GenAI Engineering
End-to-End GenAI Engineering for Scalable, Secure, and Compliant Solutions
GenAI-powered platform revolutionizing design-to-build workflows by automating ideation, prototyping, and optimization using deep learning and generative modeling. It bridges creative intent with engineering precision for faster, smarter execution.
Resilient AI Secure Architecture
Secure AI Infrastructure
- Responsible Model Design: Enforce ethical principles in model training, including fairness, non-discrimination, and data minimization.
- Explainability & Auditability: Integrate tools like SHAP, LIME, and model cards to provide transparent decision-making and traceability.
- Policy-Driven Governance: Apply policy-as-code frameworks to manage model usage, access, and lifecycle across environments.
- Regulatory Compliance: Align with GDPR, ISO/IEC 42001, NIST AI RMF, and sector-specific standards through automated checks and reporting.
Build intelligent, adaptive GenAI applications
LLM & GenAI-Based App Development
- LLM-Driven Logic Generation: Use large language models to auto-generate backend workflows, business rules, and conversational interfaces.
- GenAI for Dynamic UX: Enable real-time content creation, personalization, and multimodal interactions (text, image, voice).
- Seamless Integration: Connect AI modules via REST, gRPC, or GraphQL APIs into existing cloud-native or enterprise systems.
- Optimized Deployment: Run models efficiently on cloud, edge, or hybrid environments using containerized microservices and inference accelerators.
Responsible AI & Governance
GenAI & LLM Governance
- Responsible Model Design: Enforce ethical principles in model training, including fairness, non-discrimination, and data minimization.
- Explainability & Auditability: Integrate tools like SHAP, LIME, and model cards to provide transparent decision-making and traceability.
- Policy-Driven Governance: Apply policy-as-code frameworks to manage model usage, access, and lifecycle across environments.
- Regulatory Compliance: Align with GDPR, ISO/IEC 42001, NIST AI RMF, and sector-specific standards through automated checks and reporting.
Services
Industry Focused AI Security Engineering Solutions
Drive business value with scalable AI security engineering applications tailored to real-world industry needs.
GenAI Risk Mitigation
- Threat modeling for GenAI and LLM systems
- Model input/output validation and prompt injection testing
- Secure integration reviews
Secure Agentic AI Systems
- Secure LLMOps pipeline design
- AI model hosting and data protection strategies
- Agentic AI system architecture and orchestration
AI Policy & Compliance
Why Choose Us
Why Choose Microtechx for GenAI Engineering
You're building smart machines, and we make sure they don’t turn into smart threats.
Insights
Real Results About GenAI Engineering
Lead Securely in the AI Security Engineering
Workshops
Our focused workshop strengthens your AI security posture by embedding responsible AI practices across model development, deployment, and monitoring. We help you build secure, resilient, and compliant GenAI systems.
- AI Security Assessments (2 Weeks)
- Responsible AI Governance (2 Weeks)
- Secure AI Architecture & Deployment (2 Weeks)
Assessment
Evaluate your current AI security posture. Identify gaps in model access controls, data protection, and governance alignment across LLMs, APIs, and deployment pipelines.
Accelerators
Kickstart your AI security journey with pre-built governance templates, model protection policies, and Zero Trust controls tailored to your LLMs, AI pipelines, and data environments.
Contact Us
Let’s Build Your Intelligent Enterprise
Get expert guidance and execution with our Cloud consulting team.