Honor Code, Inc.

Profile updated Aug 2026

Honor Code, Inc. is the developer behind Narcosis, with 1 title on Steam and 1,202 total reviews. The indielist catalog lists Honor Code, Inc. games under a dominant Adventure genre, with Narcosis as its best-known release.

Honor Code, Inc. is an indie game studio. indielist tracks 1 title by Honor Code, Inc., together holding 1,204 Steam reviews. Its most-reviewed game is Narcosis, which holds 1,204 Steam reviews (2017). Across its catalog the studio has worked with 1 publisher, including Honor Code, Inc.. indielist tracks releases from Honor Code, Inc. starting in 2017. This profile sits inside indielist's relationship graph of studios, publishers, and games, so players can find more titles from the same team, developers can compare portfolios and team sizes against peers, and investors can trace which publishers and genres the studio works across. Where Steam review data is available, indielist also publishes a transparent, white-box sales estimate for each of the studio's games, showing the full Boxleiter factor breakdown rather than a single black-box number, so the commercial picture behind Honor Code, Inc. can be audited rather than taken on trust.

On the business side, Honor Code, Inc. has shipped with 1 publisher (Honor Code, Inc.), and indielist maps each of those relationships as an edge in its studio-to-publisher-to-game graph. That matters to two audiences in particular: an investor can trace which labels have backed this studio and how that roster has changed over time, while a developer can see which publishers are already comfortable signing work in the studio's genres before deciding where to send a pitch. This is the kind of sourcing intelligence that is slow and tedious to reconstruct from Steam store pages alone, because the storefront never exposes who introduced whom. Each linked publisher page in turn lists its full roster, deal tier, and current submission status, so the network around Honor Code, Inc. can be walked outward in either direction rather than read as a flat, disconnected list.