Service
Custom AI Development Services
Off-the-shelf AI tools rarely fit real operational workflows. NexusNao designs, builds and ships custom AI solutions — from machine-learning models to LLM-powered products — engineered for accuracy, reliability, observability and cost control in production.
Problems we solve
Sound familiar?
Generic AI tools that don't fit your domain, terminology or workflows
Prototypes that collapse under real-world data and edge cases
No evaluation framework, so quality regressions go unnoticed
Unpredictable inference costs at scale
Capabilities
What NexusNao delivers
LLM application engineering
Prompted, fine-tuned and tool-using LLM systems with structured outputs and rigorous evals.
Machine learning models
Classification, forecasting, recommendation and anomaly-detection models trained on your data.
Document & vision intelligence
Extraction, classification and understanding for documents, images and unstructured content.
Evaluation & guardrails
Automated eval suites, human-in-the-loop review and safety guardrails wired into CI.
MLOps & LLMOps
Versioning, monitoring, drift detection and cost dashboards so AI stays healthy after launch.
Typical use cases
Where this lands first
- Domain-specific assistants trained on proprietary knowledge
- Intelligent document processing for operations teams
- Forecasting and planning models for demand or capacity
- Quality-control automation with vision models
- Search and recommendations tuned to your catalogue
Recommended technology
Tools we reach for
- Python
- PyTorch
- Claude & GPT APIs
- Hugging Face
- ONNX
- PostgreSQL + pgvector
- Docker & Kubernetes
Final technology choices are made per project, on evidence — never by default.
Delivery process
How the engagement runs
Define
Success metrics, datasets, constraints and evaluation criteria agreed upfront.
Prototype
Rapid iterations against real data with measurable quality gates.
Harden
Edge cases, guardrails, monitoring, load and cost engineering.
Ship & operate
Production deployment with observability, evals in CI and handover.
Benefits
What you get out of it
AI that fits your workflow instead of forcing a new one
Measured, monitored quality — not vibes
Predictable inference costs engineered in from the start
Systems your team can operate and extend
FAQ
Custom AI Development questions
Straight answers to the questions teams usually bring us.
Do you fine-tune models or use APIs?
Whichever the evidence supports. We benchmark hosted APIs, open-source models and fine-tuning against your quality, latency, privacy and cost requirements before committing.
How do you measure AI quality?
Every build ships with an evaluation suite — curated test sets, automated scoring and regression alerts — so quality is a number you can track, not an impression.
Can our data stay in our environment?
Yes. We can deploy fully inside your cloud or on-premises environment, including self-hosted open-source models where data residency demands it.
Related services
Often combined with
Intelligence, made operational.
Ready to talk custom ai development?
Share where you are today. We'll respond with an honest read on feasibility, timeline and the fastest route to value.