Independent technical prototypes spanning retrieval systems, tool-assisted workflows, data operations, custom models, and predictive analytics.
Project portfolio
These independent projects demonstrate implementation approaches and capabilities across retrieval systems, conversational AI, voice agents, computer vision, data operations, and predictive analytics. Each project is built using production-grade tools and techniques.
Our work spans multiple AI disciplines: retrieval-augmented generation (RAG) for document intelligence, custom chatbots for customer engagement, legal AI for domain-specific knowledge, voice agents for telephony, agentic workflows for tool-assisted planning, and machine learning models for classification, segmentation, and anomaly detection.
A multi-document PDF assistant with persistent vector retrieval, session-isolated collections, conversational memory, page-level citations, and a deterministic evaluation endpoint.
Branded, domain-aware chat experiences combining AI agent development with your knowledge, workflows, users, and support requirements.
A grounded legal-information prototype for Pakistani law with query classification, page-level citations, evidence-based synthesis, and abstention for unsupported requests.
Natural inbound and outbound voice agents using language AI for qualification, scheduling, customer service, and follow-up calls.
An independent planning prototype demonstrating parallel travel research, live weather and currency integrations, structured itinerary generation, deterministic budget checks, and cited sources.
Connected business automation workflows that reduce repetitive work across sales, operations, support, reporting, and internal processes.
Model-assisted data annotation workflows that pre-annotate, validate, prioritize uncertainty, and continuously improve dataset quality.
Purpose-built AI model training and fine-tuning using domain data, evaluation pipelines, and production performance targets.
Frame-accurate video labeling and computer vision models that identify actions, events, movement, and behavior over time.
Intelligent segmentation pipelines supported by data analytics services that organize complex records into meaningful groups for targeting and decisions.
Predictive customer analytics that identifies churn risk, lifetime value, high-impact segments, and retention opportunities.
Custom machine learning solutions that surface suspicious behavior, abnormal transactions, and emerging patterns for faster investigation.