2243 historias de clientes de herramientas de IA, citadas desde las páginas de donde vienen
Cada historia enlaza a su página de origen y al día de nuestra captura. Cada cifra está impresa en esa página: nunca estimamos ninguna.
2243 historias sobre 2005 empresas y 280 herramientas de IA. 1720 llevan una cifra impresa en su página. Todas vienen de casos de estudio de proveedores: muestran lo que los proveedores eligieron publicar.
- 25-30 hours“Saved 25-30 hours per month by automating manual journal entry workflows”Pearl usa FloQast.Caso de estudio del proveedorfloqast.comCapturado el 7 oct 2026
- 600 hours“saving Hazeldenes approximately 600 hours annually”Hazeldenes usa FloQast.Caso de estudio del proveedorfloqast.comCapturado el 7 oct 2026
- 99%“99% Faster Cash Booking: Reduced weekly manual banking tasks from 3 hours to 30 seconds via Transform AI agents.”Nitrogen Wealth usa FloQast.Caso de estudio del proveedorfloqast.comCapturado el 7 oct 2026
- 10 business days“FloQast probably saves us 10 business days a year in total just through process automation”Entain usa FloQast.Caso de estudio del proveedorfloqast.comCapturado el 7 oct 2026
- 16x“Combining the capacity recovered with that incremental revenue, Riesenfeld put the return at "about 16x."”Zoominfo usa 1mind. Sales Tech y CRM.Caso de estudio del proveedor1mind.comCapturado el 7 oct 2026
- ~8,700“~8,700 Jack conversations in a six-month performance review”Winning by Design usa 1mind.Caso de estudio del proveedor1mind.comCapturado el 7 oct 2026
- 30%“More than 30% higher MRR from customers who interact with Nora”Pipedrive usa 1mind.Caso de estudio del proveedor1mind.comCapturado el 7 oct 2026
- 5,000 hours“they save about 5,000 hours per year!”Instacart usa Drata. Logística y Supply Chain.Caso de estudio del proveedordrata.comCapturado el 7 oct 2026
- 5x“5x faster internal audit process”Brex usa Drata. Fintech y Pagos.Caso de estudio del proveedordrata.comCapturado el 7 oct 2026
- $14M“This program drives $14M in quarterly pipeline for the mid-market segment”Verkada usa Actively. Ciberseguridad.Caso de estudio del proveedoractively.aiCapturado el 7 oct 2026
- 2x“Actively-sourced opportunities have driven a 2x conversion rate.”Samsara usa Actively. Logística y Supply Chain.Caso de estudio del proveedoractively.aiCapturado el 7 oct 2026
- 1500 applications“Scaled application security scanning across over 1500 applications and projects”Overstock usa Snyk.Caso de estudio del proveedorsnyk.ioCapturado el 7 oct 2026
- nearly 500projects monitored with SnykSkyscanner usa Snyk. Viajes y Hostelería.Caso de estudio del proveedorsnyk.ioCapturado el 7 oct 2026
- 247%“a 247% increase in developer adoption of Snyk Open Source”ShopBack usa Snyk.Caso de estudio del proveedorsnyk.ioCapturado el 7 oct 2026
- ~900 repositories“Implemented SAST and SCA scanning for ~900 repositories in less than a month”Pomelo usa Snyk.Caso de estudio del proveedorsnyk.ioCapturado el 7 oct 2026
- a couple of days“TechnologyOne onboarded all their software from their code repositories within a couple of days.”TechnologyOne usa Snyk.Caso de estudio del proveedorsnyk.ioCapturado el 7 oct 2026
- 5x“5x Faster MTTR”Assala Energy usa Dropzone AI.Caso de estudio del proveedordropzone.aiCapturado el 7 oct 2026
- 85%“85% faster investigations, with alert triage time reduced from 10-15 minutes to under 2 minutes”Zapier usa Dropzone AI. DevTools e Infraestructura.Caso de estudio del proveedordropzone.aiCapturado el 7 oct 2026
- 26“the scope of projects running on Domino organically grew from three to 26”Allstate usa Domino Data Lab. Seguros e InsurTech.Caso de estudio del proveedordomino.aiCapturado el 7 oct 2026
- 10%“This data-driven approach has resulted in a quantifiable increase in ad click-through rates by up to 10%.”Vevo usa Domino Data Lab.Caso de estudio del proveedordomino.aiCapturado el 7 oct 2026
- 75%“More than 75% of the company’s 500-strong community of data scientists now actively use Domino”Bayer usa Domino Data Lab. Biotech y Pharma.Caso de estudio del proveedordomino.aiCapturado el 7 oct 2026
- nine months to four“The end-to-end process from model development to deployment into production has been reduced by more than half, from nine months to four.”Moody's usa Domino Data Lab. Inversión y Capital Riesgo.Caso de estudio del proveedordomino.aiCapturado el 7 oct 2026
- 2x“moving 2x as fast in this domain and accelerating its go-to-market and product launches”Move AI usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 50%“cut average processing times to create training data by 50%”Blue River Technology usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 30%+“saved an estimated 30%+ in total time, plus months of custom development work in engineering hours”Cape Analytics usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 10x“It now produces expert-grade signal 10x cheaper, 5x faster, and with better quality”Genentech usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 50%“cut average cost to create the training data by as much as 50%”SharperShape usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 70%“70% improvement in time savings for generating insights from images.”Burberry usa Labelbox. Moda y Ropa.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 25%“a 25% reduction in turnaround time versus comparable services”Walmart usa Labelbox. Retail (Omnicanal).Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 8 seconds“with active learning and model-assisted workflows, the average dropped to 8 seconds”Advent Health Partners usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 40%“a 40% gain in expert data delivery speed”Criteo usa Labelbox. Publicidad y AdTech.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 41%“a 41% reduction in costs required to generate high-quality signals for model improvement”Dialpad usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- nearly 50%“Speak's signal-production time was cut by nearly 50%”Speak usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- doubled“doubled the speed at which they deliver training signal for their multiple ML models”Intuitive usa Labelbox.Caso de estudio del proveedorlabelbox.comCapturado el 7 oct 2026
- 50%“TrialHub reduces the time spent on feasibility assessments by 50%”TrialHub usa Nebius AI Cloud.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
- 7,000 hourscompute hours to train Converge-SCConverge usa Nebius AI Cloud.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
- 2.1 secondsaverage generation time per moleculeQuantori usa Nebius AI Cloud.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
- 50–80%“a single H100 GPU completed the training process 50–80% faster than the A100 GPU”Krisp usa Nebius AI Cloud. Inteligencia Artificial.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
- triple“allowed the company to triple the GPU cost savings”TheStage AI usa Nebius AI Cloud.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
- ~6x“These adjustments made the network 4x faster, leading to a ~6x increase in training speed.”Recraft usa Nebius AI Cloud.Caso de estudio del proveedornebius.comCapturado el 7 oct 2026
