Superpositional connects your code, changes, and runtime signals to show what's happening, what's risky, and what matters — in real time.
Across PRs, repos, and production — for developers, teams, and the people who rely on them.
Early access. No spam.
PR impact summaries. Onboarding context. Knowledge that doesn't live in one person's head. Open-source friendly — contact us.
Cross-repo dependency visibility. Standards drift detection. Metrics that show whether your practices are actually working.
Natural-language queries over your engineering system. Release readiness. Risk in plain English — no code required.
Continuously understand your system, guard it against AI-driven risk, and connect development decisions to real-world outcomes.
We build a structured understanding of your repository, extracting entities, relationships, and knowledge so both engineers and AI tools can reason about the system.
Automatically analyse pull requests using repository intelligence to identify risks, diagnose problems, and provide actionable feedback — before they reach production.
Trace incidents back to the changes and architectural factors that caused them, enabling faster diagnosis and more reliable systems.
Superpositional ingests signals from across your stack — then continuously builds and maintains the intelligence layer on top of them.
Superpositional indexes your code, commit history, and documentation using tree-sitter AST analysis and semantic embeddings.
Entities, relationships, and architectural structure are maintained as a persistent, always-current knowledge model.
Enrich the model with docs, infrastructure, and runtime signals for full lifecycle intelligence.
PR guardrails, incident tracing, architecture queries, and AI context — surfaced where your team works.
The same system model powers insights across the full engineering lifecycle.
Superpositional is in private early access. Join the waitlist and we'll reach out when we open the next cohort.