Use Case

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Forward Deployed Engineering

FORWARD DEPLOYED ENGINEERING

From AI ambition to production in four weeks.

Our engineers work alongside your team to build and deploy on your infrastructure. You own the solution, the architecture, and what comes next.

Engineer using a laptop

Trusted by teams running AI in production

Capgemini logo
Vattenfall logo
hear logo
bunq logo
Moneybird logo
Yoco logo
Moss logo
Capgemini logo
Vattenfall logo
hear logo
bunq logo
Moneybird logo
Yoco logo
Moss logo
Capgemini logo
Vattenfall logo
hear logo
bunq logo
Moneybird logo
Yoco logo
Moss logo
Capgemini logo
Vattenfall logo
hear logo
bunq logo
Moneybird logo
Yoco logo
Moss logo

HOW IT WORKS

Four weeks. One production outcome.

From use case to deployment, with your team involved at every step.

Use case inputs connected to an architecture plan and success criteria

Design

Scope the use case, architecture and success criteria.

Existing systems integrated into an AI application

Build

Develop and integrate on your existing stack.

AI workload evaluation results and validation checks

Validate

Test, evaluate and refine with real workloads.

Documentation and solution ownership handed over to the customer team

Handover

Transfer ownership, documentation and expertise.

THE OUTCOME

Built with you. Owned by you.

Production-ready AI

A deployed solution integrated with your systems, data and workflows.

Reusable architecture and controls

Documented integrations, evaluations, policies and components your team can extend.

An enabled team

Hands-on knowledge transfer and a roadmap for your next production use case.

WHEN TO ENGAGE

When production can’t wait.

A priority initiative moves from backlog to production.

Accelerate a priority use case

Move a high-value AI initiative from backlog to production without building a new team first.

System integrations connect through a controlled deployment boundary.

Solve complex deployment challenges

Navigate integrations, security requirements and sovereign infrastructure with experienced engineers.

Reusable documentation and tools enable an engineer.

Build internal AI capability

Equip your engineers with the architecture, tools and experience to deliver independently.

REAL-WORLD APPLICATIONS

Built for real enterprise challenges.

From knowledge-intensive workflows to secure AI deployments.

Knowledge access passes through controls inside a customer environment.
Knowledge access passes through controls inside a customer environment.

Secure engineering assistant

AI-powered knowledge access within a customer’s sovereign environment, respecting data classification and access controls.

Fragmented documents connect to searchable knowledge.
Fragmented documents connect to searchable knowledge.

Enterprise knowledge assistant

Turn fragmented company documentation into accessible, searchable knowledge for employees.

News and portfolio signals surface risks for an investor report.
News and portfolio signals surface risks for an investor report.

Automated investment intelligence

Monitor news and portfolio exposure to surface relevant risks and accelerate investor reporting.

BUILT ON ORQ.AI

Expert engineering. One governed platform.

Our engineers help you deploy AI on the Orq.ai platform, with the infrastructure and controls to scale beyond your first use case.

BUILT ON ORQ.AI

Expert engineering. One governed platform.

Our engineers help you deploy AI on the Orq.ai platform, with the infrastructure and controls to scale beyond your first use case.

PLATFORM TESTIMONIAL

Trusted by teams running AI in production.

We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.

We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.

Benjamin Kleppe

GenAI Lead at bunq

bunq

We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.

Benjamin Kleppe

GenAI Lead at bunq

bunq

We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.

Benjamin Kleppe

GenAI Lead at bunq

bunq

FAQ

Frequently asked questions

What is Forward Deployed Engineering?

A focused engagement where Orq.ai engineers work alongside your team to design, build and deploy a production AI solution, while transferring the expertise to maintain and extend it.

How long does an engagement take?

Our standard engagement lasts four weeks, covering design, build, validation and handover. Scope and production-readiness criteria are agreed before kickoff.

What does our team need to provide?

A business owner, a technical owner, access to relevant systems and data, and subject matter experts who can validate the outcome.

Can you work with our existing infrastructure?

Yes. We design around your existing systems, data and deployment requirements, including private infrastructure and sovereign environments where supported.

What happens after the four weeks?

Your team takes ownership of the solution, documentation and next steps. Orq.ai can provide ongoing platform support or additional engineering support where needed.

Ready to get AI into production?

Let’s identify your first use case and define what we can deliver together in four weeks.

Ready to get AI into production?

Let’s identify your first use case and define what we can deliver together in four weeks.

Ready to get AI into production?

Let’s identify your first use case and define what we can deliver together in four weeks.