Infinize on AWS
Infinize is a Higher-Ed SaaS platform hosted on AWS. It brings together governed data pipelines, a secure lakehouse, Campus360 analytics, Universal Assistant, Amazon Bedrock-powered GenAI, and AI agents in one platform that supports the full student journey.
Higher-Ed data lakehouse with near real-time refresh
Campus360 analytics and predictive intelligence
Universal Assistant with governed AI agents
Amazon Bedrock-based GenAI orchestration
RBAC, auditability, and human-in-the-loop controls
One SaaS platform for recruitment through career outcomes
The product stack institutions buy, not a set of disconnected tools
Infinize combines a governed data foundation, an intelligence layer, and student-facing and staff-facing applications in one platform on AWS.
Unified Data Hub
A secure lakehouse that unifies SIS, LMS, CRM, ERP, web, and engagement data into one governed source of truth with near real-time pipelines.
Campus360 Insights
Role-based dashboards, predictive models, and natural-language analytics that turn fresh institutional data into operational visibility and action.
Universal Assistant
Evidence-backed conversational AI with agents that can answer questions, guide users, and complete approved tasks across the student journey.
One platform across recruitment, retention, and career outcomes
Every solution runs on the same AWS-hosted platform, the same data foundation, and the same governance model.
Recruitment & Admissions
Academic Success & Retention
Career Development
Data, AI, and governance in one AWS-native platform
Infinize is a full SaaS architecture for governed data pipelines, lakehouse analytics, GenAI, assistants, and AI agents.
Data pipelines and lakehouse foundation
Infinize runs on AWS with near real-time ingestion pipelines, a normalized common data model, and a lakehouse architecture built for analytics, personalization, and AI activation.
GenAI on Amazon Bedrock
Amazon Bedrock provides the GenAI model layer for grounded responses, orchestration, guardrails, and controlled access to foundation models inside the AWS boundary.
AI agents and workflow automation
Task agents operate on top of governed data and policy constraints so the platform can move from answering questions to taking approved actions with full traceability.
Data and AI governance
Role-based access control, audit trails, prompt and model oversight, human-in-the-loop approval paths, and policy enforcement are built into the platform from day one.
AWS services across every layer of the platform
Infinize uses AWS services exclusively across compute, storage, networking, AI, security, and observability.
AWS-native application platform
The application, APIs, orchestration, and background services run on AWS-native foundations designed for scale, resilience, and operational consistency.
Storage, lake, and analytics
Institutional data, governed datasets, feature layers, and analytics workloads stay inside AWS-backed storage and data services.
Security, identity, and isolation
Encryption, least-privilege access, tenant isolation, network controls, and auditing are enforced within the AWS environment that hosts the SaaS platform.
AI platform services
The AI stack uses AWS services for model access, orchestration, observability, and policy enforcement so data and AI stay inside one cloud boundary.
Integration and connectivity
Campus systems connect into the platform through secure AWS networking and service integration patterns that support continuous data movement and controlled access.
Monitoring and governance
Operational monitoring, logs, alerts, audit records, and governance workflows support reliability, compliance review, and platform accountability.
How institutions go live on Infinize
Connect institutional systems
Source systems feed the Unified Data Hub through governed AWS-based pipelines so the platform starts from fresh, trusted institutional data.
Activate intelligence and AI
Campus360 Insights, Bedrock-powered GenAI, and Universal Assistant use the same governed data layer to drive analytics, recommendations, and agent workflows.
Scale outcomes across use cases
Institutions deploy solution workflows across enrollment, advising, retention, and career readiness without adding separate data or AI stacks.
Want to review Infinize on AWS with your team?
We can walk through the product stack, the AWS architecture, the governed data and AI foundation, and how Infinize supports enrollment, student success, and career outcomes in one platform.