AI systems that make it to production
Soriden helps teams connect models to real data, tools, and operations—then ship with the evaluation, security, and observability production demands.
Engagements begin by bounding the business problem and the production risk—then move into delivery with measurable acceptance criteria.
Find the gaps that keep an AI initiative in pilot mode and turn them into a sequenced delivery plan.
From $7,500
Build a focused AI agent that can use enterprise tools safely—not another disconnected chat interface.
From $40K
Strengthen the data and infrastructure layer so AI products can scale, recover, and stay observable.
From $25K4-week sprint, or $10K/mo on an ongoing retainer
Experience at production scale
Principal-level delivery across enterprise AI, distributed data platforms, real-time systems, and search—with direct ownership from architecture through operations.
A delivery-first approach
The work is designed around production outcomes, not an open-ended stream of advice.
Define one valuable workflow, its owner, operating constraints, and the evidence that proves it works.
Test data access, integration boundaries, permissions, evaluation, and run cost before expanding scope.
Ship the agent or platform with observability, controls, failure handling, and documented deployment.
Leave the team with runbooks, architecture, test assets, and the knowledge to own what was built.
Principal-led delivery
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.
Bring the workflow, the blockers, and the business target. We’ll start there.