We embed Forward Deployed Engineers directly in your production environment. Any enterprise initiative qualifies, from AI Agent Deployment and Legacy Modernization to Custom Software Development.
Our Forward Deployed AI engineers build AI Agents in your production systems. They handle AI Agent Orchestration, Agentic AI integration, and AI Workflows. Your AI Agent Deployment goes from Proof of Concept to production in weeks, not quarters.
Forward Deployed Software Engineers embed inside your delivery team to drive Legacy Modernization and Enterprise Application upgrades. Business logic stays inside your Enterprise Architecture. Our Embedded Software Engineers never access production data outside your established access controls.
We do not build read-only Retrieval-Augmented Generation (RAG) demos. Our Forward Deployed AI Engineers wire Large Language Models (LLMs) into your production workflows. They configure AI Infrastructure and run Model Evaluation before any Generative AI feature ships.
For Cloud Migration, Digital Transformation, and Systems Integration. Our Forward Deployed Solutions Architect designs the Enterprise Architecture. Then our engineers deliver the Technical Implementation. Every API Integration ships with security validation and audit logging from day one.
We do not rip and replace. Technical Discovery maps your existing stack and Custom Software Development backlog. Our Forward Deployed Engineering as a Service framework scopes three to five high-value outcomes. We expand once telemetry confirms it works.
Our Forward Deployed Engineers follow this process to embed, build, and ship every engagement.
We map before we build. Customer Discovery surfaces your workflows and stakeholders. Technical Discovery maps your integration points. We scope three to five production outcomes, not a six-month statement of work. This is how our FDE as a Service avoids the planning-forever trap.
Every engagement gets a Solution Design built against your production constraints. Requirements Engineering runs alongside your leads. Every requirement is bounded before we prototype. We favor composable milestones over monolithic plans. Scope stays lean. Your production environment stays protected.
We run Rapid Prototyping sprints against your live APIs and real data. Every Proof of Concept (PoC) informs a production decision. We do not build sandbox demos. We build Minimum Viable Products (MVP) your team can validate and ship.
Our Forward Deployed Solutions Architects lock your Technical Strategy before production commits. We design AI Infrastructure, plan AI Agent Orchestration, and decide LLMOps, MLOps, and Machine Learning Engineering choices. These cannot be patched after Production Deployment. They get resolved here.
We do not hand off at go-live. Our engineers stay through the first production cycles. Iterative Development runs until the system holds under real load. We handle AI Agent Deployment, AI Automation, and Production Support from inside your team.
Cross-functional Collaboration and Stakeholder Management run in every sprint. Product Feedback and Voice of Customer reach Entrans in real time, not at quarterly reviews. Technical Problem Solving and Troubleshooting happen where the problem lives. Progress is visible every week.
Our FDE as a Service engagements connect to the AI and enterprise programs your business already runs.
We cover AI Engineering, Machine Learning Engineering, and Product Engineering in one embedded team. Our Forward Deployed Data Engineers and Product Engineers connect AI Workflows to your production data and Enterprise Applications. Audit logging ships with every integration.
We handle end-to-end Product Development, from Customer Discovery and Solution Design to Technical Implementation, Production Deployment, and Production Support. For large environments, we recommend Pilot Programs. One workflow first. Expand once telemetry confirms it works.
We apply AI Automation patterns across Generative AI and LLM-powered AI Workflows. Token overhead drops, sometimes by more than 90%. We monitor latency, agent call volume, and context spend. We tune every Production AI system as Enterprise AI evolves under real load.
Our certified FDE as a Service team embeds as Embedded Software Engineers, Application Engineers, Customer Engineers, or Field Engineers. Pick a short PoC sprint or long-term FDE-as-a-Service support. You can also hire dedicated Forward Deployed Engineers for a single named account. Scope flexes. Delivery does not.
FDE as a Service, or Forward Deployed Engineering as a Service, puts certified engineers inside your organization. They do not advise from the outside. Each engagement covers Customer Discovery, Solution Design, Technical Implementation, Production Deployment, and Production Support.
Technical Consulting and Professional Services deliver documents. FDE as a Service delivers working software in production. Engineering Consulting firms advise. Forward Deployed Engineers ship. The FDE model is built for enterprises that need AI Agent Deployment or Systems Integration without a long handoff cycle.
A Forward Deployed Engineer (FDE) combines Solutions Engineer, Solutions Architect, and Technical Account Manager (TAM) output in one embedded role. They run Technical Discovery, Requirements Engineering, and Solution Design. They build. They ship. They handle Stakeholder Management and Cross-functional Collaboration. One role. Full accountability.
Our Forward Deployed AI Engineers start with Customer Discovery and a Technical Discovery sprint. Then they wire AI Agents into your live workflows, manage AI Agent Orchestration, and run Model Evaluation. No sandboxed demos. Direct Agentic AI deployment to your production environment.
Our Embedded Engineering as a Service teams work across Enterprise Software stacks, cloud platforms, and AI systems. They connect to Claude (Anthropic), ChatGPT (OpenAI), Google Gemini, and other Enterprise AI platforms. They handle API Integration, Systems Integration, and database connectivity. The model is stack-agnostic. Your environment. Your rules.
