Enterprise-Grade AI Evaluation Engine 2.0

Hire the top 1% of Engineering Talent

The professional Applicant Tracking System powered by Hybrid AI. Catch strict type violations, evaluate domain-driven design, and streamline your recruitment pipeline before they merge.

app.akasha.inc/evaluate/c-19x

Backend Software Engineer

Candidate: Alex Chen • GitHub Integration

Score: 94/100

Code Quality Analysis

Phase 2 Passed

0 usages of 'any' keyword found

Strong return types enforced on controllers

No forceful 'as' type casting

AI Conclusion: Candidate demonstrates senior-level understanding of TypeScript strictness.

Repository Structure

📁 src/

📁 domain/

📁 infrastructure/

📁 application/

📁 presentation/

Clean Architecture Detected

A complete platform for modern technical hiring

We replace tedious manual code reviews and clunky ATS software with an integrated, intelligent, and highly secure workspace.

Hybrid AI Architecture

Leverages local LLMs for structural audits and cloud models (Gemini/Groq) for subjective DDD analysis, protecting privacy while ensuring deep technical evaluations.

Strict Code Scanning

Batched, concurrent static analysis against candidate GitHub repositories. Automatically hunts and flags type violations, "any" keywords, and architectural anti-patterns.

Visual ATS Pipeline

Manage candidates through customizable campaign rounds. Build dynamic application forms, attach Cloudinary-hosted resumes securely, and track progress effortlessly.

Frequently Asked Questions

Everything you need to know about how Akasha evaluates candidates securely and effectively.

Absolutely not. We respect intellectual property and data sovereignty. The local LLM processes structural data completely offline. Any code snippets transmitted to our cloud models (Gemini/Groq) are processed ephemerally and are subject to strict zero-data-retention API agreements.
Our hybrid multi-phase analysis maps the entire project structure first to understand boundaries. It then specifically targets core domain files (e.g., controllers, services, entities, value objects) and analyzes the separation of concerns, the strictness of typing enforcement, and the clarity of domain terminology against established industry standards.
Currently, Akasha excels at evaluating strongly-typed backend languages like TypeScript (Node.js/NestJS), Go, and Java/Spring Boot. The regex-based static analysis engine is highly optimized for strict typing checks in TypeScript, while the structural audit can handle any modern backend framework architecture.
Akasha handles third-party API rate limits (like GitHub's) elegantly via batched, concurrent sequential processing. While there are no hard limits built into our enterprise plans, we throttle requests gracefully to prevent IP bans and ensure a smooth experience for large hiring campaigns.
All candidate personal information and uploaded files (e.g., resumes via Cloudinary) are encrypted. When a candidate record is deleted from your workspace, all associated metadata and hosted files are permanently destroyed. You have full control over data retention policies.
Our engineering and support teams are always available to assist. Please reach out to careers@oxferal.com for any technical support, custom integration requests, or enterprise pricing inquiries.
Still have questions? Contact us at careers@oxferal.com

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