Top Expert.ai Developer Alternatives

Claude

claude.ai

Claude by Anthropic is a next generation AI assistant built by Anthropic and trained to be safe, accurate, and secure to help you do your best work.

RunLve

web.runlve.com

Runlve sits at the center of the AI revolution. Runlve provides data science tools, MLOps, and data & model management to empower our customers and community with AI capabilities to propel their projects forward.

Box

box.com

Box, Inc. (formerly Box.net), is an American internet company based in Redwood City, California. The company focuses on cloud content management and file sharing service for businesses. Official clients and apps are available for Windows, macOS, and several mobile platforms. Box was founded in 2005. Box makes it easy for businesses to collaborate, share and manage content online.

Hugging Face

huggingface.co

The AI community building the future. Build, train and deploy state of the art models powered by the reference open source in machine learning.

scite.ai

Scite is a tool used to help researchers better discover and understand scientific articles via Smart Citations. Smart Citations allow users to see how a scientific paper has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim. Search over 800m Smart Citations. Scite is a platform that uses deep learning, natural language processing, and a network of experts to identify and promote reliable research by evaluating the veracity of scientific claims. We can automatically classify scientific citations as supporting, refuting, or mentioning, thus enabling us to score the veracity of scientific reports, researchers, institutions, journals, and scientific fields using a measure we call scite.

Databricks

databricks.com

Databricks is a company founded by the original creators of Apache Spark. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. In addition to building the Databricks platform, the company is co-organizing massive open online courses about Spark and runs the largest conference about Spark - Spark Summit.

Deepnote

deepnote.com

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share . All of this is done through a powerful, browser-based UI that runs in the cloud. Features include: * Sharing notebooks and projects via URL * Inviting others to view, comment and collaborate, with version control * Publishing notebooks with visualizations for presentations * Sharing datasets between projects * Full linux terminal access * Code completion * Automatic python package management * Importing from github * PostgreSQL DB connection

Abacus.AI

abacus.ai

The world's first AI-assisted data science platform to build ML systems and AI agents at scale. Build enterprise AI with our LLMs and novel NN techniques Organizations, including several fortune 500s, have seen an increase of 5-20% on key metrics such as revenue, profit, and cash flow by putting models using Abacus.AI in production. Abacus.AI also does foundational research in key applied AI areas and our world-class research lab routinely publishes at Tier A conferences, including NeurIPs, ICML, and ICLR.

MonkeyLearn

monkeylearn.com

MonkeyLearn is a Text Analysis platform that allows companies to create new value from text data. It provides a simple graphical interface where users can create customized text classification and extraction analysis by training machine learning models such as sentiment analysis, topic detection, keyword extraction, and more. MonkeyLearn can be integrated with hundreds of other applications through its direct integrations and open API. All of that without the need of roping in developers or data scientists! MonkeyLearn was founded by Raul Garreta and was backed by 500 Startups, Uncork Capital, Bling Capital, Garuda Ventures, Long Journey Ventures and luminary angel investors including Alex Solomon (Pagerduty), Howie Liu (Airtable), Anthony Goldbloom (Kaggle), Henry Ward (Carta), Des Traynor and Eoghan McCabe (Intercom). In Feb 2022, MonkeyLearn was acquired by Medallia to expand its AI capabilities.

Alibaba Cloud

alibabacloud.com

Alibaba Cloud is one of the world's largest cloud computing companies, providing scalable, secure, and reliable cloud computing services globally to accelerate digitalization empowered by comprehensive cloud products and solutions.

AfforAI

afforai.com

Afforai is an AI chatbot that searches, summarizes, and translates info from multiple sources to produce trustworthy research. Feed lengthy research documents to stacks of dry compliance requirements and extract the key findings you need. Afforai is your second brain, helping you distill infinite knowledge to produce trustworthy research. Researchers use us to search, summarize, and distill information from thousands of documents, regardless of the language and cultural barriers.

Synthesys

synthesys.io

Synthesys platform was developed by season voice and video actors together with linguistic and AI professionals who recognized the need for producing AI audiovisual content. We believe that Personalized content and Synthetic media are the future of content. Creating a culture where valuable content is shared quickly and easily is an integral part of our mission. Whether it's for freelancers, businesses, or and any other group of people. AI Voiceover and AI Video Generator. Produce Your Next Professional audiovisual content without spending money on hiring actors, cameras, or audio equipment

Lightning AI

lightning.ai

PyTorch - The platform for teams to build AI, without the headaches. From idea to models, Lightning fast. Code together. Prototype. Train on GPUs. Scale. Serve. From your browser - with zero setup. AI Studio is your laptop on the cloud. Zero setup. Always ready. Persistent storage and environments. Code on CPU. Debug on GPU. Scale to multi-node. Run sweeps, jobs and more. Scale models with PyTorch Lightning, Fabric, Lit-GPT, torchmetrics and more.

Obviously AI

obviously.ai

Obviously AI is a no-code tool designed to simplify the process of data science. It packs in the functionalities of machine learning model building, explaining results, and predicting outcomes, all within a single interface. Models can be built and deployed directly from the platform in minutes, saving considerable time compared to traditional coding methods. It supports various forms of prediction including classification for factors such as churn, lead conversion, and loan repayment, regression for outcomes like sales, dynamic pricing, and yield, and time series for predicting quantities over time such as sales in the coming months or stock prices. The tool's features extend beyond model building. It enables quick deployment of AI models, real-time API integration for making predictions on the fly in apps, visualization of prediction data in other tools like PowerBI or Looker, automated model monitoring, and powerful process automation capabilities via Zapier. The software also includes the support of a dedicated data science expert to assist with team needs such as data merging, enrichment, cleaning and other statistical tasks. Furthermore, users can integrate Obviously AI with other tools such as Zapier, Airtable, Dropbox, and Salesforce to enhance their services.

Anaconda

anaconda.com

With more than 45 million users and 250,000 organizations using the platform, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. The Company pioneered the use of Python for data science, championed its vibrant community, and continues to steward open-source projects that make tomorrow’s AI innovations possible. Our enterprise-grade and workstation solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

Clarifai

clarifai.com

Clarifai is an independent artificial intelligence company that specializes in computer vision, natural language processing, and audio recognition. One of the first deep learning platforms having been founded in 2013, Clarifai provides an AI platform for unstructured image, video, text, and audio data. Its platform supports the full AI lifecycle for data exploration, data labeling, model training, evaluation, and inference around images, video, text, and audio data. Headquartered in Washington DC, Clarifai uses machine learning and deep neural networks to identify and analyze images, videos, text, and audio automatically. Clarifai enables users to implement AI technology into their products via API, Mobile SDK, and/or on-premise solutions.

Observable

observablehq.com

Observable is an end-to-end solution that helps developers create and deploy expressive, performant data apps, dashboards, and reports. Unlike legacy BI tools, Observable allows developers to build dashboards using code, so they can develop custom reports and discover deeper, more nuanced insights. Builders can iterate and explore data in live, collaborative notebooks.Then, using the open-source Observable Framework, they can create instantly loading data apps locally, using any language or library. It’s easy to securely deploy and host data apps on Observable. We take care of SSO, workspace management, audit logs, and more — so developers can focus on building the best data apps their team has ever seen. Better dashboards, data apps, and reports are built with code. The best ones are created with Observable.

Iris.ai

iris.ai

Iris.ai is one of the world’s leading start-ups in the research and development of artificial intelligence (AI) technologies. Founded in 2015, the start-up offers an award-winning AI engine for scientific text understanding. The company uses Natural Language Processing/Machine Learning to review massive collections of research papers or patents: find the right documents, extract all their key data or identify the most precise pieces of knowledge. Applied to literature reviews, data extraction, document summarization, competitive intelligence or any other task involving thousands of documents like papers or patents, R&D professionals and students no longer waste time on tasks the Iris.ai tools can do for them. Iris.ai collaborates both with innovation-oriented universities and corporate customers, and contributes to many joint research projects fostering Open Science and innovation.

Landing AI

landing.ai

Computer Vision Made Super Easy. Create and deploy your computer vision system in minutes. No complex programming or AI experience needed.

OpenText

opentext.com

OpenText Corporation (also written opentext) is a Canadian company that develops and sells enterprise information management (EIM) software.OpenText, headquartered in Waterloo, Ontario, Canada, is Canada's largest software company as of 2014 and recognized as one of Canada's top 100 employers 2016 by Mediacorp Canada Inc.OpenText software applications manage content or unstructured data for large companies, government agencies, and professional service firms. OpenText aims its products at addressing information management requirements, including management of large volumes of content, compliance with regulatory requirements, and mobile and online experience management.OpenText employs over 14,000 people worldwide and is a publicly traded company, listed on the NASDAQ (OTEX) and the Toronto Stock Exchange (OTEX).

Hex

hex.tech

Hex is a platform for collaborative analytics and data science. It combines code notebooks, data apps, and knowledge management, making it easy to use data and share the results. Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Use SQL, Python and R together or alone. Publish work internally or externally as interactive data apps with drag-and-drop in responsive layouts anyone can use. Leverage a full library of UI components with instant publishing and get live commenting for a robust user experience. Build organizational knowledge with Hex by allowing anyone to discover and use data.

Cohere

cohere.com

Cohere is the leading AI platform for enterprise. Our world-class AI is uniquely suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy. Cohere’s platform is cloud-agnostic, accessible through API as a managed service, and can be deployed on virtual private cloud (VPC) or even on-site to meet companies where their data is, offering the highest levels of flexibility and control. Founded by Google Brain alumni and a co-author of the seminal Transformer research paper, Cohere is on a mission to transform enterprises and their products with AI that unlocks a more intuitive way to generate, search, and summarize information than ever before. We are backed by group of global institutional and strategic investors including Index Ventures, Oracle, NVIDIA, Salesforce Ventures, Inovia Capital, DTCP, Mirae Asset, Radical Ventures, Section 32, and Tiger Global, as well as several AI luminaries, including Geoffrey Hinton, Jeff Dean, Fei-Fei Li, Pieter Abbeel, and Raquel Urtasun.

v7labs.com

V7 is an AI data engine designed for computer vision and generative AI applications. The platform provides an infrastructure for enterprise training data that includes labeling, workflows, datasets, and has a feature for human-in-the-loop training. It offers multiple annotation properties to improve the quality of data for AI models. With features like auto annotation, DICOM annotation for medical imaging, dataset management, and model management, V7 automates and streamlines various tasks. Its image and video annotation tools are designed to improve the precision of data labelling. Additionally, it enables the building and automation of custom data pipelines and has tools for automating optical character recognition (OCR) and intelligent document processing (IDP) workflows.V7 allows users to outsource annotation tasks. It can be used across various industries such as agriculture, automotive, construction, energy, food & beverage, healthcare, and more. It offers collaboration features for real-time team annotation and provides labeler and model performance analytics.Further, V7 also facilitates annotation and model training workflows to be more efficient through an intuitive user interface. With its enhanced AutoAnnotate feature, it accelerates the speed and accuracy of annotations. The platform integrates with AWS, Databricks, and Voxel51, among others, and supports a range of data types including video, image, and text data.

TensorFlow

tensorflow.org

TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. It was developed by the Google Brain team for Google's internal use in research and production.

Red Hat

redhat.com

Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies.

ReText.AI

retext.ai

ReText.AI is a tool to generate and rephrase any text. Use ReText.AI to improve text quality with artificial intelligence.

JADBio

jadbio.com

JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end machine learning platform with a wealth of capabilities, ranging from smart feature selection to the reuse of predictive models. JADBio’s healthcare purpose-built platform provides leading-edge AI tools and automation capabilities, enabling life-science professionals to build and deploy accurate and explainable predictive models with speed and ease, even if they have no data science expertise. The platform supports preprocessing and imputation of missing values; it selects the features and modeling, tunes for hyper-parameters, and effectively tests thousands of algorithmic configurations to identify the best ones to produce the final ML model. The platform estimates its predictive performance and produces a wealth of visualizations and reports. Customers have the ability to select multiple selected feature subsets that lead to equally predictive models, build their own advanced custom models using JADBio’s extensive content library, or take off the shelf models and customize them as their own. All produced models can be downloaded in executable form, applied to an external validation set, or run manually by feeding-in the observed value of the selected features. JADBio’s library contains thousands of algorithms and pre-built models that can predict common healthcare issues, but also novel features like causal discovery or survival prediction and other time-to-event outcomes. The pre-built elements and AutoML capabilities of JADBio provide a low-code option for health-data scientists, bioinformaticians, and organizations without internal data science expertise to analyze their health data easily and affordably. Meanwhile, the JADBio REST API allows for advanced users to leverage JADBio’s capabilities in their own applications or to automate their workflows and processes. By providing an end-to-end platform purpose-built for life-scientists, backed by research and development in Europe’s largest research centers, we allow customers to utilize their ever-growing biomedical data and put them into production within minutes.

Kili Technology

kili-technology.com

Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there?

Enago Read

read.enago.com

Enago Read (previously Raxter.io) is an AI-powered online Reading Assistant that helps academic researchers to boost their productivity by adapting to their evolving subjective needs throughout their research life-cycle. Enago Read enables the researchers to (i) discover, understand, and review research-related resources, (ii) easily connect their newly developed insights with their previous reviews and current work-in-progress, and (iii) seamlessly disseminate and discuss their findings within the team. Enago Read is a part of Enago, a multinational corporation and a global leader in consulting and language services. Enago has assisted over 2 million researchers in more than 125 countries to enhance their research output and publication success. Using the expertise of its global workforce of 3000 scientists, Enago has developed a robust ecosystem of services and cutting-edge AI products for researchers, publishers, societies, universities, and government research bodies.

IBM

ibm.com

IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.