Real AI. Real Results.
Every project started with a business problem and a 30-minute conversation. Here's what we built — and what it delivered.
Retail • AI AutomationSolution type: Retail & E-commerce
Predictive Inventory AI
Multi-location retailers operating with a central warehouse commonly face a 20–25% stockout rate on fast-moving SKUs and significant overstock on seasonal items. Buying teams make decisions using week-old spreadsheet reports, causing lost revenue from stockouts and capital locked in unsold inventory.
↓ 70%
Stockout rate
↓ 60–70%
Overstock capital tied up
SaaS • Smart ChatbotSolution type: SaaS & B2B Platforms
NLP Support Bot
SaaS platforms with large customer bases typically face a situation where support teams handle thousands of tickets per day — 70–80% of which are the same 30–40 questions repeated over and over. Average first response time runs 4–8 hours, CSAT scores suffer, and hiring more agents is economically unsustainable.
↑ 80+ pts
Tickets handled by AI
↓ 99.9%
First response time
Manufacturing • Computer VisionSolution type: Manufacturing & Production
Vision QA System
Manufacturers running visual quality inspection with human inspectors face well-documented limitations: eye fatigue after 90–120 minutes causes missed defects, throughput is capped by human speed, coverage is sample-based not 100%, and defects that escape to customers trigger costly recalls and warranty claims.
↓ 90–95%
Defect escape rate
↓ 90%+
Inspection cost/shift
Fintech • Machine LearningSolution type: Fintech & Payments
Fraud Detection Engine
Digital payments platforms relying on rule-based fraud systems face a fundamental tradeoff: rules tuned to catch fraud also block 3–5% of legitimate transactions (costing customers and revenue), while sophisticated fraud patterns — especially coordinated fraud rings — remain completely invisible to static rules.
↓ 85%+
Fraud loss reduction
↓ 90%
False positive rate
Advertising • Location AIAdReach Media — Hyperlocal Advertising Platform
Geo-Targeted AI Advertising
AdReach helped 200+ local businesses run ads across cities. Their biggest problem: they spent the same budget advertising to people 80 km away as to people 2 km away. No system knew which audience segment in which neighbourhood was actually converting. 40% of every ad budget was invisible money — spent, but never tracked to a real customer walking through a door.
↓ 85%
Ad budget wasted on wrong zones
↓ 84%
Cost per store visit (CPV)
Could this be your business?
Every one of these projects started with a 30-minute conversation. Let's have one.
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