Noema

Noema is a local first AI assistant built exclusively for Apple devices that runs language models entirely on device without sending data to external servers. The application supports iPhone, iPad, Mac, and Vision Pro, making it one of the few AI assistants that works across Apple's entire ecosystem while maintaining complete privacy. Unlike cloud based alternatives that process queries on remote servers and retain conversation data in their systems, Noema executes inference locally using the device's own hardware. This architecture means conversations never leave the device, eliminating concerns about data collection, privacy policies, or third party access to sensitive information. Users don't have to trust a company's privacy claims because the data physically never travels to their servers in the first place.

The technical foundation supports multiple model formats through a unified native library designed for Apple hardware. Users can run GGUF, MLX, Core ML, ExecuTorch, and Apple Foundation Models depending on their preferences and hardware capabilities. This flexibility means Noema isn't locked to a single model provider or format the way most AI assistants are tied to their parent company's models. As the local AI ecosystem evolves and new models become available from various sources, users can adopt them without waiting for the app to add explicit support. The platform recently released its own two billion parameter model called Noema 2B, engineered for token efficient reasoning and based on Qwen3.5 from July 2026. This custom model represents the team's perspective on what works best for on device execution within memory and processing constraints.

The standout feature called Constellation enables users to switch devices mid conversation and borrow processing power from their Mac when they need it. Chats, projects, and tool history synchronize across Apple devices through local network protocols, but model weights stay on the Mac while only requests and replies travel between devices. This hybrid approach lets someone start a conversation on their iPhone during a commute, continue it on their iPad while reading documents, and tap into their Mac's more powerful hardware for complex reasoning tasks that would strain mobile processors. The synchronization happens locally rather than through cloud infrastructure, preserving the privacy first architecture while enabling cross device workflows that would otherwise require cloud connectivity.

Beyond basic chat functionality, Noema includes on device file retrieval for PDFs and datasets, private web search capabilities that don't log queries, study tools for learning and retention, and MCP tool integration for extending the assistant's capabilities with external services when users choose to do so. The privacy controls are visibly surfaced in the interface rather than buried in settings menus, and an Off grid Mode blocks all external HTTP and HTTPS connections entirely for maximum isolation. Users can verify that their device isn't communicating with external servers rather than trusting a company's privacy policy claims. This transparency appeals to professionals handling sensitive information, researchers working with confidential data, and privacy conscious individuals who want AI assistance without surveillance or data harvesting.

The business model operates without subscriptions or ongoing cloud costs that accumulate over time. Users purchase the app through the Apple App Store as a one time transaction, then run it indefinitely using their own devices' computational resources without further payment. There are no token limits, usage caps, or premium tiers that unlock additional features behind paywalls. The ongoing cost is zero once purchased, making it economical for heavy users who would otherwise accumulate significant API fees from cloud services charging per token or per request. The tradeoff is that performance depends on device hardware rather than scaled cloud infrastructure, which means responses may be slower than cloud services on older devices but faster on capable Apple Silicon machines.

Noema addresses a specific gap in the AI assistant market between powerful cloud services that raise privacy concerns and basic on device features that lack sophistication. For users within the Apple ecosystem who prioritize data privacy due to professional requirements, personal preference, or regulatory compliance, the ability to run capable models locally without compromising on features represents a meaningful advancement over choosing between capable but invasive or private but limited options. The cross device synchronization through Constellation extends this capability across contexts without requiring users to choose between portability and processing power. Professionals in fields like law, medicine, finance, and journalism where confidentiality matters find particular value in an AI assistant that provably never transmits their queries or documents to third parties regardless of what any privacy policy might claim.