Sankar Kumar
Palaniappan

Problem Statement

Product teams spend weeks running analyses that should take days. A business question gets asked Monday. The analyst spends Tuesday-Wednesday exploring data, Thursday writing SQL and building charts, Friday documenting findings, and Monday morning delivering a presentation. By then, the business context has shifted, the question has evolved, and the insight arrives too late to act on.

Solution

AI Analyst v2 is an AI-powered research partner that handles the execution layer while you keep the judgment layer. You ask a business question. The system runs an 18-agent pipeline that frames your question into testable hypotheses, analyzes your data with automated exploration, segmentation, cohort analysis, and root-cause investigation, validates findings across four layers (structural, logical, business rules, paradox detection), tells the story with a narrative arc and Storytelling with Data charts, and builds the deck — a branded, presentation-ready slide deck with speaker notes and export-ready assets.

Business Value

Documents

Problem Statement

Researchers face overwhelming information overload, with critical knowledge scattered across papers, clinical trials, conferences, and competitor data that is slow and hard to synthesize. The challenge was to let researchers quickly query all these sources in one place and get sourced, real-time answers in accessible formats.

Solution

Built ScienceAI, a Gen AI platform that lets researchers chat with scientific literature — papers, clinical trials, conferences, and competitor data — in one place. A Langflow RAG pipeline with a Chroma vector database and GPT-5-mini streaming (on Next.js 16) delivers sourced, real-time answers, while ElevenLabs TTS converts insights into on-demand audio summaries and dual-voice podcasts for faster, more accessible research consumption.

Business Value

Demo Video

Documents

Problem Statement

Businesses receive high volumes of customer reviews that are slow and costly to read, prioritize, and respond to manually. The challenge was to automate review classification, prioritization, and response so teams could manage feedback at scale while improving customer satisfaction.

Solution

Built an LLM-powered solution that automates the classification and processing of customer reviews — predicting categories, assigning priority, suggesting actions, and generating sentiment-based responses. The solution streamlines review management, enhancing customer satisfaction and operational efficiency in handling feedback and inquiries.

Business Value

Documents

Problem Statement

Businesses face growing security and productivity risks from spam SMS messages that can carry phishing and cyber-attack attempts. The challenge was to automatically classify incoming SMS texts as 'spam' or 'ham' to protect users and prevent attacks at scale.

Solution

Built a text-classification model that analyzes SMS messages labeled 'spam' and 'ham' to extract meaningful signals and predict whether a new message is spam. The solution automates spam detection, helping prevent phishing and cyber attacks before messages reach users.

Business Value

Documents

Problem Statement

Hotels and booking platforms lose significant revenue to last-minute cancellations with little ability to anticipate them in advance. The challenge was to identify the key drivers of cancellations and predict at-risk bookings early enough to shape profitable cancellation and refund policies.

Solution

Built a predictive model that identifies the factors most influencing booking cancellations and flags which bookings are likely to be cancelled in advance. The solution enables data-driven cancellation and refund policies, helping reduce revenue loss and improve operational planning.

Business Value

Documents

Problem Statement

In a competitive landscape, companies struggle to continuously gather, analyze, and act on customer feedback fast enough to drive innovation and growth. The challenge was to streamline feedback analysis so teams could surface actionable insights quickly and at scale.

Solution

Built an AI-powered customer feedback analysis solution that automatically ingests, categorizes, and analyzes feedback to surface themes, sentiment, and priority issues. The platform turns unstructured feedback into clear, actionable insights, enabling teams to continuously gather, analyze, and act on customer signals.

Business Value

Documents