security across all digital environments, from endpoints to the cloud. Its Zero Trust approach ensures that only verified users and devices can access critical assets, continuously enforcing security policies with minimal friction. ZTX is a fully managed solution, offering automated patching, real-time monitoring, and seamless compliance management, which reduces complexity and enhances security across remote and hybrid infrastructures.

RhinoAgents serves as a no-code platform for AI workforce solutions, enabling a diverse range of users, from startups to large corporations, to create and implement intelligent agents across various sectors such as HR, IT, real estate, recruitment, and healthcare. By utilizing a straightforward prompt-based method or a user-friendly drag-and-drop workflow builder, organizations can develop AI agents designed to automate mundane tasks, optimize processes, and improve customer interactions. This innovative approach allows businesses to substitute extensive hiring with AI agents, achieving equivalent outcomes at just a quarter of the expense. These digital agents function similarly to traditional employees, efficiently managing tasks such as onboarding, customer service, lead qualification, scheduling, property inquiries, healthcare FAQs, and IT support, among others. Moreover, the platform offers remarkable versatility across different industries, effortless usability without coding skills, engagement through multiple channels, the ability to build a custom knowledge base, and tools for tracking analytics and return on investment. Overall, RhinoAgents empowers businesses to harness the power of AI, significantly enhancing productivity and lowering operational costs.

VerifiedThreat is a cutting-edge cybersecurity platform powered by AI that consistently assesses real-world cyber risks through autonomous threat emulation, moving beyond mere reliance on vulnerability scanning or theoretical intelligence. This innovative platform utilizes agentic AI to mimic attacker behavior on an organization’s external attack surface, effectively confirming the exploitability of vulnerabilities and delivering findings grounded in empirical evidence that security, DevOps, compliance, and risk teams can confidently act upon. In contrast to conventional tools that often produce an overwhelming number of potential issues, VerifiedThreat focuses on highlighting only those verified threats that are substantiated by clear proof, thereby aiding organizations in prioritizing their remediation efforts while simultaneously alleviating alert fatigue. By concentrating on actionable insights, VerifiedThreat enhances the overall efficiency of cybersecurity measures within organizations.

SignalPGx serves as a worldwide platform for pharmacogenomics reporting and medication intelligence, catering to laboratories, hospital systems, provider networks, clinics, pharmacy partners, and healthcare organizations. This innovative platform transforms genotype data into medication guidance that is both physician-reviewed and supported by evidence, utilizing white-label PGx reports, SignalAI-assisted interpretation, a Medication Intelligence Graph, Living Patient Passport, medication simulation, and continuous reanalysis. The system is compatible with various file formats, including VCF, Agena MassARRAY, CSV, and custom lab files, and offers EHR-ready integrations such as SMART on FHIR, HL7/FHIR, CDS Hooks, and REST APIs. Designed for enterprise-level healthcare implementation, SignalPGx features tenant isolation, role-based access control, audit logging, encryption, and a scalable multi-region infrastructure hosted on AWS, ensuring that healthcare providers can rely on it for comprehensive medication management. Furthermore, its robust architecture guarantees seamless operation and data security for all users, enhancing the overall efficiency of healthcare delivery.

The Iguazio AI Platform provides a complete AI workflow in a single ready-to-use platform that includes all the required building blocks for building, deploying, operationalizing, scaling and de-risking ML and GenAI applications in live business environments. Highlights: - From POC to production - Get your AI projects out of the lab and into production with full automation and auto-scaling capabilities. - LLM Customization - Responsibly fine-tune models with RAG, RAFT and more. Improve model accuracy and performance at minimal cost. - GPU Provisioning - Optimize GPU resources by scaling usage up and down as needed. - Hybrid Deployment - Including AWS cloud, AWS GovCloud and AWS Outposts. - Governance - Monitor AI applications, address regulation needs, keep PII secure, mitigate bias and more

Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.

Amazon Polly is a service designed to convert written text into realistic speech, enabling the development of applications that can communicate vocally and fostering the creation of innovative speech-enabled products. Utilizing state-of-the-art deep learning technologies, Polly's Text-to-Speech (TTS) service produces natural-sounding human voices. With a variety of lifelike voices available in numerous languages, developers can create speech-enabled applications that are functional in diverse global markets. Beyond the Standard TTS voices, Amazon Polly also provides Neural Text-to-Speech (NTTS) voices, which enhance speech quality significantly through a novel machine learning technique. In addition, Polly's Neural TTS supports two distinct speaking styles: a Newscaster style designed for news narration and a Conversational style that is perfect for interactive communication scenarios such as telephony. This flexibility allows developers to tailor the auditory experience to fit their specific application needs.

Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.

Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety. Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.

Amazon Forecast is an entirely managed service that employs machine learning techniques to provide exceptionally precise predictions. In the contemporary business landscape, organizations utilize a range of tools, from basic spreadsheets to intricate financial planning applications, in their quest to accurately project future outcomes such as product demand, resource allocation, and overall financial results. These forecasting tools generate predictions by analyzing historical data known as time series data. For instance, they might estimate future demand for raincoats based solely on past sales figures, operating under the premise that future performance will mirror historical trends. However, this methodology can falter when tasked with managing extensive datasets that exhibit irregular patterns. Moreover, it often struggles to seamlessly integrate evolving data streams—like pricing, discounts, web traffic, and workforce numbers—with pertinent independent variables, such as product specifications and retail locations. As a result, businesses seeking reliable forecasts may find themselves facing significant challenges in adapting to the complexities of their data.

Transform your existing infrastructure into an asset for the entire company with a platform that makes identity a business enabler. RadiantOne is a cornerstone for complex identity infrastructures. Using intelligent integration, you can improve your business outcomes, security and compliance posture, speed-to-market and more. RadiantOne allows companies to avoid custom coding, rework and ongoing maintenance in order to integrate new initiatives with existing environments. The deployment of expensive solutions is not on time or within budget, which negatively impacts ROI and causes employee frustration. Identity frameworks which cannot scale are a waste of time and resources. Employees struggle to provide new solutions for users. Rigid and static systems cannot meet changing requirements. This leads to duplication of efforts and repeated processes.

Amazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents.

Create, implement, and oversee fraud detection algorithms even if you lack prior machine learning expertise. Utilize your historical data alongside over two decades of Amazon's expertise to develop a precise and tailored fraud detection solution. Begin identifying fraudulent activities right away, effortlessly improve your models with personalized business rules, and apply the outcomes to produce essential predictions. With Amazon Fraud Detector, a fully managed service, customers can swiftly recognize and address potential fraudulent actions, significantly increasing their ability to combat online fraud. This service not only simplifies the model-building process but also allows for ongoing adjustments to keep pace with evolving fraud tactics.

Compliance Warden is built for modern teams that want speed and security together. Every time a developer opens a pull request, our platform scans the code in real time against industry standards like SOC 2, ISO 27001, PCI DSS, and NIST. Developers get inline, AI-powered fixes right in GitHub or VS Code, while compliance officers gain instant visibility through dashboards, scoring, and audit-ready reports. With support for AWS, Azure, Terraform, CloudFormation, Pulumi, and more, Compliance Warden makes compliance continuous, proactive, and developer-friendly.

Amazon Augmented AI (Amazon A2I) simplifies the creation of workflows necessary for the human evaluation of machine learning predictions. By providing an accessible platform for all developers, Amazon A2I alleviates the burdensome tasks associated with establishing human review systems and overseeing numerous human reviewers. In various machine learning applications, it is often essential for humans to assess predictions with low confidence to confirm their accuracy. For instance, when extracting data from scanned mortgage applications, human intervention may be needed in instances of subpar scans or illegible handwriting. However, developing effective human review systems can be both time-consuming and costly, as it requires the establishment of intricate processes or workflows, the development of bespoke software for managing review tasks and outcomes, and frequently, coordination of large teams of reviewers. This complexity can deter organizations from implementing necessary review mechanisms, but A2I aims to streamline the process and make it more feasible.

Amazon Personalize allows developers to create applications utilizing the same machine learning (ML) technology that powers real-time personalized recommendations on Amazon.com, all without requiring any prior ML knowledge. This service simplifies the development of applications that can provide a variety of personalized experiences, such as tailored product suggestions, reordering of product listings based on user preferences, and individualized marketing campaigns. As a fully managed ML service, Amazon Personalize surpasses traditional static recommendation systems by training, tuning, and deploying custom ML models that offer highly tailored recommendations for various sectors, including retail and media. The platform takes care of all necessary infrastructure, managing the complete ML pipeline, which encompasses data processing, feature identification, selection of optimal algorithms, and the training, optimization, and hosting of the models. By streamlining these processes, Amazon Personalize empowers businesses to enhance user engagement and drive conversions through advanced personalization techniques. This innovative approach allows companies to leverage cutting-edge technology to stay competitive in today's fast-paced market.

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.