Selected case studies — a real problem, what we built, and the outcome that followed. Production AI and data systems, across industries. Client names are withheld for confidentiality.
A few of the strongest examples from our AI implementation portfolio — selected because the workflow, metric, and operating impact are easy to understand.
Company research across public and private sources, reducing prospect research from 3-4 hours to minutes with 45+ data points and higher accuracy.
Read the case study →A tool-using operations assistant for fleet, payroll, schedules and scorecards — built to answer 100+ daily questions without dispatcher bottlenecks.
Read the case study →GPT-4o counselling, document processing, and video-interview scoring cut response, vetting and interview delays across the admissions funnel.
Read the case study →GPT-powered file search, summaries and metadata tagging for marketing assets — search cut by 98.9% and manual sorting reduced by 90%.
Read the case study →Vector search and AI content chunking turned a poor keyword search experience into contextual discovery with 90%+ match accuracy.
Read the case study →Scheduling, AI calls, resume parsing, interview questions and post-call evaluation for high-volume hiring workflows.
Read the case study →AI Review by Exception for batch-record QA — 21 CFR Part 11 compliant, ~70% less manual review time across production sites.
Read the case study →A GMP-compliant AI platform with 50+ validation agents automating batch-record review — 60–80% less review time across 300+ products.
Read the case study →Jupiter AI ingests entire hospitalization records, classifies every page, and synthesizes a clinician-ready structured discharge summary.
Read the case study →Deep learning on Whole Slide Images detects prostate cancer recurrence and predicts timeframes from a single modality.
Read the case study →A computer-vision platform analyzing embryo images for consistent viability grading — standardizing IVF decision-making across clinics.
Read the case study →A 3-phase Azure data platform unifying fragmented practice-management systems with governed Power BI and row-level security.
Read the case study →A GCP-to-Azure migration and FP&A dashboard suite unifying care, billing and insurance data with EBITDA, LTM and CFS bridge analysis.
Read the case study →A unified FP&A platform replacing manual Excel budgeting with value-driver scenario planning and AI-powered rolling forecasts.
Read the case study →A SQL Server medallion architecture and Power BI semantic model delivering real-time revenue, TAT and inventory insights across labs.
Read the case study →A grounded RAG pipeline with OCR answering questions over 2,000+ page scanned bond documents — zero hallucination, PDF-level traceability.
Read the case study →An agentic AI pipeline auto-generating credit pressure reports — section-based extraction and template filling, 100% format consistency, 3× faster.
Read the case study →Churn prediction and upselling for a national telecom operator using XGBoost + Random Forest, behavioral segmentation and ARPU optimization.
Read the case study →Multi-BU workplace technology spend analytics — ingestion, anomaly detection, benchmarking dashboards and a scalable expansion roadmap.
Read the case study →LLM + ML audit sampling and anomaly detection — intelligent sampling, natural-language analysis and automated reconciliation.
Read the case study →Distribution network optimization — geospatial routing, cost-minimization modeling and scenario simulation across three redesigned tiers.
Read the case study →A real-time digital twin simulating capacity, inventory and permits — planning cut from 3–4 days to 3 hours, sales loss roughly halved.
Read the case study →Weekly depot-level demand forecasting — ML on sales and inventory data with seasonality-aware logic and monthly refresh.
Read the case study →An Order Time Estimation ML platform — regression across four order stages, multi-variable feature engineering, real-time prediction in production.
Read the case study →Supply plan and dispatch automation — Proficy-based automation, an integrated workbook across production and permits, unified planning.
Read the case study →Data-driven Permanent Journey Plans for an FMCG sales force — geolocation analytics, adherence dashboards and field chatbots.
Read the case study →Fragmented highway data unified into a GIS monitoring platform — automated SLA compliance, contractor analytics and role-based decision intelligence.
Read the case study →Document AI for contractor claims on large infrastructure projects — automated summarization, claim-vs-contract comparison and dispute resolution.
Read the case study →An enterprise IoT + AI platform scoring 25,000+ drivers across 10,000+ vans — unified performance visibility for a large delivery partner.
Read the case study →A real-time fleet operations app for 10,000+ vans — structured inspections, multi-channel driver comms, automated assignment and scheduling.
Read the case study →LMD, a WhatsApp AI assistant for drivers and dispatchers — conversational shift management, performance tracking and safety protocols.
Read the case study →A data mesh and self-serve analytics platform for a large hospitality chain — multi-property ingestion, unified revenue and pricing dashboards.
Read the case study →MenuOCR digitizes physical menus into structured, import-ready data via a 3-stage pipeline — 200+ fields auto-filled, zero manual entry.
Read the case study →Salesforce CPQ for complex B2B product configuration with advanced pricing and bundles, NetSuite integration and faster quote-to-order.
Read the case study →Unified Salesforce and NetSuite data into a single Customer 360 view with bidirectional sync and a Visualforce dashboard.
Read the case study →Optimized a quote-to-cash cycle with a billing audit, process automation and FP&A integration for real-time financial oversight.
Read the case study →Contract lifecycle management on Salesforce Financial Services Cloud — automated approvals and renewals, data security and compliance.
Read the case study →SoftsensorX detects and categorizes damage in video and image content with per-detection confidence scores — QC and maintenance at scale.
Read the case study →SoftsensorX Auto AI delivers fast, consistent vehicle damage detection from images and video — fewer disputes, real-time condition reports.
Read the case study →SoftsensorX CFO Copilot automates variance analysis, audit anomaly detection, reconciliation and scenario reporting — FP&A in one platform.
Read the case study →SoftsensorX scores and filters resumes against job-specific criteria — faster screening, objective evaluation, ATS integration.
Read the case study →A conversational assistant answering questions grounded in a global foundation's vast library of talks and teachings — RAG-Fusion retrieval, streaming chat, source-linked answers.
Read the case study →Talk to the engineers who build and ship — across lakehouse, AI and governed delivery.