Famous software or companies built with Lisp

Checked on January 13, 2026
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Executive summary

Lisp has powered both pioneering products and obscure but influential engineering systems from the 1960s to today: commercial Lisp machines and companies like Symbolics, mission-critical aerospace and scheduling software at NASA, and modern services such as ITA’s airfare engine and Grammarly’s grammar engine all have clear Lisp pedigrees [1] [2] [3] [4]. While Lisp is no longer mainstream for consumer apps, a steady ecosystem of companies and projects continues to use Common Lisp and other dialects for specialized, high-leverage systems in AI, scientific computing, quantum research and developer tooling [5] [6] [4].

1. The 1980s giants: Lisp machines and Symbolics rewrote what software could do

In the heyday of specialized hardware for AI research, companies like Symbolics commercialized Lisp Machines that bundled a Lisp environment with bit-mapped displays, windowing and animation tools, enabling a class of interactive, graphics-heavy applications that were otherwise hard to build on general-purpose machines [1]. That era helped solidify Lisp’s reputation for enabling rapid experimentation in AI and human–computer interaction, even as the commercial Lisp-machine market later contracted [1].

2. Airline search, scheduling and space missions: mission-critical Lisp

Multiple high-profile engineering and aerospace systems were implemented in Common Lisp: NASA’s Deep Space 1 autopilot and mission-planning systems such as Mars Pathfinder and SPIKE for observatory scheduling are documented examples of Lisp in production for space operations [2]. In commercial travel tech, ITA Software’s airfare search and scheduling platform — historically cited as a standout Lisp application — became a backbone for large-scale fare computation before and after its acquisition by Google [3] [4].

3. Modern enterprise and AI: Grammarly, Ravenpack, and niche innovators

Contemporary companies continue to run critical codebases in Common Lisp: Grammarly’s core grammar engine and RavenPack’s analytics tooling are among cited modern engines built with Lisp technology, demonstrating that the language still underpins large language-processing and analytics systems [2] [4]. Startups and smaller firms — including document-processing companies and firms in quantum and scientific research — also report active Common Lisp use in production code [4] [5].

4. Research, quantum computing and specialized toolchains

Lisp survives in research-heavy domains where expressivity and rapid prototyping matter: D-Wave has reported using Common Lisp (SBCL) as part of its quantum stack, and laboratories and R&D groups employ SBCL and other implementations for compiler and algorithm work [4] [5]. Academic and open-source projects — from audio composition systems to symbolic algebra implementations like Maxima — further show Lisp’s enduring place in domain-specific toolchains [6] [7].

5. Developer tooling and extensibility: Emacs, SKILL and domain scripting

Lisp dialects are also embedded as extensibility layers inside larger systems: Emacs’s extensibility is driven by Emacs Lisp, making it a canonical example of a massively extensible editor built around Lisp [8]. In electronic design automation and CAD, Autodesk’s SKILL (a Lisp descendant) has been used as a scripting language for complex EDA workflows, illustrating how Lisp family languages often survive as domain-specific scripting engines [9].

6. Why Lisp shows up where it matters — and where reporting exaggerates

The common thread across these examples is not mass-market ubiquity but strategic concentration: Lisp tends to appear in systems that benefit from high expressiveness, live development and symbolic processing, from aerospace scheduling to language engines [2] [4]. Popular narratives sometimes overclaim broad dominance (for example suggesting Lisp built “AI” in general); the evidence points instead to selective but deep use in high-leverage systems and in research contexts where those language features pay off [3] [1].

7. The ecosystem today: companies, community lists and living projects

Community-maintained directories and curated “awesome” lists catalog active Lisp companies and projects — from AllegroGraph and commercial Lisp vendors to GitHub collections and company pages — which are practical resources for tracing who uses Lisp now and for what [9] [6] [5]. Those lists show a dispersed but resilient ecosystem: aerospace, finance, developer tools, music and scientific computing remain visible pockets where Lisp is chosen deliberately rather than by accident [6] [5] [4].

Want to dive deeper?
Which specific parts of Grammarly are implemented in Common Lisp and why was it chosen?
What products originated on Lisp machines and have surviving descendants today?
How do companies migrate or interoperate when core systems are implemented in Lisp?