Spark Agentic is a Palantir Foundry and AIP advisor and partner — with a broader practice in data, AI, and agentic strategy. Practitioner-led. Vendor-neutral. Shipping-focused.
Tenants get provisioned. Models get evaluated. Decks get presented. But the operator who could actually use the tool never sees it. We close that gap.
You bought Foundry, AIP, or a copilot stack. Twelve months later, the heroic users are real but adoption is shallow — and finance is asking why.
The advisory firm produced a roadmap. The roadmap produced a steering committee. The steering committee produced more slides. Nothing landed in production.
Risk and legal are blocking everything because nobody designed an approval path that lets builders go fast within boundaries auditors can sign off on.
Led by our Palantir enterprise implementation practice. Every engagement is scoped in weeks, run by a senior practitioner, and judged by what shipped — not what was planned.
Foundry ontology, data products, pipeline engineering, and AIP agent orchestration — from blank tenant to operator-ready workflow.
Engagement detailsDefine the data domain. Ontologies, knowledge graph, semantic layer, governance, and testing — a single source of truth for analysts, engineers, and agents.
Engagement detailsArchitecture reviews, platform selection, and technical roadmaps for CDOs, CTOs, and VPs of Data & AI.
Engagement detailsFrameworks that pass legal, security, and audit review — without smothering the teams that need to ship.
Engagement detailsFP&A acceleration, close automation, and finance workflow agents with controls auditors can sign off on.
Engagement detailsPrograms that turn licenses into usage, measurable outcomes, and P&L-visible ROI — not pilot graveyards.
Engagement detailsVendor-neutral platform reviews and structured bake-offs. Procurement-ready answers.
Engagement detailsWe work across the Foundry and AIP stack — from the entity model that grounds the data to the agent that an operator clicks on at 7am.
Entity model, relationships, link types, and link logic. Foundry data products that actually get reused across teams instead of forking on contact.
Transforms, code workbooks, and data-product authoring at enterprise scale — written by engineers who have run them on call, not just designed them.
Workshop apps, AIP Logic flows, and tool-calling agents that read from the ontology, take action, and leave an audit trail your risk team approves of.
Operator-ready workflows shipped alongside training, champion networks, and telemetry — so the capability sticks after we leave.
No slideware. Every engagement delivers decisions, systems, or products that outlive the engagement.
Current state of data, platforms, governance, and use-cases. Where you have leverage, where you have debt, and what's actually worth funding next quarter.
Reference architectures, policy frameworks, operating models, and vendor shortlists — always with a named owner, a target date, and a rollback plan.
Pilot, hire, integrate, and enable. We stay on until the capability is load-bearing and your team owns it — not a day longer.
Spark Agentic is a boutique advisory and implementation practice. We work with a small number of clients at a time so the work stays senior, opinionated, and close to the ground.
Twenty years across data, AI, and enterprise platforms — including hands-on Palantir Foundry and AIP delivery, BI modernization at Fortune-500 scale, and AI-native product development. Spark Agentic exists because the gap between what enterprise AI could do and what it actually delivers is mostly a gap of practitioners who have shipped, not advisors who have presented.
Every engagement is scoped, staffed, and run by a partner — not handed off.
30 minutes. No pitch deck. We'll talk about what you're trying to ship and whether we can help.