AI Project Intelligence Platform

Aurora Platform

From project design to delivery — Aurora is the AI co-pilot that understands your architecture documents, generates your test strategy, validates quality, and keeps your team aligned. Built for Telecom, Banking, IPTV, CI/CD, and beyond.

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// Aurora — project lifecycle in motion
phase: LLD → Test Generation
doc_type: Telecom · BSS · RADIUS
areas_extracted: 10 LLD areas
tcs_generated: 93 test cases
coverage: 98% objectives linked
llm: local · on-premise · learning

The Aurora Journey

Design → Specify → Test → Learn.

Aurora doesn't start at testing. It starts where your project starts — with the architecture — and follows the work all the way to delivery.

Architecture

Upload HLD, LLD, BRD, C4, API specs, infra diagrams

Requirements

Extract objectives, SHALL statements, acceptance criteria

Test Strategy

AI generates full test suite mapped to each LLD area

Execution

Run, track, and report test cycles with coverage maps

Self-Learning

Aurora improves continuously from every project cycle

Built For

Any discipline.
Any complexity.

Aurora understands 17 document types across the full engineering stack. Whatever your domain, it speaks your language.

Telecom / BSS

RADIUS, BSS, Mediation, Signalling, IMS, Network Functions

CI/CD Pipelines

Pipeline specs, deployment runbooks, infra-as-code, YAML configs

Banking & Finance

Core banking, payment flows, compliance, API contracts

IPTV & Media

Streaming, DRM, EPG, subscriber management, analytics

Security

Threat models, security specs, SAST integration, compliance validation

Cloud & Infra

C4 architecture, infra diagrams, DB schemas, gRPC service specs

17 Supported Document Types

HLD LLD BRD User Stories Test Plan Security Spec Threat Model API Spec gRPC C4 Architecture ADR Infra YAML Config DB Schema Release Plan Metadata Runbook

Core Capabilities

What Aurora does.

Document Ingestion & RAG

Upload any engineering doc. Aurora chunks, embeds, and indexes it in Qdrant — making it instantly queryable in natural language.

Requirements Extraction

Automatically extracts SHALL statements, objectives, and acceptance criteria from LLD/HLD/BRD documents — per section, per area.

AI Test Case Generation

Generates a complete, structured test suite from your architecture docs. Each test case is linked to its source objective — full traceability.

Coverage & Gap Analysis

See which LLD areas have no tests, which objectives are uncovered, and which phases are ready for SIT — answered in plain language.

Project & Team Operations

Phases, milestones, test executions, defects, RCA — all tracked. Team workload and performance analytics surface automatically.

Self-Improving AI

Aurora's knowledge distillation engine (Qwen → TinyLlama) learns from every project cycle — getting smarter on your specific domain over time.

Fully Self-Hosted

Runs on your own GPU infrastructure. Local LLM inference via Ollama. Your architecture documents and test data never leave your environment.

Open API & CI/CD Integration

Every capability accessible via REST API. Plug Aurora into your existing CI/CD pipeline, Jira, or custom tooling with zero friction.