Invert Assist lets you query your data directly in plain language. Instead of manually investigating your data through plots and exports, you can ask questions conversationally and get results generated from your Invert data. Behind the scenes, Invert Assist generates and runs Python code, so every answer is reproducible and traceable.
What you can do with Invert Assist
Outlier Detection: Quickly process all your timeseries data to see if there were any excursions worth investigating further.
Root Cause Analysis: Identify drivers behind unexpected trends or deviations in your process data.
Experiment Summarization: Generate clear summaries of multi-run experiments, highlighting key similarities and differences.
Scale up: Refine your question or follow up to dig deeper - the AI chat keeps the context.
How to use Invert Assist
Select your runs. We're actively optimizing the maximum data load, for best immediate performance we recommend selecting 15 runs or fewer for the time being.
Open the Invert Assist chat panel using the Assist button on the top right of the screen.
Type your question—for example:
“What caused the excursion in Run75?"
"Is there any effect of pH on titer based on these runs?"
"What is the next experiment that might be interesting to explore?"
Review the answer and trace the exploration and thought chain, along side the code that was executed for the analysis.
Use follow-up questions to refine your results or switch context.
Tips for better results
Be specific: include timeframes or phases, run names, or metrics in your question.
Use follow-ups: instead of repeating full queries, build on the last response.
FAQs
Will Invert Assist chat change my data?
No. Invert Assist's chat tooling is read-only. It queries and analyzes data but never edits it.
What data can Invert Assist chat access?
It has access to your structured bioprocess data stored in Invert, including runs, metrics, properties, events, lineage, and formulas but is safely secured in the Amazon bedrock infrastructure so that none of your data is available for any model development or fine tuning.
How does Invert build in robustness?
We have written and manage a suite of benchmarking evals that are run regularly to help us characterize what capabilities are performing well and to alert our staff if there are any capability regressions due to model updates or infrastructure changes.
Can I see the history of my queries?
Yes. All queries and responses are logged in the history for traceability and reproducibility.
What if it doesn’t understand my question or the result is completely wrong?
Try rephrasing with more details (e.g., specify a date range or metric name). If you still don’t get what you need, please help us make our product more robust by submitting feedback through the thumbs-up and thumbs-down icons after the chat is completed. This will help us investigate further and build out additional evals for edge cases.
👉 Still need help? Reach out to our support team via email or intercom.