SuperAPI AI Directory

All AI tools

35,708 results · Page 108 of 992

Atlantix

AI business

Atlantix is a full-process ecosystem for innovation commercialization, helping entrepreneurs, startup founders, and corporate innovators go from discovering technology ideas to launching ventures. The platform brings together 6,000+ cutting-edge technologies from leading U.S. universities and provides personalized technology matching, business plan generation, funding tools, legal and investment partner connections, and other services. Its core process covers six steps: find a business idea, evaluate the opportunity, create a business plan, obtain launch materials, prepare for financing, and connect with partners. The platform also provides innovation blueprints, technology readiness analysis, market insights, and 250+ contacts at accelerators, venture capital firms, and associations, aiming to simplify the path from academic research to market commercialization.

Read more

Atlas Workspace

Other AI tools

Atlas Workspace is a visual, verifiable AI research assistant for research work, claimed to be used by 10,000+ researchers. It lets users search the literature around a research question, add relevant papers to a project, and explore a paper's methods, findings, and unfamiliar concepts through an editable knowledge map; it also supports summarizing and asking follow-up questions about PDFs, web articles, and YouTube videos. Its core feature is tracing answers and claims back to original sources: citations are automatically indexed on import, and it explains how they support the argument. Users can also compare findings across papers, explore connections on a semantic map, write synthesis notes with citations, and link sources, notes, questions, and maps within the same workspace to form a literature review.

Read more

Atlassian Marketplace

Other AI tools

Teamline is an Atlassian Marketplace app for development teams, positioned as an "AI Scrum Master" for orchestrating daily standups, time tracking, and agile delivery. It can seamlessly integrate time tracking check-ins into the daily workflows of Slack and Microsoft Teams, providing consistent and accurate data records for Jira tasks. The app provides a collaborative project timeline that can dynamically adjust based on daily team feedback, improving deadline transparency and supporting agile resource planning. At the same time, it supports turning team data into editable reports and real-time insights, can generate timesheets, roadmaps, and sprint plans, and allows users to interact with an AI Agent through chat to explore metrics and trends to improve delivery. Its core capabilities include asynchronous standups, planning poker, task and to-do management, sprint and resource planning, and agile metrics such as time-to-market, throughput, cycle time, velocity, predictability, and workload balance. The app can seamlessly integrate with Jira, Slack, and MS Teams, and provides a multilingual interface. The app is supported by partners and has been used by more than 100,000 teams, including most Fortune 500 companies.

Read more

autonomous-hr-chatbot

AI agents

autonomous-hr-chatbot is an autonomous HR agent prototype built with ChatGPT, LangChain, Pinecone, and Streamlit. It can use the tools at hand to answer human resources-related queries, such as querying attendance policies, employee data, and performing mathematical calculations. The project includes the original 2023 implementation and a 2026 updated version (v2/), the latter of which uses the OpenAI Responses API agent loop and no longer relies on LangChain and Pinecone. This repository mainly serves as a reference example for enterprise-grade autonomous agents.

Read more

AutoPR

AI coding

AutoPR is an experimental automation tool based on GitHub that can autonomously generate pull requests based on issues. When a label containing AutoPR is added to an issue, the tool is triggered and attempts to automatically open a pull request in response to the requirements in the issue. It uses Guardrails to guide large language models in generating structured data that conforms to a JSON Schema, and re-requests when it does not conform. AutoPR is considered the first robot to autonomously generate pull requests, but according to the author, its success rate is about 20%, and there are several known limitations, such as possibly referencing incorrect code in other files, producing duplicate lines, calling non-existent functions, and only supporting the GitHub platform.

Read more