Background Paths
Background Paths

Production AI Engineering That Moves EBITDA

AI Engineering Practice — Working systems, not strategy decks. From idea to production in two weeks.

14 portfolio companies assessed • 7 industries • $500M+ impact identified

$500M+
Impact Identified
14
Portfolio Companies
7
Industries
41
Working Days

How We Work

Five service lines. One sequence.

01

Assess

AI opportunity diagnosis. Surfaces gaps, sizes opportunity, validates the business case before capital is committed.

02

Transform

Raw company data into agent-consumable intelligence layers. The step everyone skips.

03

Orchestrate

Multi-agent workflow design. Goal-oriented intelligence systems with adversarial tension.

04

Develop

Spec-driven AI development at 10-30x velocity. Idea to production in two weeks.

05

Scale

Production governance and LLMOps. Systems built for production from day one.

Track Record

Production systems. Measurable results.

$3.5-7MPharma CRO

New revenue via Regulatory Intelligence-as-a-Service

$10M/yrAviation MRO

Additional revenue from RFQ win rate improvement (5% to 10%)

$5MAviation MRO

Working capital freed via AI-powered invoicing

$3-5MMedical Devices

Quality savings from $190K investment

Start with a 15-minute diagnostic conversation.

No pitch. Just an honest assessment of where AI moves your margin fastest.