Selected Works

Case
Studies

Real-world AI + Data solutions. From concept to production — we transform complex challenges into intelligent systems.

01

Reputation Manager

ClientService Industry

01_The Challenge

The client needed to process thousands of user reviews across multiple online platforms daily. Manual review analysis was slow, inconsistent, and failed to identify actionable patterns for product improvement.

02_Key Outcomes

  • 70% reduction in review processing time
  • 35% increase in customer satisfaction
  • Real-time sentiment analysis across platforms
TypeScriptNext.jsPythonOpenAISupabasePostgreSQL

Technical_Architecture_V.04

We developed an intelligent system that aggregates user reviews in real-time, analyzes sentiment and key themes using advanced NLP models, automatically classifies feedback by priority, generates contextual responses using retrieval-augmented generation (RAG), and provides analytical dashboards for continuous product improvement.
02

AI Research & Document Platform

ClientRegulatory Advisory Group

01_The Challenge

Legal and compliance professionals spent excessive time on manual document analysis and research, often missing critical details in complex documentation and struggling to track regulatory updates.

02_Key Outcomes

  • 60% faster research processes
  • 45% improvement in compliance analysis accuracy
  • Integrated real-time regulatory updates
TypeScriptNext.jsLangChainPineconeClaude APIPostgreSQL

Technical_Architecture_V.04

We built an AI-powered research and document intelligence platform featuring semantic search optimized for domain-specific language, automatic extraction of key definitions and entities, document structure visualization, contextual annotation tools, and cross-jurisdiction comparison capabilities.
03

AI Competitive Intelligence System

ClientAnalytics Platform

01_The Challenge

Organizations lacked consolidated visibility into competitor activities and market signals. Data was fragmented across 90+ sources without a unified analytical layer.

02_Key Outcomes

  • 65% faster response to market changes
  • 50% stronger competitive positioning
  • Predictive analytics for trend forecasting
TypeScriptNext.jsPythonTipTapSupabaseRedis

Technical_Architecture_V.04

We delivered an AI-powered intelligence platform with multi-source data aggregation, machine learning–driven processing, real-time monitoring and alerting, structured market analysis frameworks, custom reporting, and integration with existing analytics ecosystems.
04

Sync Hub

ClientDistribution Technology

01_The Challenge

Organizations operating across multiple external distribution channels faced synchronization challenges — manual updates resulted in data inconsistencies, availability conflicts, and operational inefficiencies. Disconnected identifier systems between internal management platforms and external channels created additional complexity.

02_Key Outcomes

  • Real-time bidirectional synchronization
  • 90–95% reduction in database load via caching
  • Elimination of duplicate transactions through idempotent processing
GoEncore.devPostgreSQLRedisKafkaREST APIs

Technical_Architecture_V.04

We built an event-driven integration hub connecting internal management systems with multiple external distribution channels. The modular architecture (Go, Encore.dev) supports bidirectional synchronization via webhooks and message queues (Kafka), includes multi-layer Redis caching (90–95% database load reduction), resilient API communication with circuit breakers, and idempotent event processing using SHA-256 deduplication.
05

Fraud Shield

ClientFinancial Institution

01_The Challenge

Financial organizations faced increasing fraud risks due to manual document verification processes — slow processing, human error, and inconsistent validation of financial documents led to financial losses and compliance exposure.

02_Key Outcomes

  • Sub-second document verification and extraction
  • 99.2% structured data recognition accuracy
  • Automated anomaly detection across transactions
TypeScriptTrigger.devSupabaseMistral AILlamaParseREST API

Technical_Architecture_V.04

We developed an automated document verification API with multi-provider OCR and intelligent fallback logic for anomaly detection. The pipeline validates image quality parameters, extracts structured financial data (amounts, identifiers, account details), applies pattern-based validation, and flags suspicious inconsistencies. Webhook notifications enable real-time fraud monitoring integration.

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