Amalgament vs. Palantir

Enterprise platform vs. measured results

Palantir gives large organizations the platform to model and run their operations. Amalgament starts from a small business's economics and builds whatever moves them.

Where each one sits
Software you operatePlatform

You adopt a platform and build the operating model, the applications and the workflows on it.

Palantir, workflow builders
AI you manageAI worker

You hire an AI employee, brief it, review its work and approve what it proposes.

Viktor, agents
Results you delegateMeasured outcome

We start with the economic opportunity, record a baseline, build and run whatever it takes, and measure the result in your own systems.

Amalgament

What Palantir is

From their own site, read 2026-09-17

  • Foundry's Ontology is described in Palantir's documentation as "an operational layer for the organization" that maps data sources into objects, properties and links, with action types and functions to change state under organizational controls.
  • AIP adds builder tools, named in the docs as AIP Logic, AIP Chatbot Studio and AIP Evals, for building "production-ready AI-powered workflows, agents, and functions on top of the Ontology."
  • The documentation is written for the organization's own builders: data engineers, application developers and operators.

Our read

Palantir is an enterprise operating platform. An organization adopts it, models its data, decisions and actions in the Ontology, then builds operational applications, workflows and agents on top, usually with a dedicated implementation team. It is deep, governed and powerful, and it is designed for complex environments with the people to run them.

This page is a conceptual contrast. Amalgament does not claim to be technically equivalent to Palantir, and small businesses are not Palantir's market. What the two share is a philosophy: the business should have an operating model, and work should run on top of it.

What Amalgament is

Amalgament builds systems that improve the economics of a business. We measure the work in customers created, revenue created and cost removed.

We start with the economic opportunity, not the technology. Scout finds demand the business is not capturing and turns it into customers. Forge finds revenue inside the customers, capabilities and relationships the business already has, then builds the offer and the system that make it real. Sift finds recurring cost that can be removed without losing the capability behind it.

Before we build, we record a baseline. Then we build and run whatever combination of software, AI, data, automation and execution the opportunity requires, and measure the result in your own systems of record. You never have to choose the technology.

Customers created. Revenue created. Cost removed.

Side by side.

Text, not checkmarks. Where both do a similar thing, the row says so.

What you buy
PalantirA platform. Your organization builds the operational model, the applications and the workflows on it.
AmalgamentA result: customers created, revenue created or cost removed, with the systems built to produce it.
Who builds the operating model
PalantirYour data engineers and builders, often alongside an implementation team.
AmalgamentWe do, as much of it as the opportunity needs. You never have to learn it.
Who operates it
PalantirYour organization, day to day.
AmalgamentWe build and run what the result requires. You keep working in the tools you already use.
Who builds the workflows and agents
PalantirYour builders, using the platform's tools.
AmalgamentWe do, when the opportunity calls for them. Sometimes the answer is simpler.
Customer software burden
PalantirSignificant. It is a platform to learn, administer and govern.
AmalgamentNone. There is no platform for you to learn.
Implementation model
PalantirA project, with the organization's team engaged throughout.
AmalgamentFind the opportunity, record a baseline, build, measure. You answer questions about your business.
Human accountability
PalantirInside the customer organization.
AmalgamentAmalgament, for the result against the agreed baseline.
Core unit of work
PalantirThe operational model: objects, decisions and actions.
AmalgamentThe economic result, measured in your own systems of record.
Scale of organization
PalantirEnterprises and governments with complex data and the staff to operate a platform.
AmalgamentSmall businesses that need the outcome without the platform.
Commercial model
PalantirEnterprise agreements.
AmalgamentScoped to the opportunity and agreed before work starts.
Best fit
PalantirOrganizations that want to own and operate a deep operating platform.
AmalgamentOwners who want the economics of the business improved without owning a platform.

The unit of work.

A similar idea underneath. The difference is who builds it and what it is measured by.

Palantir

The organization models the customer, the order, the exception and the decision, then builds the application that acts on them.

Amalgament

We look at your customers, jobs, invoices and costs, find where the economics can move, and build what moves them. You never see the model. You see the result in your own CRM, invoices or payments.

Which one, honestly.

Choose Palantir if
  • You are a large organization with complex data and a team to operate a platform.
  • You want to own the operating model and build your own applications on it.
  • Governance, security and scale requirements come before speed of setup.
Choose Amalgament if
  • You run a small business and want its economics improved, not a platform to run.
  • You have no internal technical team and do not want one for this.
  • You want a result measured against a baseline, without an enterprise project.

A few good questions.

Start with the opportunity. Measure the result.

Keep your tools. We find where the business can win customers, add revenue or remove cost, record a baseline, build what it takes, and measure the result in your own systems.

Sources, read 2026-09-17: Palantir docs: Ontology overview, Palantir docs: AIP overview. Descriptions of Palantir are our reading of public material on that date and may be out of date; we do not make claims about accuracy, reliability or pricing beyond what is shown there.

Other comparisons