sizeless vs Solarch: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of sizeless and Solarch — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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
Solarch
Solarch
Visual backend architecture tool: draw node/edge graphs, validate with a rules engine, and generate matching backend code to prevent architectural drift.
Key features
- Live Graph Editor: A node-and-edge visual editor for composing backend architectures (services, data stores, connections) with live feedback and manipulation.
- Rules Engine Validation: Built-in validation rules that check the drawn architecture for policy, best-practice, and safety violations before code generation.
- Automated Code Generation: Generates scaffolded backend code that directly matches the validated architecture, reducing manual translation work.
- Architecture-Code Parity: Keeps diagrams and generated code in sync to prevent architectural drift and ensure the implementation follows the approved design.
- Scaffold Customization: Produces customizable starter code and project structure so teams can iterate from a working baseline rather than from scratch.
- Design-as-Source-of-Truth: Treats architecture diagrams as the authoritative specification, enabling governance, review, and reproducible builds from the visual model.
- Live node/edge graph editor for backend architecture
- Rules engine to validate architecture diagrams against constraints
- Automated code generation that produces backend code matching the diagram
- Prevents architectural drift by keeping design and code in sync
- Visual-to-code workflow enabling design-driven development
Best for
- Designing Microservice Backends: Visually model microservice boundaries, communication paths, and data stores, then generate matching service scaffolds to accelerate implementation.
- Onboarding and Handoff: Provide new engineers with a validated visual architecture plus generated starter code so they can quickly understand and contribute to the system.
- Enforcing Architecture Governance: Apply organizational rules in the validation engine to ensure new designs comply with standards before code is produced.
- Prototype-to-Production Acceleration: Rapidly iterate on architecture diagrams and produce working code prototypes that can be extended into production systems.
- Refactoring and Reconciliation: Use the visual model to plan refactors and produce updated scaffold code that brings implementation back into alignment with the intended architecture.
- Documentation-as-Code: Maintain diagrams as the source of truth and regenerate code or artifacts to keep documentation and implementation synchronized.
- Designing backend system architecture as diagrams and generating initial code scaffolding
- Enforcing architectural constraints across teams via automated validation
- Keeping infrastructure-as-code and implementation consistent with architecture diagrams
- Generating API or service stubs from a validated architecture graph
- Onboarding and documentation through visual architecture artifacts tied to code