Build Smarter. Spend Less. Ship Sooner.
We use LLMs and agentic tools across every stage of software delivery. That means you can prototype before you commit, validate the right solution before you scale it, and build at a fraction of the traditional cost.
Trusted by Startups and Enterprises
The Calculus Has Changed
Two years ago, automating a business process meant months of planning, a dedicated team, and a six-figure budget. LLM-accelerated development has changed what's worth building.
Months to prototype.
Months to prototype. Legacy codebases no one wants to touch. Six-figure budgets before anyone knows if the idea works.
Prototypes in days.
Legacy systems analyzed and documented in hours. Projects that never justified the investment are suddenly viable.
But most AI projects never make it past a pilot. Research puts the failure rate at over 80%, twice the rate of non-AI technology projects.1 The difference is usually not the model. It's whether the problem was worth solving and whether the data could support it.
At Euvic, these tools aren't something we sell alongside our services. They're embedded in how we work. When we deliver projects for clients, that capability is baked into every engagement.
The Numbers Behind Our AI Practice
Faster Delivery
Up to 60%
Faster delivery with AI-assisted development across our engagements
Generated Code
70%+
Of routine code generated by LLMs, freeing engineers for architecture and quality
Number of Experts
6,000+
Engineers across AI, cloud, data, and full-stack development
Projects Delivered
50+
AI projects delivered to production across industries
Three Ways to Start
Whether you need to understand where AI fits, prove a concept fast, or transform how your team builds software, there's a clear path to get there.
AI Readiness Workshop
01
Find out exactly where your organization stands on AI maturity, which initiatives will deliver real financial impact, and what needs to happen first.
Walk away with a scored portfolio of AI initiatives and a phased roadmap to act on them.
End-to-end process discovery and mapping
Data readiness and IT architecture assessment
Use cases scored by impact and feasibility
Business cases with financial projections
Phased transformation roadmap
AI Rapid Prototyping
02
See your solution in action before you commit. We build a working prototype in 2 to 3 weeks so you can demo it, test it, and decide with confidence.
Go from idea to working application in 2 to 3 weeks. Fixed fee, no lengthy procurement process.
Working application, not wireframes or mockups
Production quality UI ready to demo
Real or synthesized data driving the experience
Architecture guidance and technical documentation
Fixed-fee, low-commitment engagement
Euvic Catalyst
03
We build an AI-powered software development lifecycle tailored to your team. It enforces a defined process from requirements through code generation, grounded in your standards.
Your team ships faster with fewer bugs, using a process built on your own standards.
Requirements and solution design enforced before code
Automated code generation from your templates
AI-assisted code review on every pull request
Test generation from requirements
Custom knowledge base built on your stack
Project Spotlights
Detailed results from recent engagements.
AI-Powered Quality and Safety Systems for Steel Production
We built and deployed computer vision systems across ArcelorMittal's steelmaking and logistics operations. These systems guide crane operators handling molten steel, automatically identify railcars, and run in real time in environments with extreme heat, dust, and constant movement.
Results
99%
Detection accuracy in safety-critical positioning
82%
Faster railcar processing (8.5 hrs to 1.5 hrs)
500ms
Real-time response, edge-deployed
What We Built
Crane Operator Guidance
Real-time visual guidance for positioning hooks over molten steel ladles. The system detects ladle position and surrounding infrastructure to help operators work safely and accurately
Automated Railcar Identification
Camera-based system that reads and matches railcar IDs automatically. Cut processing time from 8.5 hours to 1.5 hours with 98%+ recognition accuracy
Edge-Deployed, Production-Grade
Built on PyTorch, OpenCV, and ONNX. Runs on-site at the edge for sub-second response in environments where cloud connectivity isn't reliable
Legacy System Takeover With Zero Documentation
A client purchased a complex accounting and tax calculation system built in Python. No documentation existed, and the original developer was only available as a consultant. Our team needed to understand the entire system, document it, design a new architecture in .NET MVC, and produce estimates for the rebuild.
Results
200 hrs
Total working hours including meetings
150 pages
Client-verified documentation
What We Delivered
Acquisition Risk Eliminated
Full visibility into the purchased system. Every calculation, edge case, and business rule documented and verified before committing to a rebuild
Confident Migration Decision
New .NET MVC architecture designed with accurate scope and cost estimates, giving a clear picture of exactly what the rebuild would take
Months of Work Compressed
LLM-assisted analysis turned what would have been a multi-month reverse engineering effort into a 200-hour engagement
Engineering Team Transformation With Coding Agents
A maritime technology company engaged us for a full AI engineering consultation. We embedded a senior consultant with their team to integrate LLM-assisted coding, automated testing, intelligent code reviews, and agent-augmented CI/CD pipelines across their entire development process.
Results
35%
Shorter lead time to production
45%
Fewer production defects
80%
Of routine code generated by LLMs
Business Impact
Smaller Teams, Same Output
AI-assisted coding and automated review maintained the same feature velocity with leaner teams, directly reducing headcount cost per release
Higher Quality, Lower Rework
45% fewer production defects means less time spent on hotfixes and regression, freeing engineering capacity for new features
Faster Time to Market
35% shorter lead time to production. Features that previously took weeks to ship now reach customers significantly sooner
Why Build With Us
We help you find the right AI use cases, de-risk them through prototyping, and build the systems that deliver them. Strategy through execution, one team.
You Work With the People Who Build It
No handoff between strategy and engineering. The people advising you on AI are the same ones deploying it in production every day. Every recommendation comes from hands-on experience, not a playbook.
Start Small, Scale Without Switching
Begin with a workshop or prototype. When you're ready for more, the same team scales with you across AI, cloud, data, and full-stack engineering. 6,000+ engineers, one relationship, no context loss.
You Get the Real Picture
Not every problem needs AI, and not every AI use case is ready today. You'll hear what will accelerate your business and what won't, with limitations reported alongside results.
What Our Clients Say
Working with Euvic frees up my time to lead and develop my team and drive product, knowing that in the background there is important work being done and being done right. My only regret is that we didn’t hire Euvic sooner.
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Flexibility was a big selling point for us. We are collaborative, and prefer to be flexible. Euvic demonstrated time and again that they could adapt to our working norms, collaborate across cultures, and give us exactly the engineering talent that we needed.
It’s all about getting the right people at the right time. Bringing in Euvic meant that our internal team could continue working on our core technology and we could bring in highly skilled engineers for niche technology needs as they came up.
Start With a Conversation
Tell us where you are. We'll tell you which path makes sense and what the first step looks like.
