Aqlix

Our Generative AI Services

Consulting & Strategy

Identify impactful GenAI use cases, assess feasibility, and build a secure roadmap aligned with your business priorities.

User Research and Analysis

Model Development & Customization

Fine-tune LLMs and vision models for your domain—whether it’s customer service, document generation, or internal knowledge access.

Custom User Experience Design

Prompt Engineering

Improve output quality through smart prompt design, context tuning, and instruction refinement.

UX Strategy and Design

Integration & Architecture

Seamlessly connect GenAI with your internal systems, databases, and APIs for real-time, scalable interaction.

Wireframing and Interactive Prototyping

Evaluation & Optimization

Use RAG, human feedback loops, and performance testing to refine output accuracy and cost-efficiency.

Web and Mobile App UX Design

Responsible AI & Governance

Apply guardrails for bias, hallucination control, security, and privacy—ensuring safe production use.

Usability Testing

Key Facts About Generative AI Development

Main reason to consider Aqlix for generative AI development
Why Generative AI Matters
Types of GenAI Solutions We Build
Who Uses Generative AI Services?

    Aqlix combines deep AI engineering with business strategy to deliver GenAI solutions that drive measurable results.

  • Use case-focused delivery
  • Full-stack model and system expertise
  • Custom and open-source LLM integration
  • RAG-based architectures for real-time knowledge
  • Cloud, hybrid, and on-prem deployment options
  • Automates complex workflows like support, summarization, and personalization
  • Speeds up internal access to knowledge
  • Enables content creation at scale across departments
  • Enhances user engagement and productivity
  • Future-proofs digital operations with next-gen intelligence
  • Chatbots & virtual assistants
  • Content & document generation tools
  • AI-powered knowledge bases (RAG systems)
  • Personalized recommendation engines
  • AI writing aids for marketing and product
  • Internal tools for query-based operations
  • Code generation & developer assistants
  • Startups building AI-powered MVPs
  • Enterprises automating operations or customer support
  • E-commerce & Media teams creating personalized content
  • Healthcare & Legal organizations summarizing complex documents
  • Banks & FinTech simplifying compliance and customer services
contact with Aqlix
100s of companies worldwide trust us for their UX
Design services.

Why Aqlix Stands Out

End-to-End Generative AI Expertise

We manage the full lifecycle—from strategy and model tuning to deployment and continuous learning.

Platform & Model Agnostic

Whether you use GPT-4, Claude, PaLM, or an open-source model, we integrate the best-fit solution for your needs.

Secure, Scalable Infrastructure

We ensure performance, compliance, and scalability through CI/CD pipelines, vector databases, and containerized deployments.

Frequently Asked Questions (FAQ)

1. What is Generative AI, and how can it help my business?

Generative AI creates new content—text, code, images—based on data and prompts. It can streamline content creation, automate support, and enhance personalization across your organization.

2. How does Aqlix approach Generative AI projects?

We begin with use case discovery and feasibility analysis, then move into model development, prompt tuning, integration, and long-term support.

3. Is Generative AI secure to use for business data?

Yes. We implement encryption, role-based access, masking, and private deployments to ensure your data is secure and compliant.

4. Can Aqlix customize GenAI for my industry?

Absolutely. We fine-tune models using your specific datasets to build tools for legal, financial, healthcare, or other industry contexts.

5. How do you minimize hallucinations in AI outputs?

We use prompt engineering, retrieval-augmented generation (RAG), and human feedback loops to reduce irrelevant or incorrect outputs.

6. What’s the usual delivery time for a GenAI project?

Smaller POCs can be launched in 4–6 weeks. Full-featured deployments with system integration may take 8–12 weeks depending on complexity.