Need smarter insights in your inbox? Join our weekly newsletters to get solely what issues to enterprise AI, information, and safety leaders. Subscribe Now
Liquid AI, the startup fashioned by former Massachusetts Institute of Expertise (MIT) researchers to develop novel AI mannequin architectures past the widely-used “Transformers“, at the moment introduced the discharge of LEAP aka the “Liquid Edge AI Platform,” a cross-platform software program improvement equipment (SDK) designed to make it simpler for builders to combine small language fashions (SLMs) straight into cell functions.
Alongside LEAP, the corporate additionally launched Apollo, a companion iOS app for testing these fashions regionally, furthering Liquid AI’s mission to allow privacy-preserving, environment friendly AI on shopper {hardware}.
The LEAP SDK arrives at a time when many builders are searching for alternate options to cloud-only AI providers attributable to considerations over latency, value, privateness, and offline availability.
LEAP addresses these wants head-on with a local-first strategy that permits small fashions to run straight on-device, lowering dependence on cloud infrastructure.
Constructed for cell devs with no prior ML expertise required
LEAP is designed for builders who need to construct with AI however could not have deep experience in machine studying.
In accordance with Liquid AI, the SDK might be added to an iOS or Android challenge with only a few traces of code, and calling a neighborhood mannequin is supposed to really feel as acquainted as interacting with a conventional cloud API.
“Our analysis reveals builders are transferring past cloud-only AI and searching for trusted companions to assist them construct on-device,” stated Ramin Hasani, co-founder and CEO of Liquid AI, in a weblog submit asserting the information at the moment on Liquid’s web site. “LEAP is our reply—a versatile, end-to-end deployment platform constructed from the bottom as much as make highly effective, environment friendly, and personal edge AI really accessible.”
As soon as built-in, builders can choose a mannequin from the built-in LEAP mannequin library, which incorporates compact fashions as small as 300MB — light-weight sufficient for contemporary telephones with as little as 4GB of RAM (!!) and up.
The SDK handles native inference, reminiscence optimization, and gadget compatibility, simplifying the standard edge deployment course of.
LEAP is OS- and model-agnostic by design. At launch, it helps each iOS and Android, and presents compatibility with Liquid AI’s personal Liquid Basis Fashions (LFMs) in addition to many widespread open-source small fashions.
The aim: a unified ecosystem for edge AI
Past mannequin execution, LEAP positions itself as an all-in-one platform for locating, adapting, testing, and deploying SLMs for edge use.
Builders can browse a curated mannequin catalog with varied quantization and checkpoint choices, permitting them to tailor efficiency and reminiscence footprint to the constraints of the goal gadget.
Liquid AI emphasizes that enormous fashions are usually generalists, whereas small fashions typically carry out finest when optimized for a slender set of duties. LEAP’s unified system is structured round that precept, providing instruments for speedy iteration and deployment in real-world cell environments.
The SDK additionally comes with a developer neighborhood hosted on Discord, the place Liquid AI presents workplace hours, help, occasions, and competitions to encourage experimentation and suggestions.
Apollo: like Testflight for native AI fashions
To enrich LEAP, Liquid AI additionally launched Apollo, a free iOS app that lets builders and customers work together with LEAP-compatible fashions in a neighborhood, offline setting.
Initially a separate cell app startup that allowed customers to speak with LLMs privately on gadget, which Liquid acquired earlier this 12 months, Apollo has been rebuilt to help your entire LEAP mannequin library.
Apollo is designed for low-friction experimentation — builders can “vibe verify” a mannequin’s tone, latency, or output habits proper on their telephones earlier than integrating it right into a manufacturing app. The app runs solely offline, preserving person privateness and lowering reliance on cloud compute.
Whether or not used as a light-weight dev device or a non-public AI assistant, Apollo displays Liquid AI’s broader push to decentralize AI entry and execution.
Constructed on the again of the LFM2 mannequin household introduced final week
LEAP SDK launch builds on Liquid AI’s July 10 announcement of LFM2, its second-generation basis mannequin household designed particularly for on-device workloads.
LFM2 fashions are available in 350M, 700M, and 1.2B parameter sizes, and benchmark competitively with bigger fashions in pace and accuracy throughout a number of analysis duties.
These fashions kind the spine of the LEAP mannequin library and are optimized for quick inference on CPUs, GPUs, and NPUs.
Free and prepared for devs to start out constructing
LEAP is presently free to make use of beneath a developer license that features the core SDK and mannequin library.
Liquid AI notes that premium enterprise options shall be made out there beneath a separate business license sooner or later, however that it’s taking inquiries from enterprise prospects already by way of its web site contact kind.
LFM2 fashions are additionally free for educational use and business use by corporations with beneath $10 million in income, with bigger organizations required to contact the corporate for licensing.
Builders can get began by visiting the LEAP SDK web site, downloading Apollo from the App Retailer, or becoming a member of the Liquid AI developer neighborhood on Discord.
