Move From Pilot to Production Faster
The engineers studying the problem are also involved in building the solution, reducing unnecessary handoffs between strategy and implementation.
Turn high value business problems into secure, production ready systems with engineers who work directly with your team.
Our Forward Deployed Engineering services combine software, data, machine learning, cloud, and solution engineering to move complex initiatives from discovery through development, integration, deployment, and continuous improvement. We have a pool of Forward Deployed Engineers ready to support your specific needs — the goal is not another prototype, it is a working system that fits your environment and delivers measurable business value.
Forward Deployed Engineering is a delivery model where experienced engineers work closely with business and technical teams to understand a specific problem, design the right solution, build it, connect it with existing systems, and take it into production.
Unlike traditional development, where engineers often receive predefined requirements, FDE teams work closer to the workflow, users, data, and business outcome. This helps teams identify constraints earlier and make better technical decisions.
A Forward Deployed Engineer may support:
It can help organizations:
The engineers studying the problem are also involved in building the solution, reducing unnecessary handoffs between strategy and implementation.
Important questions are tested early.
Production systems must account for authentication, permissions, security, monitoring, failure handling, testing, cost, support, and ownership, not simply whether a demonstration works.
A successful deployment can produce reusable integration patterns, evaluation methods, components, deployment templates, and operating practices that support future use cases.
We define the workflow, pain points, stakeholders, current performance, and measurable business outcome.
We review applications, APIs, databases, documents, identity systems, infrastructure, security requirements, data quality, and technical constraints.
Technology is selected based on accuracy, reliability, security, cost, maintainability, and integration needs rather than hype.
A focused prototype tests the hardest technical assumptions before significant development investment.
The team builds the application, integrations, data flows, access controls, interfaces, testing, and deployment processes required for real use.
Quality is measured against the actual task, including accuracy, retrieval quality, reliability, latency, cost, safety, and task completion where relevant.
The solution is released with clear ownership, monitoring, logging, support, and rollback procedures. Production feedback then guides improvement.
Successful patterns can expand to additional teams or workflows. Documentation and technical handoff help internal teams maintain long term ownership.
Custom applications designed around real business workflows.
Controlled systems that interact with approved tools and processes.
Knowledge systems that retrieve approved information and ground responses in relevant sources.
Data pipelines, forecasting, classification, anomaly detection, scoring, and decision support.
APIs and integrations across business systems, databases, identity platforms, document repositories, and custom applications.
Focused modernization of legacy workflows, services, interfaces, and data dependencies.
Evaluation, versioning, monitoring, release processes, rollback, observability, and operational controls.
FDE works well when:
FDE may not be necessary when a standard software product already solves the requirement, the project is simple and well defined, or an existing development team can deliver efficiently without embedded support.
Security should be designed into the system from the beginning.
Production deployments should define data access, user permissions, tool permissions, logging, monitoring, approval points, system ownership, and recovery procedures.
For systems capable of taking actions, permissions should be limited to what the task requires, with human approval used for sensitive or high impact actions.
There is no universal FDE price.
Cost depends on:
A useful estimate should follow technical discovery and be compared with the current cost of the business problem.
Useful measures may include:
Our approach starts with the business problem rather than a preferred technology.
We combine software, data, cloud, architecture, security, and deployment expertise to build solutions that work inside existing enterprise environments.
Most importantly, our goal is not long term technical dependency. Documentation, knowledge transfer, and clear ownership help your internal teams understand and operate what has been built.
If you have a high value workflow, a stalled pilot, a complex integration problem, or a system that needs a stronger path to production, start with the business problem. We can assess the workflow, technical environment, data, risks, and required outcome before recommending the right next step.
An FDE works directly with business and technical teams to define the problem, design the architecture, build the solution, integrate it with existing systems, deploy it, and improve it using production feedback.
Consulting often focuses on strategy and recommendations. FDE includes hands on engineering and production delivery.
There is no fixed duration. Timelines depend on technical scope, systems, data, integrations, security requirements, and production complexity.
Yes, when the required systems provide a secure and practical integration path. Existing infrastructure should be assessed before architecture decisions are made.
A mature engagement includes monitoring, optimization, documentation, training, technical handoff, and clear long term ownership.