§ 01 — ENTERPRISE SAAS PRODUCT rev: 2026.2

Hire Smarter — AI-Driven Technical Talent Intelligence

Accelerate technical recruitment by replacing superficial buzzword filtering with concrete engineering proof. Automate unstructured resume evaluation, execute multi-point Git repository code audits, and synchronize interviewer feedback across a unified intelligence dashboard.

§ 02 — OPERATIONAL PROVENANCE & ORIGIN

Built for Our Indian Venture Studio Recruitment

At DBERT Labs, we enforce a definitive operational mandate: we construct and execute our solutions internally before offering them commercially. The Hiring Automation Suite was originally built to streamline recruitment for our incubated venture studio technology squads and advanced industrial fellowship intakes, where we evaluate hundreds of engineering applicants every month.

The Engineering Motivation

Reviewing hundreds of developer portfolios manually created an intolerable bottleneck for our senior technical leads, while traditional recruitment software merely matched superficial keyword occurrences without inspecting repository quality. We constructed an automated auditing pipeline that directly links to applicant GitHub profiles, parses commit velocity, and flags superficial AI boilerplate. Today, engineering organizations across India deploy our suite to hire verified technical talent with unprecedented precision.

§ 03 — ARCHITECTURAL EVALUATION THESIS

Reviewing hundreds of technical resumes by hand is a devastating bottleneck for engineering leaders. Our platform bypasses keyword spam by scanning actual candidate codebases, auditing pull request documentation, identifying code cloning patterns, and delivering scored technical recommendations directly to your hiring panel.

§ 04 — CORE ARCHITECTURAL SPECIFICATIONS

Engineered for Deep Technical Scaffolding

1. Semantic Resume Scoring

Score candidate profiles based on how accurately their demonstrated project architectures and system toolchains map to your exact job specifications.

  • • Parsing complex unstructured PDF & LaTeX profiles
  • • Matching architectural skills utilizing semantic logic
  • • Automatic flagging of chronological inconsistencies

2. Git Code Auditing Engine

Audit candidate code portfolios automatically, inspecting structural commit frequency, unit test coverage, and documentation rigor across active repos.

  • • Evaluating pull-request communication rigor
  • • Auditing repository Readme and architecture design
  • • Detecting cloned tutorial boilerplate & plagiarism

3. Collaborative Evaluation Hub

Coordinate technical candidate interviews and synthesize scoring consensus across engineering panels in a secure centralized dashboard.

  • • Unified scorecard & architectural feedback forms
  • • Permanent technical interview transcript logs
  • • Automated status update webhook notifications
§ 05 — SECURITY & COMPLIANCE RIGOR

Candidate Data Protection & RBAC

Technical hiring involves highly confidential corporate evaluations and personal candidate records. Our suite enforces strict architectural isolation and role-based clearance boundaries.

Role-Based Access Control (RBAC)

Configure fine-grained access boundaries between HR generalists, external technical interviewers, and VP of Engineering evaluators. External interviewers view relevant repository scorecards without accessing compensation metadata or historical hiring transcripts.

Encrypted Record Persistence

All parsed applicant profiles, GitHub personal authentication tokens, and algorithmic assessment scores are encrypted at rest via AES-256 within secure relational database schemas, ensuring compliance with Indian data privacy statutes.

§ 06 — SYSTEM & DATABASE INTEGRATIONS

Supported Enterprise Ecosystem Integrations

GitHub APIGitLab SDKPostgreSQLPrisma ORMGreenhouse HRWorkday APISlack / TeamsDocker RunTimeREST Webhooks
§ 07 — COMMERCIAL LICENSING & DEPLOYMENT TIERS

Transparent Enterprise SaaS Licensing

Scale your technical evaluation velocity with predictable monthly software licenses tailored for Indian venture technology teams and enterprise recruitment organizations.

Startup Squad Tier
₹40,000 / month

Engineered for agile startup developer teams evaluating quarterly technical apprenticeship and engineering cohorts.

  • Up to 250 candidate repository audits/mo
  • Automated PDF semantic CV scoring
  • Standard business hour engineering SLA
Select Startup Tier →
High Growth
Enterprise Recruiting
₹95,000 / month

Comprehensive hiring automation for scaling venture-backed corporations and high-volume talent platforms.

  • Up to 1,500 candidate repository audits/mo
  • Plagiarism & generative boilerplate detection
  • Dedicated HRIS & Slack webhook integration
Inquire Enterprise Tier →
Venture Studio Custom
Custom Scope

Tailored engineering recruitment architectures combined with direct talent pipeline access from DBERT Labs.

  • Custom repository code heuristic evaluation
  • Direct pipeline integration with DBERT fellows
  • Co-engineered interview technical challenges
Discuss Custom Scope →
§ 08 — PRODUCT TECHNICAL KNOWLEDGE BASE

Frequently Asked Questions

Standard timed puzzle tests fail to reflect real-world engineering proficiency and trigger candidate friction. Our platform analyzes candidates actual public or submitted Git repositories—evaluating structural commit frequency, pull-request documentation clarity, test suite coverage, and modular design consistency against real production standards.

Yes. Powered by our core Document AI optical ingestion pipeline, the talent evaluation engine ingests varied multi-page PDF CVs, personal portfolios, and project descriptions, mapping demonstrated tools and project architectures against your specific job requirement schemas.

Our repository evaluation heuristics inspect semantic AST (Abstract Syntax Tree) patterns, anomalous commit timing spikes (e.g., thousands of lines committed in a single unreviewed timestamp), and structural similarity against public tutorial boilerplate, flagging suspicious submissions for interviewer review.

Yes. The suite natively furnishes bidirectional webhook connectors and REST APIs capable of updating interview scorecard registries in greenhouse, Workday, BambooHR, and automating interview scheduling status notifications across corporate Slack and Microsoft Teams channels.

All candidate resumes, code evaluation outputs, and internal reviewer feedback scorecards are encrypted in transit and at rest within isolated database tables, strictly adhering to enterprise data retention schedules and Indian data privacy standards.

§ 09 — RELATED AI SOLUTIONS & INFRASTRUCTURE

Explore Complementary DBERT Platforms

Intern Management System

Manage hired technical apprentices, monitor daily sprint commits, and streamline review mentorship.

View Intern Portal →

Certificate Verification API

Cryptographically authenticate candidate graduation diplomas and recommendation letters in real time.

View Verification API →

Document AI Extraction

Convert unstructured PDF candidate portfolios and financial contracts into strict JSON schemas.

View Document AI →
§ 10 — SCHEDULE ENTERPRISE DEPLOYMENT

Custom Enterprise Pricing

Deployed privately to your AWS/GCP VPC. Pricing scales with token volume and active users. Fill out the form below to request a tailored quote and live demo.

Are you an early-stage founder? Incubated startups receive free tier access to this product. Apply for Incubation →

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