Services · AI & data

AI & Machine Learning

AI features that are useful, measurable and safe in production.
Abstract streams of light converging, suggesting data in motion

01Overview

LLM applications, machine learning and data engineering, taken from prototype to production with guardrails.

We help teams move from AI experiments to features customers rely on: document understanding, search and assistants built on large language models, forecasting and recommendation models, and the data pipelines underneath them.

Every AI feature we ship comes with evaluation suites, human review where it matters, cost controls and monitoring, so you can see that it works and keep it working.

02Capabilities

What we build.

  • LLM assistants & search
  • Document AI
  • Predictive models
  • Recommendations
  • Data engineering
  • Responsible AI
Models
Open & commercial LLMsPyTorchscikit-learn
Retrieval
pgvectorOpenSearchEmbedding pipelines
Data
PythondbtAirflowKafka
Platform
AWSAzureGoogle CloudMLflow

03Selected work

AI & data in production.

  • CompletedPRJ—03

    DP Career Connect

    Education & EdTech · Web platforms · AI & data

    Four education products: coaching, college discovery, AI and coding

    Coaching website · College finder website · Student AI product · Coding training website

  • In progressPRJ—06

    DoctorPartner

    Healthcare & healthtech · AI & data

    AI support for doctors

    AI support for doctors

04How we work

Five stages. No surprises.

The same disciplined rhythm on every engagement, whether it is a six-week MVP or a multi-year platform.

  1. 01

    Discover

    Workshops, research and a technical audit, ending in a costed roadmap you own.

  2. 02

    Design

    Journeys, architecture and prototypes, validated with real users before we build.

  3. 03

    Build

    Two-week sprints with working software, demos and transparent progress.

  4. 04

    Launch

    Automated releases, monitoring and a calm, rehearsed go-live.

  5. 05

    Evolve

    Measure, learn and improve, with support that has real response times.

05FAQs

Questions we often hear.

  • How do you make sure AI outputs are accurate?

    We build evaluation datasets from your real cases, measure accuracy before launch, add human review for high-stakes decisions and monitor quality continuously in production.

  • Will our data be used to train public models?

    No. We design deployments so your data stays within your cloud account or with contracted providers that exclude it from training, and we document every data flow for your security team.

  • Do we need a lot of data to start?

    Not always. Many LLM applications work with your existing documents and a modest evaluation set. Discovery tells us what data you have and what is worth collecting next.

06Start a project

Tell us what you’re building.

A senior ai & data specialist will reply within one working day.

contact@lunified.com

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Start a project

Let’s build what’s next.

Tell us what you are working on. A senior member of the team will reply within one working day.

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