SUM

AI systems that prove what they know. Not guess. From knowledge engines grounded in number theory to production platforms across healthcare, commerce, and research.

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About SUM

Abstract knowledge graph visualization with glowing nodes and mathematical symbols

SUM Equities builds production software across AI, healthcare, and knowledge systems. The portfolio spans 16 deployed applications — from a Gödel-state knowledge engine grounded in number theory, to HIPAA-compliant medical AI, to a cross-platform consumer kitchen management system shipping to iOS, Android, and web.

The work ranges from low-level systems programming (Rust, Zig/WASM) through full-stack web platforms (TypeScript, React, Next.js) to AI/ML pipelines (DSPy, multi-model orchestration, vector search). Everything ships to production — deployed primarily on Cloudflare's edge network, Supabase, and Vercel.

The common thread: taking complex technical ideas and turning them into working systems that people actually use. Not research papers — software.

Core Technologies

TypeScript Python/FastAPI Rust Next.js 15 React / React Native Cloudflare Workers Supabase PostgreSQL / pgvector OpenAI / Claude / Gemini DSPy Zig/WASM Redis

work

SUM — Verifiable Bidirectional Knowledge Distillation

In development

Cross-runtime trust surface for LLM-rendered text: Python, Node, and browser runtimes produce byte-identical Ed25519 signatures over JCS-canonical bytes.

Chefrson home — 'Tonight's dinner, from what you already have plus one stop.' Cooking-consistency calendar, recent activity, ChefGPT, and pantry/markets inventory visible in one view.

Chefrson — Smart Kitchen Management Platform

Beta

Cross-platform kitchen management: pantry capture, recipe extraction from any source, AI meal suggestions. Android closed beta; public launch in progress.

HFAO CLI dashboard — live storage + ingest health, recent traces table

HFAO — Hugging Face Agent Observatory

In development

Open-source, standards-native agent observability backend. OpenTelemetry GenAI + OpenInference on ingest, MCP-native query surface, closed eval-trace loop. Apache-2.0.

Explore All Projects

11 projects · 2 production · 2 beta

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