The FDE Paradigm Shift

Code on the ground.
Context in the room.

We deploy Forward Deployed Engineers (FDE) directly into your organization. No context gaps, no slow handoffs. Just elite agile consultants building your AI and software future side-by-side with your team.

Build an Agile Pod Our Model
The DRG Manifesto

"Software architecture fails not from a lack of technical skill, but from a breakdown in local business context. By placing engineers directly at the intersection of business logic and system development, we execute with maximum velocity."

— Dev Resource Group
Direct Comparison

Why Forward Deployed?

Traditional outsourcing isolates builders. FDE brings technical experts directly into the product room, eliminating translation layers.
Metric Traditional Outsource Agency DRG Forward Deployed (FDE)
Context Handoff Documentation, specifications, and project managers acting as buffers. High loss of nuance. Direct integration. FDEs work in your Slack, standups, and physical/virtual rooms. Immediate context
Feedback Loop Weekly reports, formal ticketing cycles, and delayed iteration reviews. Continuous delivery. Features compiled and audited in real-time agile sprints. Daily Velocity
AI Integration Standard template configurations and generic REST API endpoints. Custom RAG pipelines, fine-tuned agent logic, and low-latency local model hosting. AI Experts
Deployment Speed Weeks of contract negotiations and onboarding buffer time. Active engineering pods deployed on-site or remote in under 5 days. Agile On-boarding
Interactive Planner

Assemble Your Agile Pod

Configure a dedicated FDE team tailored to your AI integration goals and technical architecture. Instantly estimate velocity and scope.

Forward Deployed AI Engineer

Specializes in custom RAG, vector databases, and LLM fine-tuning pipelines.

0

Senior Fullstack Engineer

Focuses on API construction, UI dashboards, and robust system integrations.

0

Lead Solutions Architect

Designs enterprise architecture, security frameworks, and multi-cloud infrastructure.

0
Your Custom Pod
Sprint Resource Allocation
Select resources on the left to start configuring your engineering pod.
Core Capabilities

FDE Tech Core

Our forward-deployed teams possess robust experience spanning AI model implementation, microservices design, and scalable infrastructure.
01

AI & Agentic Workflows

Developing agentic architectures, local LLM evaluation frameworks, complex semantic search indexes, and custom embedding pipelines.

  • Vector DBs: pgvector, Qdrant, Milvus
  • Frameworks: LangChain, LlamaIndex, AutoGen
  • Models: OpenAI, Anthropic, Ollama local host
02

Architectural Blueprints

Drafting modular, distributed API gateways, message queues, and high-performance caching layers built for sub-second system requests.

  • Languages: Go, Rust, Python, TypeScript
  • Queues & Cache: RabbitMQ, Apache Kafka, Redis
  • APIs: gRPC, GraphQL, REST
03

Cloud Infrastructure

Containerized deployments, secure VPC networking, and cloud-agnostic cluster orchestration built on SOC2 compliance standards.

  • Platforms: AWS, GCP, Azure
  • Orchestration: Kubernetes, Docker Swarm
  • IaC: Terraform, OpenTofu
Engineering Blueprints

Architected for High-Velocity Execution

We do not deliver black-box code. FDEs work on your main git repositories, drafting clear, modular architecture diagrams that your internal teams can easily maintain.

  • Modular System Isolation Decoupled services separated by robust API boundaries, preventing cascading infrastructure failures.
  • High-Efficiency Data Flow Low-latency read caches coupled with asynchronous message queues for maximum throughput.
  • Observability & Logs Built-in tracing, centralized telemetry logging, and robust metric audits.
AI-Centric Software System Architecture Traditional Software System Architecture
Partner With Us

Let's Discuss Your Project

Provide a brief outline of your AI roadmap or engineering challenges. An engineering partner will review your requirements and coordinate an initial FDE scoping call.

  • Response Time Within 12 Hours
Submission Successful
An engineering partner will review your project brief.