Production-readiness diagnostic
Find the gaps that keep an AI initiative in pilot mode and turn them into a sequenced delivery plan.
- Workflow and system mapping
- Data, security, and operating-cost review
- Success metrics and production roadmap
AI systems that make it to production
Turn the stalled AI pilot into a working system.
Soriden helps teams connect models to real data, tools, and operations—then ship with the evaluation, security, and observability production demands.
From prototype to operating capability.
Engagements begin by bounding the business problem and the production risk—then move into delivery with measurable acceptance criteria.
Agent & MCP build
Build a focused AI agent that can use enterprise tools safely—not another disconnected chat interface.
- Custom MCP servers and tool integration
- Evaluation harness and regression set
- Authorization, audit trail, and deployment
AI platform modernization
Strengthen the data and infrastructure layer so AI products can scale, recover, and stay observable.
- Spark and Databricks data platforms
- Kubernetes and cloud architecture
- Monitoring, reliability, and cost control
Experience at production scale
Built in the environments where details matter.
Principal-level delivery across enterprise AI, distributed data platforms, real-time systems, and search—with direct ownership from architecture through operations.
<10 minfor an agent-driven analytics workflow that previously took about three weeks
20+ TB/dayprocessed across more than 50 production data pipelines
~600K/secevents handled by real-time streaming platforms
~$950K/yrin infrastructure and operational savings delivered
A delivery-first approach
Clear scope. Working system. Clean handoff.
The work is designed around production outcomes, not an open-ended stream of advice.
Frame the outcome
Define one valuable workflow, its owner, operating constraints, and the evidence that proves it works.
De-risk the path
Test data access, integration boundaries, permissions, evaluation, and run cost before expanding scope.
Build for operation
Ship the agent or platform with observability, controls, failure handling, and documented deployment.
Transfer capability
Leave the team with runbooks, architecture, test assets, and the knowledge to own what was built.
Principal-led delivery
Deep platform experience, applied to the new AI stack.
Founded by Hailong Wang, PhD, Soriden brings two decades of software engineering experience across AI platforms, enterprise search, distributed systems, healthcare technology, and large-scale data infrastructure. Every engagement is led hands-on—from system design and code to deployment and operational readiness.
AI AgentsMCPLLM ApplicationsApache SparkDatabricksKubernetesAWSPythonJavaTerraformKinesisRedis
Have a pilot that needs a production path?
Bring the workflow, the blockers, and the business target. We’ll start there.