About · Raava Solutions

We've built these systems before.

A team of Palantir Foundry engineers, AI specialists, and architects who have spent years inside organizations where these systems run at scale. That experience is Raava.

Approach

The method is the difference.

Every engagement follows the same discipline: understand the business first, then design and build systems that fit.

01

Understand the Business

We start by mapping how your business actually runs. The workflows, data, and decision points, not how they're documented. Everything else is built on that foundation.

02

Design the System

Architecture decisions driven by the problem, not by vendor preferences or trends. We choose what to build, what to integrate, and what to leave alone.

03

Build and Hand Off

Production systems shipped iteratively, with your team building alongside ours. The handoff leaves your team with everything it needs to run, maintain, and extend the work.

Delivery Track Record

What the team has shipped.

Collectively, our engineers have shipped 0+ systems across 0+ industries. All direct, hands-on delivery, not advisory work.

Enterprise Analytics & Decision Platform

National Grocery Retailer

Foundry-native analytics and decision platform enabling data-driven decision-making across site strategy, network operations, and commercial planning.

Foundry ImplementationOSDK DevelopmentExecutive Intelligence

Supply Chain Planning Intelligence

Global Consumer Goods Manufacturer

Exception management and alerting system enabling operations teams to configure business rules and act on deviations without engineering dependency.

SGOEAlertingSupply Chain Planning

Asset Management 360 Decision Platform

Industrial Imaging & Asset Intelligence, B2B

Multi-tenant asset intelligence platform with AI-driven condition assessment, compliance analysis, and capital planning tools.

AI VisionCapital PlanningMulti-Tenant

Claims Coding Decision Automation

Healthcare Solutions Provider

Clinical decision support platform with rules-based logic, confidence scoring, and feedback loop architecture for ML-driven classification.

Decision LogicML EnablementHealthcare
Standards

Three standards every engagement clears.

What ships, who ships it, and what success looks like.

01

Software, not slides.

Every engagement produces a working system your team can use, not a slide deck about it.

02

Engineers, not account managers.

The same engineers lead every engagement, from scoping through handoff.

03

Outcomes defined, not assumed.

If we can't define what success looks like, we don't start.

Book a discovery call.

We'll walk through the problem and tell you directly whether we're the right fit.