Our portfolio company Allstacks exemplifies a core M12 thesis: the next great enterprise solutions will be AI-native, not just AI-enabled. Kudos to the Allstacks team on the launch of their Intelligence Engine, which disrupts the traditional "investigate-analyze-execute" cycle in engineering by analyzing development activity on demand and surfacing the right problems with specific, immediately actionable recommendations. The secret ingredient? A proprietary semantic data fabric that delivers exhaustive deep research analysis. Learn more about the innovation behind Allstacks' Deep Research Agent approach: https://lnkd.in/e5wJc4tB
Today, we're opening early access to Allstacks Intelligence Engine—the industry's first AI-native platform that doesn't just show you what happened, but tells you what to do about it. The problem? Engineering organizations waste millions annually trapped in an expensive identify problems → analyze what to do → execute solutions cycle. Leaders hunt through fragmented data across multiple systems while teams manipulate status reports to avoid difficult conversations. By the time you validate hunches through manual investigation, the most impactful risks have already compounded into expensive failures. The solution: Seven years of data architecture innovation culminating in a proprietary semantic data fabric that delivers exhaustive deep research analysis—the kind that would take senior consultants weeks to complete—on demand and automatically. Here's what makes this different: Our semantic data fabric creates a unified intelligence layer that maps every connection across your entire software delivery lifecycle—spanning project management, source control, CI/CD, deployment, and quality tools across 50+ systems. All the pathways are pre-mapped and connected by meaning, so our AI can focus entirely on surfacing the right problems with specific, immediately actionable recommendations. Available in early access: 📊 Deep Research Agents - Delivery Risk, Workflow Analysis, and Requirements Readiness Assessment 💬 AI Assistant - Ask complex questions in natural language, get instant expert-level analysis 📈 Measure adoption and effectiveness of GitHub Copilot, Cursor, and Amazon Q across your org This isn't about better dashboards. It's about moving from systems of record to systems of action—from showing what happened to prescribing what to do next. Read the full announcement here 👉 https://hubs.ly/Q03Qd-6V0 Early access is open through the end of 2025: https://lnkd.in/gF9vkeyf