Decompute’s cover photo
Decompute

Decompute

Technology, Information and Internet

Cupertino, California 2,507 followers

Decentralize your enterprise AI to scale

About us

Decompute is the first company in the world to fine-tune powerful AI models locally on as little as 1 GB of VRAM (Checkout our latest blog on AtlasTune). Our flagship platform, BlackBird, lets users build fully on-device AI agents, already downloaded over 20K+ times in its first week—specialized in finance, legal, coding, voice, image generation and beyond. We outperformed cloud-first players like Perplexity and Julius in complex, multimodal, long-form document analysis—while running entirely offline on a Mac Air using our own proprietary models. Our model footprint scales down to just 350M parameters, surpassing Phi and others, and runs efficiently on both CPUs and GPUs.Enterprise edition available now. Contact us for your on-prem/on-device AI needs. Reform, Rise and Reclaim.

Website
https://decompute.run
Industry
Technology, Information and Internet
Company size
2-10 employees
Headquarters
Cupertino, California
Type
Privately Held

Locations

Employees at Decompute

Updates

  • Decompute reposted this

    Most “AI agents” assume one big data lake.
Real enterprises don’t look like that at all. Data is split across business units, countries, subsidiaries, and partners – with hard legal and contractual lines between them. Those structural privacy boundaries are exactly where most agent platforms break: they either centralize data in one cloud, or they give up on truly cross‑org intelligence. BlackBird Enterprise takes the opposite approach, built on our patented technology: * Treats each boundary (region, business unit, institution) as a first‑class privacy domain, not an afterthought * Lets data, logs, and model states stay inside those domains, while the agent coordinates through high‑level signals instead of raw data * Gives security and compliance teams clear answers to: Where does this run? What crosses the line? Who can see what? The result is a single agent “brain” that can work across teams, regions, and even organizations without asking anyone to collapse their boundaries or hand over their crown‑jewel datasets. We think the next generation of enterprise AI won’t be decided by who has the biggest model, but by who can operate across the most boundaries with the least trust required. #Privacy #Security #SafeAI #AIAgent #EnterpriseAI

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  • Decompute reposted this

    View organization page for Decompute

    2,507 followers

    Excited to share what we’ve been building at Decompute for our Fortune 500 customers across the globe 🚀 We’re introducing BlackBird Enterprise — a structurally private AI platform that runs where your data already lives: on devices, on-prem, and in your own cloud. It’s designed for teams that can’t compromise on: • Data residency & compliance, guard-railing and security • Structural privacy by design • On-device / on-prem AI for real workloads (RAG, document understanding, copilots, and more) • Distributed inference and training for on-prem cloud, DGX, multi-tenant • SLA-aware scheduling for multi-stage AI agent workloads • Hybrid edge/cloud workload partitioning for performance + TCO gains • Supports multiple files, folders, knowledge bases, Microsoft Excel, Sharepoint, Google Drive and third-party apps like Confluence, Notion and more. • Supports voice transcription, summarization and Q&A. • Decompute's own model family Nebula-S with reasoning core, that beats Qwen and DeepSeek, on tasks like MMLU, ARC, GSM8K benchamrks. If your org is navigating AI + privacy + cost , this is for you 👇 https://lnkd.in/gpQViNkn #AI #EnterpriseAI #PrivacyByDesign #OnDeviceAI #GenAI

  • Decompute reposted this

    View organization page for Decompute

    2,507 followers

    Excited to share what we’ve been building at Decompute for our Fortune 500 customers across the globe 🚀 We’re introducing BlackBird Enterprise — a structurally private AI platform that runs where your data already lives: on devices, on-prem, and in your own cloud. It’s designed for teams that can’t compromise on: • Data residency & compliance, guard-railing and security • Structural privacy by design • On-device / on-prem AI for real workloads (RAG, document understanding, copilots, and more) • Distributed inference and training for on-prem cloud, DGX, multi-tenant • SLA-aware scheduling for multi-stage AI agent workloads • Hybrid edge/cloud workload partitioning for performance + TCO gains • Supports multiple files, folders, knowledge bases, Microsoft Excel, Sharepoint, Google Drive and third-party apps like Confluence, Notion and more. • Supports voice transcription, summarization and Q&A. • Decompute's own model family Nebula-S with reasoning core, that beats Qwen and DeepSeek, on tasks like MMLU, ARC, GSM8K benchamrks. If your org is navigating AI + privacy + cost , this is for you 👇 https://lnkd.in/gpQViNkn #AI #EnterpriseAI #PrivacyByDesign #OnDeviceAI #GenAI

  • View organization page for Decompute

    2,507 followers

    Excited to share what we’ve been building at Decompute for our Fortune 500 customers across the globe 🚀 We’re introducing BlackBird Enterprise — a structurally private AI platform that runs where your data already lives: on devices, on-prem, and in your own cloud. It’s designed for teams that can’t compromise on: • Data residency & compliance, guard-railing and security • Structural privacy by design • On-device / on-prem AI for real workloads (RAG, document understanding, copilots, and more) • Distributed inference and training for on-prem cloud, DGX, multi-tenant • SLA-aware scheduling for multi-stage AI agent workloads • Hybrid edge/cloud workload partitioning for performance + TCO gains • Supports multiple files, folders, knowledge bases, Microsoft Excel, Sharepoint, Google Drive and third-party apps like Confluence, Notion and more. • Supports voice transcription, summarization and Q&A. • Decompute's own model family Nebula-S with reasoning core, that beats Qwen and DeepSeek, on tasks like MMLU, ARC, GSM8K benchamrks. If your org is navigating AI + privacy + cost , this is for you 👇 https://lnkd.in/gpQViNkn #AI #EnterpriseAI #PrivacyByDesign #OnDeviceAI #GenAI

  • Decompute reposted this

    Looks like AI keeps getting more interesting at the edge. I being testing Blackbird by Decompute it at the most simple an AI that runs locally on your desktop. What caught my attention is how this aligns with NVIDIA’s latest research, where they highlight that Small Language Models (SLMs) can actually outperform LLMs in certain use cases like in terms of speed, efficiency, and adaptability. This may be the start of a big wave, moving from heavy, cloud-only LLMs to smaller, and more personal AI that scales with individual and enterprise needs. Let's see how many companies and professionals will start adopting this SLM-first approach for those curios to read the all papper https://lnkd.in/gHJBFVGM

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  • Decompute reposted this

    Looks like AI keeps getting more interesting at the edge. I being testing Blackbird by Decompute it at the most simple an AI that runs locally on your desktop. What caught my attention is how this aligns with NVIDIA’s latest research, where they highlight that Small Language Models (SLMs) can actually outperform LLMs in certain use cases like in terms of speed, efficiency, and adaptability. This may be the start of a big wave, moving from heavy, cloud-only LLMs to smaller, and more personal AI that scales with individual and enterprise needs. Let's see how many companies and professionals will start adopting this SLM-first approach for those curios to read the all papper https://lnkd.in/gHJBFVGM

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  • 🚀 Exciting news! We’ve just shipped a new update for the BlackBird SDK, packed with powerful features driven by your feedback. Now, building on-device AI agents is easier and more seamless than ever — all with just a few lines of code. Here’s what’s new: ✨ Support for Retrieval-Augmented Generation (RAG) and fine-tuning on-device across multiple files and folders ✨ Continuous or nightly fine-tuning updates on specified folders for smooth, up-to-date training ✨ Multi-model support — run and combine multiple AI models effortlessly Plus, we’ve fixed some bugs: 🔧 Fine-tuning invocation issues resolved 🎙️ Voice agents and live recording support improvements Try out the limited version on GitHub and start building private, high-performance AI agents on-device today: https://lnkd.in/gGUPyRTH Download our professional version here for Windows and macOS here: https://lnkd.in/gk-aGjH6 Thank you for your feedback and continued support — we’re just getting started! #OnDeviceAI #BlackBirdSDK #AIagents #EdgeComputing #PrivacyFirst

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