Altiora AI
Data Engineering · Applied AI · Products

Connect the data. Automate the decisions.

Altiora AI builds data platforms and applied AI systems on the stack that fits you, plus our own AI products. When your platform is Palantir Foundry and AIP, we deliver on that too.

Any platformWarehouses, lakehouses, custom builds and Foundry
Data to decisionOne team across every layer
Built with youYour team trained to run it
Altiora · Delivery boardIllustrative
Customer data modelOne definition of customer, order and assetLive
ERP to lakehouse pipelineHourly refresh with quality checksLive
Supplier triage agentCustom agent, tested on 200 past casesTesting
Decision Engine routingCost-aware model choice per taskEarly access
4workstreams
2in production
1team
02 — The problem

AI pilots stall because the data underneath is not ready.

The model is rarely the hard part. The work that decides the outcome happens before and after it.

Before

Data in ten systems

No shared definition of a customer, an order or an asset, so every answer needs a manual reconciliation.

During

Pilots with no owner

A demo works on sample data, then nobody is accountable for turning it into a process.

After

No measurement

Nobody can say whether the AI output is right, so trust fades and usage drops.

Always

Platforms nobody runs

Powerful tools are bought, then left because the team was never trained to operate them.

03 — One stack

Three layers. One team across all of them.

DATA APPLIED AI PRODUCTS
04 — How it works

From audit to a live system, one inspectable step at a time.

05 — Data and AI solutions

Data engineering and applied AI, on the stack that fits you.

06 — Palantir & AIP Solutions

When your platform is Palantir, we build on it.

Foundry and AIP are one of the platforms we deliver on. As an independent team, we model your business in the ontology, connect the data, build the applications operators use, and put AIP agents to work with proper evaluation and controls.

Model

Ontology design

Objects, links and actions that mirror how your operation really runs.

Connect

Pipelines and integration

Source connections and transforms in Pipeline Builder and code, with health checks.

Operate

Workshop and operational apps

Applications that let operators act on the data, not just look at it.

Automate

AIP agents and logic

LLM-powered workflows grounded in the ontology, tested on your own cases.

Govern

Security and audit

Roles, markings and review steps set up before anything goes live.

Enable

Training and hand-over

Your team learns to build and run it, so the programme outlasts our engagement.

07 — Products

Software we build and run ourselves.

Early access to the tools we use on client work. Tell us which one fits and we will set you up.

In build · early access

Decision Engine

Predictable cost and quality for every AI task. It picks the right model and effort for each job, keeps you inside a budget, and shows why it chose what it did.

Ask for early access
Routing logIllustrative
TaskRouteCost
Classify an invoiceSmall model · low effort$0.001
Summarise a support ticketSmall model · low effort$0.003
Review a contract clauseFrontier model · high effort$0.19
Estimate your savings with routingExample assumptions · edit them
One frontier model for everything
With routing
Estimated saving

An estimate, not a quote. Prices are examples and vary by model and task size. The routing layer has its own cost, and quality is checked on your own test set.

Early access

Tailored Fine-Tuning

Models adapted to your data, vocabulary and tone. We prove on your own test set that the tailored model beats the general one before anything goes to production.

Talk to us
  • Training data prepared and checked with you
  • Evaluation set built from your real cases
  • Side-by-side results against the general model
  • Cost and speed measured before rollout
In build

Custom Harness

A governed agent harness built around your workflows. Your agents get the tools they need and nothing more, with every step recorded.

Talk to us
  • Roles and permissions for each agent
  • Limits on spend, data access and actions
  • Human review steps where risk calls for them
  • Full audit trail of what each agent did
Consumer

B2C Products

Products for households and individuals, built on the same foundations as our business tools.

Planned

HomeBase

An operating system for the home: devices, routines and household knowledge, running on your own network.

Join the waitlist
More in the lab

More consumer products are being explored. Join the list to hear first.

Get updates
08 — System preview

What you can see on day one of operations.

Every system ships with a view of its own health: data freshness, agent accuracy and cost. Sample data below.

app.example.com / operations / data healthDemo

Sample data for illustration only. Your dashboard is configured during onboarding.

09 — Who we serve

Built for teams that need AI to hold up in operations.

Enterprise

Operations-heavy organisations

Supply chain, finance, energy, healthcare and public sector teams with data across many systems.

Platform

Teams on a Palantir platform

Programmes that need extra delivery capacity, ontology design or AIP expertise.

Growth

Scale-ups with scattered data

Companies whose reporting and automation outgrew spreadsheets and point tools.

Builders

Founders building on AI

Teams that need tuned models, cost control and a governed way to ship agents.

10 — Why it works

Four principles we do not trade away.

01

Measured, not demoed

Every system ships with tests on your cases. If we cannot measure it, we do not claim it.

02

Bounded by design

Clear limits on what an AI can read, spend and change. Permissions are written down.

03

Your data stays yours

You choose where it lives and which models may see it. We work inside those lines.

04

Close to the work

The people you meet are the people who build. Newer engineers get real responsibility and mentoring.

Data you can trust, AI you can measure, and a team that can run both without us.Altiora AI · Founders
11 — FAQ

Questions we hear every time.

Do you only work with Palantir?

No. Most of our data engineering and applied AI work is on other platforms and custom builds. When a client runs Palantir Foundry and AIP, we deliver on that too. We are an independent firm, not affiliated with Palantir.

How long does a first system take?

A first working slice usually takes three to six weeks, and production a few weeks after. Complex programmes run longer. We agree the plan in the audit.

Do we need an in-house AI team?

No. We work with whoever you have, and train them to run the result so you do not depend on us.

Which AI models do you use?

We choose models with you, within your data and security rules, and we test them on your own cases before anything ships.

What happens when an AI output is wrong?

Systems are built with checks, fallbacks and human review where the risk calls for it. Errors are logged so they can be fixed and measured.

How do you handle data security?

You decide where data lives and who can see it. Access is limited by role, and every action by an agent is recorded.

How are you different from a large consultancy?

A small team of senior builders, one accountable group across data and AI, and our own tooling on your project.

12 — Get started

Ready to put your data to work?

  • A free 30-minute audit of your data and AI opportunities
  • A straight answer if we are not the right fit
  • Reply within two working days
Book your free audit