QuixLab early access is open for engineers who want superpowersGET EARLY ACCESS

NOW IN EARLY ACCESS

QuixLab

For engineers who want superpowers

An agentic, collaborative notebook for analysing and reporting on massive engineering datasets.

A QuixLab notebook: an AI agent cell works out why vehicle speed alternates, next to the signal chart and its written report, with two collaborators' cursors
QuixLab chart of steering wheel angle and rate across a test run

Explore massive test runs

Navigate high-resolution signals in interactive charts.

Asking the QuixLab AI for data from a table, in plain English

Investigate with an AI agent

Ask questions and inspect the analysis code.

New .mf4 files arriving in the QuixLab folder and the MF4 decoder running on them

Make analysis repeatable

Run your workflow when new test files arrive.

From raw data to decisions in minutes, not days

Quix solves the data collection, consolidation and preparation bottleneck.

[01]

Lower Engineering Costs

Engineers stop rerunning tests and chasing bad data, freeing capacity without scaling headcount. Production lines run more units through existing machines reducing overhead.

[02]

Real-time decisions at scale

Operational decisions made in the moment, on data dense enough to catch the signals that batch or low-frequency systems miss.

[03]

A digital thread across the engineering lifecycle

R&D, test and production data sit in a single queryable layer, so failures in production can be traced back to development test runs, and AI assistants reason across the full picture rather than fragments.

[04]

Faster time to production

Engineers move from prototype to live deployment in weeks rather than quarters, because the platform handles ingestion, storage and tooling instead of each team building it bespoke.

[05]

New engineering capabilities

With ingestion and storage handled by the platform, engineers have the time to focus on innovation and not infrastructure management.

Stop building infrastructure. Start engineering.

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