Skip to content
Techsense Developers
TrustLet's Talk
Work
Trade Compliance · GovTech · Nigeria

Nohena

A customs query lands days after you lodge, and the demurrage clock is already running. Nohena turns messy import documents into a correct, low-risk, ready-to-lodge declaration, with every output explained and a defensible audit trail, so you fix the problem before it costs you.

100%
Decisions cited & explained
2
Pre-lodgement checkpoints
NDPA
Compliant by design

Context

  • Nigerian import clearance is rigged against the agent. The customs authority scores every declaration with automated valuation and risk tooling, while the clearing agent usually finds out there is a problem only when the PAAR query and the demurrage clock arrive. Nohena flips that. It lets the agent see the declaration the way a customs risk engine will, before lodgement, and fix it while there is still time. This is pro-accuracy, not evasion. Nohena prepares; the licensed agent lodges.

Approach

  • A modular monolith with a separate Python AI service behind an async job pattern, so it never blocks on a government portal or a provider outage.
  • RAG classification grounded in the tariff knowledge base (ECOWAS CET, WCO HS + explanatory notes, GRIs). The model never classifies from memory.
  • Rules-driven valuation (WTO transaction value + Article 8 additions) and AfCFTA / ECOWAS rules of origin, each decision citing the rule.
  • A two-checkpoint risk engine that predicts a four-lane outcome before lodgement, with strict per-tenant isolation and a tamper-evident audit trail.

What we built

  • The pipeline: vision-LLM extraction → RAG classification → valuation-risk → origin → checkpoint/lane, behind versioned contracts.
  • Four product surfaces: marketing, agent onboarding, the clearing console, and an internal review console.
  • NestJS API + Python AI service on Supabase / pgvector, with an NCS CET v3 + WCO HS knowledge base (~29.5k cited chunks).
  • Explainable by design: every classification, value flag, and origin call ships with a rationale, citation, and confidence.

Results

  • Every decision carries a human-readable rationale, citation, and confidence. No naked verdicts.
  • Queries and demurrage caught early, with a two-checkpoint, four-lane risk view before lodgement.
  • A defensible, append-only audit trail that holds up under customs scrutiny.
  • The lodgement boundary respected end to end: Nohena prepares, the licensed agent files.

Stack & standards

NestJSPythonSupabase / pgvectorReact + ViteRAG / Vision-LLMVertex AI
NDPA 2023Per-tenant isolationAppend-only auditEval-gated CI

Accuracy is the product. Every classification, value flag, and origin call ships with its rationale, citation, and confidence.

Nohena · product principle
Related work

More proof, more verticals.

AI Workforce · US
45s → 9s
Cold-start latency

Secured AI/ML pipeline + GKE migration

Supernomics
GCPGKE
Job Platform
1M+
Professionals served

Monolith decomposed; search rebuilt

Get.it · thePros.co
GoBigQuery
Enterprise SaaS
40%
Cloud cost reduction

Zero-downtime AWS → GCP migration

AI/ML SaaS
TerraformGCP
Your system next

Your case study is the next one we write.

Bring us the system that cannot fail. The senior engineers who delivered these results are the ones who would run your build.