Engineers Embedded. Outcomes Shipped.
Most AI transformation programs end up as slide decks. Invovia builds working software instead. We put senior engineers inside your team, right at the point where AI ambition runs into execution reality, and we stay until your team is faster, stronger, and able to carry it forward on its own.
At a Glance
So, what is Forward Deployed Engineering?
“Forward Deployed Engineering” sounds like a lot of jargon for a simple idea: instead of handing you a strategy document and wishing you luck, we send our own engineers to sit inside your team and build the thing with you.
An FDE is a senior engineer who joins your daily standups, gets access to your codebase in the first week, and starts shipping real, working code, usually within a few days rather than months. They’re not there to write a report about your AI strategy. They’re there to build the first version, fix what’s broken, and show your own engineers how to do it themselves next time.
Core Offerings
Where We Create the Most Leverage
Production Outcomes
Faster path from strategy to production
Forward Deployed Engineering
Outcome-accountable engineers in your standups, writing production code and transferring capability until your team can carry it forward.
AI-Powered SDLC
Accelerate delivery from idea to production
Accelerated AI Delivery (AAID)
Redesign the software delivery lifecycle so AI amplifies every phase, compounding velocity sprint over sprint.
AI-Native Teams
Build engineering organizations for the AI era
AI Native Engineering
Engineering rebuilt from first principles, with team structures, ownership models, and intelligence designed in from day one.
Legacy Transformation
Reduce modernization time and technical debt
Accelerated Modernization
AI-assisted legacy migration, done with discipline, at 3–5× the speed of traditional approaches.
Intelligent Operations
Move from reactive support to intelligent operations
AI for AMS
From reactive ticket-chasing to proactive, predictive application management at enterprise scale.
Autonomous AI Systems
Build autonomous AI systems that operate safely
Agentic AI Architecture
The memory, orchestration, guardrail, and observability layers autonomous agents need to run safely.
How We Deploy: The Engagement Model
Five Phases. No Wasted Motion.
Rapid Context Immersion
Codebase and architecture review, stakeholder interviews, and we're usually contributing code by day three.Problem Prioritization & First Demos
Rough, working demos surface real requirements that no workshop ever could.Workstream Ownership & Delivery
We take direct ownership of defined workstreams. Code ships to your repository, built to your standards.Embedded Knowledge Transfer
ADRs, prompt libraries, and runbooks get written continuously, not scrambled together at closeout.Capability Graduation
A formal review where your engineers demonstrate they can run it without us.Industries We Serve
Where FDE Delivers Outsized Return
Financial Services & Fintech
Risk systems, fraud detection, and core banking modernization, with SOC 2, PCI-DSS, and OCC awareness built in.
Enterprise Software & SaaS
AI feature acceleration, platform re-architecture, multi-tenant LLM infrastructure.
Healthcare & Life Sciences
Clinical decision support, HIPAA-compliant platforms, EHR modernization.
Government & Defense
FedRAMP-aligned architecture, secure pipelines, mission-critical modernization.
Manufacturing & Supply Chain
Predictive maintenance, demand forecasting, OT/IT integration.
Retail & Consumer Platforms
Personalization, real-time recommendations, high-concurrency infrastructure.
Technology Practice
The Technology Foundations Invovia Builds On
A working reference across every layer we operate in, from raw LLM APIs through production observability. These aren’t tools we read about in a briefing deck, they’re the stack our FDEs ship with, and it’s re-certified quarterly as the ecosystem moves.
AI core
AI Models, Agents & Tools
We leverage leading AI models, agent frameworks, orchestration platforms, and AI-powered development tools to build intelligent, reliable, and production-ready solutions. Our expertise spans model selection, agent architecture, orchestration, and AI-assisted development.
Infrastructure
AI-Native Engineering & AIMS Stack
We engineer enterprise-grade AI applications with RAG pipelines, model integrations, evaluation frameworks, intelligent observability, predictive alerting, and automated remediation. Our engineering approach focuses on accuracy, reliability, scalability, and continuous improvement.
Engineering
Cloud, DevOps & Data Infrastructure
We build scalable AI-ready infrastructure across cloud, DevOps, and modern data platforms. Our solutions connect cloud environments, containerized workloads, vector databases, and ML platforms to provide a reliable foundation for enterprise AI applications.
About Invovia
Engineering Intelligence. Delivered.
An AI-native engineering services firm for enterprises that need AI to work in production, not in a keynote. We specialize in forward deployed engineering, AI-accelerated delivery, legacy modernization, and safe agentic architecture. Headquartered in Pleasanton, CA; operating globally across North America, Europe, and APAC.
Work With an FDE Team
Three Ways to Bring FDEs onto Your Team
Discovery Sprint
Embedded Partnership
Managed Capability
Contact Us
Let's Talk About What You're Actually Trying to Ship
No vendor deck, no pitch. Tell us the problem and we’ll give you a straight answer about whether and how we can help.