Intelligence that never leaves your silicon.
Run powerful, deep reasoning language models 100% offline on your Apple Silicon Mac and Windows PC. Zero cloud latency, zero token subscriptions, and absolute data privacy.
Find Your Optimal Local Model Tier
Configure your workstation hardware specs to view instant memory footprint recommendations, token execution rates, and verified status.
Recommended for code generation, multi-page parsing, and SQL generation
Engineered for Complete Enterprise Autonomy
How VEDA Desktop bridges physical workstation silicon, quantized weights, and local developer applications.
Zero Cloud Egress
Prompts, documents, and corporate records never leave your physical device. Operates in total air-gapped environments without outbound calls.
Unified Silicon Acceleration
Direct integration with Apple Silicon Metal and Windows DirectML. Memory shared seamlessly between CPU, GPU, and Neural Engine.
Standard localhost:11434 API
Full drop-in replacement for OpenAI and Ollama clients. Connect your existing Python, LangChain, or Node applications with one URL change.
Enterprise Audit Governance
Every query, token execution, and output is logged locally to an encrypted database on your workstation for compliance and record-keeping.
Test the Local VEDA API in Real Time
Query the simulated offline endpoint running on localhost:11434. Experience instant token latency with zero cloud egress.
Download VEDA for Your Workstation
Zero cloud accounts required. Download the native binary package for your operating system and start running local intelligence in minutes.
macOS Apple Silicon
Optimized for M1, M2, M3 & M4 unified memory with native Metal shaders.
Windows 10 / 11 64-bit
DirectML GPU acceleration and AVX2 CPU fallback for physical PC workstations.
Linux x86_64
CLI daemon and headless runtime for on-premises enterprise workstations and servers.
Frequently Asked Questions
Everything you need to know about sovereign local model execution, offline security, and hardware requirements.
Does VEDA require any internet connection after installation?
No. VEDA Desktop 1.0 is engineered for 100% offline local execution. Model weights are stored on your local disk and loaded directly into RAM/Unified Memory during inference. Once downloaded, it operates in completely air-gapped environments with zero network packets sent.
Are there any per-token fees or monthly usage subscriptions?
Zero fees. Because model inference is powered entirely by your local device CPU, GPU, and Neural Engine, Access On AI incurs zero server costs and charges zero per-token or per-request API fees.
Which hardware platforms are supported today?
Official releases support Apple Silicon Macs (M1, M2, M3, M4 across Air, Pro, Studio, and Mini) with native Metal acceleration, as well as Windows 10/11 64-bit systems with DirectML and AVX2 instruction sets. Minimum 8 GB RAM required, 16 GB+ recommended.
Can I connect my own Python scripts or local tools to VEDA?
Yes. VEDA provides a local HTTP endpoint running on localhost:11434 (compatible with standard Ollama and OpenAI request schemas). You can query it via cURL, Python, Node.js, or standard HTTP client libraries without third-party API keys.
How does VEDA relate to AI Madhav?
VEDA is Access On AI's sovereign local AI engine for private, offline, workstation execution. AI Madhav (aimadhav.in) is our connected intelligent workspace for cloud-scale research and multi-modal collaboration. You can use VEDA standalone offline or bridge them seamlessly.
