Euvic Catalyst: Faster Delivery, Fewer Surprises

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An AI-powered SDLC for engineering leaders who need more output from the same headcount. Catalyst enforces a defined process from requirements through code generation, grounded in your standards and your stack, so your team ships faster without sacrificing quality.

Engineers spend 42% of their time on maintenance, debugging, and rework.¹ Not building. Not shipping. Just keeping up. Most of that waste traces back to the same root causes: unclear requirements, inconsistent code, and manual work that should have been automated from the start. And across the industry, over 80% of AI projects never reach production.² Catalyst exists to close that gap by enforcing the process that most teams skip.

Capabilities

What Catalyst Handles

Not a collection of AI tools bolted onto your workflow. A development lifecycle that enforces the right sequence: requirements first, then design, then code. Human review at every stage. Every output is generated from your organization's own standards and patterns.

Structured Requirements

Analysts input business needs and the system clarifies ambiguities, fills gaps, and produces validated specs before anyone writes code.

Guided Solution Design

Architects define data models, integrations, and component structure. AI suggests patterns from your existing architecture to keep everything consistent.

Automated Code Generation

Backend, frontend, and test code are generated from the approved design, using your templates and coding standards.

AI Code Review

Every code change is reviewed for security, quality, and standards compliance automatically, before a human reviewer sees it.

Test Generation

Test cases are generated directly from requirements and code changes. QA teams review and refine rather than write from scratch.

Built on Your Standards

We build a shared knowledge base from your coding standards, templates, and architecture so every AI output fits your codebase.

Every stage includes human review. AI accelerates the work. Your engineers approve it.

Expected Results

What This Looks Like in Practice

Code Generated

70%+

of routine code generated automatically

Faster

25%

faster time-to-market for new features

Onboarding

35%

faster onboarding for new developers

Fewer Bugs

25%

fewer critical bugs per release

How It Works

One Process, Three Connected Stages

Every project flows through analysis, design, and development in sequence, so nothing reaches code without the thinking that should come first.

Analyze and Design

Business analysts and architects define what needs to be built. AI validates requirements, flags gaps, and suggests patterns from your existing architecture. The full picture is clear before a line of production code is written.

Requirements gathered and validated

Rapid prototyping and UI pattern selection

Architecture, data models, and integrations designed

Generate and Build

Backend, frontend, and database code generated from the approved design using your templates and standards. Developers start from working code, then focus on business logic. Works with VS Code, Cursor, and GitHub Copilot.

Code scaffolded from your own patterns

Developers refine in their existing IDE

AI code review on every pull request

Test and Ship

Test cases generated directly from requirements. QA reviews and refines rather than writing from scratch. Automated pipelines run security scans and quality checks continuously. Findings feed back to improve future outputs.

Tests generated from specs, not written manually

Automated pipelines on every commit

Continuous feedback loop improves output over time

Auto-generated documentation at every stage. Requirements, specs, and test cases are captured and updated automatically so documentation stays current without becoming a separate workstream.

"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."

Alex Lambrides

CTO, Matium

Why Euvic

Why Build This With Us

Your People Stay in Control

AI handles the repetitive work. Your engineers stay in control of every decision. The process accelerates your team without replacing their judgment.

Customized to Your Stack

We build the knowledge base around your specific technologies, standards, and architecture. The result is AI output that fits your codebase, not a generic template.

One Team, Strategy Through Code

The people who design the process are the same ones who build and deploy it. No handoff between consultants and engineers. When you need to scale, we pull from a 6,300-person engineering group across AI, cloud, and data.

What You Get

Everything Included in a Catalyst Deployment

We set up the SDLC, build your knowledge base, integrate it with your existing tools, and train your teams. Here's exactly what that includes.

Platform

Full Catalyst Deployment

The SDLC deployed in your environment, configured for your workflow, security requirements, and existing toolchain.

Custom Knowledge Base

Your coding standards, architectural patterns, and templates organized so every AI output matches your codebase. Maintained and updated as your stack evolves.

Services

Process Design Workshop

We work with your team leads to design the workflow Catalyst enforces, from analysis through code review.

Role-Specific Training

Hands-on training for analysts, architects, developers, and QA so every team member is productive from day one.

See What Catalyst Can Do for Your Team

Walk us through your current process. We'll show you exactly where Catalyst fits and what results to expect.

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