AI & data consultancy · est. 2022

AI that makes it
to production.

Strategy decks don't move numbers — shipped software does. Huxence designs, builds and runs AI & data systems: 180+ documented solutions across finance, supply chain, commercial and operations.

180+
solutions documented
8
practice areas
10+
industries served

What we build

Eight practices, one delivery discipline.

188 solutions · 21 capability types

AI & Generative Solutions

41 solutions

LLM assistants and copilots, document AI, computer vision and intelligent automation — frontier models put to work in production.

  • LLM copilots
  • Document AI
  • Computer vision
  • Similarity search

Data & Analytics / BI

34 solutions

Executive dashboards, data quality and governance, catalogs and forecasting — decisions made measurable.

  • Executive dashboards
  • Data quality
  • Data catalogs
  • Forecasting

Sales, Marketing & Commercial

24 solutions

Pricing and revenue growth management, custom CRMs, field-force tools and target tracking that grow revenue.

  • Revenue growth
  • Custom CRM
  • Field-force apps
  • Target tracking

Procurement & Supply Chain

23 solutions

Replenishment, demand planning, routing and inventory optimization that lower cost-to-serve.

  • Demand planning
  • Routing
  • Replenishment
  • Decision engines

Finance & Accounting

20 solutions

AP/AR automation, payment files, bank reconciliation and consolidated reporting that compress the close.

  • AP/AR automation
  • Reconciliation
  • Consolidation
  • Payment files

Operations, Industry & People

18 solutions

Retail operations, manufacturing quality, healthcare workflows, HR and knowledge management — sector-specific tools.

  • Retail ops
  • Quality
  • Healthcare
  • HR & talent

Cloud, Platform & Data Engineering

16 solutions

Azure landing zones, lakehouses, migrations and MLOps — a reliable, governed home for every workload.

  • Landing zones
  • Lakehouse
  • Cloud migration
  • MLOps

Strategy, Advisory & Transformation

12 solutions

AI maturity assessment, use-case portfolios, operating models and roadmaps that align spend to outcomes.

  • AI roadmaps
  • Use-case portfolio
  • Operating model
  • System selection

Selected work

Real systems, running in real organizations.

Client names withheld by design

Retail / FMCG

Shelf intelligence from store photos

Computer vision turns ad-hoc store photos into availability, lost-sales and compliance metrics across hundreds of stores — so field teams fix the right shelf first.

Hundreds of stores, one prioritized action list

Energy & utilities

AI data quality at 7-billion-record scale

An LLM engine profiles the warehouse, proposes quality rules in plain language and generates the SQL. Stewards approve; scorecards track six quality dimensions.

~7bn records · ~30 data stewards equipped

Pharma retail

Field-force CRM across 1,000+ locations

A controlled, auditable quarterly targeting workflow with live coverage visibility for supervisors and HQ. In production on Azure with automated CI/CD.

1,000+ endpoints · ~400-test backend suite

Manufacturing

AI triage for quality complaints

Similarity retrieval with AI summaries standardizes complaint triage for a global tooling manufacturer — plus quote and technical-drawing search across text and CAD.

Sub-5-second retrieval · ~90 automated tests

Food & grocery

An ERP catalog for people and AI agents

One generated artifact set serves a browsable web catalog for staff and an MCP server for AI agents — over an ERP with hundreds of cryptic tables. Strictly PII-safe.

One safe entry point, reused by later automation

Healthcare

A finance back office, automated

Daily revenue posting, bank and card statement import, and supplier payment file generation for a multi-site clinic network — manual re-keying eliminated.

Daily chore → repeatable generate-and-import flow

These are six of 188. If your problem looks like one of these, ask us for the full catalog walk-through.

Spotlight · Revenue Growth Management

Most pricing runs on opinion. Yours doesn't have to.

In many commercial organizations, less than 5% of accessible data ever informs a pricing, promotion or assortment decision. Our Revenue Growth Management programs change that: we put analytics behind all four commercial levers, embed them in dashboards your teams actually use, and train the operating rhythm to match — from single-market retailers to multi-country manufacturing groups.

1–3% net-revenue lift is the range our RGM programs are scoped to deliver — from margin-leakage diagnosis to a running platform, typically inside six months.

Ask about an RGM diagnostic

Pricing

Price corridors, price-pack architecture, competitive gap analysis — up to AI-driven dynamic pricing per SKU and region, with automated updates into your ERP.

Promotions

Frequency, depth and investment optimized on evidence: uplift, incremental profit and best/worst-event analysis instead of gut feel.

Assortment

Demand-space mapping, SKU rationalisation and cluster-based assortment recommendations — down to shelf-space and planogram actions.

Trade & commercial conditions

Discount cascades normalized into a true net landed cost per SKU, and trade investment redirected to where it earns margin.

Delivered as: 50+ dashboard RGM analytics library · multi-country cloud platforms · AI dynamic pricing & competitor price intelligence · net-shelf cost engines

How we work

Fixed-price phases. No surprises.

  1. 01

    Diagnose

    We start inside your data and processes, not a slide template. Scoping produces a concrete, costed picture of what is worth building.

  2. 02

    Design

    Fixed-price, phased proposals with architecture you can challenge. You see what will exist, what it costs and what it replaces.

  3. 03

    Build & ship

    In-house engineers deliver working software with CI/CD, automated tests and staging environments — deployed into your own cloud tenant.

  4. 04

    Run & improve

    Hypercare through go-live, then continuous support. Solutions are built to be extended — many clients come back to build on the same platform.

  • You own the code. Deployed in your cloud tenant — no vendor lock-in.
  • No per-seat licensing. Custom builds scale to unlimited users.
  • Production discipline. CI/CD, automated test suites, staging, hypercare.
  • AI with judgment. Human-in-the-loop validation and PII-safe pipelines.

About

A consultancy that engineers.

Huxence was founded in 2022 on a simple observation: most AI advice never becomes software. Our consultants are in-house engineers who take solutions from first workshop to production and beyond — for organizations from SMEs to multinational groups, across retail, pharma & healthcare, manufacturing, distribution, logistics, energy, financial services and the public sector.

Working stack

  • Python
  • Azure
  • Microsoft Fabric
  • Power BI
  • Azure OpenAI
  • React
  • TypeScript
  • Node.js
  • FastAPI
  • scikit-learn
  • SQL Server
  • Docker
  • GitHub Actions
  • MCP

Contact

Bring us a problem worth solving.

A first conversation costs nothing and usually ends with a concrete idea of what to build — and what not to.