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CritPath AI schedule risk management

CritPath AI helps R&D and scale-up teams forecast schedule risk with Monte Carlo, CCPM, decision gates, resource planning, and governed AI at $10/user/month.

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What problem this product solves CritPath AI helps biotech, deep-tech, and federally funded R&D teams make schedules they can defend. Standard Gantt charts often show a single date without explaining its probability, while vendor delays can trigger days of manual re-planning. CritPath AI runs schedule math over the actual dependency network, shows how likely each date is, and automatically cascades changes when a risk occurs or a vendor slips. Key features and benefits Monte Carlo simulation runs 10,000 scenarios to produce completion ranges, target-date probabilities, P50 to P95 forecasts, and sensitivity rankings. Critical Path Method and Critical Chain Project Management identify bottlenecks, buffers, and margin burn through fever charts. Decision gates support Go, No-Go, and Pivot choices with owners, co-signs, audit trails, and schedule recalculation when decisions change. The platform also includes resource leveling, staffing optimization, WSJF and Cost of Delay analysis, portfolio dashboards, EVM reporting, CSV and Excel import, API access, and GitHub integration. Configurable AI employees, such as estimators, risk analysts, and sub-PMs, read the live schedule and return typed proposals for review. A named human must approve changes, and every acceptance is audited. An adversarial reviewer can evaluate runs against custom quality rubrics. The platform supports an append-only, tamper-evident audit trail and AACE RP 132R-23 Level 4 risk-driven scheduling. Notable alternatives and how this product compares Legacy risk tools such as Primavera, Deltek, and Pertmaster provide schedule-risk depth but are described as expensive, Windows-based tools, often costing about $10,000 or more per seat. Generic project management products such as Monday, Asana, Smartsheet, and Linear offer modern collaboration interfaces but generally lack probabilistic schedule analysis and CCPM. CritPath AI combines Monte Carlo, CCPM, decision gates, resource trade-off analysis, and a schedule-aware AI copilot in a self-serve web experience. AI-employee tools may provide autonomous agents, but the site says they do not include a scheduling engine. Pricing models and plans The Pro plan costs $10 per user per month and includes every listed feature, unlimited projects, CPM, TOC/DBR, Monte Carlo, decision gates, WSJF, portfolio dashboards, MFA, audit logs, and API access. Enterprise pricing is custom and includes options such as a dedicated customer success manager, training, and custom integrations. On-premises deployment, SOC 2, SAML, HIPAA BAA, and 21 CFR Part 11 are listed on the Enterprise roadmap. AI employees are billed separately per completed job at estimated token cost plus a stated platform margin. There are no credits, hourly minimums, or charges for failed runs. FAQs Q: Who is CritPath AI for? A: It is designed for biotech program leaders, deep-tech founders and CTOs, federally funded principal investigators, and grant program managers. Q: What happe

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Astralithos AI

Astralithos AI

Astralithos AI is developing a schedule and engineering aware Physical AI in stealth