Backend, data & integration engineering for systems that can't afford to be wrong
Nile Code helps B2B companies build and improve backend systems, integrations, data pipelines, cloud services and applied AI — especially where data has to move reliably between products, APIs, databases, financial systems and operational workflows.
Source system
Reconciled: event_id unique across retries
Transformation
Reconciled: each source row → exactly one output row
Destination API
Reconciled: retry reused its idempotency key
Finance
Exception: totals equal the source
Rows that differ are listed, each with its reason.
Looking for the education platform? Nile Code LMS is our product for learning centres.
The problems we work on
Backend & distributed systems
Services that stay correct under load, retries and partial failure.
System & API integration
Data moving between SaaS platforms, internal systems and third-party APIs, without silent loss.
Data engineering & integrity
Pipelines where every record can be traced from where it started to where it landed.
Applied AI
AI inside production systems, with retrieval, validation and human review where they belong.
Cloud & production systems
Infrastructure that deploys cleanly and tells you when something is wrong.
- All services in detail
What each one covers, how we work, and the stack.
A focused first engagement: the Billing Pipeline Integrity Sprint
Usage-based billing passes through metering, pricing, a billing platform, invoices and finance. Each system can work while the chain between them loses events, counts them twice, or prices them wrongly.
In seven days we take one boundary in that chain — for example usage events to your billing platform — and build the reconciliation that shows exactly where it disagrees, from read-only data.
Usage events
Check: no event missing or counted twice
Billable usage
Check: every unit attributed to one customer
Billing platform
Check: invoice lines equal rated usage
Built by Nile Code: an education management platform
Ways to work with us
Focused engineering sprint
About 1–2 weeks
The easiest place to start: one clearly bounded technical problem, a fixed scope, and working output at the end — code, tests and findings you keep.
Engineering project
Several weeks to several months
A larger backend, integration, data, AI or infrastructure build, planned in milestones and delivered into your repositories.
Embedded engineering
A defined period
Senior backend engineering working inside your existing engineering or product team, on your tools and your process.
What we build with
- Backend
- Go, PostgreSQL, Redis, REST, gRPC, WebSockets
- Infrastructure
- Docker, Kubernetes, GCP, Cloud Run, Cloud SQL, Pub/Sub
- AI & data
- OpenAI APIs, LLMs, RAG, pgvector, Embeddings, Hybrid search, Document processing
- Frontend
- React, Next.js
Have a system that has to be right?
Tell us where the data moves and where it goes wrong. The first conversation is technical: the systems involved, the boundary that matters, and what a first sprint would produce.