Enterprise AI · Security · Full-lifecycle advisory

Enterprise AI,forged to fit.

Tetra Labs curates, builds, and secures custom AI for small businesses, growing companies, and the enterprise. One senior advisor carries your program from the first briefing to production, and stays accountable long after it ships.

Senior-ledSecurity-firstBuilt to be audited

Senior-led

The advisor who scopes your work is the one who delivers it.

Security-first

Identity, access, and audit designed in from day one.

Independent curation

Technology chosen for your environment, tradeoffs on the table.

Full lifecycle

Strategy, build, governance, and operations under one roof.

The reality

The model is the easy part.

The hard part is everything around it. Which data it can touch. Who it acts on behalf of. What happens when it gets something wrong. Whether anyone can prove what it did.

That is where most AI initiatives stall: somewhere between an impressive demo and a system your security team, your auditors, and your customers can trust.

That gap is where Tetra Labs works.

Provenance at every hop

Lineage · Identity · Audit

  1. Your data

    Mapped, classified, and traced to its source.

  2. Models

    Selected for fit and grounded in what you know.

  3. Agents

    Scoped, authenticated, and revocable.

  4. Actions

    Logged and attributable to a human decision.

The lifecycle

One partner. Every stage.

Most firms own a slice: the strategy, or the build, or the security review. Tetra Labs carries the whole arc, so nothing is lost between the people who planned it and the people who run it.

01Phase

Assess

Know where AI pays off, and where it puts you at risk.

  • Use-case triage tied to cost and revenue
  • Data landscape and lineage mapping
  • Security and compliance posture review
02Phase

Architect

Design systems that fit the business you already run.

  • Platform, model, and vendor selection
  • Retrieval, graph, and agent design
  • Integration with your existing stack
03Phase

Curate

Buy the right technology once, and only what you need.

  • Independent vendor evaluation
  • Overlap and stack rationalization
  • Licensing and renewal strategy
04Phase

Build

Custom systems, built hands-on by the person who designed them.

  • Assistants grounded in your own data
  • Agents, automations, and MCP servers
  • Knowledge graphs across siloed systems
05Phase

Secure

Govern AI like the privileged identity it is.

  • Agent identity and authorization
  • Audit trails and data provenance
  • Policy mapped to compliance requirements
06Phase

Operate

Stay accountable long after launch day.

  • Monitoring, drift, and tuning
  • Team enablement and adoption
  • Retained advisory and fractional CISO
  • Knowledge graphs
  • Retrieval and enterprise search
  • AI agents
  • Multi-agent orchestration
  • MCP integrations
  • Data lineage
  • Digital forensics
  • Agent identity and authorization
  • AI governance
  • Compliance mapping
  • Workflow automation

Engagements

Built for your scale.

The same senior expertise, shaped to where you are. Every engagement starts with a private briefing and is scoped to your environment, never pulled from a template.

Small business

Enterprise-grade AI, without the enterprise overhead.

You don't need a data science team to get real value from AI. You need someone who knows which tools are worth it, sets them up securely, and gets your people using them well.

What you get

  • AI readiness review and quick-win plan
  • Secure setup of tools you already own
  • Automations across email, docs, and CRM
  • A plain-language AI use policy
  • Hands-on training for your team

Typical format

Fixed-scope sprint, with optional monthly advisory

Discuss your needs

Mid-market

Scale AI without scaling your risk.

You're past experimenting. Now AI has to connect to your systems, respect your data, and hold up to a security review or a customer audit.

What you get

  • AI strategy tied to operating outcomes
  • Custom assistants on your own data
  • Vendor evaluation and rationalization
  • Compliance alignment
  • Launch and adoption support

Typical format

Phased program with a dedicated senior lead

Discuss your needs

Enterprise

Govern AI at the speed the business demands.

AI is already inside your enterprise, sanctioned or not. The question is whether you can see it, govern it, and prove what it did.

What you get

  • Agent identity and governance design
  • Knowledge graphs across siloed data
  • Board-level AI risk advisory
  • Portfolio-wide vendor curation
  • Retained advisory and fractional CISO

Typical format

Embedded advisory and retained partnership

Discuss your needs

The Tetra standard

Boutique by design.

Tetra Labs is intentionally small. You work directly with a senior practitioner who has sat on both sides of the enterprise technology table, and who builds what she recommends.

No handoffs.

The person who scopes your engagement is the person who delivers it. No bait-and-switch to a junior bench.

Curation, not a catalog.

Recommendations come from what fits your environment and budget. You see the tradeoffs, including when the right answer is to buy nothing.

Secure from the first line.

Identity, access, and audit are designed in from day one, not bolted on the week before a compliance review.

Built to be proven.

Every system leaves a trail: what data it touched, what it did, and which person authorized it. Proof, not promises.

How an engagement runs

  1. Step 1

    Briefing

    A private conversation about your goals, systems, and constraints.

  2. Step 2

    Blueprint

    A written plan covering scope, architecture, risk, and investment.

  3. Step 3

    Build

    Hands-on delivery in focused increments you can see and test.

  4. Step 4

    Stand behind it

    Monitoring, tuning, and advisory as your needs evolve.

Leadership

Julie Nader

Founder and Principal Advisor

“Identity persists through transformation.”

The Tetra Labs principle

Julie has spent her career inside enterprise cybersecurity, working with dozens of C-suite executives, product development teams, and MSSPs. She brings deep-rooted knowledge of the entire cybersecurity stack, technology and services alike.

She also builds: knowledge graphs that trace how systems, decisions, and assets connect, plus the retrieval pipelines, MCP servers, and agent orchestration around them. It's why her recommendations hold up in production.

She is the named inventor on a pending U.S. patent application for goal-scoped authorization and independent revocation of autonomous AI agents. Tetra Labs is how she works with clients directly: one advisor, the full lifecycle, no handoffs.

  • Curated advisory
  • Governance & compliance
  • U.S. patent pending
  • RAG & forensics
  • Agentic AI security
  • Full-lifecycle support

Start here

Start with a private briefing.

Tell us where you are and what you're trying to solve. You'll leave the conversation with a clear view of where AI pays off for your organization, where the risks are, and what it would take to get there.

Your details are used only to respond to your inquiry.