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VerticalServe is a product-and-POD AI company. We build production-grade AI platforms — RAG, agents, copilots, LLMOps — and partner with enterprises through Innovation PODs: dedicated, outcome-driven teams that turn ideas into running systems inside your environment.
Pick a ready-to-deploy AI product from the InsightLake suite, or stand up an Innovation POD that builds inside your environment alongside your team.
20+ AI-native products across data, search, agents, governance, and domain solutions for insurance, retail, healthcare, finance, and ad tech.
Browse all products4–8 senior engineers, product, and ML talent. Fixed scope or flexible credits. From discovery to production in a single 12-week sprint.
How PODs workThe InsightLake suite — AI-native building blocks for search, agents, RAG, observability, data, and governance. Deploy in your cloud or on-prem.
Enterprise AI assistant with specialized agents for productivity, automation, and simulations.
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AI-driven search across Outlook, SharePoint, JIRA, Confluence, Slack, Git, ServiceNow, and more.
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Build simple & advanced RAG systems with metadata management, guardrails, and SQL engines.
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Discover how comprehensive LLM tracing transforms AI operations and security
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Low-code/no-code workflow engine for agents, data, ML and AI pipelines across clouds.
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Automate fast migrations of databases, Kafka, workloads, and automated validation.
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Enterprise AI data catalog for metadata search across databases, streams, workflows, and BI.
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Intelligent agentic information pipelines for document processing and data extraction.
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Industry & company analysis with financials, leadership, news, and 360° insights.
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Generate synthetic CSV, docs (PDF/DOCX/TXT), AVRO, Protobuf, JSON, and real-time streams.
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Monitor data access, enforce tokenization policies, and protect against data leaks.
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Enterprise AI prompt management platform with governance, testing, and certified prompt registry.
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AI engineer that turns plain-English instructions into governed workflows, runs them, and reports back — CLI, desktop, and VS Code.
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Enterprise app marketplace where business teams build AI apps in the browser and teammates request access Okta-style — deployed in your environment.
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AI-native QA platform: paste a brief, the bench crawls every page, generates 70–100 grounded test cases, runs nightly, and turns confirmed bugs into pull requests.
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End-to-end framework for building domain-specific SLMs and LLMs — curate, synthesize, fine-tune Qwen / Llama / Mistral / Phi, evaluate, deploy and manage, all inside your environment.
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Industry-specific AI-powered applications built for domain experts across insurance, retail, healthcare, finance, and advertising.
AI-powered underwriting document intelligence and automated risk detection for insurance.
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AI-powered retail intelligence for shopper analytics, merchandising, and supply chain.
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AI-powered genomic variant classification with ACMG/AMP pipeline and clinical-grade reports.
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Agentic AI tax intelligence with risk scoring, e-invoicing, and transfer pricing analytics.
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AI-powered portfolio fund intelligence with Fund 360 views, peer comparison, and drift detection.
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AI-powered media intelligence for multi-channel campaign analytics and ROAS optimization.
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Nine specialised capability areas. Pick one or compose a custom POD across several. Every engagement is led by a principal with 10+ years of relevant experience.
From problem framing to production. RAG, agents, copilots, fine-tuning, evaluation, and MLOps.
AWS, GCP, Azure landing zones, migration, and FinOps — ready for AI workloads.
Lakehouse, warehouse, and streaming designs that AI workloads can actually rely on.
Semantic models, governance, and AI-augmented analytics across the major BI tools.
Infrastructure as code, CI/CD, GitOps — the plumbing AI teams ship on without firefighting.
Cloud security, tokenization, PCI / HIPAA, and DLP designed to fit AI workflows.
Catalogs, lineage, quality, MDM, and model governance for regulated AI programs.
Microservices, domain-driven architecture, and API gateways — where AI features live.
Chatbots, agents, test automation, RPA — agentic workflows that replace tickets, not roles.
A POD is a small, senior, cross-functional squad embedded with your team for a fixed sprint. We bring playbooks, accelerators, and our own AI products — you bring the domain.
Ship a production copilot, RAG system, or agent platform on your data, in your environment.
Modernize event streaming — assess, build, migrate, or operate Kafka and Flink at enterprise scale.
Underwriting and claims modernization with AI — LOB-specific accelerators on top of InsightUW.
Consumer-facing and productivity AI apps built on the same VerticalServe stack.
Build a personalized kids story with them as heros
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AI powered personalized tutor and learning
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Perfecting resumes right for every role
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Hire, Train & Manage Talents easily
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AI powered Timesheet management
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AI Driven Simplified Task Management
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AI-powered media intelligence for multi-channel campaign analytics and ROAS optimization.
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AI-powered media intelligence for multi-channel campaign analytics and ROAS optimization.
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AI-powered Kafka health checks with automated cluster assessment and optimization
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AI-first scheduling platform with smart links, natural language booking, and calendar sync
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A snapshot of AI, data, and cloud engagements delivered for Fortune 500 leaders. The full library lives on the Case Studies page, and deeper write-ups are on our blog and in our whitepapers.
We operate as an extension of leading cloud and platform teams — building, deploying, and operating production AI on AWS, GCP, Azure, Confluent, Cloudera, Matillion, and Automation Anywhere.







Over the past decade we’ve delivered for 50+ enterprise clients in retail, finance, healthcare, technology, telecom, utilities, ad tech, and the public sector.
Three commercial models, one delivery model. Pick the one that fits your stage and budget — from predictable fixed-outcome PODs to flexible always-on credits.
One price for the outcome and the 12-week sprint.
Pay for the team week by week as scope evolves.
A pre-purchased pool of POD capacity drawn down across the year.
Not sure which model fits? Talk to us →