What types of AI solutions does Eqxia build?

We design, build, and deploy custom AI solutions including: RAG (Retrieval-Augmented Generation) copilots for product recommendation and internal knowledge, B2B conversational agents (WhatsApp, email) with ERP integration, operational dashboards with IoT data analysis, deep learning recommendation engines, customer advisory chatbots, and workflow automations using n8n with human-in-the-loop validation.

Can you share examples of AI projects Eqxia has delivered?

Our track record includes: a multichannel RAG copilot for a 700+ product catalogue in the chemical industry, an AI-powered order intake agent on WhatsApp and email for B2B, a real-time operational cockpit for construction materials logistics, a deep learning recommendation engine (LSTM/Transformer) on Dataiku + BigQuery for luxury retail, a product advisory chatbot for cosmetics, and an n8n smart FAQ automation for a tourism operator.

Does Eqxia integrate AI solutions with existing business systems?

Yes, system integration is a core part of our implementation service. We integrate AI tools with ERP systems, CRM platforms, communication channels (WhatsApp, email, web chat), data platforms (BigQuery, Dataiku), and existing business workflows to ensure seamless adoption with minimal disruption.

What technologies does Eqxia work with?

We work across the full AI technology stack: large language models (Claude, ChatGPT, Gemini, Copilot), vector databases, RAG architectures, deep learning frameworks (LSTM, Transformer), data platforms (Dataiku, BigQuery), automation tools (n8n, Zapier, Make), and both cloud-based and open-source AI models deployable on-premise for organizations with strict data sovereignty requirements.

Does Eqxia provide maintenance and support after deployment?

Yes. Our implementation service covers the full lifecycle: design, build, deploy, and maintain. Post-deployment, we provide continuous monitoring, performance optimization, infrastructure updates, and strategic advisory to ensure your AI systems deliver lasting business value.

How long does a typical AI implementation project take?

Timelines vary based on project complexity. A focused automation (e.g., n8n workflow) can be delivered in weeks. More complex systems like recommendation engines or multi-channel RAG copilots typically take several months from design through production deployment. We scope every project with clear milestones and deliverables.

Can Eqxia work with on-premise or private AI models?

Yes. We work with both commercial cloud-based LLMs and open-source/open-weight models that can be deployed locally. This is essential for organizations with strict data residency, sovereignty, or compliance requirements. We help you evaluate the right approach based on your security and performance needs.

AI Implementation & Maintenance

Complete design, implementation, rollout and maintenance of AI tools that serve your business and your needs.

End-to-End AI Solutions

From initial concept to full deployment and ongoing maintenance, we provide comprehensive AI implementation services. Our expert team ensures your AI solutions are designed, built, and maintained to deliver maximum value for your business.

Custom AI Development

Tailored AI solutions designed specifically for your business requirements and workflows.

System Integration

Seamless integration of AI tools with your existing business systems and processes.

Deployment & Rollout

Complete deployment strategy and phased rollout to ensure smooth adoption across your organization.

Ongoing Maintenance

Continuous monitoring, updates, and optimization to keep your AI systems performing at their best.

FAQ

We design, build, and deploy custom AI solutions including: RAG (Retrieval-Augmented Generation) copilots for product recommendation and internal knowledge, B2B conversational agents (WhatsApp, email) with ERP integration, operational dashboards with IoT data analysis, deep learning recommendation engines, customer advisory chatbots, and workflow automations using n8n with human-in-the-loop validation.
Our track record includes: a multichannel RAG copilot for a 700+ product catalogue in the chemical industry, an AI-powered order intake agent on WhatsApp and email for B2B, a real-time operational cockpit for construction materials logistics, a deep learning recommendation engine (LSTM/Transformer) on Dataiku + BigQuery for luxury retail, a product advisory chatbot for cosmetics, and an n8n smart FAQ automation for a tourism operator.
Yes, system integration is a core part of our implementation service. We integrate AI tools with ERP systems, CRM platforms, communication channels (WhatsApp, email, web chat), data platforms (BigQuery, Dataiku), and existing business workflows to ensure seamless adoption with minimal disruption.
We work across the full AI technology stack: large language models (Claude, ChatGPT, Gemini, Copilot), vector databases, RAG architectures, deep learning frameworks (LSTM, Transformer), data platforms (Dataiku, BigQuery), automation tools (n8n, Zapier, Make), and both cloud-based and open-source AI models deployable on-premise for organizations with strict data sovereignty requirements.
Yes. Our implementation service covers the full lifecycle: design, build, deploy, and maintain. Post-deployment, we provide continuous monitoring, performance optimization, infrastructure updates, and strategic advisory to ensure your AI systems deliver lasting business value.
Timelines vary based on project complexity. A focused automation (e.g., n8n workflow) can be delivered in weeks. More complex systems like recommendation engines or multi-channel RAG copilots typically take several months from design through production deployment. We scope every project with clear milestones and deliverables.
Yes. We work with both commercial cloud-based LLMs and open-source/open-weight models that can be deployed locally. This is essential for organizations with strict data residency, sovereignty, or compliance requirements. We help you evaluate the right approach based on your security and performance needs.