Our AI Development Services
Discovery & Consulting
We define your AI roadmap through strategic workshops, use-case validation, data audits, and feasibility planning.
Model Development & Engineering
Our experts craft ML, deep learning, and generative AI models tailored to your goals—using frameworks like TensorFlow, PyTorch, and OpenAI.
Custom AI Integration
Embed AI features into your products—chatbots, recommendation systems, automation engines—across web, mobile, or enterprise platforms.
Edge & Cloud Deployment
We deploy optimized AI models across edge devices or cloud infrastructure, enabling real-time inference at scale.
Quality Assurance & Testing
Comprehensive audits on model performance, fairness, user experience, and security ensure reliable and ethical AI delivery.
Launch & Iteration
We handle pilot rollouts, CI/CD setup, and feedback loops to iterate and optimize before full deployment.
Maintenance & Support
Continuous monitoring, retraining, and scaling to keep your AI solutions accurate, efficient, and up to date.
Key Factors about Our AI Development Service
- Strategic discovery
- Data-backed development
- Agile execution
- Enterprise-grade security
- Continuous improvement
We build intelligent, secure, and scalable AI systems tailored to your goals. Our process is built around:
- Boost efficiency across operations
- Automate decision-making
- Extract actionable insights from data
- Deliver personalized user experiences
- Drive innovation and ROI
- Generative AI Tools (text/image generation, custom GPTs)
- Smart Assistants & Chatbots (NLP-powered, task automation)
- Predictive Analytics (forecasting, risk scoring, anomaly detection)
- Computer Vision (image classification, defect detection)
- Process Automation (HR, logistics, finance workflows)
- On-Device AI (IoT, mobile, real-time inference)
Why Aqlix Stands Out
Full-Cycle Expertise
From consulting to deployment and MLOps—we handle every stage of AI development in-house.
Reliable Performance
Our systems are built for scale, security, and speed using modular pipelines, cloud-native tools, and ethical AI practices.
Tailored to You
Whether enterprise-grade automation or lightweight mobile AI, we adapt to your industry and user needs.
Our AI Development Tools
Frequently Asked Questions (FAQ)
AI project timelines vary based on complexity. A simple model or PoC may take 6–8 weeks, while full-scale enterprise solutions typically span 12–20 weeks. We follow agile delivery to ensure faster iterations and value at every stage.
Yes, we specialize in enhancing underperforming AI systems. Whether it's retraining with fresh data, optimizing model architecture, or improving deployment pipelines—we help unlock better accuracy, performance, and scalability.
We work with industry-standard tools like Python, TensorFlow, PyTorch, and scikit-learn. For generative AI and LLMs, we use OpenAI, LangChain, and cloud services like AWS, Azure, and GCP to deliver secure and scalable solutions.
Absolutely. We deploy lightweight models on mobile, IoT, and embedded systems using tools like TensorFlow Lite and ONNX. This enables real-time AI performance, even without constant internet connectivity—perfect for edge computing.
Yes, data security and ethical compliance are core to every solution we deliver. We implement encryption, access control, audit logs, and model bias checks—ensuring GDPR and industry compliance from development to deployment.
Post-launch, we provide full lifecycle support—monitoring performance, updating models, improving accuracy, and adapting to new data. Our scalable architecture ensures you can grow or extend your AI system as your needs evolve.
