2,800+ case studies on how companies use AI, and what’s giving results. Get a free overview for your industry and role ↓
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,800+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,800+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
2,800+ case studies on how companies use AI, and what’s giving results. Get a free overview for your industry and role ↓
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,800+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,800+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Call coaching meant combing recordings one at a time; reps needed three months to ramp. AI now coaches every rep after every call.
Records scattered across paper and platforms slowed every patient encounter. Now doctors navigate a billion-record system in plain language.
Staff were already using AI—public, unsanctioned, uncontrolled. Copilot replaced the shadow and recovered hours lost to manual coordination.
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Call coaching meant combing recordings one at a time; reps needed three months to ramp. AI now coaches every rep after every call.
Records scattered across paper and platforms slowed every patient encounter. Now doctors navigate a billion-record system in plain language.
Staff were already using AI—public, unsanctioned, uncontrolled. Copilot replaced the shadow and recovered hours lost to manual coordination.
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.