Production Palantir Foundry solutions built by senior engineers.

From architecture and governed pipelines to ontology, Workshop, AIP, APIs, integrations, release, and support, Istarie builds systems your operators can trust and your team can own.

Schedule a technical review

Founder led delivery · Senior engineering teams · Production first implementation

Founder led Direct access from discovery to release
Senior engineers Architecture and delivery stay hands on
Governed by design Lineage, permissions, and evaluations
Production first Built for operation, not presentation
01 / Why Istarie

Builders, not a consulting layer.

Operational teams need systems they can govern, trust, and own. Istarie turns real constraints into secure Foundry products that people can use in daily work.

Istarie stays in the room from the first operational question to the production release, with owners, lineage, evaluations, and a rollback plan.

01

Senior engineers stay hands on

The people shaping the architecture are also accountable for what ships.

02

Team size follows the work

Capacity expands or contracts around your scope, timeline, and internal team.

03

Direct, weekly delivery evidence

Working software, open risks, and release decisions without layers of account management.

04

Built for production operations

Security, governance, testing, and knowledge transfer are part of the build, not follow up work.

02 / Services

Palantir delivery, end to end.

SV / 01

Foundry Implementation

Capabilities
  • Platform architecture and setup
  • Source integration and data products
  • Permissions and governance
  • Testing and deployment
  • Production readiness
SV / 02

Ontology Architecture

Capabilities
  • Object and relationship models
  • Actions, functions, and interfaces
  • Permissions and ownership
  • Operational semantics
  • Governance at scale
SV / 03

Data Engineering

Capabilities
  • PySpark and SQL pipelines
  • Versioned transformations
  • Quality controls and lineage
  • APIs and system integrations
  • Performance optimization
SV / 04

Workshop Applications

Capabilities
  • Role specific applications
  • Operational workflows
  • Governed writeback
  • Decision surfaces and approvals
  • User testing and adoption
SV / 05

AIP Solutions

Capabilities
  • Agent and workflow design
  • Tools and human approvals
  • Evaluations and monitoring
  • Permissions and guardrails
  • Safe fallback paths
SV / 06

Managed Support

Capabilities
  • Release and incident support
  • Platform and pipeline optimization
  • Backlog delivery
  • Governance and documentation
  • Internal team enablement
03 / Delivery process

From discovery to ownership.

Every stage has a visible technical output, a named owner, and evidence for the next decision.

01

Discovery

Clarify the operational problem, users, constraints, source systems, and success measures.

Output

Problem definition and prioritized use case.

02

Architecture

Define the ontology, data products, application boundaries, security, and release approach.

Output

Technical design, acceptance criteria, and release plan.

03

Development

Build in thin production slices with real data and regular demonstrations for stakeholders.

Output

Working governed software and reviewed increments.

04

Testing

Validate data quality, permissions, application behavior, AIP evaluations, and failure paths.

Output

Test evidence, resolved defects, and release readiness.

05

Deployment

Release with monitoring, governance, ownership, support procedures, and rollback readiness.

Output

Production release with operating controls.

06

Knowledge Transfer

Pair with internal teams, document decisions, and make routine operation maintainable.

Output

Documentation, training, and a named handoff.

07

Support

Scale usage, improve performance, extend workflows, and adapt delivery to new priorities.

Output

Support cadence, backlog ownership, and service evidence.

04 / Industries

Built for complex operations.

Automated vehicle manufacturing line with robotic assembly equipment
Operating focus

Manufacturing and Industrial

Unify production, quality, maintenance, and supply signals into one governed operating view.

05 / Reference solutions

Built around real operating constraints.

Industrial operations

One operating view across fragmented systems.

Problem: planners reconciled asset, order, and workforce status across disconnected sources. Solution: a governed Foundry data layer, shared ontology, and Workshop application tailored to each role.

Technology · Foundry, Ontology, WorkshopScope · Data product through applicationEvidence · Adoption and reconciliation time
Target outcome Single source of action Owners work from the same modeled reality instead of reconciling spreadsheets.
Regulated workflow

Move an AI prototype into controlled production.

Problem: an AI proof of concept had no approvals, evaluation framework, or operational fallback. Solution: an AIP workflow with explicit tools, human checkpoints, monitoring, and rollback.

Technology · AIP, Ontology, FunctionsScope · Prototype through controlled releaseEvidence · Evaluation and approval records
Target outcome Auditable by design Every automated decision has a control, owner, evaluation, and recovery path.
Enterprise data

Replace opaque pipelines with governed products.

Problem: critical transforms were brittle, hard to test, and disconnected from business ownership. Solution: versioned PySpark and SQL pipelines with quality checks, lineage, ownership, and APIs.

Technology · PySpark, SQL, APIsScope · Pipeline modernizationEvidence · Quality and release history
Target outcome Weekly release evidence Working increments make scope, risk, and production readiness visible.

These are reference delivery patterns, not claims of audited client results or quantified outcomes.

06 / Technology expertise

Built inside the platform.

One senior team across the whole Foundry stack.

No handoff between a strategy deck and the people writing the transforms, modeling the ontology, or building the application.

Review your architecture
01

Ontology

Objects, links, actions, permissions, interfaces, ownership, and operational governance.

02

Workshop

Enterprise applications, workflows, writeback, and decision surfaces tailored to each role.

03

AIP

Agents, functions, tool use, human approvals, evaluations, monitoring, and guardrails.

04

Pipeline Builder

Visual transformations, data quality checks, scheduling, observability, and lineage.

05

Code Repositories

Version controlled application and pipeline development with review and release discipline.

06

PySpark & SQL

Performant, testable transformations from raw ingestion through trusted data products.

07

APIs & Integrations

ERP, MES, historians, SaaS systems, operational APIs, and secure external services.

08

Enterprise Applications

Software built for a clear purpose that makes governed data useful in daily operational work.

07 / Delivery model

Senior ownership from architecture through release.

A focused delivery model built around direct access, clear evidence, and systems your internal team can own.

Delivery principle Large consulting model Istarie Client result

Senior involvement

Senior specialists may rotate into reviews while delivery passes through several layers.

Senior builders remain accountable throughout delivery.

Fewer handoffs and faster technical decisions.

Team shape

Fixed program structures can add capacity before the technical need is clear.

Capacity changes with scope, risk, and release priorities.

The right expertise without unnecessary program overhead.

Communication

Account and program layers can separate stakeholders from technical owners.

Technical owners work directly with your stakeholders.

Open risks, decisions, and progress each week.

Engagement

Broad discovery phases can delay working evidence and production learning.

Begin with a focused review and explicit acceptance criteria.

A clear start plan before delivery capacity expands.

Ownership

Handoff and enablement may begin late in the engagement.

Knowledge transfer, governance, and support are planned into the build.

A maintainable system your internal team can operate.

08 / Flexible team

A senior team shaped around the work.

Istarie combines the disciplines your project needs, from a focused technical review to embedded delivery capacity. You work directly with practitioners who remain accountable as priorities change.

Before work begins, you will know the proposed team, each person’s responsibility, and where technical decisions sit.

Foundry architectureSystem design, governance, security
Ontology engineeringObjects, links, actions, permissions
Data engineeringVersioned pipelines, quality, lineage
Workshop developmentOperational applications tailored to each role
AIP engineeringAgents, tools, evaluations, guardrails
API and integration engineeringSecure interfaces, ERP, MES, SaaS systems
Application testingBehavior, permissions, quality, failure paths
Delivery leadershipPlanning, risk, cadence, handoff
Knowledge transferPairing, documentation, team enablement
Managed production supportRelease, optimization, backlog, incidents

FAQ

What kinds of Palantir projects does Istarie take on?

Foundry implementations, ontology architecture, data pipelines, Workshop applications, AIP workflows, integrations, platform optimization, and managed delivery support. Engagements can begin with a focused review or a complete build.

How quickly can an engagement start?

The first step is a technical review of the operational problem, current platform state, constraints, and desired release. From there, Istarie can propose a focused scope, delivery shape, acceptance criteria, and start plan.

Do you work alongside internal teams?

Yes. Istarie can lead a delivery, embed into an existing program, pair with internal engineers, or provide specialized architecture and implementation capacity. Knowledge transfer is built into the delivery process.

Is the team size fixed?

No. The team is adjusted to the technical scope, timeline, internal capacity, and release priorities. The goal is the smallest senior team that can deliver responsibly.

How do you keep AIP work production ready?

AIP workflows are designed with explicit tools, permissions, human checkpoints, evaluations, monitoring, owners, and fallback behavior. The production operating model is part of the solution, not an afterthought.

Who owns the work and the data?

Your organization retains control of its data, platform, and delivery artifacts. Ownership, access, documentation, and handoff expectations are made explicit in the engagement scope.

What happens after the technical review?

You receive a recommended next step with the proposed scope, delivery shape, acceptance criteria, and the technical decisions that need to be resolved first.

Can Istarie provide ongoing support after launch?

Yes. Support can cover release management, incident response, platform optimization, backlog delivery, governance, documentation, and enablement for the internal team. The exact service model is agreed before production handoff.

10 / Technical review

Talk with a Foundry architect.

Share the workflow, source systems, current constraint, and what needs to ship. A senior delivery lead will use the first conversation to identify the highest value technical next step.

Direct review by a senior delivery lead Technical working session, not a generic sales call Clear scope, acceptance criteria, and next step

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A senior delivery lead reviews each request and replies with the next technical step.