What are AI/ML Solutions?
AI/ML Solutions are customized artificial intelligence systems deployed within business pipelines. By training predictive engines on company logs or connecting generative LLMs (like OpenAI GPT or Google Gemini) to corporate files using RAG architectures, businesses can automate up to 70% of manual email responses and support tickets.
Our AI/ML Development Process
- Data Discovery: Reviewing file locations and cleaning training datasets.
- Model Selection: Choosing between proprietary APIs or private local models.
- RAG Pipeline Design: Setting up database indices and chunking text logs.
- Model Training & Fine-Tuning: Tweaking weights and prompts to align responses.
- API Connectors: Hooking up AI logic to Slack, Teams, or website portals.
AI Case Study: Generative AI Customer Support Agent
Challenge: A logistics corporation experienced support desk bottlenecks, with support agents spending 70% of their day answering repetitive query emails.
Solution: Built a customized Retrieval-Augmented Generation (RAG) assistant connected to the company's shipping knowledge base.
Results: 65% customer query resolution automation, first response time reduced to 3 seconds, and support agent workloads optimized by 50%.
Frequently Asked Questions
- How do you prevent AI model hallucination?
- We design systems using strict Retrieval-Augmented Generation (RAG) pipelines, grounding the AI responses exclusively in your secure corporate knowledge base.
- What LLM APIs do you work with?
- We build systems using OpenAI, Anthropic Claude, Google Gemini, and open-source models like Llama 3 hosted on private clouds.