Proven AI impactOur client stories

Challenge

Modern teams struggle with scattered knowledge across multiple platforms, time-consuming manual tasks, and inefficient communication. Organizations need an intelligent assistant that can centralize information, automate workflows, and scale with their growth while maintaining enterprise-grade security.

Solution

We developed Hana from the ground up as our flagship AI product. Built on MERN stack with advanced RAG pipelines for knowledge retrieval from Google Docs, Jira, Confluence, and Notion. Integrated LLM customizations using OpenAI GPT for contextual conversations. Implemented multi-tenant architecture on GCP Kubernetes for scalability. Added 300+ app integrations via Zapier, multilingual support, and image/PDF Q&A capabilities. Achieved CASA Tier-2 certification for security.

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Challenge

Mainstream dating products often reward endless browsing, parallel matching, open chat lists, and low-commitment attention. We wanted Claspa to solve the interaction-model problem directly, not by adding another swipe surface or a thin feature layer.

Solution

We built Claspa as our own app initiative around one active Lock at a time. The flow moves from discovery to intent signal, active Lock, paused discovery, deliberate Unlock Signal, and focused chat. The app keeps compatibility context visible through profile depth, filters, match insights, chemistry surfaces, and relationship milestones, while embedding age gate, legal consent, report, block, moderation, and purchase disclosure into core paths.

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Challenge

A US-based healthcare provider faced significant challenges managing large, unstructured datasets (90K+ row Google Sheets) without efficient ingestion, ensuring HIPAA-compliant PHI handling in AI tools, dealing with auto-resync failures leading to outdated memories, and balancing data security with productivity needs.

Solution

We customized Hana AI for this confidential healthcare client with a BAA-compliant framework for PHI processing using encrypted storage in MongoDB Atlas and runtime-only data handling. Implemented optimized ingestion through RAG pipelines for large Google Sheets, batching rows (30-50 per chunk) to avoid embedding limits and enable cost-efficient resync. Enhanced LLM capabilities with customized models for contextual Q&A on healthcare data, with auto-resync at daily intervals to keep memories current. Resolved technical issues including duplicate IDs, progress tracking errors, and large-sheet failures through code-level optimizations. Enforced strict security measures with no data mining, strict access controls, and compliance with HITECH standards.

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Challenge

SmartCite was designed to automate the extraction and management of citations from legal documents. The original system faced issues like inaccurate retrieval from vast, unstructured legal texts, limited context understanding leading to irrelevant citations, scalability problems with high-volume document processing, and compliance needs for data security in sensitive legal environments.

Solution

Drawing from our 14+ months of RAG experience, we implemented a multi-stage RAG revamp with enhanced retrieval using advanced embedding models via Jina API for semantic search, augmentation and fine-tuning with customized LLMs for legal contexts, generation and verification with model API integrations, full-stack integration built on MERN stack with NestJS for APIs and React for UI, and comprehensive security measures including input validation and rate limiting.

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Challenge

Teams handling high-volume labels were blocked by fragmented tooling, repeated manual rework, and unreliable preview-to-print consistency. They needed a focused desktop product for repeat label workflows with predictable output.

Solution

We designed and built Label Genie as a lightweight desktop application with a clean label canvas, reusable templates, and print-accurate preview/export behavior. The product is optimized for repeated operational use, enabling teams to create, modify, and ship labels quickly without complex design software overhead.

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Challenge

A Netherlands-based kiosk rental company envisioned becoming the country's premier power bank rental network, requiring robust IoT infrastructure to manage 300+ kiosk stations with 6-48 slot configurations, seamless tap-to-pay integration, real-time fleet management, and automated rental/return workflows with minimal human intervention.

Solution

Hanabi Technologies engineered the complete kiosk software and cloud server infrastructure. Developed MQTT-based IoT protocols for real-time hardware-software communication, implemented PCI-DSS compliant contactless payment system with Stripe Terminal Android SDK and NFC integration, built centralized fleet management dashboard using React and NestJS with real-time updates, created intelligent kiosk applications using React Native for Android, and optimized energy consumption for minimal operational costs.

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Challenge

A growing logistics company struggled with processing vast amounts of unstructured data from shipping documents, emails, and tracking systems, leading to inefficiencies and delays.

Solution

We implemented custom RAG pipelines to extract and index critical information from unstructured data sources. Integrated LLMs for intelligent query processing and decision support. Built the entire system on MERN stack for scalability and real-time updates.

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Challenge

A healthcare provider needed a HIPAA-compliant solution to handle patient inquiries 24/7 while maintaining data privacy and providing accurate medical information.

Solution

Developed a custom chatbot using fine-tuned LLMs integrated with secure model APIs. Implemented RAG to access medical knowledge bases while ensuring patient data privacy. Designed with HIPAA compliance at the core, including end-to-end encryption and audit trails.

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