Embedded AI expertise that delivers production-ready systems with guaranteed deployment success.
We don't just consult—we implement, optimize, and ensure your AI initiatives succeed.
Most AI initiatives fail not because the technology isn't ready, but because organizations lack specialized expertise to integrate AI into existing systems.
Consultants deliver recommendations and leave. You're left with documents, not working systems.
Internal teams lack specialized AI engineering skills needed for production deployment.
Real enterprise environments are messy. Legacy systems, compliance requirements, and organizational constraints kill most AI projects.
Our engineers become temporary members of your team, writing code and deploying systems alongside your staff.
We don't leave until your AI system is running successfully in production with measurable business impact.
Your team becomes self-sufficient through hands-on collaboration, documentation, and training.
Engineers with deep experience in your specific industry and use cases
From data pipelines to UI design and change management
Works with any cloud provider, AI framework, or technology stack
Success-based pricing aligned with your business objectives
Implementation-first methodology that delivers working production systems, not just documentation.
Our engineers become temporary team members, working alongside your staff for 4-8 month engagements.
100% deployment success rate. We don't leave until your AI system is running in production.
Your team becomes self-sufficient through hands-on collaboration and comprehensive documentation.
Our proven process ensures your AI implementation succeeds from discovery to deployment.
Initial consultation and on-site workshop to understand your business problem and technical environment.
Detailed proposal with timeline, success metrics, team assignment, and technical architecture.
Embedded team builds and iterates on AI solution while training your internal staff.
Production deployment with performance validation and initial monitoring setup.
Knowledge transfer, documentation, and 90-day support to ensure team self-sufficiency.
Everything you need to know about Forward Deployed Engineering.
The FDE Service provides dedicated AI engineers who work on-site (or virtually) within your organization for 3-12 month engagements. These engineers become temporary members of your team, implementing AI solutions while training your internal staff. Think of it as "AI engineering as a service" with embedded expertise.
Traditional consulting delivers recommendations and documentation. FDE delivers working production systems. Our engineers write code, deploy infrastructure, and ensure your AI solutions are running successfully in production before they leave. It's implementation-first, not advice-first.
We focus on high-impact, production-ready AI implementations: predictive analytics systems, document processing automation, recommendation engines, computer vision applications, natural language processing solutions, and AI-powered decision support systems. We don't do research or experimental AI.
Hybrid pricing model: Base monthly fee for engineer time + success bonus tied to defined business outcomes (accuracy improvements, cost savings, revenue impact, etc.). Typical total project cost: $200K-$800K depending on scope and duration.
We guarantee production deployment of a working AI system that meets agreed-upon performance metrics. If we don't deliver, you don't pay the success bonus. We also provide 90-day post-deployment support included in every engagement.
Yes, that's our specialty. FDE engineers excel at working with messy, real-world enterprise data and legacy systems. We don't require you to change your infrastructure - we adapt AI solutions to work with what you have.
Knowledge transfer is built into every engagement. Your team members are involved throughout development. We provide comprehensive documentation, training sessions, and operational runbooks. The goal is for your team to be self-sufficient at handoff.
1) Initial consultation call (30 minutes), 2) Discovery workshop (half-day on-site), 3) Proposal with timeline and success metrics (1 week), 4) Contract and team assignment (1 week), 5) Project kickoff. Total time from first contact to starting work: 3-4 weeks.
Schedule a discovery call to discuss your AI implementation challenges.
Schedule a personalized consultation to discuss your AI implementation needs and challenges.
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