Evidence Before Claims
Production AI case studies with metrics, named technologies, and engineering decisions. Start with your constraint: reliability, cost, governance, latency, or delivery risk.
Validate & Govern High-Stakes Systems
Proof for enterprise review, governance architecture, and systems where working output still needs trusted, explainable decisions.
Axion Engine: Adversarial R&D Operating System
Domain-agnostic R&D pipeline where three models attack each other's output across CS, clinical medicine, and IoT firmware.
Enterprise Data Governance & Document Classification Platform
We engineered a smart document classification and anomaly detection system for an enterprise client, enabling automated GDPR compliance through ML-driven categorization of corporate files across multiple languages.
Real-time anomaly detection processing 2.4M events/day with 70% fewer false positives
How we built a real-time anomaly detection pipeline processing 2.4M events/day using Kafka, Isolation Forest, and foundation models. False positive rate reduced from 68% to under 20%.
Build Agent Systems For Live Use
Proof for teams shipping agents, HITL workflows, RAG systems, operational intelligence infrastructure, and automation into environments with real users and real failure cost.
Building a Governed Voice Agent for Real Business Meetings
How ActiveWizards built Vox, an internal voice-agent reference platform focused on meeting presence, silence policy, approved context, interruption handling, and reviewable artifacts.
Autonomous PPC Engine with 72-Hour Signal Lead Time
Real-time signal intelligence from GitHub Issues and StackOverflow, dual-angle creative, and edge-deployed landing pages at 15ms TTFB.
Competitor Intelligence Agent: Structured Research Workflow
Multi-agent system for repeatable competitive analysis across pricing, features, and positioning with structured Pydantic-validated output.
Codebase Analysis Agent: 30 Seconds to First Answer
Language-aware chunking with Tree-sitter, FAISS vector retrieval, and LLM reasoning. 30 seconds from upload to first contextual answer on any codebase.
Aporia: Governed Threat Intelligence Research Assistant
We built an analyst-supervised research assistant that organizes public-source security context into structured, reviewable reports for defensive research workflows.
Pagezilla: Governed Technical Content Pipeline
Multi-model LLM pipeline with Pydantic validators, generated D2 diagrams, and HITL review for reviewable technical publishing.
Signals: Multi-Channel Intelligence Pipeline
Server-orchestrated intelligence pipeline that turns source monitoring into email briefings, a searchable web archive, RSS surfaces, and platform-specific discussion posts.
Scale Data & AI Platforms
Proof for buyers evaluating real-time data infrastructure, computer vision systems, and production AI platforms with downstream operating dependencies.
Real-Time IoT Analytics Platform for Smart Agriculture
We built a real-time streaming analytics platform for an AgriTech startup, processing live GPS data from farming equipment to track field coverage, calculate equipment utilization, and deliver dynamic ETAs to mobile devices.
High-Throughput Real-Time Facial Recognition Platform
Distributed facial recognition system processing millions of concurrent video streams with >97% accuracy using FaceNet embeddings, Kafka streaming, and k-NN matching.
AI-Powered Video Interviewing & Candidate Analysis Platform
We built an end-to-end video interviewing platform with real-time speech-to-text transcription, automated resume parsing, and semantic search — enabling recruiters to find key candidate responses in seconds.
Telos: Deterministic AI Video Infrastructure
Cinema-grade AI video engine with strict temporal logic, locked character persistence, and fully deterministic latent space navigation. Every frame is intentional.
Let's architect your next system
Send the system context, constraints, and pressure. A Principal Engineer reviews it and recommends the next step.
What you get back
- 1. Diagnosis What works, what is blocked, and why.
- 2. Recommendation Audit, advisory, sprint, or pause.
- 3. Scope Next action, boundaries, and timing.
No SDRs. A Principal Engineer reviews every submission.
From the team behind Production-Ready AI Agents (Amazon, 2025)