Three jobs, one platform
What software vendors use rhino.ai for
Industrialize services
Build the migration once and deliver it across every customer and product line, lifting services margin.
Move your install base to cloud
Migrate laggard customers onto your cloud product faster, which drives your own recurring revenue and consumption.
Modernize your own product
Surface the logic in your aging product and forward-engineer it onto a cloud-native, AI-ready stack.
The services squeeze
Demand you can't deliver against
Your customers want the latest features and AI. Your delivery model can't move fast enough.
Customers want off legacy
They want the modern or cloud product, the latest features, and AI functionality.
Services can't keep up
Implementations are long and labor-heavy. The legacy backlog grows.
Margins compress
Services margin is under pressure, with no way to automate delivery.
Rivals win on speed
AI-native competitors take deals on implementation time and cost.
The delivery model
Build once. Deliver everywhere.
An end-to-end modernization engine on the rhino platform. Scoped and repeatable, never open-ended.
01
Discover
Extract the business logic across the product line's estate.
02
Gap analysis
Map current logic to the target product and architecture.
03
Build
Forward-engineer the migration solution once, on the platform.
04
Deploy
Your services teams roll it out across the installed base, each one faster.
A re-imagined delivery model
Rebuilt around AI, not bolted on
Three shifts separate the new model from automating the old way of working.
Principle 1
Agent-led delivery
Agents do the heavy lifting; your people supervise and focus on the customer. Learning compounds with every project.
Principle 2
Engage earlier
Understand the system up front and parallelize what used to sit on the critical path. Faster decisions, fewer surprises.
Principle 3
Compress the cycle
Pair early understanding with rapid configuration, so requirements and validation stop running in long, separate passes.
Swim lanes
Multiple product lines. One platform across all of them.
You don't have one migration. You have several, across product lines acquired and built over decades. The platform handles each swim lane.
Prove one product line, then expand across the rest of the portfolio and the customers behind them.
Each lane runs the same model. Prove one, scale the rest.
The services squeeze
Demand you can't deliver against
Your customers want the latest features and AI. Your delivery model can't move fast enough.
50%+
Reduction in implementation effort
Faster
Delivery cycles, with fewer change orders
Freed
Services capacity for higher-value work
Higher
Win rate and conversion on cloud migrations
Distribution that compounds
From rhino-led to your teams in the driver's seat
Stage 1
rhino-led, rhino-delivered
We prove the motion on a product line with a large installed base.
Stage 2
Partner-led, rhino-delivered
Your team sources the work; we deliver the migration.
Stage 3
Your teams deliver
Your services org delivers at scale with rhino's platform and IP underneath, the most scalable model.