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What is Autonomous Customer Knowledge Database (ackDB)?

Customer data is scattered across product activity, CRM, billing, conversations, and documents. Data teams often spend hours designing database schemas, setting up infrastructure, and maintaining systems before sales, marketing, and analytics teams can use that data.

Autonomous Customer Knowledge Database (ackDB) is a storage and query system built specifically for customer data.

When your workflows push events and other customer data to ackDB, it organizes them into one timeline per company and one durable identity per person. The same person remains recognizable when they change companies, while each role stays in their history. Your team and its AI agents can answer questions across sources without reconstructing that history by hand.

first-party · customer systemsSnowflakeproduct usage · L30, L7Stripeinvoices, payments, MRRNetSuiteERP: revenue, subscriptionsSalesforcedeals, stages, ownersHubSpotforms, lifecycle stageSlackshared-channel messagesGmailthreads and repliesCalendarmeetings bookedDocusignsigned agreementsthird-party · external signalsweb visitorsanonymous → known companyLinkedInjob changes, new titlesCrunchbasefunding, headcountG2category intent, reviewsGitHubpublic repo activityjob boardsopen roles, hiring pacenews & webmentions, launchestech stackdetected toolingdata pipelineupstream · Floqer or your workflowscleanenrichstructureackdb managesvalidatededuperesolve identityappendevery accepted record follows a declared contractackDB · data storageone queryable record for every company and personnorthwind.comSeries B · SaaS · 240 employeesusage_l30 4,812usage_l7 1,190sc__engagement 78people · each with one timelineVP Engineeringprimary contact · nowvisited /pricing ×3Jun 01message in #shared-channelJun 03meeting bookedJun 05first api callJun 08CFObilling contact · nowdeal → negotiationJun 09invoice paid · $4,800Jun 12signed the contractJun 22replied on pricingJun 24Ops leadadmin · now · was analystopened 3 issuesJun 11job_change → Ops leadJun 20demo request formJun 26L7 usage +38%Jun 30hosted by Floqer, or self-hosted on your own infrastructureackDB · query layerread every event, field and personREST APIprofiles · timelinessearch · aggregatesMCP serveragents · answerssame stored dataSDKcoming soonFloqer or your workflows · activateread selected records, then send them toadsGoogle · MetaOutreachsequencesSalesforceCRM updates
Floqer or your workflows collect, clean, enrich, and structure the data. ackDB validates what arrives, prevents duplicates, matches it to the right companies and people, preserves their history, and keeps it ready to query. Floqer or your workflows can activate selected records elsewhere.

What it takes to build and maintain cross-source customer data

A table of events is quick to build. The system in the diagram above is not. To trust the result, you have to stitch together:

  • A reliable write path. Define how data arrives, reject bad records, make retries safe, and prevent duplicates.
  • Identity that survives change. Match each record to the right company and person, keep uncertain matches out, and preserve roles when people change jobs.
  • History you can recover. Keep the original data and timeline, then handle deletes, restores, and backfills safely.
  • Self-serve access and activation across teams. GTM teams need dynamic tables that update as customer data changes, plus activation pipelines that format and sync leads to Outreach, Google Ads, Meta, and other destinations. ackDB keeps the data current and queryable, while a workflow tool such as Floqer carries those changes downstream without writing SQL or waiting on the data team.
  • Fast queries at scale. Design and maintain indexes, optimize query plans, and continuously tune performance so teams and AI agents using the data through APIs and MCP get fast responses as data and query volume grow.
  • Your infrastructure, your control. Deploy ackDB inside your environment on infrastructure you own. You retain control of the database and deployment, and customer data never leaves your security boundary.

The work continues after launch. New sources change schemas and identifiers. New questions and destinations add queries and sync logic. As data volume grows, your team monitors failed writes, runs migrations and backfills, tunes indexes and query plans, and repairs downstream pipelines. You are maintaining customer data infrastructure, not just a database.

ackDB handles the customer data layer: validation, deduplication, identity resolution, history, indexing, and query access through REST, MCP, and Ask. Floqer handles the workflows around it: collecting and shaping source data, then keeping activation destinations in sync as dynamic lists change.