TensorPM

Context-driven projects powered by AI Every project starts with a plan. A week later, that plan is fiction. Scope shifted in a client call. A risk surfaced in Slack. Someone re-prioritized three tasks in a meeting you missed. The plan doesn't know. Your PM tool doesn't know. Only you know, until you forget too. That's the real problem with project management software. These tools store tasks. They have no concept of why those tasks exist, how they connect to goals, or what changed since yesterday. And when vendors bolt AI onto that shallow foundation, you get suggestions from a system that's working blind. A Different Foundation TensorPM is built on a fundamentally different premise. Your project context is the product, not the task list. Powered by Context-Driven Project Management (CDPM), TensorPM maintains a rolling Single Source of Truth. A living, structured representation of your entire project reality. Goals, scope boundaries, timeline, budget, risks, dependencies, requirements, stakeholders. All semantically connected. All continuously evolving. This isn't a static document you update on Fridays. It's an auditable knowledge graph that grows with every decision, every update, every course correction. When scope changes, the SSOT reflects it instantly, along with the ripple effects on timeline, budget, and risk. How Context Stays Alive The secret is atomic distillation. When information flows in, whether that's a meeting summary, a status email, uploaded specs, or a Slack thread, TensorPM's AI doesn't just dump it into a note. It breaks every update into single-dimension, individually validatable effects. A vendor delay becomes three separate distillates. One for timeline impact. One for scope adjustment. One for risk re-assessment. You review each independently. Accept, reject, or defer. Every decision is traced. Nothing slips through. Nothing gets lost in a wall of noise. The result is a project context that is always complete, always consistent, always current. Without you manually syncing ten different artifacts. AI That Reads the Room Most AI in PM tools operates on shallow data. Task titles, status fields, maybe a description. TensorPM's AI operates on the full SSOT: goals with success criteria, scope boundaries, budget constraints, risk assessments, dependency chains, and historical decisions. That changes everything. Task generation becomes goal-aligned because the AI knows what your project is actually trying to achieve. Health checks evaluate scope-budget-timeline coherence across the entire context, not just overdue counts. Priority re-evaluation considers impact on objectives, risk reduction along critical paths, and resource constraints simultaneously. Document analysis integrates findings into the relevant context layers automatically, whether that's scope, requirements, or risks. The AI doesn't replace your judgment. It gives you the full picture so your judgment is informed. All data lives on your machine. Works fully offline. No account required. Cloud sync is optional and end-to-end encrypted, hosted in Germany on 100% renewable energy. Your project context is the most valuable asset in your project. It stays under your control. Agent-Native TensorPM exposes a full MCP server, making the rolling SSOT accessible to AI coding agents like Claude Code. Agents read project context, create tasks, and propose updates through the same distillation pipeline. Same atomic validation, same audit trail. Context-driven project management agents, but with a human in the loop. Start in 10 Minutes Describe your idea and let AI build the plan. Upload existing docs and let AI structure them. Or walk through the guided wizard that asks the questions you'd forget. From chaos to living SSOT in a single session. Available for free for Windows · macOS · Linux The world needs more finished projects, not more management.