AI-Powered Software Engineering Consortium for Smarter Development, Intelligent Testing & Enterprise-Grade Quality Assurance
UnifiCloud AI, Covlant AI, and Rokkun combine their expertise to deliver a unified AI-driven software engineering ecosystem—accelerating software development, intelligent code generation, automated testing, AI-powered validation, and enterprise-grade quality assurance from concept to deployment.
UnifiCloud AI is a Global Channel Partner of Covlant (SOC 2 Type II Compliant) and
An Authorized Channel Partner of Rokkun (ISO/IEC 27001 Certified)
Modern software development requires more than writing code—it demands speed, accuracy, security, and continuous quality. Our strategic consortium brings together the strengths of UnifiCloud AI, Covlant AI, and Rokkun to provide organizations with a complete AI-powered Software Development Lifecycle (SDLC) solution that transforms how software is built, tested, validated, and delivered.
Test Intelligently
Deploy With Confidence
AI-Powered Impact Testing Platform
Ship Faster. Think AI.
Where Teams Move at AI Speed
Catch issues during development, not in production.
Automatically generate tests that truly validate your code.
Identify failed tests instantly, no endless searching required.
Deterministic logic + top-tier LLMs = better accuracy.
How does Covlant work?
Priority-driven testing from start to finish
Covlant tests only changes to maximize AI impact.
Focus testing on what changed.
Analyze PRs, prioritize impacted flows, and test only what matters.
Auto-generate and execute tests instantly.
Covlant selects existing tests and generates new ones to cover impacted code.
Human-controlled review for full oversight.
View results, investigate failures, and decide next steps.
Our secret is precision testing through AI change analysis.
Powered by AI that deeply
understands your code
CodeGraph
A full, trustworthy map of your codebase
We chart your entire code and its connections to identify exactly what changed and what it affects. The analysis is precise and reliable, capturing small updates that general-purpose LLMs overlook.
Quality Agents
AI agents for testing, reviewed by humans
Our agents leverage top-tier AI to generate, pick, and execute only relevant tests. Tests are verified before results are displayed. You review outcomes to quickly and clearly see what passed, what failed, and why.
Why choose Covlant?
More precise tests.
Swift review
Monitors actual code changes
Covlant directly examines source code and dependencies to pinpoint exactly what changed and which flows were impacted.
Superior AI accuracy
Deterministic analysis catches subtle changes LLMs overlook, combined with top-tier AI for testing and orchestration.
Rapid, effortless QA
Prioritizes and executes only impacted tests, so QA teams verify changes faster without manual triage or lengthy delays.
Full-stack testing
Unit, integration, and end-to-end tests in one platform, without piecing together tools that only cover part of the stack.
Built-in human control
Automation manages test orchestration while you remain in the loop to review results and determine next steps.
Unified Quality Dashboard
Provides developers and QA teams a shared view of code change, impact, and test results, so everyone remains aligned.
What amazing content will you create with Covlant Neural Engine
Product Overview
Few would dispute that Generative AI (GenAI) is set to revolutionize code development. By automating repetitive tasks, boosting collaboration, and speeding up the coding process, GenAI enables developers to focus more on complex problem-solving and the creative aspects of their work.
R&D
Covlant recognizes that this shift will take time, as it represents a transformational change in how code has been developed for decades. One area we believe has been largely overlooked is test code generation. Research consistently shows that higher test coverage results in higher-quality code with fewer defects. Additionally, developers often dislike writing test code and are open to exploring GenAI solutions to assist, as developer surveys indicate.
Challenges with GenAI
One challenge with GenAI-generated code is that it isn’t always executable. Covlant believes that its Neural Engine and Build System have overcome the inherent issues often encountered when using GenAI to write code—particularly test code in Covlant’s case.
How It Works?
Key Features
Deep Code Analysis: Covlant analyzes the codebase with a comprehensive understanding of the source code’s functionality, featuring a CLI chatbot that allows developers to ask questions and gain actionable insights.
Custom Test Code Generation: Developers initiate test code creation, tailored to the specific file or set of files they are working on.
Utilization of Public LLMs: Rather than training or fine-tuning its own large language models (LLMs), Covlant leverages publicly available models such as OpenAI, Anthropic, and Llama.
Flexible Deployment Options: The Neural Engine and Build System can be deployed in Covlant’s cloud, on-premises in customer data centers, or within existing cloud environments.
Technical Specification
● Supported LLMs: OpenAI, Azure OpenAI, Anthropic, Llama
● Languages Supported: Java, Python, Golang, TypeScript
● Deployment models: On-premises or SaaS
● API Availability: Present, not currently released as of Nov. 2024
Repository-Wide Chat
- Get instant answers to your coding questions
- Receive context-aware suggestions and explanations
- Enjoy seamless integration with your development environment
Executable Test Case Generator
- Get instant answers to your coding questions
- Receive context-aware suggestions and explanations
- Enjoy seamless integration with your development environment
Unleash Your Development Potential
Real Results with AI-Driven Quality Control
Faster Test Case Generation: Quickly create test cases to save time and effort.
Reduced Knowledge Transfer Time: Minimize the time needed to onboard and share expertise.
Increased Code Coverage: Achieve higher test coverage for more reliable and robust code.
Improved Bug Detection: Enhance the ability to detect and resolve bugs efficiently.
Streamlined Workflows: Optimize processes to produce quality code with less hassle.
Proficient Development and Troubleshooting: Boost efficiency in coding and problem-solving tasks.
USA, INDIA
USA, UK, INDIA
United Kingdom
United Kingdom
United Kingdom
United Kingdom
India