AI Tools

Modern recruiting platform with AI-powered candidate sourcing and matching. Helps teams find, engage, and hire top talent. Includes applicant tracking, interview coordination, and offer management. Provides analytics on hiring pipeline. Good for companies wanting data-driven hiring. Helps teams save time on repetitive hiring tasks and make better decisions. Includes collaboration tools for hiring managers and interviewers. Provides insights into hiring pipeline health and candidate quality. Integrates with your existing tools and workflows. Supports both remote and in-office hiring.

AI platform for legal document review and due diligence. Reads and understands contracts across languages with high accuracy.

Conversational recruiting AI (Olivia) that screens candidates, schedules interviews, and answers applicant questions 24/7 via chat.

Talent experience platform using AI to personalize job recommendations, automate screening, and improve candidate and employee journeys.

AI talent assessment platform using behavioral science games to match candidates to roles based on cognitive and emotional traits.

HR, IT, and finance platform with AI-powered onboarding, payroll automation, and employee data management in one system.

AI legal drafting tool built for lawyers. Reviews contracts, suggests clauses, and flags risky language directly inside Microsoft Word.

AI-powered writing platform that optimizes job descriptions and recruiting content for better candidates. Analyzes language to predict bias and fairness. Suggests wording improvements to attract diverse candidates. Good for recruiting teams wanting inclusive hiring. Helps teams save time on repetitive hiring tasks and make better decisions. Includes collaboration tools for hiring managers and interviewers. Provides insights into hiring pipeline health and candidate quality. Integrates with your existing tools and workflows. Supports both remote and in-office hiring.

AI features built into Workday HCM for workforce planning, skills matching, anomaly detection in payroll, and HR process automation.

An AI platform for generating high-converting advertising creatives at scale, producing complete ad packages for Facebook, Instagram, Google Display, LinkedIn, and other ad networks. For any product or brand, AdCreative generates dozens of image ad variations, banner ads, and short video ads in all required sizes simultaneously, paired with AI-written headlines and body copy. The platform's core advantage is its Creative Score, a predictive AI model trained on performance data from millions of live ad campaigns that estimates which creative variations are most likely to drive clicks and conversions before any budget is spent. Users upload brand assets once (logo, colors, product images), describe their offer, and AdCreative produces a full batch of production-ready creatives in minutes. Direct integrations with Facebook Ads Manager and Google Ads enable one-click creative upload and campaign launch. A competitor analysis feature shows what ad creatives similar brands are running. Free trial with 7 days of access; paid plans start at $21/month for 10 downloads. Popular with performance marketers, media buyers, digital agencies, and e-commerce brands running paid advertising.

An AI copywriting platform with a built-in performance prediction engine that scores every piece of copy it generates before the user publishes it. The Predictive Performance Score is trained on billions of ad impressions, email opens, and conversion events across real campaigns, and it estimates how well a headline, subject line, or ad body will engage and convert a specific target audience. Users define their product, audience, channel, and goal, and Anyword produces multiple copy variations ranked by predicted performance rather than just generating options with no guidance on which to choose. The Brand Voice feature trains on existing company content to lock in tone, terminology, and messaging rules across all outputs. A Data-Driven Copywriting mode feeds real campaign performance back into the model to continuously improve copy recommendations over time. Integrations include HubSpot, Facebook Ads, Google Ads, WordPress, Shopify, and Zapier. Plans start at $39/month for individual marketers; Business and Enterprise plans add team features and custom model training. Used by in-house marketing teams and agencies that want measurable copy decisions.

AI workflow automation tool that connects web apps without code.

An AI code generation and assistance tool available as a VS Code extension, a standalone web app, and a browser extension that works inside any web-based IDE or coding platform. Its signature feature is code extraction from images: users can take a screenshot or photo of code shown in a video, presentation, book, or whiteboard, and Blackbox extracts the fully selectable, copyable code text automatically. This is particularly useful for developers following coding tutorials or learning from physical books. Additional features include real-time autocomplete, a conversational chat interface for code questions and debugging, a terminal command generator that converts plain English instructions into the correct shell commands, and a web search mode that retrieves current documentation and Stack Overflow answers and incorporates them into responses. Blackbox supports over 20 programming languages and integrates with GitHub for repository-aware context. Free tier is generous for individuals; Pro plan is $9.99/month for unlimited usage. Popular with students, self-taught developers, and professionals who work across multiple environments and need AI help outside of a single designated IDE.

Open-source embedding database for building AI applications with memory.

An AI-powered user research repository and analysis platform that helps product teams store, analyze, and share qualitative research findings from customer interviews, usability tests, surveys, feedback forms, and support tickets. Its AI tools automatically transcribe recorded interviews, tag recurring themes and sentiment patterns across large collections of notes and transcripts, generate structured summaries of individual research sessions, and surface the most frequently mentioned insights without requiring manual coding or tagging. The Ask Dovetail feature lets team members ask natural language questions about the entire research library and receive answers backed by specific quotes from actual user sessions, making it easy for product managers and designers to reference real customer evidence in decisions. Dovetail acts as a centralized, searchable repository so findings from past studies are discoverable and reusable rather than disappearing into slide decks and personal notes. Integrations include Slack, Jira, Confluence, Notion, and Figma. Plans start at $30/month for small teams; Growth and Enterprise plans serve larger research operations. Used by product teams at companies including Atlassian, Canva, and Shopify.

An AI content platform built specifically for e-commerce and retail brands that need to generate large volumes of product descriptions, category pages, SEO blog articles, and social copy at scale. The standout feature is batch product content generation: users upload a CSV file of product names, attributes, materials, dimensions, and specifications, and Hypotenuse generates a unique, SEO-optimized description for every product in the catalog within minutes. A brand voice engine trained on existing company content ensures all outputs match the brand's tone, vocabulary, and style rather than producing generic descriptions. A factual accuracy layer cross-references the uploaded product data to reduce hallucinated specifications in outputs. Hypotenuse also generates complete blog articles for content marketing from a brief, including title, introduction, sections, and meta description in one pass. Integrations include Shopify, BigCommerce, WooCommerce, and a direct API for custom catalog pipelines. Free trial covers 25 product descriptions; paid plans start at $29/month. Used by fashion retailers, electronics brands, and marketplace sellers managing catalogs with hundreds or thousands of products.

The AI coding assistant built into the full JetBrains family of IDEs, including IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, CLion, and DataGrip. Because it runs natively inside JetBrains IDEs, it has access to full project context including build configurations, module structure, dependency graphs, and language-specific semantic analysis that browser-based or VS Code-centric tools do not have. Features include intelligent inline code completion, a conversational AI chat panel in the side bar for coding questions, automatic code explanation with awareness of surrounding context, one-click test generation, commit message drafting from a diff, refactoring suggestions, error explanation directly in the IDE's problem panel, and SQL query assistance in DataGrip. JetBrains AI uses a routing model that directs tasks to the most appropriate underlying AI, including Google Gemini and custom JetBrains-trained models depending on task type. Included in all paid JetBrains IDE subscriptions at no extra cost; a standalone AI Pro subscription is $10/month for users on the free community editions.

AI noise cancellation app for calls, meetings, and recordings.

Visual social media planner with AI caption writing and best time to post.

A cloud infrastructure platform for running Python code on serverless GPUs and CPUs, designed specifically for machine learning inference, model training, and AI data processing workloads. Developers write regular Python functions and decorate them with Modal-specific decorators; Modal then handles container building, dependency installation, GPU provisioning, autoscaling from zero to hundreds of parallel workers, and job scheduling without any infrastructure management. This eliminates the need to configure Kubernetes, manage cloud VMs, or write Dockerfiles for AI workloads. Modal is especially popular for deploying AI models as production APIs, running Stable Diffusion, Flux, Whisper, and custom fine-tuned models on demand, processing large datasets in parallel, and running scheduled batch jobs. GPU pricing starts at $0.00030 per GPU-second, approximately $1.08 per hour for an A10G, and scales to A100 and H100 instances. A free tier provides $30 in credits per month, which covers significant experimentation. Popular with ML engineers, AI startup teams, and developers who want production-grade GPU infrastructure without DevOps overhead.