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NUEXUS Technologies
RAG assistants

AI and machine learning that ships to production, not a demo that dies in a slide deck

We build RAG assistants, AI agents and machine learning models grounded on your own data, then run them under real load. Certified engineers, evaluated outputs, a human in the loop where it matters.

Certified practitioners Outcomes backed by evidence We build it, then support it
24/7Monitoring on AI systems we run in production
Human-in-the-loopOversight built into high-stakes workflows
Your dataModels grounded on your documents, not the public web
EvaluatedOutputs scored against test sets before launch
What we do

Artificial Intelligence & ML, delivered end to end

The capabilities we bring to the table, named correctly and delivered by the people who do the work.

How we work

A method that turns scope into outcomes

A disciplined cycle, so you always know what is happening and what changes.

  • Certified practitioners
  • Outcomes backed by evidence
  • We build it, then support it
01

Discovery and feasibility

We map the use case to the right approach (RAG, fine-tuning, classical ML or automation), check your data quality, and agree on success metrics and a realistic scope.

02

Prototype and evaluation

We build a working prototype on your data and score it against an evaluation set: accuracy, hallucination rate, latency and cost. You decide go or no-go on evidence.

03

Production build and integration

We harden the system, add guardrails and human-in-the-loop checks, and integrate it with your stack and access controls. We deploy on AWS, Azure or Google Cloud.

04

Monitoring and improvement

We monitor outputs, cost and drift in production, retrain or re-tune as your data changes, and report on the metrics that matter. We stay accountable after launch.

The stack we work in

Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)AI AgentsAgentic WorkflowsLLM Fine-TuningVector DatabasesEmbeddings & Semantic SearchPrompt EngineeringNatural Language Processing (NLP)Computer Vision
Predictive AnalyticsRecommendation EnginesAnomaly DetectionModel Evaluation & GuardrailsMLOps & Model DeploymentFeature EngineeringTime Series ForecastingDocument Intelligence (OCR)Speech RecognitionHuman-in-the-Loop Review

We do the work ourselves, prove the outcome with evidence, and stay with you after launch.

Why NUEXUS

A partner that does the work and proves it

What sets our delivery apart in this domain.

01

We run our own AI in production

NUEXUS Defender and NUEXUS Comply use ML and LLMs in live products. We apply the same evaluation and monitoring discipline to your build, not theory from a blog post.

02

Grounded on your data, not the open web

We connect models to your documents and systems with RAG and access controls, so outputs are specific to your business and your data stays yours.

03

Human in the loop by design

For decisions with real consequences we keep people in control: agents propose, your team approves. We do not ship unsupervised autonomy where it can hurt you.

04

Measured outcomes, not demos

We define success metrics up front and test against them. You see accuracy, latency and cost numbers before anything reaches a customer.

Explore more

Other ways we can help

One team across the full stack. Here is the rest of what we do.

Questions

Frequently asked questions

The things teams ask us most before starting.

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Free playbook

Building With AI, Safely

Output validation, agent memory, orchestration, cost control and evaluation. How to ship an AI feature that behaves, instead of a demo that occasionally lies.

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