Founder & CEO, Sigilix

github

Daniel Martinez  • Peerlist

Sigilix is an AI engineering intelligence platform built around codebase context, model reasoning, and trusted developer workflows. Instead of treating every pull request, CLI session, or code question as a separate one-off interaction, Sigilix connects them through a shared Believability Algorithm that helps the system understand what is true, what matters, what should be remembered, and what is safe to act on inside a real codebase.When a team installs Sigilix on GitHub, the system indexes the repository and starts building a working understanding of the codebase, team patterns, prior commits, engineering decisions, and important interactions. That context powers multiple product surfaces: AI pull request review, inline GitHub Q&amp;A, CLI reviews for uncommitted code, repo-grounded developer chat, triage workflows, and optional team memory. The goal is simple: make AI more useful for software teams by grounding it in the actual codebase instead of forcing a general model to guess from limited context.Sigilix also includes Empyrean, our model line for codebase-aware software intelligence. Boreas, our first public Empyrean model, is a flash-class model designed for fast, low-cost engineering reasoning when paired with Sigilix’s codebase context. We are also working on three additional specialized models inside the Empyrean family, each focused on making AI software workflows more accurate, cheaper, and more useful for real engineering teams.We believe the future of AI in software is not just bigger models. It is models that understand the systems they are working inside. Today’s AI coding tools can help teams write code faster, but they also create more code to review, more context to manage, higher inference costs, and more uncertainty around what is safe to ship. Sigilix is built to solve that problem by combining repo indexing, believability scoring, memory, review, triage, CLI interaction, and codebase-aware models into one connected system.Sigilix is currently opening to private beta design partners. Early users can test the GitHub app, PR review, CLI workflows, repo-grounded Q&amp;A, triage assistance, and the first Empyrean model workflows. If your team is using AI to build software and wants lower noise, stronger codebase understanding, and more confidence in what gets shipped, Sigilix is built for you.

Sigilix

A functional flight tracker with EST. Arrival and Departure time. Also had Km traveled with necessary flight information provided. (Km traveled and remaining, Flight #, Airport destination, Company Airline, etc.)

Flight Tracker

Implemented core physics concepts to a model realistic interactions, including gravity, friction, and elastic/inelastic collisions.

Physics Engine

Created a game using JavaScript and HTML/CSS. This game challenges the users to compete against an AI that’s purpose is to not be beaten.