Case studies

Production deliveries

Analytics dashboard for marketplace matching
Marketplace · UK
Rescue

AI Influencer-Matching Marketplace

Matches in seconds vs ~7 hrs · delivered in 2 weeks

Influencer matching was manual and slow (~7 hrs/campaign), with low accuracy, wasted budget on trial-and-error, and trust undermined by fake followers.

Seconds

to match vs ~7 hours manually

Top-2

matches consistently accurate

2 wks

from kickoff to working engine

Marketplace / martechUnited Kingdom2 weeks
View delivery details

What we built

  • Campaign & influencer onboarding
  • Audience & content-context analysis across posts/videos
  • Relevance matching using historical intelligence
  • Combines multiple data layers for precise, real-time matches

AI tools & method

  • Vector-based relevance engine (pgvector / PostgreSQL)
  • Generative & contextual content analysis
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

pgvector / PostgreSQLGenerative analysisContext embeddingsReal-time matching
Finance professional reviewing invoices and documents
Finance Operations
Rescue

AI Invoice Processing

Touchless AP capture & validation · fewer errors

Finance teams re-keyed invoice data from PDFs, scans and emails — slow approval cycles, human error, and duplicate or incorrect payments.

Touchless

capture for standard invoices

Fewer

errors & duplicate payments

Faster

validation → approval → pay

Finance ops / APSMB & mid-marketTouchless AP
View delivery details

What we built

  • AI + OCR capture of key fields from any format
  • Automated validation & matching against business rules / POs
  • Exception detection with auto-routing to the right approver
  • Syncs validated data into ERP / accounting systems

AI tools & method

  • Document-processing pipeline: OCR + data-validation rule engine
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

OCRRule engineERP / accounting APIsAI workflow automation
Student learning with books and laptop
EdTech · Japan
Rescue

Personalized Learning Platform

Per-student curriculum at scale · GCP, multi-agent review

Generate personalized curriculum per student efficiently, visualize and export assessment results, and build a scalable, maintainable architecture for growth.

Per-student

curriculum delivered at scale

Exportable

assessment visualizations (PDF/CSV)

Scalable

clean-architecture rebuild

EdTechJapanBuild + re-architect
View delivery details

What we built

  • AI generates tailored learning materials from assessment data
  • Full GCP ecosystem for content creation, storage & delivery
  • Clean-architecture refactor for scale & maintainability
  • Multi-school analytics for sharper learning insight

AI tools & method

  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.
  • Claude Code & Cursor for codegen; Claude Code for test/bug-fix
  • Review by Claude Code, Devin, Codex & CodeRabbit

Tech stack

Claude CodeCursorGolang / NestJSVue / Remix / NextGCP (BigQuery…)OpenAI
Engineer monitoring automated factory equipment
Manufacturing · USA

Product visuals

Factory cart-tracking dashboard with stage pipeline and QC checkpoints
Cart-tracking dashboard — Eastgate Software delivery
Rescue

Factory Management Automation

5× test coverage · 6→1 systems · AI-accelerated delivery

Operators lacked real-time cart visibility, scrap tracking was retroactive, QC was paper-based, and data was scattered across six disconnected systems.

5×

E2E test-coverage growth

6 → 1

systems consolidated

Real-time

cart visibility & QC enforcement

Casting / manufacturingUSA2026
View delivery details

What we built

  • Stage-pipeline dashboard with drag-and-drop cart movement
  • QC checklist enforcement at every stage transition
  • Scrap tracking with reason codes, photos & threshold alerts
  • Native analytics + Coho casting-cell integration

AI tools & method

  • Claude Code (CLI + VS Code), Opus for planning/architecture, Sonnet for build/refactor
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

Claude CodeNestJS / ReactTypeScriptPostgreSQL / RedisPlaywright MCP
Product team collaborating in a modern workspace
Enterprise SaaS
Run

Customer-Support AI Agent

50% of escalations resolved at Tier 1 · live in 4 weeks

Support teams lost hours searching across tabs for answers, drowned in Tier-1 escalations, and feared costly, hard-to-integrate AI tooling with unclear ROI.

~50%

of escalated tickets resolved at Tier 1

4 wks

integrate → train → launch → optimise

24/7

always-on web & mobile

Customer ops / SaaSGlobal4 weeks
View delivery details

What we built

  • Multi-agent routing resolves common issues at first contact
  • Auto-surfaces answers from FAQs, docs and past tickets
  • Natural voice + text interactions; automated ticket handling
  • Pre-trained, plug-and-play into existing CRM & ticketing

AI tools & method

  • Multi-agent orchestration with human-verified configuration
  • Flexible structured + unstructured data extraction
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

Multi-agent routingVoice synthesisCRM / ticketing APIsRAG over docs
Urban highway and traffic infrastructure at dusk
Public Sector · Germany

Product visuals

GAP motorway traffic-monitoring dashboard with real-time sensor visualizations
GAP traffic-monitoring dashboard — Eastgate Software delivery
Evolve

Government Smart-Mobility Platform

92–95% event-detection accuracy · −30% lead time

Build a workstation for motorway operators: collect and process daily sensor data, visualize traffic conditions, and support traffic-state prediction.

92–95%

traffic-event detection accuracy

40%

data-processing latency reduction

25–35%

faster incident response

Smart mobility / ITSGermany (Gov.)2026
View delivery details

What we built

  • Multi-tenant, cloud-based system via web interface
  • Ingests & preprocesses daily motorway sensor data
  • Clustering identifies recurring patterns for prediction
  • Real-time dashboards, charts & alerting

AI tools & method

  • Claude Code (Opus/Sonnet) across discovery→deploy
  • NotebookLM for document intelligence; Deepwiki for repo navigation
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

Claude CodeJava / Spring BootReactPrivate cloudPlaywrightSonarQube
Person using a mobile social app
Consumer · Japan / Korea
BuildEvolve

Real-Time Dating & Social Platform

65–70% faster launch · ~50% lower cost

Launch a modern dating platform with real-time interaction, accelerate time-to-market, and keep development cost low without sacrificing scalability.

65–70%

faster launch (12–16 wks → 5 wks)

~50%

cost cut (3–4 vs 6–8 devs)

14

modules shipped in 5 weeks

Consumer socialJapan & KoreaMVP → production
View delivery details

What we built

  • Real-time video, messaging, discovery & payments
  • AI generates components, features & API integrations
  • AI-authored implementation plans (46+ docs) before build
  • Feature-based, Docker-ready, i18n architecture

AI tools & method

  • Claude Code + Cursor for code generation
  • Claude Code for test generation (Vitest); AI proposes fixes, devs validate
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

Claude CodeCursorNestJSNext.js / ReactDockerBiome + TS strict
Analyst reviewing investment documents at a desk
Investment management
Build

AI-Driven Due Diligence Automation

DD processing cut from weeks to days · delivered in 2 months

Manual review of pitch, financial, legal and IP documents took weeks to months, with consistency depending on which analyst ran it — and volume was outpacing the process as AUM doubled with 300+ potential startups in play.

Weeks → Days

DD processing time

4

standardized reports per deal

2 mo

kickoff to live

VC / investment opsGlobal2 months
View delivery details

What we built

  • AI-driven platform generating 4 standardized DD reports (Business / Financial / Legal / IP)
  • Document AI for automated extraction from PDFs, scans and tables
  • Vertex AI Gemini for analysis and report generation via Google Docs templates
  • Workflows & Cloud Functions orchestrating ingest → extract → analyze → generate

AI tools & method

  • Google Cloud AI stack (Document AI, Vertex AI Gemini, Workflows, Pub/Sub)
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

Google WorkspaceDocument AIVertex AI GeminiCloud Workflows / Pub-Sub
Retail customer service interaction at a mall kiosk
Customer experience · Retail

Product visuals

System flow diagram for Digital Human with LLM and RAG architecture
System flow — Digital Human with LLM & RAG
BuildRun

AI Digital Human for Customer Service

35–40% of routine inquiries automated · 92%+ satisfaction

Workforce shortages left supermarkets, malls and event teams unable to give timely responses — and some customers, especially elderly users, were hesitant to interact with human staff at all.

35–40%

of routine inquiries automated

92%+

customer satisfaction

20–25%

annual service cost reduction

Retail / eventsJapan6 months
View delivery details

What we built

  • LLM+RAG-powered Digital Human with avatars modeled on real employees and company-specific knowledge bases
  • Deployed across corporate reception, malls and live events
  • Avatar creation (image + speech), lip-sync and video-generation modules, WebRTC streaming

AI tools & method

  • LLM + RAG architecture for knowledge-grounded responses
  • AI-accelerated delivery under human control — every architecture decision, security gate, and merge is owned and signed off by a named senior engineer, and validated by the AI Vibe Test Framework.

Tech stack

PythonTensorFlowRAGUnityMySQLDocker

Delivery runs through Viteus from Vietnam — methodology, operating modes, and capability transfer are on How we engage. Explore Services · Contact

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