Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
Connect legacy mainframes, ERPs, CRMs, and modern microservices using high-throughput event buses, Apache Kafka, and standardized API gateways.
Common obstacles that prevent enterprises from realizing the full value of AI initiatives.
Direct API connections between legacy systems lead to cascading failures and downtime.
Core capabilities that enable production-grade AI systems with enterprise governance.
Distributed event streaming platforms with Schema Registry and dead-letter queues.
Centralized OAuth2 tokens, rate limiting, and request transformation.
Apache Kafka event backbone, Schema Registry, event-driven microservices, and CDC (Change Data Capture) connectors.
The tools and platforms we use to deliver production-grade AI systems.
Integration framework.
Catalog enterprise domain events and message schemas.
Deploy Kafka clusters with automated schema validation.
Implement Change Data Capture (CDC) pipelines from legacy databases.
Measurable results that drive enterprise value from AI initiatives.
Real-time message routing across enterprise microservices.
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Real-world examples of how we've delivered AI solutions for enterprise clients.
Global Bank • Financial Services • 8 Months
Batch processing delays prevented instant transaction notifications.
Kafka-based event mesh with Debezium Change Data Capture.
Sub-second real-time alert notifications for 14M+ active accounts.
Common questions about our AI Engineering practice and approach.
We use Change Data Capture (CDC) and event wrapper microservices to stream mainframe transactions without heavy system refactoring.
Let's discuss how our engineering practices can accelerate your business outcomes.
