
Build Gallery
Proprietary builds demonstrating the transition from basic automation to agentic systems of intelligence.
The Revenue Velocity Agent
Stop the "Speed-to-Lead" Decay
Most high-volume teams lose revenue because their best closers are bogged down in manual lead research and qualification. This autonomous system replaces "best-guess" triage with a deterministic Data-Brain-Muscle framework, ensuring your sales team is only ever talking to high-intent, qualified prospects. It transforms your CRM into a real-time routing engine that capitalizes on opportunities while the trail is still hot.

The Strategic Research Engine
Weaponized Intelligence for Every Meeting
Generic research results in generic pitches. This build uses a targeted FIGUR Engine (Fact, Impact, and Act) to strip away digital noise and uncover the technical "smoking guns" that drive high-stakes deals. By delivering a hyper-personalized briefing within 180 seconds, it enables your team to lead with a sophisticated opening move rather than a surface-level summary.

The Adaptive Discovery Engine
Beyond the Filter: Predictive Interest Modeling
Traditional search experiences rely on rigid filters that fail to capture human nuance. This foundational build introduced a machine-learning-driven approach to discovery, replacing static inputs with an adaptive image-classification loop. By engineering a system that reasons through visual style and buyer behavior, we achieved 90% classification accuracy for property styles. This project serves as the blueprint for our current work in situational intelligence and high-fidelity recommendation systems.
The Context-Aware Knowledge Base
Enterprise-Grade RAG for Organizational Intelligence
Standard internal search provides links; this system provides answers. By engineering a custom Agentic RAG architecture, we’ve moved beyond simple document retrieval into situational reasoning. This build indexes fragmented internal data silos and legacy documentation into a centralized, conversational brain that allows your team to query complex operational logic with 99% accuracy.
