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Installed in ~30 days

Company Brain

A private, queryable memory layer for the whole business, running on two NVIDIA Spark computers with open-source models.

The Company Brain is the context layer your agents and people keep reaching for but usually never have. We install it on two NVIDIA Spark computers, running open-source models and local retrieval so your business knowledge can be searched, reasoned over, and reused without becoming another rented SaaS silo. It pulls in documents, email, CRM records, tickets, call notes, financial exports, product data, SOPs, project history, and the messy working context that usually lives in people's heads. Everything is stored in a queryable way with source links, permissions, freshness, and audit trails, so agents can act with context and people can ask the business what it knows.

Private business memory infrastructure
Company-owned AI context layer — built to turn scattered business context into source-backed memory for humans and agents

The service builds a company-owned context layer. Model choice, data connectors, retention, and permissions are finalized during installation based on the client's systems and compliance needs.

Best for: Companies with valuable knowledge scattered across inboxes, drives, CRMs, docs, chats, spreadsheets, and employee memory.

what runs itself

The automations.

  • Two-machine Company Brain cluster on NVIDIA Spark computers with local open-source model serving
  • Connectors for Drive, email, CRM, support tickets, docs, spreadsheets, chat exports, call notes, and operating files
  • Scheduled ingestion that chunks, classifies, deduplicates, embeds, and stores every source with provenance
  • Queryable memory for people: ask questions, inspect sources, follow trails, and save canonical answers
  • Queryable memory for agents: retrieval API, scoped context packets, task-specific summaries, and source-backed answers
  • Permission-aware retrieval so sensitive context stays scoped by team, role, source system, or approved agent
  • Freshness checks, stale-context alerts, source drift reports, and knowledge gaps that need an owner
  • Audit trail for ingestion, retrieval, agent access, human queries, source citations, and answer updates
in the box

What ships.

  • Two NVIDIA Spark computer architecture and install
  • Open-source model stack for local retrieval, summarization, classification, and agent context packaging
  • Business context map: systems, owners, permissions, freshness rules, and ingestion priorities
  • Connectors for your core knowledge sources and operating systems
  • Vector, relational, and file storage layout for queryable business memory
  • Human search/chat interface plus agent retrieval endpoint
  • Monitoring, backup routine, audit logs, and operator runbook
  • Executive walkthrough, agent integration session, and 60 days of fixes
Stack
Two NVIDIA Spark computersOpen-source LLMsLocal embeddingsPostgres / vector storeDrive / email / CRM connectorsAgent retrieval API
how it works

Order to operating in three steps.

01

Kickoff.

A working call within one business day of your order: your stack, your catalog or niche, your approval preferences.

02

Install.

We sanitize and adapt the production system to your business — agent skills, workflows, schedules, and integrations — and wire it to your accounts.

03

Handover.

A walkthrough of every automation, an operator runbook, and 30 days of fixes while it runs on your real workload.