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Software Systems
Production-grade software built for reliability, scale, and maintainability. Tools and platforms that solve real problems.
An independent technology & research lab. Software, AI-driven systems, data-centric tools.
See what we've shippedEach one runs in production today, on public data, with its own domain. Pick one and use it.
Live measured wind for New York Harbor and Long Island Sound. Not a forecast — what the stations are reporting right now, with the age of every reading on screen.
A Chrome extension that puts rent-stabilization and orientation badges directly on NYC apartment listings, so renters can triage StreetEasy and Zillow without opening every page.
Financial influencers make calls in public. Finclator extracts each one, scores it against price history once the horizon matures, and folds the trust-weighted vote into a single Buy / Neutral / Sell matrix.
Working builds we use ourselves. Public, but still moving.
Multiplayer race Sudoku. Everyone shares one board; the first correct digit in a cell claims it. Bots to practice against, a daily puzzle, and a league table.
Realtime · GamesAn unattended publishing pipeline for a curated film catalogue. Each day a scheduled job selects an unpublished title, resolves it against TMDB and OMDb, renders a poster card with synopsis and ratings, posts it to Instagram and writes the result back to the catalogue. Runs daily with no manual steps.
Automation · Media pipelineInheritance-share calculator under the Turkish Civil Code: the parentela (zümre) system, the surviving spouse's share, reserved portions, and a choice of marital property regime.
Legal · ComputationPersonal finance on World App (MiniKit): shared expenses, net balances and on-chain settlement, with anomaly detection on spending patterns.
Finance · World AppComing up. A track rather than a product.
Protocogni Labs is an independent technology and research lab focused on building software, AI-driven systems, and data-centric tools across finance, intelligence, and applied computation.
We work at the intersection of software engineering, machine learning, and data infrastructure. Our focus is on systems that function reliably when deployed—where technical depth and system reliability determine outcomes.
What we build
Production-grade software built for reliability, scale, and maintainability. Tools and platforms that solve real problems.
Machine learning and AI systems designed for deployment. Decision architectures, reasoning systems, and intelligent automation.
Infrastructure for collecting, processing, and deriving insight from data. Signal aggregation, analytics, and data pipelines.
Financial technology, market analysis tools, and computational systems for economic decision-making.
Systems for information synthesis, pattern recognition, and knowledge extraction from complex data sources.
Computational methods applied to real-world problems. Algorithms and systems that bridge theory and practice.