Avery Intelligence is an AI systems laboratory and engineering partner. We make high-growth technology companies in the United States and Europe AI-native by rebuilding how engineering and product run from foundations up: one central Company AI Brain for your business — secure, private, and custom.
Every board and executive committee in Silicon Valley, London, Berlin, and Zurich is demanding an AI strategy. Yet on the engineering floor, reality is fragmented: 10 disconnected LLM subscriptions on personal credit cards, where every senior engineer starts prompting from zero context. None of the institutional knowledge compounds. Context remains trapped in senior engineers’ heads, closed Slack threads, and stale Notion documents.
Avery replaces disconnected prompt windows with an authoritative cognitive foundation. We connect your monorepos, technical RFCs, issue trackers, and customer telemetry into a plain-text knowledge graph that developers, IDEs, and autonomous agents query via open Model Context Protocol (MCP) endpoints.
Solid foundations matter
Model intelligence is only as valuable as company context. Instead of scattering ad-hoc chat tools across developer browser tabs, true leverage requires an authoritative knowledge layer. We map your repositories, architectural decision records (ADRs), pull request debates, and production telemetry into a structured semantic fabric that every engineer and agent can query in milliseconds.
Our founding background includes scaling core product platforms at Spotify, enterprise workflow modernization at SAP Signavio, and deploying production agent systems since 2022. We build things correctly for the long haul, maximizing velocity without introducing security or compliance compromises.
The three-tier operating stack
A sovereign architecture for engineering velocity. We structure your company’s AI capability into three clean, decoupled layers:
- Native MCP endpoints (
mcp://company-brain.internal/v1) for Cursor, Claude Code, and Copilot - Zero-lock-in storage using plain Markdown and PostgreSQL/pgvector
- Context-Aware PR Reviewer: Verifies diffs against architecture standards and past regressions
- Slack AI Technical Coworker: Answers architecture questions with exact commit and RFC citations
- Live Decision Ledger: Flags duplicate microservices and contradictory RFC proposals in real time
- Incident Root-Cause Investigator: Correlates alerts with recent commits and runbooks
- Codebase Deprecation Auditor: Identifies stale feature flags and breaking package upgrades
- Compliance Monitor: Maintains continuous audit logs for SOC 2 and EU AI Act Article 50
Security, privacy, and control
Your code and business logic are your most defensible intellectual property. We build with enterprise-grade isolation, ensuring zero multi-tenant leakage and strict data privacy:
Secure & Private
Isolated data architecture with strict tenant boundaries. Zero sensitive code or operational context is exposed to multi-tenant pools.
Custom & Modular
Tailored directly to your repositories, data schemas, and engineering workflows with zero proprietary vendor lock-in.
Zero Model Training
Zero data retention. Your IP and customer data are never used to train public foundation weights.
Model-Agnostic via MCP
Hot-swap between frontier models or self-hosted weights without rewriting your context graph.
Velocity benchmark
Quantified returns for engineering leaders. Select your team size to estimate the impact of a Company AI Brain tailored to your engineering organization:
Clear commercial terms
Fixed scope, fixed price, zero open-ended consulting. We build and deliver software directly to your infrastructure:
01 / AI Readiness Audit & Scoped Roadmap
$3,000A 7-business-day sprint consisting of up to 10 structured interviews with tech leads and architects. We audit codebases, tooling silos, and friction points, delivering a prioritized roadmap with quantified weekly hours saved.
02 / The Company Brain Build
$10,000 – $25,0002 to 3 weeks of hands-on systems engineering. We construct your production knowledge graph, configure MCP endpoints with your monorepos and Linear/Jira, and deploy your initial PR Reviewer or Slack AI Coworker into your environment.
03 / Continuous Upkeep & Self-Repair
$1,000 / moNightly graph synchronization, schema evolution, context drift prevention, and agent health monitoring. Continuous frontier model upgrades (Claude 3.7, o3, Gemini 2.5). Cancel anytime.
Built for European and US governance
Engineering velocity without compliance compromise. Technical organizations serving enterprise customers face strict security mandates. Avery builds with compliance as an architectural primitive:
• EU AI Act Article 50: Full auditability of agent decisions, deterministic guardrails, and human-in-the-loop oversight logs.
• GDPR Chapter III: Automated redaction of personal identifiable information (PII) before vector or graph ingestion.
• SOC 2 Type II: Role-based access control (RBAC) ensuring agents only access repos permissible for the engineer’s tier.
Work with us
We build AI systems that push technical boundaries while delivering measurable engineering leverage.Join technical leaders across Silicon Valley, New York, London, Berlin, and Zurich who are replacing fragmented chat windows with a sovereign, institutional Company AI Brain.