AcquisitionOS is our flagship AI-native client acquisition platform, built to take businesses from prospect discovery to qualified pipeline. **The Problem:** Sales teams spend significant time manually researching companies, identifying opportunities, finding business gaps, personalizing outreach, and managing follow-ups across disconnected tools. **The Solution:** We built an end-to-end acquisition workflow covering prospect discovery, multi-source company research, signal interpretation, opportunity and gap detection, AI-generated opportunity reports, lead scoring, personalized outreach, reply and conversation analysis, meeting workflows, pipeline management, proposal generation, and closing, with LLM-powered reasoning turning fragmented business signals into actionable prospect context and next-best actions. **The Result:** AcquisitionOS is currently in private beta, where real-user feedback is driving product refinement and workflow validation as we prepare for broader customer adoption.

A visual architecture simulator for complex cloud systems. **The Problem:** Architectural mistakes are expensive. Testing infrastructure changes often requires deploying them, leading to technical debt and wasted budget. **The Solution:** SystemFoundry allows engineers to "drag-and-drop" infrastructure components. The AI engine then simulates real-world load, calculates projected monthly costs, and identifies potential bottlenecks or security risks before a single line of Terraform is written. **The Result:** Used internally for all client engagements, reducing post-deployment configuration errors by 75% and optimizing initial cloud costs by an average of 20%.

A VS Code extension providing real-time cost feedback for cloud infrastructure. **The Problem:** Developers often don't realize the cost implications of the resources they provision via IaC until the monthly bill arrives. **The Solution:** CodeGuard AI performs static analysis on Terraform and CloudFormation files as they are written. It queries a global pricing engine to show exactly how much each line of code will cost per month, highlighting over-provisioned instances and suggesting cheaper alternatives.