Benchling AI & Slack Integration

Benchling AI

Description Features Permissions Security & Compliance

:dna: Benchling AI for SlackBenchling is a platform that brings together scientific data, automation, and AI, so R&D teams can move faster and focus on what matters most: their science. This Benchling AI for Slack app connects your Benchling tenant to your Slack workspace, so your team can ask questions, get help, and discuss topics that relate to R&D work without leaving the Slack channel.How it works:
• Mention @Benchling AI in any channel or thread with your question or task.
• First time using it? You'll be prompted to link your Benchling account once — after that, you're all set.
• Benchling AI works in the background to generate a response, and you'll see it's in progress.
• The response posts right back in the source channel or thread.What you can do:
• Ask about your data — @Benchling AI what thermocycler settings did I use for my experiment yesterday?
• Discuss and collaborate — @Benchling AI have we tested the assay conditions that Jeffy P. proposed above?
• Start drafts — @Benchling AI create an entry draft to test the conditions Jeffy P. requested above.
• Share updates — @Benchling AI write up a status update for my manager on the work I finished today.
• Get help using Benchling — @Benchling AI how can I share a worklist?Installation:
1. A Benchling tenant admin enables the Slack App connection from the AI Settings tab in the Tenant Admin Console, under Chat Extensions.
2. Click the Install to Slack button.
3. Your Slack workspace admin can review and install the app.The first time you mention @Benchling AI, you'll be prompted to link your Benchling account — after that, you're all set.Benchling AI can make mistakes. Always check results.

Benchling AI will be able to view:

Benchling AI will be able to do:

Review the details to better understand this app’s security practices. To learn more about assessing apps for your workspace visit our Help Center.

General

Privacy & data governance

Data retention policy

Customer Data is retained for as long as the customer relationship is active. Data is not periodically purged, and per the Data Processing Addendum (part of the Main Services Agreement), Benchling deletes all Customer Data following completion of the Benchling Services and upon the customer's written request.

Data archiving and removal policy

Benchling supports archiving of all object types; archived items are distinguished from active data in both the UI and data warehouse, and exports of archived items follow the same process as unarchived items. On removal, Benchling's cloud hosting provider (AWS) is responsible for sanitizing storage media prior to reuse or decommissioning, following NIST 800-88 guidelines.

Data storage policy

Customer data is stored on AWS infrastructure: raw files in Amazon S3 and structured data in PostgreSQL/Amazon Aurora databases. Data is encrypted at rest using AES 256 bit encryption and in transit using TLS 1.2 or higher.

Data center location(s)

United States, Republic of Korea, Germany, Japan

Data hosting details

Cloud hosted, exclusively on Amazon Web Services (AWS).

Data hosting company

AWS

App/service has sub-processors

yes

Guidelines for sub-processors

https://www.benchling.com/subprocessors

App/service uses large language models (LLM)

yes

LLM model(s) used

Benchling AI uses third party foundation models accessed through Amazon Bedrock (including Anthropic Claude, Meta Llama, Amazon Nova), OpenAI, and Google Vertex AI (Gemini, Claude).

LLM retention settings

Third party model providers store data only temporarily or in memory during inference and securely purge it afterward; they do not retain it long term. Customers can opt into Benchling observability tool that stores inputs and outputs for up to 30 days.

LLM data tenancy policy

Benchling AI inherits existing multi tenant isolation. Inputs and outputs are stored as customer data under standard tenant isolation, scoped to the user's permissions. Third party providers cannot train on this data and have no persistent access to it.

LLM data residency policy

Customers may select the AWS region for their tenant, but input/output data processed by third party model providers may be processed outside that region.

Certifications & compliance

Security