End-to-End Product Building
Our team excels at creating AI-powered products that encompass every stage of the lifecycle:
- UI Development: Build user-friendly, intuitive interfaces for seamless interaction with AI solutions.
- Labeling Services: Provide high-quality data annotation and labeling to ensure accurate and reliable model training.
- Model Training Services: Leverage cutting-edge tools and frameworks to train models effectively, delivering robust AI solutions tailored to your business use case.
Our Gen AI Services
Customized Model Development
- Design and train tailored AI models to address your specific business needs, ensuring maximum accuracy and relevance.
- Expertise in foundational models such as GPT, BERT, and building domain-specific adaptations for high performance.
Conversational AI
- Develop intelligent chatbots and virtual assistants for seamless customer interaction and enhanced user engagement.
- Incorporate adaptive learning to refine responses over time, ensuring consistent improvements in interaction quality.
Building Small Language Models
- Create efficient, domain-specific small language models optimized for speed, cost, and accuracy.
- Ideal for organizations requiring lightweight yet powerful solutions tailored to their operations.
Retrieval-Augmented Generation (RAG) and Vector Database Applications
- Build advanced RAG applications combining Gen AI models with vector databases for precise, context-aware answers to queries.
- Integrate systems for document retrieval, search optimization, and knowledge management, enabling dynamic, real-time insights.
Content Summarization
- Automate summarization of complex documents, articles, or reports using state-of-the-art NLP techniques.
- Leverage SENTRA’s capabilities to achieve near-perfect accuracy, even with handwritten or structured documents.
Building Intelligent Agents
- Develop autonomous AI agents capable of executing tasks, making decisions, and providing insights with minimal human intervention.
- Use agents for tasks such as automated workflows, operational monitoring, and data-driven decision-making.
Business Intelligence & Visualization
Create intuitive dashboards and real-time reports to monitor KPIs and enhance strategic decision-making.
MLOps & AI Engineering
Operationalize AI solutions with automated deployment pipelines, monitoring, and retraining mechanisms to maintain peak performance.
Our Expertise
Revolutionizing Industries with Cutting-Edge Products
- SPECTRA: An advanced platform for analyzing video footage with real-time alerts, severity-based CCTV mapping, and AI-powered Q&A experiences.
- SENTRA: A generative AI-powered end-to-end digitization platform delivering 99% accuracy across document types, redefining document management.
- Cyber Pod: A next-generation cybersecurity solution by Forar Tech, Cyber Pod leverages advanced Gen AI SML for threat intelligence to detect, prevent, and mitigate cyber threats in real-time, ensuring robust protection for enterprises across industries.
Team Excellence
- A team of 50+ certified engineers in AI and cloud services, with hands-on experience building scalable, efficient, and innovative products.
- Proven expertise in delivering AI solutions from ideation to deployment, ensuring complete alignment with business goals.
Case Study: Transforming Customer Experience for a Leading Retail Bank with Data and Generative AI
Client Overview
A leading retail bank with millions of customers was struggling with poor customer satisfaction due to inconsistent service quality, delayed responses to queries, and a lack of personalized engagement. The client sought to leverage data analytics and Generative AI (Gen AI) to enhance customer experience and boost customer retention.
Challenges
- Fragmented Customer Data: Customer insights were siloed across multiple systems, leading to a lack of unified visibility.
- Delayed Query Resolution: High volume of customer queries led to long wait times and inconsistent service quality.
- Limited Personalization: Lack of tailored product recommendations or communications resulted in a generic customer experience.
Forar Tech Solution
Unified Customer Data Platform
- Implemented a data warehouse using Snowflake, integrating data from CRM, transaction systems, and customer support logs.
- Built a 360-degree customer view, enabling real-time access to consolidated customer profiles.
Conversational AI with Gen AI
- Developed a Generative AI-powered chatbot to handle customer queries in real-time:
- Trained the model on historical chat logs and FAQs.
- Enabled it to generate accurate and context-aware responses in multiple languages.
- Integrated the bot into the bank’s mobile app and website for omnichannel support.
Personalized Recommendations
- Leveraged machine learning models to analyze customer spending patterns and transaction histories.
- Used Gen AI to craft personalized product recommendations and offers tailored to individual customer needs.
AI-Driven Sentiment Analysis
- Implemented sentiment analysis using NLP to gauge customer emotions during interactions.
- Sentiments were used to prioritize escalation for dissatisfied customers, ensuring timely resolution by human agents.
Customer Interaction Insights
- Built a dashboard using Power BI to provide actionable insights on customer interactions, service performance, and engagement metrics.
Key Results
- 45% Faster Query Resolution: The Gen AI chatbot resolved 85% of queries instantly, significantly reducing wait times.
- 25% Increase in Customer Satisfaction: Personalized recommendations and improved service quality enhanced overall customer satisfaction scores.
- 20% Higher Conversion Rates: Tailored product offers increased uptake of financial products, such as credit cards and loans.
- Streamlined Support Operations: Human agents focused on complex queries, reducing operational costs by 20%.
- Real-Time Customer Insights: The unified data platform provided a single source of truth for customer insights, enabling data-driven decision-making.
Case Study: Enhancing Fraud Detection and Prevention for a Leading Retail Bank
Client Overview
A retail bank with a large customer base and extensive transaction volumes was experiencing significant losses due to fraudulent activities, including identity theft, payment fraud, and insider threats. The client sought an advanced Fraud Analytics solution to detect and prevent fraud in real-time without compromising the customer experience.
Challenges
- High False Positives: Existing fraud detection systems generated numerous false positives, frustrating genuine customers and increasing operational costs.
- Delayed Detection: Fraudulent transactions were often identified post-event, leading to financial losses and reputational risks.
- Siloed Data Sources: Transactional, behavioral, and third-party data were dispersed across multiple systems, hindering comprehensive analysis.
- Dynamic Fraud Patterns: Fraudsters were using sophisticated methods, requiring adaptive and intelligent detection systems.
Forar Tech Solution
Unified Data Platform
- Built a real-time data ingestion pipeline using Databricks to consolidate data from multiple sources, including transactional logs, customer profiles, and third-party risk scores.
- Deployed a scalable Snowflake-based data warehouse to provide a unified, real-time view of customer activities.
Advanced Fraud Detection Models
- Leveraged AI and machine learning to build adaptive fraud detection models:
- Behavioral Analysis: Identified unusual customer behaviors using clustering and anomaly detection techniques.
- Predictive Models: Developed models to predict the likelihood of fraud based on historical patterns, using gradient boosting and neural networks.
- Integrated the models with a rule-based engine to ensure compliance with regulatory standards and business logic.
Generative AI for Fraud Pattern Discovery
- Used Generative AI to identify emerging fraud patterns and simulate potential scenarios, enabling the bank to stay ahead of evolving threats.
- Developed a natural language interface for fraud analysts to query data and generate insights quickly.
Real-Time Alerts and Workflow Automation
- Implemented a real-time alerting system integrated with the bank’s CRM and case management tools to prioritize and route suspicious activities to fraud investigation teams.
- Automated workflows for low-risk alerts, reducing the workload on human agents.
Explainable AI (XAI)
- Ensured model transparency and interpretability with explainable AI techniques, enabling fraud analysts to understand the reasoning behind flagged transactions and maintain regulatory compliance.
Key Results
- 30% Reduction in Fraud Losses: The advanced fraud detection system identified and stopped fraudulent activities in real-time, minimizing financial losses.
- 40% Decrease in False Positives: Improved model accuracy reduced false positives, leading to a better customer experience and lower operational costs.
- Real-Time Fraud Detection: Transactions were analyzed and flagged within milliseconds, enabling immediate action on suspicious activities.
- Proactive Fraud Prevention: Generative AI identified new fraud patterns before they became widespread, enabling proactive countermeasures.
- Enhanced Analyst Productivity: Fraud analysts processed cases 30% faster, thanks to automated workflows and explainable AI.
