Beta Launch: January 14, 2026

Your AI Coding Assistant That Actually Learns Your Codebase

Stop fighting with AI that hallucinates. Evolv fine-tunes custom models on your project daily, delivering project-specific solutions with 5-12% error rates—3x more accurate than traditional AI assistants.

5-12%
Error Rate
5-15s
Response Time
$49
Unlimited Usage
payment-service.ts
// Traditional AI: Generic, hallucinated response
function processPayment() {
// ❌ Doesn't match your project patterns
}
// Evolv: Learns your exact patterns
async function processPayment() {
// ✓ Matches your service layer architecture
// ✓ Uses your error handling conventions
}

Your AI Assistant Doesn't Understand Your Project

And it's costing you hours of debugging and frustration every day

⚠️

"Almost Right" Isn't Good Enough

66% of developers

say AI coding tools generate solutions that are "almost right"—requiring constant debugging and refinement.

🔄

Hallucinations Kill Productivity

24-30% error rate

Traditional AI assistants hallucinate functions, APIs, and patterns that don't exist in your codebase.

💬

Endless Prompting Required

45.2% of developers

spend excessive time debugging AI-generated code because the AI lacks project-specific context.

📈

Doesn't Scale with Complexity

>60 seconds

response time for complex projects as traditional AI struggles with large, intricate codebases.

📊
81% of developers now use AI coding assistants, but most are frustrated with tools that don't truly understand their projects.
The Evolv Difference

Self-Evolving AI That Learns Your Codebase

While traditional AI uses generic models, Evolv fine-tunes custom models on your project every single day

Traditional AI Assistants

Generic Approach
🤖

General LLM

Same model for everyone

📝

In-Context Learning

Limited context window

Generic Solutions

24-30% error rate

VS

Evolv

Self-Evolving
🧬

Custom Fine-Tuning

Trained on your codebase

🔄

Daily Updates

Automated nightly retraining

Project-Specific Code

5-12% error rate

Built for Complex Projects. Designed for Speed.

Everything you need from an AI coding assistant, without the frustration

3x More Accurate

5-12% error rate vs 24-30% for traditional AI. Fine-tuned on your exact patterns means fewer hallucinations and more reliable code.

↓ 60% fewer errors

4x Faster Responses

5-15 second response time even for complex projects. No more waiting 60+ seconds for suggestions that don't fit your codebase.

5-15s avg response

Zero Context Loss

Project-level reasoning with full awareness of your architecture, patterns, and conventions. No more explaining the same context repeatedly.

100% project context

Minimal Prompting

Since Evolv understands your project deeply, you can ask natural questions without lengthy, detailed prompts or excessive context.

↓ 70% less prompting

Enterprise-Grade Security

SOC 2 & GDPR compliant with on-premise hosting options. Your code never leaves your infrastructure if you don't want it to.

Cloud + On-prem

Unlimited Usage

$49/month for unlimited requests. No token limits, no request caps, no surprise bills. Use it as much as you need.

requests
Simple Setup

From Setup to Smart Code in Hours

Automated fine-tuning means zero manual configuration—just connect and let Evolv learn

01

Connect Your Repository

Link your codebase via GitHub, GitLab, or Bitbucket. Evolv securely analyzes your project structure, patterns, and conventions.

⏱️ Takes 5 minutes
🔗
Repository Connected
02

Initial Fine-Tuning

Evolv trains a custom model on your codebase using advanced LoRa adapters. This creates an AI that understands your project's unique architecture.

⏱️ Up to 8 hours (one-time)
🧬
Model Training
03

Start Coding with Context

Use Evolv directly in your IDE. Get project-specific suggestions, refactoring help, and bug fixes that actually match your codebase.

⚡ 5-15s response time
💻
Ready to Code
04

Continuous Evolution

Every night, Evolv automatically retrains on your latest code changes. Your AI gets smarter as your project grows.

🔄 30-minute nightly updates
🌙
Daily Updates
Automated

How Evolv Stacks Up

See why teams are switching from Cursor and ClaudeCode

Feature
Evolv Best Choice
Cursor / ClaudeCode refact.ai
Contextual Intelligence How it understands your code RAG + Self-evolving Daily fine-tuning on your project RAG + General LLMs No project-specific learning RAG + Fine-tuned Manual fine-tuning required
Continuous Learning Keeps up with your changes Daily (automated) Retrains every night No Static model Manual You trigger updates
Error Rate Accuracy of suggestions 5-12% 3x more accurate 24-30% Frequent hallucinations 5-30% Varies by setup
Speed (Complex Projects) Response time 5-15s Optimized for scale >60s Slows with complexity 5-30s Moderate speed
Pricing Monthly cost $49 unlimited No request limits $20-200 0.5k-10k requests/month $10-50 limited Usage caps apply
Best For Ideal use case Complex projects 100+ files, 200+ lines each Simple projects Prototypes, small codebases Complex projects Requires manual setup
Privacy & Hosting Deployment options Cloud + On-prem SOC 2 & GDPR compliant Cloud only Limited control Cloud + On-prem Enterprise options

Built for Teams Working on Complex Projects

Evolv shines where traditional AI assistants fail—on established, intricate codebases

🏢

Software Development Agencies

Managing multiple complex client projects with 20-250 developers. Reduce debugging time and maintain code quality across teams.

  • ✓ Team sizes: 20-250 developers
  • ✓ Multiple concurrent projects
  • ✓ Need consistent code quality
  • ✓ Budget-conscious with predictable costs
👥

Engineering Teams & CTOs

Working on established products with large, intricate codebases. Need SOC 2 & GDPR compliance with on-premise options.

  • ✓ Established codebases (100+ files)
  • ✓ Complex architectures
  • ✓ Enterprise security requirements
  • ✓ Scaling development velocity

Perfect For Projects With:

📁
100+ files Each with 200+ lines
🏗️
Complex architecture Microservices, multi-layer
📚
Established patterns Custom conventions & standards
🔄
Active development Frequent changes & updates

Not Ideal For:

Small prototypes, single-file scripts, or projects with less than 50 files. Traditional AI assistants work fine for simple codebases—Evolv is built for complexity.

Join the AI Coding Revolution

Developers are adopting AI assistants rapidly—but most are frustrated with current tools

81%
of developers now use AI coding assistants
Industry Survey, 2025
49%
use them daily in their workflow
Daily Active Users

But Current Tools Are Falling Short:

66% say AI solutions are "almost right"
45.2% waste time debugging AI-generated code
📈
27% CAGR
AI coding assistant market growth through 2030
The market is exploding—but developers need tools that actually deliver on the promise.
🚀
$1M ARR in Letters of Intent Collected before beta launch

Simple, Transparent Pricing

Unlimited usage. No surprise bills. No token counting.

Enterprise

Custom
  • Everything in Pro
  • On-premise hosting option
  • Custom SLA
  • Dedicated support team
  • Volume discounts
  • Custom integrations
Free workspace included: First workspace is free for individual developers
Additional workspaces: $49/month each (unlimited projects per workspace)
No hidden fees: What you see is what you pay
💰
Compare: Cursor charges $20-200/month for 500-10,000 requests. With Evolv, you get unlimited requests at $49/month with better accuracy and speed.

Frequently Asked Questions

Everything you need to know about Evolv

Evolv handles fine-tuning completely automatically. After you connect your repository, the initial fine-tuning takes up to 8 hours (one-time). Then every night, Evolv automatically retrains on your latest code changes—these updates take about 30 minutes. You never have to trigger or manage the process manually.

Yes, your code is completely secure. Evolv is SOC 2 and GDPR compliant. For cloud hosting, your code is encrypted at rest and in transit. For enterprises with strict security requirements, we offer on-premise hosting where your code never leaves your infrastructure. The fine-tuned models are specific to your organization and never shared.

Evolv supports all major programming languages including JavaScript/TypeScript, Python, Java, C#, Go, Ruby, PHP, Rust, and more. It works with any framework or library because it learns directly from your codebase, regardless of the tech stack you're using.

Setup takes about 5 minutes to connect your repository. The initial fine-tuning takes up to 8 hours, which runs in the background. After that, you can immediately start using Evolv with project-specific context. The more you use it and the more your codebase evolves, the better it gets with nightly updates.

Evolv is optimized for complex projects—specifically codebases with 100+ files where each file has 200+ lines of code. This is where traditional AI assistants struggle and where Evolv's fine-tuning approach shines. For smaller projects (less than 50 files), general AI assistants like Cursor or GitHub Copilot work fine.

Your first workspace is free for individual developers. Each additional workspace costs $49/month with unlimited usage. You can have multiple projects within a single workspace if they share similar patterns/architecture. Each workspace gets its own fine-tuned model updated nightly.

Absolutely! Early adopters who join during our beta launch (January 14, 2026) get a 45-day free trial with full access to all Pro features. No credit card required to start the trial.

Evolv currently integrates with VS Code and all JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.). We're working on additional integrations based on community feedback during the beta phase.

Beta Launch: January 14, 2026

Stop Fighting With AI That Doesn't Understand Your Project

Join the beta program and experience an AI coding assistant that actually learns your codebase. Get 45 days free with unlimited usage.

45-day free trial
No credit card required
Setup in 5 minutes
Early adopter priority support

Join developers from 20+ companies already on the waitlist

💬

"We've collected $1M ARR in Letters of Intent from teams who are tired of debugging AI-generated code that doesn't fit their projects."