AI Software
Leverage artificial intelligence to predict, automate, and outperform competition — custom AI solutions for any industry.
Project Overview
Intelirate develops bespoke AI software that turns your data into a strategic asset. From computer vision to predictive analytics, from NLP to anomaly detection, we integrate machine learning into your core business processes. Our AI solutions are production‑ready, explainable, and continuously improving.
AI Software Services
- Predictive Analytics & Forecasting – Sales forecasting, demand prediction, churn modelling, maintenance scheduling, financial market prediction.
- Natural Language Processing (NLP) – Sentiment analysis, named entity recognition, document summarisation, chatbots, text classification, language translation.
- Computer Vision – Object detection (YOLO, Detectron2), facial recognition, optical character recognition (OCR), defect detection in manufacturing, medical imaging analysis.
- Recommendation Engines – Collaborative filtering, content‑based, hybrid models for e‑commerce, media, or content platforms.
- Anomaly Detection – Fraud detection, network intrusion detection, equipment failure prediction, quality control.
- Generative AI – Fine‑tuned LLMs (GPT, Llama, Mistral) for content generation, code assistance, or creative work.
- ML Model Deployment (MLOps) – CI/CD for models, A/B testing, model monitoring, drift detection, and automated retraining.
- Data Engineering Pipelines – ETL/ELT, data warehousing, feature stores, real‑time streaming with Kafka/Flink.
Our AI Development Lifecycle (CRISP‑DM based)
1. Business Understanding: We frame your problem as an ML task – classification, regression, clustering, etc. Define success metrics (accuracy, precision, recall, business KPIs).
2. Data Acquisition & Preparation: We help collect, clean, label, and augment your data. Handle missing values, outliers, and imbalances.
3. Feature Engineering & Model Selection: We extract meaningful features, try multiple algorithms (XGBoost, Random Forest, Neural Networks), and cross‑validate.
4. Training & Hyperparameter Tuning: Distributed training on GPUs (AWS SageMaker, Google Vertex AI). Bayesian or grid search for optimal parameters.
5. Evaluation & Explainability: Beyond accuracy – we provide SHAP/LIME explanations, confusion matrices, and ROC curves so you trust the model.
6. Deployment & Monitoring: Containerised model APIs (FastAPI, TorchServe). Monitor for data drift and concept drift; auto‑retrain triggers.
7. Continuous Improvement: Human‑in‑the‑loop feedback loops, online learning where applicable.
Industry‑Specific AI Use Cases We've Delivered
- Retail: Demand forecasting with 85% accuracy → reduced inventory waste by 30%.
- Finance: Fraud detection system with 99.2% precision → saved $5M annually in false positives.
- Manufacturing: Computer vision for defect detection on assembly line → increased yield by 15%.
- Healthcare: NLP model to extract ICD‑10 codes from clinical notes → reduced billing errors by 60%.
- Logistics: Route optimisation using reinforcement learning → cut fuel costs by 22%.
- Legal: Document summarisation and contract clause extraction → reduced review time from 5 hours to 15 minutes.
Client Testimonial
“Intelirate’s AI team is world‑class. They didn’t just build a model – they built a system that continuously learns and improves. Our customer churn prediction model now flags at‑risk accounts with 91% accuracy, allowing us to intervene early.”
— VP of Data, Subscription SaaS Company
Technical Stack & Tools
- Languages & Libraries: Python (TensorFlow, PyTorch, Scikit‑learn, Hugging Face), R, Julia
- LLM Fine‑tuning: OpenAI API, Llama 2/3, Mistral, Falcon, LangChain, LlamaIndex, RAG pipelines
- Computer Vision: OpenCV, YOLOv8, Detectron2, MediaPipe, TensorFlow Object Detection API
- MLOps: MLflow, Kubeflow, ZenML, Weights & Biases, DVC
- Cloud AI Services: AWS SageMaker, Google Vertex AI, Azure Machine Learning, Databricks
- Data Engineering: Apache Spark, Airflow, dbt, Snowflake, BigQuery
- Deployment: Docker, Kubernetes, FastAPI, TorchServe, TensorFlow Serving, ONNX
Pricing Models for AI Projects
- Proof of Concept (PoC) – $10k – $25k. Deliverable: working model on your data + feasibility report within 4‑6 weeks.
- Full Production System – $50k – $200k+. Includes data pipelines, deployment, monitoring dashboard, and 3 months of support.
- Time & Materials – $8k – $20k/month for ongoing model improvement and new feature development.
- Outcome‑Based – We share a percentage of the measured business value (e.g., savings or revenue uplift).
Unlock the Power of AI for Your Business
Stop guessing, start predicting. Book a free AI readiness assessment – our data scientists will spend 2 hours with your team to:
- Identify high‑value use cases
- Assess your data quality and quantity
- Provide a realistic roadmap and cost estimate
- Showcase a similar project's results
Schedule my AI assessment – no obligation, just expert guidance.