Archively lets you search, summarize, and generate reports from your private company data — without sending it to public AI models, losing control of who sees what, or worrying it'll show up in someone else's training set. Built for B2B SaaS teams who want the upside of AI on their internal data and refuse to trade their privacy for it.
The pitch is great until you read the data policy. Most AI tools that promise to make sense of your company data want full ingestion rights, fuzzy retention terms, and a quiet line about "improving the model" that means your contracts and customer notes might be feeding the next public answer.
Archively connects to your stack with scoped, revocable access tokens — never broad ingestion. Your data is encrypted in transit and at rest. Private content is never used to train external models, full stop. The original permissions from your tools are honoured, so people only get answers from files they were already allowed to see. Every query is logged for audit. Disconnect a tool and Archively loses access immediately. The AI is on your data — your data isn't on someone else's AI.
Built for B2B SaaS teams whose company data is the whole product — and who can't afford to put any of it in a system they don't fully control. These are the moments Archively pays for itself.
Vendor agreements, customer SOWs, NDAs, term sheets — all searchable in plain English without ever leaving your control. No copy-pasting clauses into a public chat tool. No quiet ingestion of legal language into someone else's model.
Every Archively query is logged with who asked, what was retrieved, and from which source. Hand the auditor a real record instead of a screenshot of a chat window. Source permissions stay enforced — junior staff never see senior-only content.
Summarize an account's full history before a renewal call without ever pasting the customer's notes into a public model. The data stays yours. The AI runs against it with scoped, revocable access — and the customer doesn't end up in someone else's training pipeline.
— Common questions
No. Archively does not use your data to train, fine-tune, or improve any AI model. Your documents are indexed in a private vector database isolated to your organisation. The base language model processes your documents as temporary context, not training material. Archively's data processing agreement explicitly prohibits model training on customer data.
Your data is stored in encrypted, isolated vector databases on AWS infrastructure in your selected region. Archively does not commingle customer data across tenants. Encryption is applied at rest (AES-256) and in transit (TLS 1.3). Enterprise customers can request single-tenant deployment in their own cloud environment.
Access is governed by two layers. Source-level permissions: Archively respects the existing access rules of each connected tool — Notion, Slack, Drive, etc. Archively-level roles: Admin, Editor, Viewer. Admins can restrict which teams query which sources. A sales team member can be scoped to HubSpot and Intercom only, while engineering sees GitHub and Jira.
Archively uses large language model APIs to generate answers from retrieved document context. Customer data is passed as ephemeral context only — it is not logged, stored, or used for model training by the API provider under our current agreements. Enterprise customers can request self-hosted or private cloud model deployment to avoid third-party API calls entirely.
Yes. Every query is logged with the user, timestamp, question, retrieved sources, and generated answer. Admins access the full audit log from the dashboard and can export it in CSV or JSON format for external compliance reporting. Log retention is configurable from 30 to 365 days.
Archively is working toward SOC 2 Type II certification. A security questionnaire and data processing agreement (DPA) are available on request. GDPR-compliant data handling is in place, including data residency selection and right-to-erasure support for individual records.
Archively is in pre-launch. Join the waitlist to be first in line when access opens. One confirmation email. No newsletters. No drip sequences. Just a note when we're ready.
