ngweb.io
WorkServicesProcessPrinciplesFAQContact
Start a project
Back to home
All case studies

8 projects.
Every metric verified.

Client names are under NDA — industries, metrics, and outcomes are real. We share full details on request.

DeFi · Full-stackNDA

DEX Exchange Platform — fully decentralized, production-ready

Challenge

A DeFi startup needed to go from zero to a live, high-throughput decentralized exchange — with real-time on-chain data, a slick trading UI, and an SEO-ranked landing that could compete with established protocols.

GoNode.jsReactNext.jsWebSocketsSanitySEO
What we built

We designed and shipped the entire stack: a Go-based chain indexer processing on-chain events at sub-second latency and feeding a WebSocket API; a React trading interface with live order books, swap flows, and wallet integrations; a Next.js landing + headless blog with full technical SEO — schema markup, server-rendering, and a content pipeline the team owns. Indexed from day one, trading from week five.

2M+
on-chain events/day indexed
<80ms
quote-to-UI latency
Top 5
Google — core DeFi queries, 60 days
AI · Document intelligenceNDA

Contract intelligence platform — 45-minute review down to 4

Challenge

A legal team was manually reviewing 300+ contracts a week. Each took 45 minutes, and renegotiation errors were costing five figures a quarter.

Built a multi-agent LangGraph pipeline: PDF/DOCX ingestion → Azure OpenAI extraction → clause risk-scoring against a proprietary clause library → structured output to a Next.js review dashboard with human-in-the-loop approval for high-risk items. RAG over jurisdiction-specific playbooks ensures flagging is context-aware, not just keyword-based.

45m → 4m
per contract review
94%
accuracy vs manual baseline
1 reviewer
handling 300 contracts/week
LangGraphAzure OpenAIRAGNext.jsPythonPostgres
AI · Support automationNDA

AI call-management & full support automation

Challenge

A 1 200-ticket/week support team had no priority routing, no context surfacing, and reps were writing the same 40 responses on rotation.

Shipped an end-to-end AI support layer: Twilio voice transcription feeds a GPT-4 classifier that scores priority and intent, then a LangGraph agent drafts responses from the knowledge base and routes to a human-approval queue in a custom Next.js dashboard. Complex escalations auto-route to senior engineers based on topic and SLA tier. The team didn't hire — they handled three times the volume.

−62%
first-response time
3×
tickets per rep, same headcount
91%
CSAT post-launch
LangGraphTwilioGPT-4Next.jsPostgresNode.js
E-commerce · ConversionNDA

Headless storefront rebuild — checkout that actually converts

Challenge

A fashion brand's Liquid theme loaded in 4.8 s and lost 68% of users at the payment step. AOV was stagnant; there was no upsell logic at all.

Migrated to Shopify Hydrogen with a one-page checkout, post-purchase upsell sequences, and Stripe subscription support. Built a lightweight recommendation engine using purchase history. The design system we handed over is now extended by the in-house team without a single support request.

+34%
checkout conversion
+19%
average order value
1.2s
LCP (was 4.8s)
Shopify HydrogenStripeReactVercel
Blockchain · GameNDA

On-chain crypto game — provably fair randomness on Ethereum

Challenge

A game studio wanted a fully on-chain strategy game where randomness had to be verifiably fair — no server could cheat — with gas costs low enough to keep micro-transactions viable.

Designed and shipped a Solidity game contract integrating Chainlink VRF as the randomness oracle, ensuring every in-game event is cryptographically verifiable on-chain. Built a React + ethers.js frontend with real-time game state sync from contract events, a custom indexer for leaderboards, and a gas optimisation pass that cut average tx cost by 58%. The on-chain mechanics — item drops, player stats, match outcomes — are all deterministic and publicly auditable.

100%
on-chain randomness via Chainlink VRF
−58%
gas cost after optimisation
<2s
game state sync latency
SolidityChainlink VRFEthereumReactethers.jsNode.js
AI · Sales intelligenceNDA

RAG product search — sales reps find exact matches in a 500K-SKU catalogue

Challenge

Sales reps were spending 20+ minutes per quote manually searching an Excel catalogue of 500 000+ SKUs. Wrong matches, outdated specs, and slow turnaround were costing deals.

Built a RAG pipeline over the full product catalogue: chunked spec sheets ingested into a vector store, a hybrid search layer (dense + sparse) returning the top-k semantically similar products, and a GPT-4-powered re-ranker that explains why each match fits the buyer's requirements. Integrated into the existing CRM so reps search in natural language and get ranked results with a one-click 'add to quote' action. The catalogue is synced nightly from the ERP with zero manual maintenance.

20m → 45s
average quote lookup time
500K+
SKUs indexed, live in production
+23%
quote-to-close rate, 60-day cohort
RAGOpenAIpgvectorPythonLangChainNext.js
Infrastructure · Full-stackNDA

VPN service — full cycle, FE + Backend, shipped under the key

Challenge

A founder needed a production-grade VPN product built from scratch: custom protocol backend, subscription billing, multi-platform clients, and a marketing site — all delivered as a working business, not just code.

Delivered end-to-end: a Go-based VPN backend running WireGuard with per-user key provisioning, connection state management, and an admin API; a Node.js billing service integrated with Stripe subscriptions, trial logic, and webhook-driven provisioning; a React web app and a companion landing page with conversion-optimised pricing. Everything handed over under the key — infra provisioned on Hetzner with Terraform, CI/CD pipelines, runbooks, and a full onboarding doc so the founder runs it independently.

Full cycle
backend, frontend, infra, billing
<30ms
avg connection handshake
Shipped
under the key — fully documented
GoWireGuardNode.jsReactNext.jsStripeTerraformHetzner
E-commerce · PlatformNDA

Multi-vendor marketplace — from WooCommerce to +41% GMV

Challenge

Vendor onboarding took three manual days, commission splits were calculated in a spreadsheet, and the search drove almost zero discovery.

Re-platformed onto Next.js + Postgres with automated vendor onboarding (self-serve, 20-minute flow), a real-time commission engine, Algolia-powered product search, and Stripe Connect for automatic split payments. Built a lightweight analytics dashboard vendors actually use to optimise their listings.

+41%
gross merchandise volume
20 min
vendor onboarding (was 3 days)
+28%
search-to-purchase conversion
Next.jsPostgresAlgoliaStripe ConnectTypeScript