GenAI product engineering
Turn a high-value workflow into a working Intelligent Machine System with the right model, memory, tools, interface, and evaluation loop.
Senior AI engineering that turns complex needs into working systems.
Direct senior engineering for environments where a slide deck is not enough and the system must work with real people, data, tools, and constraints.
Turn a high-value workflow into a working Intelligent Machine System with the right model, memory, tools, interface, and evaluation loop.
Design coordinated agents with explicit roles, handoffs, shared context, escalation paths, and Human approval points.
Connect AI workflows to existing data, APIs, documents, browsers, desktop tools, and operational systems without forcing a platform rewrite.
Add authorization, observability, evidence, and verification around model actions so autonomy remains bounded and reviewable.
Build scenario tests, quality gates, failure analysis, and measurable acceptance criteria before an AI workflow reaches production.
Ship into cloud, hybrid, local, or constrained environments, then transfer operating knowledge to the people who will own the system.
Transparent USD pricing for direct access to a principal-level Forward Deployed Engineer.
Technical advisory
2-hour minimum
Focused architecture, design review, technical due diligence, or troubleshooting.
Deployment sprint
Two weeks
A concentrated engagement to prove, integrate, or harden one high-value AI workflow.
Embedded FDE
Up to 80 hours
Senior engineering embedded with your crew for sustained delivery and adoption.
Final scope and price are confirmed in writing before work begins. Travel, cloud usage, software licenses, and specialized compliance work are quoted separately.
Describe the real operating environment and receive a tailored starting brief for a Forward Deployed Engineer engagement.
The AI will recommend a starting engagement, phases, deliverables, validation, and the applicable published pricing basis.
Five project case studies connect technical decisions to source material that can be inspected directly.
Labor market intelligence
A full-stack labor market intelligence application that connects public economic data with model-assisted analysis.
Open-source intelligence
A self-hostable geospatial intelligence interface that brings multiple public data feeds into one analyst workspace.
Local-first coding agent
A native desktop coding agent with a Rust core, local control, extensible tools, and optional graph-aware retrieval.
AI research automation
An extension of karpathy/autoresearch that adds task routing, bounded execution, and persistent operational memory.
Capability taxonomy
A machine-readable taxonomy for reasoning, memory, planning, action, verification, learning, and governance capabilities.
Straight answers on pricing, timelines, deliverables, and the path from first conversation to deployment.
Share the operating problem, current systems, users, constraints, and target outcome. ELI Labz will identify the smallest credible path to a deployed result.
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