- contact@verticalserve.com
We’re a product-and-POD AI company. We ship enterprise AI products under the InsightLake brand, and we partner with Fortune 500 leaders through Innovation PODs that put production AI inside their environments — in weeks, not quarters.
VerticalServe was founded by the team behind AppBrick Inc., a VC-funded startup that helped publishers create interactive books and harvest reader insights on a big data platform. That work taught us how to ship data-intensive products fast — and how slow most enterprises are at adopting them.
We started VerticalServe to close that gap. Over the last decade we’ve worked with 50+ enterprises across Finance, Healthcare, Telecom, Retail, Energy, and the Public Sector — first on big data and cloud, then on ML, and now on AI and agents.
Today we ship 20+ AI products under the InsightLake brand, and our Innovation PODs use those products as accelerators to deliver production AI in 8–14 weeks.
Enterprise AI should be fast to ship, governed by default, and owned by the company running it — not the vendor selling it.
We exist to compress the distance between “interesting AI demo” and “system running in production, owned by your team.”
Products without delivery don’t land. Delivery without products is slow. We do both, and use one to accelerate the other.
Your cloud, your IAM, your data. We deploy our accelerators behind your perimeter so AI fits your security and compliance posture.
PODs are accountable for a measurable outcome — ROI, latency, accuracy, throughput. Hours are an input, not the product.
Evaluation harnesses, guardrails, observability, and audit trails are not features — they’re the floor for shipping enterprise AI.
PODs co-build with your engineers and leave runbooks behind. You own the system after we leave.
Our team is built from former founders, principal engineers, and data & ML leaders from social, retail, finance, and enterprise software. Every POD is led by a principal with 10+ years of relevant experience.
AI products shipped under InsightLake
Enterprise clients across 8 industries
Average POD lead engineering tenure
Certified on AWS, GCP, and Azure
See how we work — in long-form essays, deep technical whitepapers, and case studies from PODs in the wild.
Outcomes from POD engagements across finance, energy, and data modernization.
Browse case studiesDeep dives on enterprise AI architecture, governance, and platform design.
Read whitepapers