- contact@verticalserve.com
Document & data lifecycle management with an AI-native model farm — for regulated enterprises that need to extract, classify, and govern documents at scale. Part of the InsightLake suite by VerticalServe.
VerticalServe was founded by the team behind AppBrick Inc., a VC-funded startup that helped publishers build 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, Insurance, Telecom, Retail, Energy, and the Public Sector — first on big data and cloud, then on ML, and now on AI and agents.
InsightDLM grew out of that work. Every regulated customer had the same problem: a long tail of documents — contracts, forms, claims files, policies — that legacy OCR couldn’t handle and human teams couldn’t scale. We built the model farm to fix that, and packaged it as one of 20+ AI products under the InsightLake brand.
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.” InsightDLM is how regulated teams get there for document-centric workflows.
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. The model farm deploys behind your perimeter so the document pipeline fits your security and compliance posture.
A generic OCR pipeline fails on the documents that actually matter. The model farm learns per document family — classify, extract, validate — and improves with feedback.
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 InsightDLM in action, browse the industry use cases, or scope a deployment with our team.
Banking, healthcare, insurance, legal, manufacturing, public sector, retail, telecom.
Browse industriesBrowse the full family of AI-native enterprise products — what composes with InsightDLM.
Explore the suite