Spekit

Description Features Permissions Security & Compliance

Spekit is the new way for teams to get answers instantly without leaving Slack, bringing your organization's governed knowledge directly into the channels where deals and work actually happen.With Spekit for Slack, reps get Sidekick-quality answers, source-cited and permission-aware, right inside the conversation, and real-time visibility into deal room engagement, so nothing falls through the cracks.Have a question mid-deal? Don't break your flow. Type /spekit <your question> and get an answer grounded in your company's Spekit knowledge base, with source links back to the original content. Decide for yourself whether to keep the answer private or share it with your team.Want to know the moment a prospect engages with your deal room? Run /spekit dealroom in a channel to map a Spekit deal room to it and get notified the instant a prospect opens or views it, right where your deal team already works.Type /spekit <your question> to:
1. Get a direct, AI-generated answer grounded in your company's Spekit knowledge base, complete with source links back to the original content (visible only to you at first)
2. Post the answer to the channel for your whole team to see, or dismiss it if it's not what you needed
(Customers without AI enabled can use /spekit <keyword> to run a keyword search instead, just as in previous versions.)Type /spekit dealroom (or /spekit dealrooms, /spekit dr) to:
1. Map one or more Spekit deal rooms to the Slack channel you're in
2. Get notified the moment a prospect views the room or opens content inside it, and manage or remove mappings any time from Spekit's deal room settings.Also available:
/spekit connect and /spekit disconnect: link or unlink your Spekit account from Slack.
/spekit info: check which Spekit account and organization you're connected as.
/spekit help: see the full list of commands.
/invite @Spekit: add the Spekit bot to a channel (required before you can map a deal room to it).With the Spekit and Slack integration, knowledge shows up exactly where and when you need it.AI Disclaimer: While answers are typically grounded in your organization's Spekit knowledge base and include source citations where available, AI-generated responses may occasionally be inaccurate or incomplete.

Spekit will be able to view:

Spekit will be able to do:

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General

Privacy & data governance

Data retention policy

Spekit, Inc. is committed towards being a socially responsible company and desires to comply with local laws pertaining to data protection. Personal data can be processed only for the purpose that was defined before the data was collected. Subsequent changes to the purpose are restricted to a very small limit and require substantiation.

Data archiving and removal policy

Personal data that is no longer required after the expiry of legal or business process related periods must be deleted. There may be an indication of interest that merits protection OR historical significance of data in individual cases. If so, the data must remain on file until the interests that merit protection have been clarified legally, or the corporate archive has determined the data must be retained for historical purposes.

Data storage policy

Personal data is subject to data secrecy. It must be treated as confidential on a personal level and secured with liable organizational and technical measures to prevent unauthorized access, illegal processing or distribution, as well as accidental loss, modification or destruction. All data is encrypted both during transit and at rest.

Data center location(s)

United States

Data hosting details

Cloud hosted

Data hosting company

AWS

App/service has sub-processors

yes

Guidelines for sub-processors

https://www.spekit.com/sub-processors

App/service uses large language models (LLM)

yes

LLM model(s) used

Google Gemini, with OpenAI (GPT-4-class) available as an alternate and fallback

LLM retention settings

Spekit stores chat Q&A for analytics, and keeps temp logs (Arize, Sentry) to troubleshoot. You own your data; we purge it within 30 days of request. LLM prompts include only the question, history, and approved content and never used to train models.

LLM data tenancy policy

Multi-tenant, isolated by company_id; queries are company-scoped and RAG enforces permissions. No cross-customer exposure or non-prod replication. Pinecone embeddings are tenant-tagged, not dedicated. LLM calls run server-side via Spekit accounts.

LLM data residency policy

All Personal Information (PI) is stored in the U.S. Spekit's infrastructure is hosted in the United States and customer data remains in region. LLM vendor calls are server-side from Spekit's AWS backend over TLS 1.2+; data at rest is AES-256 encrypted.

Certifications & compliance

Security