Technology — Showing 18 of 282

• MS Fabric

  AI Agent Development Platforms

  A unified analytics platform integrating data engineering, warehousing, and AI for real-time insights and automation.

  Microsoft Fabric is an end-to-end analytics platform that unifies data engineering, data warehousing, and real-time analytics into a single SaaS solution. It integrates services like Azure Data Factory, Synapse Analytics, and Power BI, enabling organizations to manage their data…

  Use cases: data analysts, business intelligence professionals, data engineers, IT managers

  Capabilities: Integrating data engineering, warehousing, and analytics into a unified platform., Processing real-time data for immediate business insights., Automating tasks and workflows using AI agents., Enhancing decision-making with AI-driven analytics.

• Appsmith Agents

  AI Agent Development Platforms

  Customizable AI agents embedded in your tools to automate workflows with continuous context.

  Appsmith Agents lets teams deploy secure, context-aware AI agents within tools like Chrome, Slack, Salesforce, Zendesk, and Notion. Powered by continuous context, it integrates proprietary data and function calling to automate tasks, fetch info, and execute workflows without manu…

  Use cases: productivity teams, support engineers, sales operations, IT admins, automation engineers

  Capabilities: Embedding AI agents directly into workspace tools like Slack, Zendesk, and CRM., Automating multi-step workflows across apps with real-time business context., Reducing human error by grounding AI responses in private enterprise data., Scaling internal task automation with templates for HR, sales, support workflows.

• Cubeo AI

  AI Agent Development Platforms

  No‑code platform to build and orchestrate custom AI specialists trained on your data.

  Cubeo AI is a no‑code AI assistant and agent builder that lets you create specialist agents (lead finder, email writer, competitor analyst, etc.) powered by your documents, videos and integrations. Agents work together via triggers to automate workflows across sales, marketing, r…

  Use cases: sales teams, marketing teams, HR teams, research analysts, automation engineers

  Capabilities: Building custom AI agents without coding., Training agents on PDFs, docs, videos, websites and internal data., Automating workflows via multi‑agent orchestration and triggers., Integrating with tools like HubSpot, Salesforce, Slack, CRM.

• HeyBoss AI

  AI Agent Development Platforms

  AI platform that builds and maintains custom websites, apps, and games from a sentence—no code required.

  HeyBoss AI is an end-to-end AI-driven development platform that takes a user’s description and produces a fully functional website, app, or game. It automates design, code generation, deployment, SEO, hosting, and maintenance via a multi-agent system working like a full-stack tea…

  Use cases: entrepreneurs, small business owners, content creators, educators, hobbyists

  Capabilities: Non‑tech founders wanting a website, app, or game without coding., Rapid prototyping and deployment of digital products., Automating marketing, SEO and hosting setup., Maintaining and iterating digital assets via chat interface.

• Sema4.ai

  AI Agent Development Platforms

  Enterprise AI agent platform for building, deploying, and managing autonomous agents at scale.

  Sema4.ai provides a full‑lifecycle, enterprise‑grade platform for creating autonomous AI agents that execute complex workflows, reason transparently, integrate with enterprise systems, and scale securely across organizations.

  Use cases: business analysts, IT architects, automation engineers, enterprise developers, compliance officers

  Capabilities: Automating knowledge‑intensive, end‑to‑end business processes, Integrating AI agents with enterprise apps, data, and documents, Deploying secure and governed AI agents at scale, Enabling business users to author agents with natural language Runbooks, Ensuring traceability and transparency in AI decision‑making

• Firebase Studio

  AI Agent Development Platforms

  A cloud IDE with Gemini-powered AI agents for prototyping, building, and deploying full‑stack AI apps.

  Firebase Studio is a browser‑based AI‑accelerated development workspace by Google. It integrates VS Code‑style editing, Gemini AI coding and prototyping agents, and deep integration with Firebase & Google Cloud services. Developers can rapidly prototype full‑stack apps via natura…

  Use cases: software developers, AI researchers, product designers, full‑stack engineers, devops engineers

  Capabilities: Rapid prototyping of AI‑powered web/mobile apps using natural language, AI‑augmented code authoring, debugging, testing, and documentation, Full‑stack app development with built‑in Firebase and Google Cloud deployment, Collaborative cloud development and environment sharing

• Amazon Bedrock AgentCore

  AI Agent Development Platforms

  Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.

  Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure a…

  Use cases: AI engineers, software developers, DevOps engineers, data scientists

  Capabilities: Deploying AI agents with secure, serverless infrastructure and session isolation., Adding persistent short‑ and long‑term memory for context-aware agent conversations., Integrating external APIs, AWS services, or Lambda functions as agent tools via Gateway., Enabling agents to automate web-based workflows through a managed browser runtime., Allowing agents to execute code securely in sandbox environments via Code Interpreter., Monitoring and auditing agent activity with observability dashboards and logs.

• Dust AI

  AI Agent Development Platforms

  Enterprise platform for composing custom AI agents, workflows, and integrations using company data and tools.

  Dust AI is a platform where teams build custom, agentic AI agents that understand company context, connect to internal tools and knowledge sources, and execute multi-step workflows. Agents can be built without code, integrate with APIs, handle reasoning chains, memory, observabil…

  Use cases: product managers, engineering teams, operations leaders, customer support leads, knowledge managers

  Capabilities: Teams wanting AI agents that operate using internal company data (Slack, Notion, GitHub, etc.)., Organizations looking to automate business processes that span multiple tools or departments., Companies that need observability, audit-logging, memory, and governance built into their agent workflows., Builders who want to quickly deploy agents with reasoning, custom integrations, and being model‐agnostic.

• Intrepid AI

  AI Agent Development Platforms

  Platform to prototype, simulate, and deploy autonomous robotic systems (drones, ground vehicles, satellite) with visual tools and SDKs.

  Intrepid AI is a platform that helps robotics teams rapidly design, test, simulate, and deploy autonomous agents for drones, ground vehicles, satellites, and more. It supports visual programming, custom logic, integration with ROS2, real-time monitoring, versioning, and safe tran…

  Use cases: robotics engineers, system architects, autonomy researchers, mechatronics developers, embedded systems engineers

  Capabilities: Robotics teams building autonomous agents in physical systems, Developers wanting to simulate robotics environments before real-world deployment, Projects integrating ROS2, custom sensors, stateful agents, or complex dynamics, Enterprises that want safe, versioned pipelines from design to deployment in robotics

• Convai

  AI Agent Development Platforms

  SDK and platform for real-time conversational NPCs in games and virtual worlds with voice, vision, and action APIs for Unity/Unreal.

  Convai is a developer platform to build lifelike, voice-driven NPCs and virtual characters. Its SDKs for Unity, Unreal, and web add end-to-end speech (ASR/TTS), LLM reasoning, memory, perception, and action execution so characters can converse naturally, understand context, and p…

  Use cases: game developers, XR developers, technical artists, simulation designers, educators

  Capabilities: Adding real-time voice NPCs with memory and actions to Unity/Unreal projects., Creating conversational characters for XR, metaverse, and simulations., Configuring NPC-to-NPC dialogues, behaviors, and world interactions., Prototyping AI companions with a playground and deployable SDKs., Scaling from free tier to production with usage-based plans.

• Nuance Mix

  AI Agent Development Platforms

  Conversational AI platform to design, test, and deploy voice and chat bots with ASR, NLU, TTS, and omnichannel contact center integrations.

  Nuance Mix is an enterprise conversational AI platform for building IVR and digital virtual assistants. It provides DIY tooling and APIs for speech recognition (ASR), natural language understanding (NLU), text-to-speech (TTS), dialog and bot orchestration, testing, and analytics.…

  Use cases: conversational ai engineers, solution architects, contact center ops, IVR designers, CX leaders

  Capabilities: Designing and deploying IVR and digital virtual assistants for contact centers., Building omnichannel bots with ASR, NLU, and TTS that hand off to agents., Integrating with Genesys/Avaya flows and enterprise backends., Testing, versioning, and analyzing conversational experiences at scale., Adding LLM-powered boosters while preserving controls and compliance.

• ComfyUI (Comfy.org)

  AI Agent Development Platforms

  Open-source, node-based generative AI platform to build image, video, 3D, and audio workflows locally or in the cloud.

  ComfyUI is a free, open-source, node-based platform for generative AI. Creators assemble visual workflows to produce images, video, 3D, and audio, extend functionality with custom nodes, and run everything locally for speed, control, and cost savings. The Comfy Org ecosystem incl…

  Use cases: creative technologists, 3D and VFX artists, researchers, indie developers, content creators

  Capabilities: Designing end-to-end generative AI pipelines with a visual node editor., Running local image/video/3D/audio generation with full control., Extending capabilities via custom nodes and community extensions., Packaging repeatable workflows for teams or tutorials., Trying browser-based runs via the Comfy Cloud beta.

• Reducto AI

  AI Agent Development Platforms

  Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

  Reducto AI provides high-accuracy document ingestion APIs for AI teams. It parses complex PDFs, Excel, and PowerPoint, applies agentic OCR, splits multi-doc files, and extracts schema-precise fields. Reducto can summarize figures, convert graphs to tables, fill detected form fiel…

  Use cases: ML engineers, data engineers, platform engineers, knowledge management teams, solutions architects

  Capabilities: Parsing PDFs, Excel, and slides into structured JSON for downstream AI., Extracting tables/figures and converting graphs to tabular data., Running multilingual/handwriting OCR with human-like layout understanding., Splitting multi-document files and chunking for retrieval pipelines., Filling forms and checkboxes programmatically without templates.

• Blitzy

  AI Agent Development Platforms

  Autonomous System 2 AI platform that batch-builds up to 80% of enterprise software from requirements with thousands of specialized agents.

  Blitzy is an AI-powered autonomous software development platform built for enterprises with large and complex codebases. Instead of acting as a simple coding co-pilot, Blitzy orchestrates thousands of specialized AI agents that think, plan, build, and validate code based on produ…

  Use cases: software developers, staff engineers, engineering managers, VPs of engineering, CTOs, enterprise architects, technical founders, platform engineering leaders

  Capabilities: Transforming high-level product requirements into detailed technical specifications and implementation plans., Autonomously generating large portions of new enterprise applications from scratch, then handing off the last mile to engineers., Refactoring and modernizing large, legacy codebases while preserving behavior and improving architecture., Adding new features to existing products by generating pull requests aligned with team coding standards., Producing up-to-date technical documentation and maps of complex multi-repo systems., Reducing technical debt and accelerating roadmap delivery for organizations with constrained engineering capacity.

• Mocha

  AI Agent Development Platforms

  AI no-code app builder that turns prompts into full-stack apps with auth, database, payments, and one-click publishing.

  Mocha (getmocha.com) is an AI-powered no-code app builder that lets users create and ship full-stack web apps by describing what they want in natural language. It generates the app UI and backend logic and supports core production pieces such as user authentication, a database, a…

  Use cases: founders, product managers, entrepreneurs, software developers, designers, marketers

  Capabilities: Building and launching full-stack web apps from prompts without writing code., Creating apps with authentication, database storage, and payments in one platform., Rapidly iterating on features by describing changes in natural language., Publishing apps quickly with hosted deployment and optional custom domains.

• ClawHub

  AI Agent Development Platforms

  Skill registry for OpenClaw agents: publish, version, and install AgentSkills bundles with semantic (vector) search and CLI tooling.

  ClawHub is a skill registry/marketplace built for OpenClaw-style agents. It lets developers publish AgentSkills bundles, version them like npm (semver, changelogs, updates), and make them discoverable via vector (semantic) search. Users can search and install skills quickly (incl…

  Use cases: software developers, ai engineers, automation engineers, devops engineers, security engineers

  Capabilities: Discovering and installing third-party agent skills to extend an OpenClaw-style assistant., Publishing AgentSkills bundles with versioning, changelogs, and update workflows., Finding relevant skills via semantic (vector) search instead of only keyword search., Managing a skill ecosystem for agent capabilities with repeatable install/upgrade flows.

• Dynamiq

  AI Agent Development Platforms

  Enterprise-grade low-code AI agent platform for building, orchestrating, and deploying compliant multi-agent workflows.

  Dynamiq is a low-code GenAI platform to design, build, orchestrate, deploy and monitor multi-agent AI workflows—secure, compliant, and scalable across cloud, hybrid, and on-prem environments.

  Use cases: AI developers, ML engineers, enterprise architects, compliance officers, automation teams

  Capabilities: Rapidly prototyping and deploying AI agents using a low-code visual builder., Orchestrating multi-agent workflows for complex tasks across regulated industries., Ensuring enterprise-grade security, observability, guardrails and compliance., Deploying agents on-premise, in cloud, or hybrid environments with full control.

• Google Antigravity

  AI Agent Development Platforms

  Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

  Agent-first AI coding environment and IDE from Google where autonomous agents plan, write, test, and debug software across editor, terminal, and browser.

  Use cases: software developers, full-stack engineers, machine learning engineers, devops engineers, engineering managers, technical founders

  Capabilities: Delegating end-to-end coding tasks like scaffolding, refactors, and bug fixes to autonomous agents., Running multiple coding agents in parallel to explore different implementations or tackle large backlogs., Using an integrated browser and terminal so agents can run tests, inspect apps, and iterate without manual setup., Reviewing agent-generated artifacts such as plans, diffs, and logs to understand and verify code changes., Experimenting with agentic development workflows on real-world projects while keeping a familiar VS Code-style IDE.