14 results for “case study”
OpenAI's case study says Proaction's COO builds custom fleet demos in Codex in 30 to 45 minutes. Proaction estimates this saves 40 to 60 engineering hours monthly and lifts deals reaching solution development 50% to 60%.
OpenAI says GPT-6 Astra helped Higgsfield AI ship new video-ad features in a single day. The startup credits one-engineer delivery to Astra's long-horizon planning — still a vendor case study.
OpenAI published a case study showing how Stampli cut Deep Finance launch production from 243 to 77 hours using ChatGPT Work and Codex. The AI-powered procure-to-pay platform now generates hundreds of marketing assets weekly from automated Jira, GitHub, and CRM data pipelines.
OpenAI published a case study on how V7's enterprise agent platform uses GPT-5.6 Luna, Terra and Sol plus GPT-6 Astra. V7 says the tiered setup cut tool-call errors to 0.2% and lowered per-document costs.
Mistral migrated 40,000 lines of Fortran 77 to C++ using a structured agent workflow. The case study shows that parity harnesses and documentation must precede migration.
OpenAI detailed how MIT researcher Beatriz Yankelevich used GPT-5.6 Sol and Codex for superconducting-qubit calibration on a six-qubit chip. Agents can absorb routine lab work; weak signals still need a human.
Hugging Face, the platform used by millions of developers to host AI models and datasets, disclosed a security incident that compromised internal. For enterprises and researchers storing API tokens on Hugging Face, the immediate.
Shopify detailed a PyTorch and vLLM loop that turns daily production failures into model weight updates. It cuts estimated serving costs 96% while surpassing frontier model quality on its GraphQL agent.
Aikido published Altar, a pruned open-weight cut of Z.AI GLM-5.3 meant to run security agents on customer hardware. Compression is real; the security claims remain vendor-scored until outsiders retest.
NVIDIA showcased five Inception startups using its AI platforms to accelerate clean energy at Climate Week. The projects cut grid study times, streamline nuclear ops, and compress fusion development from years to weeks.
AI model costs are forcing OpenAI, Meta, xAI and other major labs to shift their sales pitch from raw capability toward cheaper intelligence per task. Enterprise AI bills have become a board-level concern.
Meta has entered the AI coding agent arena with Muse Code, a terminal-based tool now in beta that targets professional developers working across large. Meta's entry reshapes the competitive dynamics of AI-assisted software development.