The AI Application Layer for your Palantir Operating System
Start Building
An inventory control tower that connects demand forecasts, safety stock levels, and PO schedules across every location. AI-driven recommendations flag excess stock, rebalance across sites, and adjust thresholds with projected savings attached to every action.
Excess inventory doesn't announce itself. It builds gradually across locations, obscured by forecast assumptions nobody has revisited and safety thresholds that made sense at a different volume. By the time it surfaces in a finance review, the working capital is already locked up. But the deeper problem is execution: most tools can identify the excess. Very few can do anything about it. A recommendation that can't reach your ERP, trigger a PO deferral, or notify a supplier is just another item on a list that someone has to manually action across three different systems before the stock moves anywhere.
Connects directly to your ERP, WMS, and demand planning tools so the platform adapts to your workflow not the other way round
An AI recommendation engine that identifies excess stock, cross-location imbalances, and at-risk SKUs before they become write-offs, with estimated working capital impact for every action
Every recommendation comes with a proposed execution path: purchase order deferrals, inter-location transfers, and supplier notifications that can be approved and sent directly from the platform
The same foundation extends to demand forecasting, supplier performance monitoring, and network-wide scenario planning as your deployment grows
A risk-stratified utilization review worklist that connects payer rules, clinical documentation, and review deadlines into one view. Auto-prioritises cases by denial risk, flags missing docs before deadlines, and cuts diligence time by 50–60%.
The data needed to risk-stratify a case lives across your EMR, payer portals, and clinical documentation with no shared schema. Every health system has different payer contracts, review timelines, and escalation criteria, and they change quarterly. Building a working rules engine means mapping all of that to your specific workflows. Generic tools skip this step, which is why adoption fails.
Shaped around your payer mix, review criteria, and escalation paths rather than a generic template
Weeks to a working system, not a multi-quarter implementation your team waits on
Plugs into your EMR and existing workflows so that your nurses don't learn a new tool
The same foundation we build extends to denial management, appeals tracking, and length-of-stay analytics
A safety impact response center that ingests FDA recalls, contamination alerts, sterility failures, and temperature excursions into one prioritised view. Automatically maps affected patients and cases, tracks containment status, and assigns response owners.
When a recall or contamination event hits, the response is a coordination problem across supply chain, clinical, pharmacy, and quality teams. Each team has different urgency, different information needs, and different systems. Mapping the blast radius (which patients, which units, which cases) requires logic that's specific to your supply chain structure and clinical workflows. Containment status has to be tracked in real time across teams that don't share a system. Most organisations run this on email chains and spreadsheets because no tool has encoded their actual response process.
Configured to your event taxonomy, escalation paths, and regulatory reporting requirements
Weeks to production, not a multi-quarter compliance program
Connects supply chain, surgical logs, and patient records to identify the blast radius
The same foundation extends to adverse event reporting, audit readiness, and root cause tracking
A margin analytics platform that decomposes gross-to-net across COGS, trade spend, freight, fulfillment, and deductions and isolates the primary cost driver behind every margin decline, and recommends corrective actions with estimated margin recovery per move. Recovers margin on underperforming SKUs within the first review cycle.
Allocating costs accurately to the right SKU, channel, and transaction is where every margin tool breaks down. Trade spend hits at the invoice level but needs attribution at the SKU level. Fulfillment costs differ by channel but most systems don't split them. Deductions get written off in bulk instead of disputed line by line. Building a true gross-to-net waterfall per SKU means defining allocation logic that matches how your business actually recognises cost and that logic is different for every retailer, every channel, and every category.
Mapped to your GL structure, channel mix, and trade spend logic, not a generic P&L template
Weeks to production, not a multi-quarter BI implementation
Every recommendation shows estimated margin impact at the SKU and category level
The same foundation extends to supplier negotiation, assortment analysis, and pricing analytics
.jpg)
A store-level workforce optimizer that scans demand signals, call-outs, BOPIS surges, and DC delays across your fleet. Flags at-risk stores by coverage gap, recommends rebalancing actions by role area, and generates approvable plans with overtime and cost impact attached.
Store coverage is a cascading tradeoff problem, not a staffing problem. Fixing one gap usually creates another: like pulling a floor associate to BOPIS drops cashier coverage, extending a shift triggers overtime. Every store has a different demand pattern, role mix, and set of constraints that change by the hour. Most workforce tools show you the gap but none resolve it.
Configured to your labour model, role certifications, and scheduling rules, not a generic template
Weeks to production, not a multi-quarter workforce management rollout
Recommendations account for overtime cost, associate preferences, and service level impact
The same foundation extends to labour forecasting, shrink correlation, and store clustering
.jpg)
A live risk command center that monitors VaR, concentration, drift, and factor exposures across your portfolio. Surfaces breaches as they happen, proposes trade-level rebalancing actions with estimated impact, and sends directly to your OMS.
Risk monitoring and portfolio execution have always lived in separate systems, owned by separate teams, on separate cadences. A VaR breach surfaces, someone exports it, writes up a recommendation, and routes it for approval. By the time a trade hits the OMS the market has moved. The deeper problem is that risk signals without trade context are just noise. Knowing your EM allocation is 1.1% over target doesn't tell you which sleeve to trim, what the Sharpe impact will be, or whether the fix creates a new problem elsewhere in the portfolio. That analysis has to happen automatically, against live positions, before anyone picks up the phone.
Connects directly to your OMS, risk engine, and position data so the platform adapts to your workflow and reflects your live book
A correlation engine that traces every breach back to its root driver, whether concentration, factor exposure, or drift, and proposes the minimum intervention needed to resolve it
Every risk alert opens into full context: stress scenario impact, allocation drift, factor exposures, and executable trade instructions in one view
The same foundation extends to regulatory reporting, investment committee packs, and intraday limit monitoring across your full fund range
.svg)
At Northslope we are all Forward Deployed Engineers. We believe that enduring software is built in the field, with operators, tackling problems that previously seemed impossible.
If you’re curious about the world, eat hard problems for breakfast, and want to see the impact of what you ship first hand, you’ll find your people here at Northslope.
The generational companies of the next century will run on mission-specific AI software that compounds their competitive advantage, not commoditized SaaS. We purpose-build production AI applications that enable our customers to operate at the speed, scale, and margins of an enterprise software company, in any industry.
Northslope is Palantir’s first and only Vanguard: Elite partner, reflecting Northslope’s expanding AI outcomes for customers on Palantir platforms.
Learn MoreWe work best with ambitious enterprises who think expansively about how to transform their business and their industry regardless of geography, industry, or stage. If that sounds like you, let’s build together.
Start Building