AI that solves real industry problems
From fraud detection in fintech to visual inspection in manufacturing, see how AI and ML deliver measurable outcomes across the industries we serve. Pick a category to find the work that matches your context.
Four lenses on industry AI work
These are the contexts our use cases fall into most often. Pick the closest match and the gallery below filters down quickly.
Fraud, underwriting, KYC, payment intelligence
Pattern-detection systems that handle high-volume, low-latency decisions with auditable rationale.
Clinical workflow, document AI, triage assistants
Workflow-aware copilots and ML systems that integrate with EHR, document stacks, and consent flows.
Search, recommendations, support copilots, pricing
Personalization and operations features built around real conversion and inventory constraints.
Routing, demand, vision, predictive maintenance
Models that fit warehouse / fleet realities — robust to messy sensor and dispatch data.

+45% engagement, 10s average response time, zero-touch deployment
SaaS, customer support, healthcare onboarding, EdTech
Real-Time Voice & Video AI Assistant
Text-only bots lack human connection and engagement
Built a live chatbot with face + voice — listens, responds, and speaks in real time using LLM + voice cloning
Tech GPT-4, Azure TTS, Gemini API, RVC, FastAPI, AWS

Cut document processing time by 75%, scaled to 20+ countries
Enterprises managing global documentation
Document Intelligence System (Multilingual OCR)
Manual parsing of scanned docs across 20+ languages
Created a multilingual OCR + AI pipeline to extract, validate, and structure data
Tech Python, OpenCV, Mistral, Docker

90% reduction in research time, 92% confidence in responses
LegalTech, FinTech, CPA firms
Legal AI Tax Assistant (LLM + RAG)
Slow, error-prone legal/tax research across 60,000+ pages
Built a chatbot that gives citation-backed answers from PDFs using RAG + LLMs
Tech Pinecone, LangChain, LLMs, FastAPI, React.js

Launched 200+ campaigns with zero-code input, +38% lift in CTR
SaaS, D2C, non-technical marketers
GenAI Marketing Automation Platform
Marketing tools too complex for non-technical users
AI agents plan, launch, and optimize campaigns with multi-agent orchestration
Tech LangChain, LangGraph, FastAPI, AWS

Human-level voice output, real-time usage in apps
Enterprises managing global documentation
VoiceAI Cloning & Synthesis Engine
Need for realistic voice synthesis and cloning with emotion
Built full TTS, STS, and cloning pipelines with RVC and generative models
Tech PyTorch, TensorFlow, RVC, TTS Libraries

Cut review time by 75%, improved accuracy with learning loop
LegalTech, Proptech, Real Estate
Legal Document Automation (Land Docs)
Legal doc review was manual and prone to errors
Built an automated pipeline to extract serials, format templates, and learn from feedback
Tech Google Drive API, FastAPI, PDF Parsers, LLM OCR

1000s of tracks created, user retention doubled
Content creators, musicians, brands
AI Music Generation Platform
High cost and skill barrier to custom music creation
Built a prompt-based AI tool to generate full-length, stylized music
Tech PyTorch, Generative AI, Audio Synthesis Libraries

Increased trade success rate and time-to-market for new strategies
Retail traders, trading SaaS
Trading Bot with MT5
Manual strategy execution and poor visibility
Built a multi-strategy bot with real-time monitoring and high-speed execution
Tech Python, MetaTrader 5, FastAPI, React.js

+63% match rate, +80% photo engagement
Dating apps, Gen Z tools, photo apps
AI Dating Photo Enhancer
Low-quality images = fewer matches
Built a smart enhancer + scoring system to auto-optimize dating photos
Tech Flask, React.js, Generative AI

5x faster answer resolution, 80%+ user satisfaction
Enterprises with heavy documentation (PDFs)
AI-Powered RAG App for Document Q&A
Users can't find answers across large PDFs
RAG + LLM-powered doc query engine with secure upload and smart retrieval
Tech Flask, LLMs, React.js, Docker
Have an AI idea, messy workflow, or product vision? Let's make it buildable.
Bring the problem. We'll help shape the product, define the architecture, and show the fastest path to a serious first version.
A practical first roadmap in the discovery call
Architecture, timeline, and delivery options in plain English
Security, scalability, and reliability discussed upfront
Model registry
softus-rag-v4.2
187ms
Latency
128k
Context
$0.004
Cost / req
Evaluation suite
Deploy pipeline
prod / canary 25% — healthy
