FORWARD DEPLOYED ENGINEERING
The Israeli partner behind the FDE wave.
Production-grade DevOps backbone for the model deployment economy.
Built for Forward Deployed Engineering. Locally embedded. Already shipping.
THE MOMENT
Three lab moves. 30 days. $6.25B committed to FDE.
$4.0B
OpenAI Deployment Co
+ 150-eng Tomoro acquisition
$1.5B
Anthropic JV
with Blackstone, H&F, Goldman
$0.75B
Google agentic fund
for partner deployments
WHY DEVELEAP
The half of FDE that's hardest to ship — we already do.
Labs are strong on models, prompts, and agent orchestration. They’re structurally weaker on the production infrastructure that keeps anything running. We’ve been building that backbone since 2014.
01
The production half
The labs bring models and methodology. We bring the platform that turns a working demo into a system that survives launch week.
- Kubernetes & cloud-native depth on AWS
- Agentic CI/CD pipelines & FinOps
- Policy-as-code, secrets, license compliance
- SRE practice — under-marketed, deeply real
02
Embedded in Israel
The country’s largest DevOps and Cloud practice, with a footprint where the FDE wave needs local partners most.
- 120+ Israeli customers across the stack
- Commercial, financial, medical, telecom, cyber
- Hebrew-speaking, locally embedded delivery
- AWS Premier Partner
03
Pods, not lone heroes
A solo engineer can’t credibly own the full FDE arc. A three-role Pod can — trained in-house through our FDE Academy.
- FDE Lead — engagement-level ownership
- FDE Engineer — build, integrate, deploy
- Solution Architect — model & agent depth
- Internal Academy with shadowing & coaching
CAPABILITY MAP
Mapped to public OpenAI & Anthropic FDE job specs.
The FDE category collapses consulting, solution architecture, engineering, and change management into one accountable role. Here’s how each activity lines up with what we already deliver.
STRONG
AI Gap Analysis methodology
Sit with users, understand workflows
STRONG
AI Adoption Framework (Shapiro 5 Levels)
Identify highest-value AI use cases
READY
Agentic developer workflow pilots
Build POCs of priority workflows
CORE
Agentic CI/CD pipelines & DevOps backbone
Move POCs to production-grade systems
STRONG
SRE practice, agentic pipelines, FinOps
Maintain deployed systems in production
CORE
Cloud + DevOps integration (AWS-heavy)
Connect AI to customer data, tools, processes
THE MOAT
What we bring the labs can't replicate quickly.
The new FDE vehicles start from a model-and-methodology base. The harder half — running production AI inside an Israeli mid-market customer — is where we already live.
Production Kubernetes & cloud-native
Deep AWS footprint and a track record of running real workloads at scale, not slideware.
Agentic CI/CD & FinOps
Pipelines built for AI workloads — license compliance, secrets, policy-as-code, cost governance.
Dark Factory point of view
Dark-titan as a real, working artifact — not a slide. Our autonomous-workflow thesis is shippable.
120+ Israeli customers
Mid-market wedge at Shapiro Levels 1–2 — exactly the segment the new FDE vehicles target.
Hebrew-speaking, locally embedded
Pods that sit inside Israeli teams, in the language of the room, with the cultural fluency to land change.
FDE Academy
Internal pipeline for FDE Leads and AI Specialists, drawn from senior DevOps engineers — not external hires.
HOW WE DELIVER
The FDE Pod is the unit of delivery.
A solo engineer can’t credibly carry the full FDE arc — from “what problem are we solving” through “running daily in production.” A three-role Pod can. We scale by adding Pods, not by stretching individuals.
ROLE 01
FDE Lead
Owns the customer relationship and the engagement outcome end-to-end. Senior, customer-facing, technical enough to be credible in architecture — and manages change with non-technical stakeholders.
1 per engagement · Engagement leadership
ROLE 02
FDE Engineer
The deep technical work. Builds, integrates, deploys, hardens. Connects to customer data, identity, and tooling. Owns the path from POC to production.
1–3 per engagement · Build & deploy
ROLE 03
Solution Architect
Model expertise, prompt and agent design, evaluation. Fractional across Pods early on — typically shared across 3–4 engagements until volume justifies dedicated capacity.
Fractional · Model & agent depth
BY THE NUMBERS
Built since 2014 — at the speed AI deployment now demands.
A decade of production DevOps, now aimed squarely at the model deployment economy.
120+
Israeli customers across commercial, financial, medical, telecom & cyber
#1
DevOps & Cloud professional-services practice in Israel
AWS
Premier Partner with deep Bedrock channel access
99+
Open FDE roles in Tel Aviv today — we can staff against them
A 30-minute partner conversation.
Bring us your first Israeli mid-market deployment. We’ll bring the production infrastructure, the local Pod, and the runway to land it.
partners@develeap.com