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THE AI OPPORTUNITY INDEX
Find your next AI tool. Explore free access, trials, and credits — all in one place.
OpenAI
Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.
Score: 40.76Confidence: 59%
OpenAI
OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI.
Score: 40.76Confidence: 59%
View offerTogether.ai
1.25x over a well-trained static speculator. Aurora is an open-source RL framework that turns speculative decoding from a one-time offline setup into a self-improving system that learns from every request it serves.
Score: 40.75Confidence: 59%
View offerGoogle DeepMind
Google DeepMind is transforming the mouse pointer into a context-aware AI partner. Move beyond the friction of traditional prompting with intuitive AI collaboration in Chrome and beyond.
Score: 40.74Confidence: 59%
View offerOpenAI
AI for Disaster Response in Asia: OpenAI Workshop with Gates Foundation
Score: 40.74Confidence: 59%
View offerOpenAI
Learn how STADLER uses ChatGPT to transform knowledge work, saving time and accelerating productivity across 650 employees.
Score: 40.73Confidence: 59%
View offerGoogle DeepMind
Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.
Score: 40.72Confidence: 59%
View offerGoogle DeepMind
Google DeepMind researches AI's harmful manipulation risks across areas like finance and health, leading to new safety measures.
Score: 40.71Confidence: 59%
View offerOpenAI
Learn how OpenAI’s Model Spec serves as a public framework for model behavior, balancing safety, user freedom, and accountability as AI systems advance.
Score: 40.71Confidence: 59%
View offerGoogle DeepMind
Introducing Lyria 3 Pro, which unlocks longer tracks with structural awareness. We’re also bringing Lyria to more Google products and surfaces.
Score: 40.71Confidence: 59%
View offerModal
How Modal helped the ML team at Doppel parallelize experimentation and scale inference.
Score: 40.71Confidence: 59%
View offerTogether.ai
As context windows grow, LLM performance degrades in unexpected ways. We show how a "Divide & Conquer" framework — breaking long documents into parallel chunks with a planner, workers, and manager — lets smaller models like Llama-3-70B and Qwen-72B outperform GPT-4o single-shot.
Score: 40.71Confidence: 59%
View offer