Best Artificial Intelligence Software for AWS Lambda
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Compare the Top Artificial Intelligence Software that integrates with AWS Lambda as of November 2024
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This a list of Artificial Intelligence software that integrates with AWS Lambda. Use the filters on the left to add additional filters for products that have integrations with AWS Lambda. View the products that work with AWS Lambda in the table below.
What is Artificial Intelligence Software for AWS Lambda?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for AWS Lambda currently available using the table below. This list is updated regularly.
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1
Amazon CodeGuru
Amazon
Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality. -
2
AWS Chatbot
Amazon
AWS Chatbot is an interactive agent that makes it easy to monitor and interact with your AWS resources in your Slack channels and Amazon Chime chat rooms. With AWS Chatbot you can receive alerts, run commands to return diagnostic information, invoke AWS Lambda functions, and create AWS support cases. AWS Chatbot manages the integration between AWS services and your Slack channels or Amazon Chime chat rooms helping you to get started with ChatOps fast. With just a few clicks you can start receiving notifications and issuing commands in your chosen channels or chat rooms, so your team doesn’t have to switch contexts to collaborate. AWS Chatbot makes it easier for your team to stay updated, collaborate, and respond faster to operational events, security findings, CI/CD workflows, budget, and other alerts for applications running in your AWS accounts. -
3
Snyk
Snyk
Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.Starting Price: $0 -
4
Amazon Polly
Amazon
Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly's Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech. With dozens of lifelike voices across a broad set of languages, you can build speech-enabled applications that work in many different countries. In addition to Standard TTS voices, Amazon Polly offers Neural Text-to-Speech (NTTS) voices that deliver advanced improvements in speech quality through a new machine learning approach. Polly’s Neural TTS technology also supports two speaking styles that allow you to better match the delivery style of the speaker to the application: a Newscaster reading style that is tailored to news narration use cases, and a Conversational speaking style that is ideal for two-way communication like telephony applications. -
5
BentoML
BentoML
Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.Starting Price: Free -
6
n8n
n8n
Build complex automations 10x faster, without fighting APIs. Your days spent slogging through a spaghetti of scripts are over. Use JavaScript when you need flexibility and UI for everything else. n8n allows you to build flexible workflows focused on deep data integration. And with sharable templates and a user-friendly UI, the less technical people on your team can collaborate on them too. Unlike other tools, complexity is not a limitation. So you can build whatever you want — without stressing over budget. Connect APIs with no code to automate basic tasks. Or write vanilla Javascript when you need to manipulate complex data. You can implement multiple triggers. Branch and merge your workflows. And even pause flows to wait for external events. Interface easily with any API or service with custom HTTP requests. Avoid breaking live workflows by separating dev and prod environments with unique sets of auth data.Starting Price: $20 per month -
7
Nekton.ai
Nekton.ai
Just use plain English to describe your workflow steps. If the step can be automated, Nekton AI will write automation code for you and run it in the cloud. It's easy to get started, and you don't need to learn any complicated tools. Nekton integrates with thousands of services and can automate different business and personal workflows. Collect input from users and use it in automation. Send a link to your workflow to others, so they can run it. No sign-ups are required. Nekton AI can automate highly-customized tasks, and you don't need to learn complex platforms or hire developers. Mix manual and automated steps in a workflow, and automate things gradually as needed. Automation runs in the cloud, so you don’t need to set up and maintain any infrastructure. Run automation locally on your computer or use services that are not accessible from the Internet. Process small-to-medium amounts of data.Starting Price: $9 per month -
8
Quickwork
Quickwork
Enterprises use Quickwork to build simple and complex workflows, create and publish secure APIs, and manage conversational interactions with customers, employees, and partners to provide a great user experience. Quickwork provides an all-in-one platform with the tools and services you need to build powerful & scalable integrations, serverless APIs, conversational experiences, and a lot more. Simply drag and drop the applications you wish to use to build powerful integrations without writing a single line of code. Choose from 1,000s of business, consumer, AI, analytics, messaging, and IoT apps to create an automated workflow you can imagine. Convert any workflow into an API with Quickwork’s single-click API management. Share your APIs securely with built-in authentication mechanisms and scale elastically with our serverless infrastructure. Build and manage real-time conversational and messaging workflows with human agents, chatbots, and IoT devices across multiple channels.Starting Price: $20 per month -
9
Fleak
Fleak
Fleak is a low-code serverless API builder for data teams that requires no infrastructure and allows you to instantly embed API endpoints to your existing modern AI & data tech stack. Start by configuring the essential components of your data workflow. With Fleak, you can transform data, generate text embeddings, and connect to vector databases, all in just a few steps. Fleak's intuitive tools eliminate complexity, helping you build workflows efficiently without the need for complex setups. Add and configure nodes to build your workflow, supporting data types like JSON, SQL, CSV, and plain text. Customize your workflow steps with flexible options to handle various data transformations. Test your workflow and preview results instantly to ensure accuracy before moving forward. Once your workflow is built, Fleak allows you to integrate seamlessly with large language models, databases, and other essential tools.Starting Price: $29 per month -
10
Bloomreach
Bloomreach
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include: Engagement, a marketing automation platform; Discovery, an e-commerce search solution; Content, a headless CMS; and Clarity, AI-powered conversational shopping. The company has multiple AI patents and serves global brands that include Williams-Sonoma, Bosch, Puma, and Marks & Spencer. -
11
Amazon Lex
Amazon
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). With Amazon Lex, you can build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. -
12
Amazon Sumerian
Amazon
Bring a new dimension to your web and mobile applications with Amazon Sumerian. 3D immersive experiences are breathing new life into user experiences on the web, increasing customer engagement with brands and improving productivity in the workplace. Amazon Sumerian makes it easy to create engaging 3D front-end experiences and is integrated with AWS services to provide easy access to machine learning, chatbots, code execution and more. As a web-based platform, your immersive experiences are accessible via a simple browser URL and are able to run on popular hardware for AR/VR. One-click host your 3D experience using AWS Amplify to deploy your scenes anywhere. Sumerian Hosts are available open source on GitHub for easy integration with your Babylon.js and Three.js applications. Easily create and embed 3D scenes into new or existing web pages with Babylon.js. -
13
Amazon Lookout for Metrics
Amazon
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes. -
14
Saagie
Saagie
The Saagie cloud data factory is a turnkey platform that lets you create and manage all your data & AI projects in a single interface, deployable in just a few clicks. Develop your use cases and test your AI models in a secure way with the Saagie data factory. Get your data and AI projects off the ground with a single interface and centralize your teams to make rapid progress. Whatever your maturity level, from your first data project to a data & AI-driven strategy, the Saagie platform is there for you. Simplify your workflows, boost your productivity, and make more informed decisions by unifying your work on a single platform. Transform your raw data into powerful insights by orchestrating your data pipelines. Get quick access to the information you need to make more informed decisions. Simplify the management and scalability of your data and AI infrastructure. Accelerate the time-to-production of your AI, machine learning, and deep learning models. -
15
Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. -
16
Amazon SageMaker Debugger
Amazon
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values. -
17
Neum AI
Neum AI
No one wants their AI to respond with out-of-date information to a customer. Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud. -
18
Ikigai
Ikigai
Model improvement and incremental model updates scenario analysis through simulations using historical data. Collaborate easily with data governance, access management, and version control. Ikigai’s out-of-the-box integrations make it easy to work with all kinds of tools that are already part of your workflows. Plug into almost any data source you can think of with Ikigai’s 200+ connectors. Want to push your ML pipeline to a website or dashboard? Just integrate directly using Ikigai’s web integrations. Use triggers to run data synchronizations and retrieve updates each time you run a data automation flow. Hook into your own APIs, or create APIs for your own data stack to integrate seamlessly with Ikigai. -
19
GPURich
GPURich
We deploy AI Agents that scan the world's GPU providers and notify you once found. We'll email you once the GPU is ready, you can direct SSH access the machine and it is yours until you release it.Starting Price: $250 per month -
20
StackGen
StackGen
Generate context-aware, secure IaC from application code without code changes. We love infrastructure as code, but that doesn’t mean there isn’t room for improvement. StackGen uses an application’s code to generate consistent, secure, and compliant IaC. Remove bottlenecks, liabilities, and error-prone manual processes between DevOps, developers, and security to get your application to market faster. Allow developers a better, more productive experience without becoming infrastructure experts. Consistency, security, and policy guardrails are incorporated by default when IaC is auto-generated. Context-aware IaC is auto-generated, with no code changes required, supported, and rightsized with least-privileged access controls. No need to rebuild your pipelines. StackGen works alongside your existing workflows to remove silos between teams. Enable developers to auto-generate IaC that complies with your provisioning checklist. -
21
Amazon CodeWhisperer
Amazon
Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.
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