Analysts don't need more data. They need to know which 3 things out of 10,000 matter right now. Prism learns how your team makes decisions and surfaces the signal before they go looking for it.
See it in action
See It Work
A shift starts. Prism is already watching.
Scenario: Maritime domain awareness — a port security analyst begins their morning shift
prism — analyst workstation
MONITORING
Incoming Pulse Feed
0 events
Prism
Prism Brief — Start of Shift
Where It Fits
Prism sits between data and decisions.
CODL governs the data. Catalyst moves it securely. Pulse delivers it. Prism is the layer that answers: of everything that arrived, what does this analyst need to act on?
Exists
Pulse
Data arrives from sensors, feeds, and open sources
Exists
Catalyst
Secure mesh routing, edge-native, DDIL-ready
New
Prism
Learns decision patterns, filters noise to signal
Human
Analyst
Starts shift with a brief, not a firehose
Scaling Human Expertise
Our people are the product's secret weapon.
Consulting sells time. Prism sells expertise at scale. The flywheel: embed operators, earn trust, discover real problems, encode that knowledge into the system, move to the next client. Repeat.
Client Trust
👥
Embed
Deploy alongside the client
🔍
Discover
See real problems firsthand
🧠
Encode
Expertise becomes system baseline
🚀
Scale
Agent keeps learning after we leave
Why humans first
We need to know problems exist before we can fix them. A face-to-face embed earns trust, reveals undocumented workflows, and gives Prism the decision patterns no RFP would capture.
Why it compounds
Each deployment turns operator expertise into product IP, not billable hours. One engagement creates a capability that scales to clients we couldn't physically serve simultaneously.
The trust dividend
Clients who've worked with our people open up about real pain. Every problem we discover becomes a product opportunity. The flywheel accelerates itself.
Positioning
A different bet than Palantir.
They sell a platform you adopt. We sell a capability that adapts to you.
Palantir AIP
"We give you a brilliant platform."
General-purpose AI on a proprietary stack
Client adopts Palantir's data model and tooling
Palantir engineers configure the system
Heavy platform, cloud-dependent architecture
High lock-in at enterprise scale
Orbis Prism
"A capability that adapts to you."
Learns this team's specific decision patterns over time
Open standards via CODL — client retains full data ownership
Orbis operators encode real mission expertise
Edge-native, runs in DDIL via Catalyst mesh
Switching cost is cognitive, not contractual
Proof of Concept
Platform we build once. Configuration we tailor per client.
Not bespoke. A single product with a standardized learning framework, customized at the configuration layer — like a CRM configured per customer, not rebuilt.
Seeded by Orbis operators during embed phase. Encodes mission-specific patterns the system uses as its starting baseline.
CODL + Catalyst APIs
BUILD ONCE
Integration layer with existing Orbis stack. Ingests from Pulse feeds, routes through Catalyst mesh, respects CODL access controls.
Source Mappings
TAILOR
Per-client mappings to their specific Pulse feeds, data schemas, and security posture (air-gap, hybrid, or sovereign cloud).
Explainability Framework
BUILD ONCE
Every recommendation shows its reasoning chain. Non-negotiable for government procurement. The explanation IS the product.
Workflow Integration
TAILOR
How insights surface to analysts: shift briefs, real-time alerts, dashboard widgets. Adapted to each client's operational tempo.
This isn't a pivot. It's the product form of what we've always done.
Our operators understand how decisions get made in these environments. Today we sell that as consulting hours. Prism lets us encode it into software, deploy it inside client enclaves, and let it keep learning after we're gone. Each deployment earns trust. Each trust reveals problems. Each problem becomes product.