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From data analytics to autonomous AI agents β we build intelligent systems that transform how your business operates, decides, and grows.
AI Service Disciplines
AI Projects & Tools Demonstrated
Grade Solutions
Enterprise-grade artificial intelligence solutions β from data insights to autonomous systems.
Transforming raw industrial and business data into actionable intelligence. From exploratory analysis to predictive modeling, we uncover patterns that drive operational efficiency.
Custom ML model development β from concept to production. We build, train, and validate models tailored to your domain, ensuring measurable accuracy and real-world reliability.
Designing AI agents that reason, plan, and execute multi-step tasks autonomously. From intelligent document processing to workflow automation, our agentic systems operate with human-like judgment.
Purpose-built conversational AI for enterprise use cases β not generic chatbots, but domain-specific assistants trained on your data, your policies, and your workflows.
Real AI tools we've designed, developed, and demonstrated in real-world settings β working products, not just concepts.
An intelligent assistant trained on company HR policies, enabling employees to get instant, accurate answers about leave, benefits, compliance, and procedures β developed and tested with real policy documents.
A specialized AI assistant for pharmaceutical professionals β trained on Application Dossier frameworks for Drug Registration. Demonstrated in a professional training session to assist with document preparation and regulatory queries.
An AI-powered visual content creation tool β generating professional-grade images for marketing, social media, and publications from simple text prompts. Built and actively used for Allied Consultant's own content production.
An AI model capable of automatically detecting, classifying, and drawing bounding boxes around vehicles in real-time to aid in autonomous driving and intelligent transport systems.
Tech: CNNs, OpenCV, Transfer Learning
A forecasting model to predict product demand and sales volume across various restaurants, enabling optimized inventory and staffing decisions.
Tech: Random Forest, XGBoost, Time-Series
An AI system to monitor the structural integrity of historical monuments from images, paired with a smart recommendation engine for personalized tourist destinations.
Tech: TensorFlow, Image Classification (CNN)
An intelligent system that acts like a human support agentβreading emails, classifying them by urgency, searching technical documents, and drafting responses.
Tech: LangGraph, Multi-Agent, ReAct pattern
A 'smart search' tool allowing users to ask questions in plain English and instantly get answers based on complex internal HR policies and dense PDF documents.
Tech: Langchain, ChromaDB, OpenAI/Gemini
Evaluated complex financial datasets to predict risk, assess loan viability, and prevent defaults through advanced predictive modeling.
Tech: Neural Networks, Predictive Modeling
Analyzed marketing campaigns and sales data to uncover purchasing trends, allowing stakeholders to derive actionable business insights and improve ROI.
Tech: Pandas, Statistical Modeling, EDA
Created cloud-based applications capable of understanding written text sentiment and converting spoken words into actionable digital data.
Tech: Azure Cognitive Services, NLP
Analyzed machining sensor data β motor current, vibration, and acoustic emission β from a CNC milling process to predict tool wear before it causes failure or scrap. The system signals when a tool is approaching its wear limit, enabling timely replacement rather than reactive breakdowns.
Wear predicted to within ~0.08 mm on average β well ahead of the 0.4–0.6 mm failure threshold. Tools cutting harder materials are flagged 50% sooner, protecting part quality and reducing unplanned downtime.
Tech: Multi-Sensor Signal Analytics · Predictive Regression · Condition Monitoring
Built a quality prediction system for a wine production facility β using 11 standard laboratory measurements already collected during intake, to estimate the sensory quality score of each lot. Routine batches are scored automatically, without a tasting panel.
19 out of 20 lots scored within one quality point of what a tasting panel would say. Only the ~6% of borderline lots go to human review β cutting panel workload by over 90%.
Tech: Data-Driven Quality Modelling · Predictive Classification · Production Quality Intelligence
Rigorous model training, validation, and testing β every ML project backed by measurable performance metrics.
Intelligent solutions tailored to the sectors we know best.
Predictive maintenance, quality control, demand forecasting, supply chain optimization, and production process intelligence for factories and plants.
Intelligent document processing, citizen service chatbots, data-driven policy analysis, and automated compliance monitoring for public sector efficiency.
Customer analytics, HR automation, workflow optimization, knowledge management, and AI-powered assistants for consulting, healthcare, and professional services.
Affordable AI solutions for small and medium enterprises β from sales forecasting and inventory optimization to customer chatbots that scale your team without scaling your headcount.
Perspectives on artificial intelligence, automation, and the future of intelligent engineering.
Insights on AI, Machine Learning, and Intelligent Automation. Follow us on LinkedIn for early access.
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