
The rhino platform
The enterprise logic layer for modernization
rhino.ai is the system of record for your business logic, and the layer that puts it to work, powering modernization and grounding the agents that run on it.

The enterprise logic crisis
Most enterprise AI failures in the next five years won't come from models. They'll come from contradictory business logic.
Every enterprise has a system of record for finance, code, and infrastructure. None has one for the rules that run the business. A real one is canonical, governed, traceable, and consumable.
The rhino platform
The enterprise logic layer for modernization
Extract: surface hidden logic from legacy code, SaaS, ERP configuration, workflows, and documents.
Structure: organize it into a version-controlled logic graph with full lineage and traceability.
Govern: hold it as the system of record, then feed it to migrations and ground AI agents, so they act on the real rules.

Why rhino
You cannot modernize what you do not understand
Works across any stack
Reads your systems whatever they're built in, from modern languages to packaged SaaS and the mainframe, and connects them as one.
Grounded & auditable
Every output traces to source with a confidence score. Built for hallucination risk in regulated environments.
Built for the largest estates
Analyzes tens of millions of lines into one connected model, with domain-level focus when you want it.
AI plus determinism
Blends deterministic parsing with AI, applying each where it's strongest, for accurate results at lower cost.
Use cases
One platform, six modernization patterns
Every motion stalls on invisible business logic. rhino extracts it, governs it, and feeds it to migrations and agents.

01
SaaS modernization & replatform
Migrate legacy modules and apps to modern languages and cloud-native platforms.

02
SaaS to open source
Exit proprietary platforms and regenerate the logic on a stack you own.

03
Portfolio rationalization
Map what every application does, then retire, consolidate, or modernize with evidence.

04
Monolith to microservices
Map every embedded rule before rewrite, and decompose with no logic lost.

05
Process to agents
Expose governed logic so AI agents act on enterprise processes, with provenance.

06
Services automation
Agents generate specs, test scripts, training, and validation to your team's standards.
Why rhino
You cannot modernize what you do not understand
The platform is built for the hard part: making sense of decades of logic across stacks no one can fully see into.
Top-tier US investment bank
500+
Workflows rationalized in nine months, against an eighteen-month scope.
Source: The Enterprise Logic Crisis, rhino × AWS, 2026
Global financial institution
800+
Legacy applications and processes transformed into cloud-native architectures in under a year.
Financial services engagement
KPMG · government modernization
60%
Less time spent on application discovery, using the modernization solution KPMG co-developed on the rhino platform.
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Federal agency
60%
Faster planning and lower total cost of ownership, modernizing to open-source microservices.
Public sector engagement
Governed-logic programs
58%
Average cost reduction across modernization programs built on a governed logic layer.
Source: rhino × AWS, 2026
HFS Research
2026
Market leader in HFS Horizons: Agentic Technology; prior Horizon 2 Innovator in legacy modernization.
Industry analyst recognition
By the numbers
Measurable impact
What Clients Say
"rhino.ai uses AI to rapidly surface detailed insight from our legacy systems. By revealing hidden business logic, functionality, and workflows, rhino.ai enables Koch companies to modernize applications on AWS faster and more confidently, improving performance, reliability, and cost efficiency in the cloud."
Tanner Gonzalez, Director, Koch Labs




