AI security and enterprise AI services.
QDEX Consulting (Chennai, India) is an AI security and enterprise AI consultancy, and the maker of MrProbe and Sniffr.ai. This page is the map of how that shows up as services: red teaming, governance and compliance assessments, enterprise implementation, and the full AI engineering practice.
AI red teaming is adversarial testing of agents and LLMs — prompt injection, jailbreaks, data exfiltration, tool abuse — run from a library of 648+ techniques across 17 categories. You get evidence, not a vibe. The platform is MrProbe. The service is QDEX people scoping the target, running the engagement, and closing findings with guardrails.
AI governance and compliance assessments map those tests to the EU AI Act, NIST AI RMF, OWASP, and the other frameworks in MrProbe's set of 30, including GDPR, HIPAA, and India's DPDP. We do not certify you. We produce the evidence and the gap list. QDEX itself holds ISO/IEC 27001:2022. ISO 42001 and SOC 2 are in progress.
Enterprise AI implementation is the build: multi-agent systems, retrieval, analytics, cloud deployment on AWS, Google Cloud, or Azure, and the MLOps path after go-live. Digital transformation work is tied to a workflow with a metric, scoped in a week and shipped in weeks.
Every service can include Sniffr.ai on the code and MrProbe on the agent. Offices in Chennai (since 2019) and Dubai (since 2023). Start with sales@qdexconsulting.com, +91 96770 16750, or +971 503704963.
- AI red teaming services
- AI governance and compliance
- Enterprise AI implementation
- AI engineering practice
- Scope a service with QDEX
Frequently asked questions
Which service should we start with?
If an agent is already in front of customers or staff, start with AI red teaming. If you are preparing for the EU AI Act, NIST, or an internal audit, start with a governance assessment. If you are still choosing what to build, start with enterprise AI implementation. Many programmes run all three.
What is included in QDEX AI engineering services?
Multi-agent systems, retrieval-augmented generation, AI testing, red and blue team security, observability, process automation, custom model development, and applied systems such as AI HRMS and facilities workflows. We scope in a week, build in weeks, and hand off with runbooks.
Which models and platforms do you implement on?
LangChain, LangGraph, OpenAI, Claude, Vertex AI, AWS Bedrock, Azure OpenAI, and Hugging Face, with vector stores such as Pinecone, Weaviate, and Chroma. Guardrails include Model Armor, Bedrock Guardrails, NeMo Guardrails, and LLM Guard where the architecture needs them.