App Store vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of App Store and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
App Store
Beijing Ciyuan Cloud Technology Co., Ltd.
Unifies and coordinates AI agents and models across your devices, letting you run, monitor, and scale AI workflows from a single Superbrain.
Key features
- Unified Superbrain Routing: Automatically selects and routes tasks to the most suitable agent or model (reasoning, coding, execution), removing the need for manual tool switching or orchestration.
- Distributed Compute Pool: Aggregates compute across local laptops, workstations, and GPU clusters so workloads can scale on existing hardware without added cloud costs.
- Parallel Agent Execution: Launches and coordinates hundreds of AI agents in parallel to run complex workflows and deliver results faster.
- Cross-Device Continuity: Start tasks from a terminal and continue them from a phone or other device; agents keep running even when the initiating device is closed.
- Model and Tool Agnostic Integration: Works with cloud models (Claude, Codex, Gemini), local models, and custom agents, enabling a single system to leverage diverse model strengths.
- Always-On Autonomous Execution: Agents execute, monitor, and deliver results continuously (24/7) on user-controlled infrastructure, enabling background automation and monitoring.
- Local-First Data Control: Sensitive workloads and data can remain on personal or private infrastructure to minimize cloud exposure and ensure data ownership.
- Coordinated Multi-Tool Workflows: Orchestrates workflows that span research, coding, automation, and execution across multiple tools without manual context switching.
- Mobile distribution via Apple App Store (iOS)
- Positioned as a customizable personal AI system
- User-facing interface for interacting with AI functionality (implied)
- App Store listing includes screenshots, ratings, reviews, and user tips
Best for
- Automating multi-step development workflows: coordinate code generation, testing, deployment, and monitoring agents across local and remote machines.
- Distributed model inference and execution: run heavy or specialized inference tasks across a pooled set of local GPUs to avoid cloud costs and latency.
- Research collaboration and orchestration: run parallel agent experiments that share context in real time and aggregate results centrally for analysis.
- Privacy-sensitive automation: process and analyze confidential data entirely on user-controlled infrastructure to meet compliance requirements.
- Mobile-managed operations: trigger and monitor long-running workflows from a phone while execution runs on remote or local compute resources.
- 24/7 task execution and monitoring: schedule persistent agents to monitor systems, gather data, and report results without manual intervention.
- Hybrid model utilization: combine cloud and local models (e.g., Claude with local models) in a single coordinated pipeline to leverage strengths of each.
- Personal virtual assistant on iOS devices
- Mobile productivity and task management support
- Learning and experimentation with a personalized AI system
- Prototyping or demonstrating AI behaviors on a mobile client
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning