Work with an FDE to build high-impact AI solutions
FDEs embed directly with your team to design, deploy, and optimise AI solutions.
From GenAI automation to multi-agent systems
Accelerate AI delivery by up to 10x
Expert input on model integration & deployment
Review architecture, compliance, scalability readiness
From startups to Fortune 500s, the world’s leading teams rely on DronaHQ.
Enterprise-ready AI deployments
AI FDEs bring end-to-end implementation experience across advanced AI projects.
Intelligent agent networks, RAG apps, chat portals, LLM-integrated internal tools
Designed for impact, not experimentation
Our FDEs work across your infrastructure to ensure real adoption and measurable performance.
Let’s build your AI agents together
Book a consultation and get a plan you can act on next sprint.
Frequently Asked Questions
Forward deployed engineers (FDEs) are specialized engineers who work directly with your teams to build, customize, and deploy AI-based applications or agents. They act as an extension of your engineering team, helping you move faster without compromising quality.
A solutions engineer advises and prototypes. A forward deployed engineer builds inside your systems and ships to production.
AI FDEs are not just coders; they’re embedded specialists focused on deployment, integration, and outcomes, working hands-on within your environment.
It’s a collaborative model. Your team retains ownership while our engineers co-develop and accelerate specific modules or systems.
Teams that are planning to build AI-powered internal tools, agents, or backend integrations and need experienced engineers to help them architect and deploy them securely.
Depending on the complexity, engagements can range from short-term consultations to multi-week build cycles. The initial call helps define the right engagement structure.
Yes. All FDE-led builds follow enterprise security best practices with reviews for data privacy, authentication, and compliance alignment.
Enterprise-grade internal tools, multi-agent systems, copilots, RAG setups, and LLM-integrated dashboards across functions like operations, customer support, and analytics.
