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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:21 PM
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TL;DR
Seed (YC)Cactus - On-device AI for Smartphones, Laptops & Edge One inference engine for on-device AI across smartphones, laptops, and edge hardware
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jun 2025). Investors: Y Combinator. (High).
Funding
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jun 2025). Investors: Y Combinator. (High).
Product / news
7 product/news‑styled row(s); headline risk without filings (High).
Verified facts
+5 more in Recent movement below
Summer 2025 batch; low-latency on-device AI engine for mobile and wearables.
Weak funding evidence: mention does not include a parsed raise amount/round and may refer to non-funding context.
No open roles indexed yet.
The index price and activity score are algorithmic estimates based on observed public company-level signals. They may be incomplete, stale, or inaccurate and are not investment, legal, tax, or business advice.
Cactus:reddit_credentials_not_configured
Source types found
Strongest / recent news-style rows
Wed, May 20, 06:21 PM · confidence 88%high quality
wikipedia · Sun, Jun 28, 08:24 PM · confidence 50%medium quality
wikipedia · Sun, Jun 28, 08:24 PM · confidence 50%medium quality
Newest first · 23 event(s)
Source: Blog
Deep dives into on-device AI, inference optimization, and running models on smartphones, laptops, and edge hardware.
Source: Homepage
One inference engine for on-device AI across smartphones, laptops, and edge hardware. Run LLMs, transcription, and embeddings locally with automatic cloud fallback.
Source: official_site
Cactus - On-device AI for Smartphones, Laptops & Edge Cactus Hybrid Cloud On-device AI Docs Blog Talk to us ⌘K Sign in Get Started [NEW] | Needle: a 26M tool-calling model distilled from Gemini Read more Backed by On-device AI with cloud fallback Deploy s…
Source: official_site
Engineering Blog | Cactus Cactus Hybrid Cloud On-device AI Docs Blog Talk to us ⌘K Sign in Get Started [NEW] | Needle: a 26M tool-calling model distilled from Gemini Read more Cactus Blog Deep dives into on-device AI, inference optimization, and the engineeri…
Summer 2025 batch; low-latency on-device AI engine for mobile and wearables.
One inference engine for on-device AI across hardware targets.
Source: Blog / news
A simplified offline variant of TurboQuant using Hadamard rotation and per-group Lloyd-Max codebooks — 4× compression of per-layer embeddings in Gemma 4 E2B at +0.06 PPL.
Source: Blog / news
Review of NVIDIA's Parakeet-CTC-1.1B model running locally on Mac with Cactus. Architecture breakdown, benchmarks, and transcription use cases.
Source: Blog / news
Benchmarking Liquid's LFM-2.5-350m across seven devices with Cactus. INT8 quantization, single-core CPU decode, zero-copy loading, and why this configuration makes on-device inference practical.
Source: Blog / news
Review of LiquidAI's LFM2-24B-A2B mixture-of-experts model running locally on Mac with Cactus. Architecture breakdown, benchmarks, and coding agent use cases.
Source: Blog / news
How Cactus combines on-device and cloud inference for real-time speech transcription with sub-150ms latency and automatic cloud handoff for noisy audio.
Source: Blog / news
Gemma 4 runs natively on your device with real-time voice, vision, and audio, and routes hard problems to the cloud when it should.
Source: Blog / news
Deep dives into on-device AI, inference optimization, and running models on smartphones, laptops, and edge hardware.
Source: npm_registry
Create a new Stock Management System (Cactus)
Source: npm_registry
Cactus (needle-rs) tool-calling provider for @workglow/ai.
Source: npm_registry
Universal library used by both front end and back end components of Cactus. Aims to be a developer swiss army knife.
Source: npm_registry
Allows Cactus nodes to create DLT views using Cactus connectors
Source: npm_registry
Allows Cactus nodes to connect to a Fabric ledger.
Source: hackernews
Source: hackernews
Open-source low-latency mobile AI engine.
4 row(s)
The company's own site — the authoritative description of what they sell and to whom. Marketing-controlled, so treat claims as positioning rather than verified traction.
One inference engine for on-device AI across smartphones, laptops, and edge hardware. Run LLMs, transcription, and embeddings locally with automatic cloud fallback.
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Cactus - On-device AI for Smartphones, Laptops & Edge Cactus Hybrid Cloud On-device AI Docs Blog Talk to us ⌘K Sign in Get Started [NEW] | Needle: a 26M tool-calling model distilled from Gemini Read more Backed by On-device AI with cloud fallback Deploy s…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Engineering Blog | Cactus Cactus Hybrid Cloud On-device AI Docs Blog Talk to us ⌘K Sign in Get Started [NEW] | Needle: a 26M tool-calling model distilled from Gemini Read more Cactus Blog Deep dives into on-device AI, inference optimization, and the engineeri…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗One inference engine for on-device AI across hardware targets.
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗2 row(s)
Third-party press coverage. Independent reporting corroborates company claims; repeated coverage across outlets is a momentum signal.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗1 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
Summer 2025 batch; low-latency on-device AI engine for mobile and wearables.
Why it matters: Funding signal — Pre-Seed per this source; verify against the linked original before relying on it.
Open source ↗8 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
Create a new Stock Management System (Cactus)
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Cactus (needle-rs) tool-calling provider for @workglow/ai.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Universal library used by both front end and back end components of Cactus. Aims to be a developer swiss army knife.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Allows Cactus nodes to create DLT views using Cactus connectors
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Allows Cactus nodes to connect to a Fabric ledger.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Open-source low-latency mobile AI engine.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗8 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
Deep dives into on-device AI, inference optimization, and running models on smartphones, laptops, and edge hardware.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗A simplified offline variant of TurboQuant using Hadamard rotation and per-group Lloyd-Max codebooks — 4× compression of per-layer embeddings in Gemma 4 E2B at +0.06 PPL.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Review of NVIDIA's Parakeet-CTC-1.1B model running locally on Mac with Cactus. Architecture breakdown, benchmarks, and transcription use cases.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Benchmarking Liquid's LFM-2.5-350m across seven devices with Cactus. INT8 quantization, single-core CPU decode, zero-copy loading, and why this configuration makes on-device inference practical.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Review of LiquidAI's LFM2-24B-A2B mixture-of-experts model running locally on Mac with Cactus. Architecture breakdown, benchmarks, and coding agent use cases.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How Cactus combines on-device and cloud inference for real-time speech transcription with sub-150ms latency and automatic cloud handoff for noisy audio.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Gemma 4 runs natively on your device with real-time voice, vision, and audio, and routes hard problems to the cloud when it should.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Deep dives into on-device AI, inference optimization, and running models on smartphones, laptops, and edge hardware.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Sign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.