Industries We Serve
Engineering for AI startups.
Your differentiator is the model and the data. Almost everything around it — auth, billing, pipelines, evaluation, cost control — is work we can absorb.
What Makes It Hard
The problems that actually bite.
Demo quality not surviving real traffic
A prototype that impresses in a controlled demo meets messy inputs, adversarial users and long-tail queries. That gap is engineering work.
Inference cost outrunning revenue
Without caching, routing and prompt discipline, unit economics can invert quietly as usage grows.
No way to tell if a change helped
Without an evaluation set, prompt and model changes are guesswork. Teams end up relitigating the same decisions from memory.
Research time going to platform work
Your ML engineers should not be building billing and user management. That is precisely the work to hand over.
What We Build
Systems we deliver for AI startups teams.
- Application layer around your model: auth, billing, quotas, admin
- Evaluation harness with graded test sets and regression tracking
- Inference caching, batching and model routing for cost control
- Data ingestion and labelling pipelines
- Vector store setup, indexing and reranking
- Usage metering and per-customer cost attribution
FAQ
Common questions.
Will you touch our model or training code?
Only if you want us to. Most engagements are deliberately around the model — the product surface, the pipelines and the infrastructure — leaving your research team on research.
Can you help control our inference costs?
Yes, and it is a common first engagement. Caching, smaller-model routing for easy queries and prompt trimming usually produce meaningful reductions without a quality drop.
Do you sign IP agreements covering model work?
Yes. Full IP assignment and NDA are standard on every engagement, including anything touching training data or model artefacts.
Other industries
Get In Touch
Tell us what you are building.
Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.
Or email info@nimlogixtechnologies.com