Forward-deployed AI engineering

We build inside your walls. And we secure what we build.

Patternfield Labs deploys senior engineers directly into your organization to ship production AI systems — then hardens them against the adversaries that show up once they matter.

ModelEmbedded engineering pods
FocusAI delivery + AI security
OutcomeSystems your team owns

Two practices, one team

PF / Practices
01 — AI Services

Build AI that ships

We embed with your teams to take AI from demo to production — in your stack, on your data, against your real constraints.

  • Agentic systems and LLM application engineering
  • Retrieval, pipelines, and enterprise data integration
  • Workflow automation across sales, ops, and support
  • Evaluation harnesses and model selection
  • Capability transfer so your engineers run it after we leave
02 — AI Security

Secure AI that holds

AI systems create new attack surface the day they go live. We treat security as part of delivery, not an audit that arrives later.

  • Agent identity, credentials, and least-privilege access
  • Red teaming LLM applications and agent workflows
  • Prompt-injection and data-exfiltration defense
  • Model and tool supply-chain review
  • AI governance, logging, and audit readiness

The forward-deployed model

PF / Deployment
Phase 01

Embed

A senior pod joins your team on-site or in your tools. We learn your systems, data, and politics — the things a deck never captures.

Phase 02

Build

Weekly shipped increments in your environment, not a prototype in ours. Working software over slideware, from the first sprint.

Phase 03

Harden

Threat modeling, red teaming, and identity controls applied to what we just built — before it touches customers or production data.

Phase 04

Transfer

Documentation, runbooks, and paired handoff. Success is your team operating the system without us on the payroll.

How we think

PF / Principles
Signal over noise

Patterns emerge in the field

The real requirements live in your workflows, not your RFP. Being embedded is how we find them.

Adversary-aware

Assume it will be attacked

Every agent we deploy gets an identity, a permission boundary, and a red-team pass. Trust is configured, not assumed.

Built to hand off

Dependence is failure

We measure ourselves by what your team can run without us. Every engagement ends in transfer, not renewal pressure.

Contact

Tell us where AI is stuck in your organization.

We take a small number of engagements at a time. If you have a system that needs to ship — or one already live that needs to be secured — we'd like to hear about it.

hello@patternfield.ai