Artificial Intelligence Center of Excellence
Data-Driven
Intelligence.
We don't just use APIs; we build custom models. Qbitx Systems empowers enterprises to harness the power of GenAI, Predictive Analytics, and Computer Vision to solve real-world efficiency problems.
import torch
import torch.nn as nn
class QbitxModel(nn.Module):
def __init__(self):
super(QbitxModel, self).__init__()
self.transformer = nn.Transformer()
def forward(self, x):
return self.transformer(x)
# Optimizing constraints...
import torch.nn as nn
class QbitxModel(nn.Module):
def __init__(self):
super(QbitxModel, self).__init__()
self.transformer = nn.Transformer()
def forward(self, x):
return self.transformer(x)
# Optimizing constraints...
Our AI Capabilities
LLMs & Chatbots
Custom RAG (Retrieval Augmented Generation) pipelines using GPT-4 or Llama 2. Build internal knowledge bases that talk back.
- • Customer Support Automation
- • Document Analysis
Predictive Analytics
Forecast sales, churn, and inventory requirements with high accuracy using regression models and time-series analysis.
- • Demand Forecasting
- • Risk Assessment
Computer Vision
Automated quality assurance, facial recognition, and object detection for manufacturing and security.
- • Defect Detection
- • OCR (Text Extraction)
Technology Stack
PyTorch
TensorFlow
OpenAI
LangChain
HuggingFace
Pinecone