Onboard by SciTools
Onboard turns deep Understand analysis data into guided project walkthroughs, architecture explanations, and practical starting points for real engineering work.
Why teams trust Onboard
Onboard generates project guidance from Understand’s deep static-analysis data, not just AI context windows.
Trusted by engineering teams worldwide
Interactive browser demo
Launch a live sample project in your browser and see how Onboard turns Understand analysis data into guided project explanations, architecture context, and onboarding tasks.
Onboard works best on your laptop or monitor
How Onboard Works
Understand scans the project and extracts relationships, dependencies, references, metrics, and structure.
Onboard organizes the analysis into subsystems, workflows, entry points, important files, and change paths.
The model becomes onboarding guidance: architecture summaries, reading paths, and practical starting points.
Engineers can drill into files, call paths, reports, relationships, graphs, and AI-assisted explanations when they need more detail.
AI Analysis
Ask questions in plain language and get answers grounded in real files, relationships, and call paths from the project model.
Ask what something does, where a workflow starts, or which files matter first.
Surface files, symbols, relationships, and reports that support the explanation.
Answers use relationships, references, metrics, and call paths extracted by Understand.
Jump from the AI explanation into navigation, reports, call trees, or specific code areas.
Documentation
Onboard turns the project model into practical documentation engineers can use to understand architecture, workflows, important files, and where to start.
Help new team members understand the major pieces before they start reading source files.
Explain request paths, subsystems, and common flows in a format the team can share.
Use the documentation page to point engineers toward important files, entry points, and follow-up exploration.
Navigation
Move from project-level explanations into the code structure underneath: graph views, call paths, references, dependencies, and connected source files.
Use graph views to understand relationships that are hard to see in files alone: call flow, dependencies, references, and connected modules.
Start with the documentation page, then jump into the exact graph or relationship view that explains the next layer of the system.
Use dependency graphs to understand relationships, control flow graphs to trace execution paths, and impact graphs to see what a change could affect.
Reports
Use generated reports to identify important areas of the codebase, review risk signals, and understand where complexity, impact, and project knowledge concentrate.
Deployment
Onboard is designed for teams that need code intelligence available across the organization while keeping analysis, source, and project context inside their own environment.
Run in restricted or air-gapped workflows where external code upload is not acceptable.
Give engineers access to the same project model instead of isolated local experiments.
Deploy with practical hardware expectations rather than a large cloud or GPU cluster.
Pricing
Every plan includes unlimited users and unlimited lines of code. Pricing is based on the number of projects your team wants to onboard.
Send us the shape of your codebase and we’ll come back with the right tier and a quote. Qualifying open source and educational projects use Onboard free.
FAQ
Onboard is built for teams that need code intelligence without sending private source code outside their own environment.
Onboard is designed for local AI. The model, prompts, code context, and answers can run inside the customer environment instead of relying on an external AI service.
No. Onboard is self-hosted, and source code does not need to be uploaded to SciTools or to a third-party cloud service.
Yes. Onboard is meant to be shared by the engineering team, so developers can work from the same project model rather than isolated local notes or one-off AI sessions.
Pricing is based on the number of projects covered. Every tier includes unlimited users and unlimited lines of code.
A project is the unit Onboard organizes work around — typically a codebase or repository, even if it spans multiple binaries or libraries. If those binaries and libraries are built and maintained together as a single product, we treat them as one project. That said, every team’s setup is different, and we know “one product” isn’t always a clean line. If you’re not sure how your codebase should be counted, our sales team can work with you directly to find a fair setup for your situation.
Onboard uses SciTools Understand analysis data, including relationships, references, dependencies, call paths, metrics, and project structure. It is not limited to searching raw source files.
Onboard isn’t locked to a single AI provider. If you’d rather run models locally or route through your own provider, you can point Onboard at any OpenAI-compatible endpoint — local runtimes like LM Studio, Ollama, or vLLM, as well as hosted aggregators like OpenRouter. Just enter the base URL and API key/model name in Onboard’s settings.
Yes. Onboard is free for qualifying open source projects and educational use. Eligibility can be reviewed with SciTools.
Get started
Try the live demo, schedule a walkthrough with SciTools, or ask about pricing for your project count.
See Onboard explain and navigate a real codebase.
Meet with SciTools to discuss your codebase, deployment requirements, and local AI setup.
Book a meetingGet help matching your team to the right project-based pricing tier.
Request pricing
