SOLUTIONS
Cost-Effective, Bespoke AI Solutions Across Industries
We specialise in implementing custom AI solutions to increase operational efficiencies and cut costs.
Sector-Agnostic,
Results Focused
From banking and retail to manufacturing and agriculture, Hessian Labs creates custom AI solutions that solve critical business challenges.
By blending cutting-edge AI research with end-to-end development, Hessian Labs implements AI solutions that slash costs, boost productivity, and future-proof your competitive edge.
Finance & Banking
Customer Service:
Chatbots powered by Natural Language Processing (NLP) for resolving customer inquiries.
Regulatory Compliance:
NLP for parsing legal documents and detecting non-compliance.
Healthcare
Medical Imaging Analysis:
AI for automated detection of abnormalities in X-rays, MRIs, etc.
Optimisation in Resource Allocation:
LP for scheduling doctors, beds, and equipment in hospitals.
Virtual Health Assistants: Chatbots and recommendation systems for symptom checking and follow-ups.
Retail & E-Commerce
Recommendation Systems: Collaborative filtering and deep learning for product recommendations.
Demand Forecasting:
Time series forecasting to optimise inventory management.
Price Optimisation:
LP and dynamic pricing models based on customer demand and market trends.
Personalised Marketing:
AI for segmentation and targeted campaigns.
Supply Chain Optimisation:
AI-driven logistics planning and delivery route optimisation.
Customer Sentiment Analysis: NLP for analysing customer reviews and feedback.
Manufacturing
Predictive Maintenance:
AI models to predict equipment failures and optimise downtime.
Quality Control:
Computer vision for detecting defects in manufacturing lines.
Production Scheduling:
Linear Programming (LP) and heuristic algorithms for scheduling jobs in factories.
Inventory Optimisation:
AI to maintain optimal stock levels using demand forecasting.
Transportation & Logistics
Route Optimization:
LP, genetic algorithms, and reinforcement learning for delivery route planning
Traffic Management:
AI for optimising urban traffic flow using real-time data (impossible to sell tried already)
Dynamic Pricing:
AI models for pricing transportation services based on demand.
Logistics Network Optimisation: LP for warehouse location, distribution, and shipping optimisation
Agriculture
Crop Yield Prediction:
ML models for estimating crop output based on environmental conditions.
Precision Farming:
AI for optimising irrigation, fertilisation, and pest control.
Supply Chain Optimisation: Algorithms for reducing food waste during distribution.
Drone-Based Monitoring:
AI for analysing aerial imagery to detect crop health.
Weather Forecasting:
AI to provide actionable insights for farming decisions:
Real Estate
Property Valuation:
AI for predicting property prices using historical data.
Market Analysis:
NLP for analysing real estate trends from news and reports.
Tenant Risk Assessment:
ML models for evaluating tenant creditworthiness.
Property Management:
Chatbots for handling tenant inquiries and maintenance requests.
Legal
Document Review:
NLP for extracting key information from contracts and legal documents.
Case Outcome Prediction:
AI to estimate the likelihood of success in legal cases.
Contract Optimisation:
Algorithms for drafting and negotiating contracts.
E-Discovery: AI tools for analysing massive datasets during litigation.
Legal Chatbots:
NLP-based virtual assistants for basic legal queries.
Government & Public Sector
Fraud Detection:
AI for identifying misuse of public funds or benefits.
Resource Allocation:
LP for optimising public services like healthcare and education.
Urban Planning:
AI to simulate the impact of new infrastructure projects.
Disaster Management:
AI for predicting natural disasters and optimising response efforts.
Social Services:
Predictive models for identifying citizens in need of assistance.
Smart Cities:
AI for managing energy, traffic, and public safety in urban areas.
Reinforcement Learning
Generative AI
Computer Vision
