Customers needing an FDE (median)
20→27→32%
2024 → 2025 → 2026 projected. The attach rate for hands-on deployment is climbing every year.
Vision
A world where buying AI software and successfully running it are the same decision — not two separate, unequally staffed problems.
Grapnel exists to close the gap between AI vendors' sales velocity and their delivery capacity — by supplying vetted, production-grade forward deployed engineers on an elastic basis, so a Series A vendor with eleven enterprise logos can deploy like a company ten times its size, without building a services org it never wanted.
The Gap
The deployment burden per customer is rising, not falling, even as the models get better.
Customers needing an FDE (median)
20→27→32%
2024 → 2025 → 2026 projected. The attach rate for hands-on deployment is climbing every year.
Use FDEs as a hybrid role
44%
Bridging product and delivery — customising for customers and feeding insight back to product.
Accenture AI & data practitioners
77,000
At FY25 close, targeting 80,000 by FY26 — and still only serving the top of the market.
FDE job postings, YoY growth
1,165%
2026 vs. prior year. Demand for the role is outrunning every other hiring category in AI software.
Source: ICONIQ, “State of AI: The Execution Era of AI,” Jan 2026 · Accenture FY2025 10-K · Bloomberry analysis of 1,000+ FDE postings, YoY through Oct 2025.
Why the Last Mile Matters
Every deployment meets different data, different systems, different exceptions and a different definition of “correct”. None of it ships as configuration.
An agentic product writes to the customer's stack. The integration and permission surface is far wider than a SaaS product that only renders a screen.
Pricing has moved from seats to results. Whoever owns the result owns delivery — and that is now the vendor.
Every AI product company is forced into a services business it never planned for — at exactly the moment it's trying to show product margin to investors.