A marketplace where anyone with a spare gaming or server GPU can rent it out, so AI developers get GPU compute at a fraction of the price big cloud providers charge — like Airbnb, but for graphics cards instead of spare rooms.
Results for “Veg Recipes of India”
8405 tools found
A control panel for getting AI models and agents from a developer's laptop into real production use — deployment, scaling, and governance — built to run on whichever cloud a company already uses instead of locking them into one.
Generates realistic fake versions of your production data — same shape and statistics, no real customer information — so developers can test against data that looks real without ever touching actual user records.
Cloud API that turns a JSON description of a video — clips, text, transitions — into a rendered MP4, so apps can generate or personalize video automatically instead of a human editing it by hand.
A safety checker for AI systems that catches hallucinations, unsafe answers and factual mistakes before they reach a user, using its own purpose-built judge models instead of relying on a general-purpose LLM to grade itself.
Gives AI chatbots and agents a real memory — so they remember what you told them last week — instead of forgetting everything the moment a conversation ends, the way most AI apps do by default.
An open-source framework for building AI agents that keep their state and memory under your own control — self-hostable, built on academic research (MemGPT) — instead of relying on a third-party's hosted black box.
A dashboard that shows you exactly what your AI agent did, step by step, when it fails — every tool call, every sub-agent, every LLM response — instead of leaving you to guess from a wall of logs.
A platform that started by checking AI systems for unfair bias and has grown into a full compliance dashboard — finding AI a company didn't even know it was using, and tracking whether all of it meets legal and ethical standards.
Builds a living map of everything a user has told an AI agent over time — and how those facts connect and change — so the agent can pull up exactly the right context in under 200 milliseconds instead of re-reading an entire chat history.
A marketplace of ready-to-call AI models for generating images, video, audio and 3D content — like an app store of generative AI models you access through a single API instead of hosting each model yourself.
A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.
A ready-made storefront and billing layer that sits on top of your existing API gateway, so external developers can discover, sign up for, and pay to use your APIs without your team building that portal from scratch.
AI coding agent that treats a feature or bug fix as a full workflow — planning, coding, testing and review — instead of just answering chat questions.
Text-to-speech API built by linguists for hundreds of natural-sounding voices across 50+ languages, tuned for real conversation, not audiobooks.
Edge orchestration platform that remotely manages, secures and updates AI inference and applications across thousands of distributed edge devices.
AI-native observability platform that lets engineers debug production issues by asking questions in plain language instead of digging through logs.
Cloud infrastructure of real, headless browsers that AI agents can control to browse, click and fill out forms like a human would.
Testing environment that gives AI agents realistic, stateful clones of GitHub, Slack, Stripe and other SaaS tools so bugs get caught before production.
Internal developer portal that gives engineering teams a self-service software catalog, golden-path automation, and scorecards, positioned as faster to stand up than Backstage.