Abacus.AI
AI Developer ToolsBuild AI systems easily.
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Tick Compare on any two to four cards to put them side by side.
Build AI systems easily.
Automate KPI reporting, BI and dashboards.
For patent litigators, not for general legal work.
Generate and fix SQL queries in plain English.
Build your AI workforce. Give agents tasks.
Identifies unseen website risks and new threats to your data.
AI Collective offers access to multiple AI models.
AI-Flow connects multiple AI models easily, but only supports a limited number of providers.
Sends one prompt to several AI chatbots at once, then lines up the answers for comparison.
AI chatbots that automate customer service and generate code automatically.
AI Prompt Manager helps store and manage GPT prompts. It’s easy to search and share.
AutoKT automates documentation writing and updating; it can be costly for small teams.
Professional and cost-effective data annotation services.
Applies AI and a proprietary knowledge graph to speed up biopharma drug discovery.
Bethge Lab is an AI research group focusing on lifelong learning.
Facial recognition for social identity.
Botsheets generates Google Slides directly from your data, with secure storage on Drive.
Wraps the ChatGPT API in a simple interface, though power users may want the full API's flexibility.
Answers questions about any webpage using OpenAI, keeping everything stored locally for privacy.
AI-powered workflow builder, create flows with natural language. Connect and test end-to-end.
Suits defense, manufacturing and utilities; not for small businesses.
Supports interpretability across modalities, minimal modification needed.
Connects scattered edge data center sites into one network that tenants can lease as a single service.
ChainGPT offers AI solutions for blockchain and crypto, including trading bots and NFT generators. It's specialized in this niche.
Chainlit helps build conversational AI apps with your own logic.
Chathero is limited to medium-sized businesses and lacks enterprise-level complexity.
Automates enterprise workflows end-to-end by connecting AI to CRM, ticketing and ERP systems.
A collaborative AI chat app where engineering teams share code, ideas and curated resources live.
Set up your bot in a couple of minutes.
Facilitate enterprise GenAI projects with streamlined workflows and secure compute access.
Launching soon, generates excitement for your business.
Trains AI to write code, secure environments required.
Shape your projects with advanced AI. A developer's companion for intelligent automation.
AI-driven office tools in one platform.
Automate monetization with AI-powered conversational ads.
Too buggy to use reliably, especially on newer devices.
Unified AI platform for business teams.
DSH is a plugin framework that allows teams to build their own agent runtime, but lacks API stability and can't handle production deployments.
High-performance AI compute and inference on dedicated GPUs, but limited to Canadian data centers.
Limited to UK players.
Build intelligent documentation with AI.
Not suitable for basic file handling alone, Echobase AI excels in custom-trained AI Agents.
Use pre-trained models for serverless Node.js apps.
Suitable for businesses of all sizes, not just tech-savvy ones.
Frederick AI agents build and run applications.
Limited to AI safety and security, it provides best practices and research initiatives.
GenWorlds is an event-based communication framework for multi-agent systems, but lacks a detailed pricing page.
AI-powered agents manage Salesforce implementation.
Three worth starting with
Terms to know
Developer tools in this group help build with AI rather than only write code: model hubs like HuggingFace, agent frameworks, browser add-ons and learning aids such as Marble LeetCode Tutor Chrome Extension. Engineers and technical founders use them to prototype AI features and test models. The deciding question is hosting: some tools run in the cloud, others let you run models on your own hardware.
Code assistants help you write code in your editor. Developer tools are the wider set for building AI products: model libraries, agent frameworks, testing utilities and deployment platforms. A team might use one of each at the same time.
Not always. Many offer hosted models and simple APIs, so ordinary application developers can add AI features without training anything. Fine-tuning or running models yourself does require more background in data and infrastructure.
Hosted models are quicker to start with and need no hardware, but your data goes to a third party. Running a model yourself keeps data in-house and gives control over versions, at the cost of setup and maintenance.