Your team.
Our engineers.
Production velocity.
We embed senior AI engineers directly into your team, working in your codebase, attending your standups, and shipping production systems alongside your workforce. Not consultants. Not outsourcers. Engineers.
From credential clearance to first production code contribution
Observed sprint throughput acceleration on AI feature branches
All IP and source code remains fully owned by your team
Observed client contract extension rate across enterprise cohorts
Production engineers, not staff augmentation.
Every Forward Deployed Engineer is a senior practitioner with deep AI systems experience, matched to your specific technical environment and business domain.
On-Site & Embedded Engineering
Direct AccessSenior AI engineers physically or virtually embedded within your team, attending your stand-ups, using your tools, and shipping code in your repositories.
Rapid Prototype-to-Production
VelocityConvert research-stage AI concepts into production-grade systems in weeks, not quarters, because the engineers building it sit next to the stakeholders who need it.
Full-Stack AI Implementation
End-to-EndFrom model training and fine-tuning to API development, frontend integration, and cloud infrastructure: complete vertical delivery within your environment.
Knowledge Transfer & Upskilling
Capability BuildingStructured pair-programming, architecture reviews, and documentation workshops that permanently elevate your internal team's AI engineering competency.
Enterprise Systems Navigation
Deep IntegrationEngineers experienced with SAP, Salesforce, Epic, Oracle, Snowflake, and complex legacy stacks, accelerating integration velocity when connecting AI services into your enterprise platforms.
Security-Cleared & Compliant
GovernanceAll embedded engineers operate under your strict security policies, NDAs, and governance frameworks, working within client-managed HIPAA, SOC 2, and FedRAMP authorized cloud environments.
Flexible models for every stage of your AI journey.
Whether you need a focused sprint team or a long-term embedded partnership, we structure engagements to match your pace and objectives.
Sprint Embedding
Targeted deployment for a specific initiative: prototype validation, system migration, or production launch sprint.
Continuous Partnership
Long-term embedded presence that evolves with your AI roadmap, handling multiple workstreams and building institutional knowledge.
Strike Team
Rapid-response squad for critical deadlines, production incidents, or accelerated proof-of-concept delivery.
Hybrid Remote-Onsite
Engineers onsite during critical phases (discovery, integration, launch) with sustained remote delivery between milestones.
From talent bottleneck to embedded velocity.
From scoping to handoff: a structured engagement lifecycle.
Every FDE engagement follows a structured framework designed to maximize impact and ensure complete knowledge transfer.
Define the mission and assemble the right team.
We assess your technical environment, project objectives, and team dynamics to select engineers with precisely matching domain expertise and personality fit.
Engineers embed into your workflows from day one.
Access provisioning, codebase orientation, architecture deep-dives, and stakeholder introductions: fully operational within the first week.
Ship production code in your environment.
Your embedded engineers participate in your sprints, write code in your repositories, attend your reviews, and deliver against your team's roadmap.
Document and transfer everything.
Comprehensive architecture decision records, runbooks, and pair-programming sessions ensure zero knowledge silos when the engagement concludes.
Regular alignment on velocity and outcomes.
Bi-weekly executive check-ins with velocity metrics, blocker escalation, and scope adjustment to ensure maximum ROI throughout the engagement.
Structured graduation to your internal team.
Structured transition with code walkthroughs, operational handover documentation, and optional post-engagement support retainer.
Measured outcomes across every engagement.
We track and report velocity, quality, and knowledge transfer metrics throughout every FDE deployment.
Time to Productive
From credential provisioning to first meaningful pull request in your codebase.
Team Velocity Uplift
Observed sprint throughput acceleration on dedicated AI feature branches.
Client Retention
Observed client contract extension rate across reference enterprise engagements.
Code Ownership
All intellectual property and source code remains fully owned by your organization.
Unmapped Workstreams
Mandatory Architecture Decision Records (ADRs) and pairing ensure complete capability transfer.
Escalation Target
Standard response target for team augmentation requests or capability adjustments.
Engineers who become part of your team.
Engineers, Not Consultants
Every person we embed writes production code, reviews pull requests, and ships features, not PowerPoint presentations.
Domain-Matched Expertise
We match engineers by technical stack, industry vertical, and team culture, not just availability.
Your Tools, Your Process
We operate entirely within your development environment, CI/CD pipelines, and project management workflows.
Permanent Capability Building
Every engagement includes structured knowledge transfer so your team is stronger after we leave than before we arrived.
Enterprise Security Standards
All engineers clear your security requirements and operate under your compliance frameworks from day one.
Flexible Scale
Add or reduce embedded capacity as your needs evolve, from a single specialist to a full cross-functional squad.
Frequently asked operational & deployment questions.
Direct insights into onboarding velocity, repository integration, pairing protocols, and knowledge transfer.
A Forward Deployed Engineer (FDE) is a senior AI practitioner who embeds directly inside your engineering organization. FDEs join your daily standups, review Git pull requests, use your Jira, Slack, and CI/CD pipelines, and ship production features directly within your repositories while pairing alongside your staff.
Ready to accelerate your AI delivery with embedded engineers?
Tell us about your project, team, and timeline. We'll match you with engineers who have the exact domain expertise and technical depth your initiative requires.