Blog post
Analyze any data quickly with no-code automation
Say goodbye to data silos. Integrate structured datasets, visualize results, and automate workflows on a single platform.
Trusted by 1,300+ leading biotech organizations
Generate scientific insights and go from experiments to analyzed data in seconds
Transform data
Aggregate and transform data for analysis
Simply point and click to build datasets
Pull in data from Benchling entries, studies, dashboards, or CSVs
Transform and filter data to get it analysis-ready in minutes
Visualize data
Visualize scientific data and draw deeper insights
Create configurable visualizations including bar, line, and pie charts, scatter plots, and heatmaps
Calculate and visualize regression and interpolation statistics using 4PL, linear, or quadratic models in a scientist-friendly interface
Maintain full experimental context by embedding visualizations directly in notebook entries
Automate analysis
Automate complete analysis workflows with templates
Save Analysis templates for commonly-reproduced analyses
Apply Analysis templates to subsequent assay runs with a single click
Trace all the steps of an analysis using an intuitive flowchart view
Visualize, transform and analyze results
No code datasets
Create and customize datasets with clicks, not code, using your data in Benchling. Easily filter, explore, and share insights across teams.
Table views and transformation
Organize data in clean, configurable tables and apply filters, pivots, and groupings.
Charting and visualization
Create bar charts, scatter plots, heatmaps, and embed visualizations directly in your notebook to keep data and context together.
Statistical analysis
Run regression and interpolation using 4PL, linear, quadratic models, and more in a scientist-friendly interface.
Reusable templates
Standardize analyses with configurable templates that can be easily shared and reused across teams.
APIs and integrations
Connect Benchling Insights with external tools, data warehouses, or pipelines using robust APIs. Streamline data flow and extend analysis across your ecosystem.
With Benchling, we’re able to centralize, share, and take quicker action on the results we’re analyzing. We now have a central command center for our R&D, where all of our critical data is gathered for smarter analyses.
Lead Engineer - Bioanalytical R&D, Helaina
Frequently asked questions
Benchling Insights is the analytics layer of the Benchling platform. It enables scientists and data teams to query, visualize, and share structured data from across all Benchling applications, without needing to extract data into separate BI tools. Working alongside Benchling AI, Insights makes it possible to go from raw experimental data to actionable insight without leaving the platform. See the end-to-end automated workflows blog for a look at how Connect and Insights work together.
Benchling Insights supports bar charts, scatter plots, line charts, heatmaps, regression analysis (4PL, linear, quadratic), and more. It allows you to create templated analysis workflows for repeatable reporting.
No. Benchling Insights includes a no-code interface for filtering, exploring, and sharing data. The SQL Writer lets you generate and modify queries using natural language prompts.
Yes. Because all Benchling products share a unified data model and data warehouse, Insights can query across experiments, registries, study results, and process data in a single dashboard. Benchling AI complements Insights by going even deeper, synthesizing data from across your Benchling tenant and public literature into comprehensive, citation-backed reports.
Benchling Bioprocess feeds structured, context-rich process data directly into Insights dashboards. Teams can visualize process parameter performance, compare conditions across experiments, and move data into third-party tools like JMP or Pluto. Experiment Optimization in Benchling AI adds an ML layer on top, automatically recommending new experimental conditions based on what Insights surfaces.
Yes. Dashboards and reports can be shared within Benchling with configurable access permissions. For executive or cross-functional reporting, Benchling AI can also generate formatted Word reports, ideal for stakeholders who prefer a narrative summary over a live dashboard.
Benchling AI supercharges Insights in several ways: the SQL Writer generates queries from natural language prompts; the Deep Research Agent answers complex cross-study questions by reasoning over your full Benchling data; and Experiment Optimization uses ML to recommend next steps from analyzed results. For details on how AI is built securely into the platform, see Benchling's AI data protection policy.
Yes. Benchling's open API allows you to push structured Insights data into external data lakes, BI tools, and AI/ML platforms. Benchling AI also supports open standards including Model Context Protocol (MCP), allowing it to connect to external systems without custom APIs.
Most biotech labs don't have a data scientist in every group — which means experimental data often sits unanalyzed until someone with SQL skills gets involved. Benchling Insights solves this with a no-code interface for filtering, visualizing, and sharing results directly from structured lab data. The SQL Writer goes further, letting anyone generate and modify queries using plain-language prompts.
Cross-study analysis is one of the highest-value things a data team can do. The prerequisite is a unified data model where experiments, samples, and results are consistently structured and linked. Benchling Insights queries across all Benchling products in a single dashboard, while theBenchling AI synthesizes findings from across your entire Benchling tenant into a comprehensive report. See the report writing skill for more information on how Benchling makes this possible.
