# Dataworkz > Dataworkz is an enterprise agentic AI platform. It turns any workflow into a governed AI agent in days — one that makes the same decision every run, carries a measurable ROI ("ROI per Agent"), and runs with the security, lineage, and audit controls regulated enterprises require, on your own data. ## What Dataworkz Does Dataworkz lets enterprises put production AI agents on their own data, across the systems their teams already run. One platform supplies the connectors, AI-optimized retrieval, an agentic framework, and managed agent operations, so teams ship agents from prototype to production with the governance, observability, and deployment model their security and compliance functions sign off on. Used across financial services, life sciences, and manufacturing. ## Key Facts - Company: Dataworkz Inc. - Website: https://www.dataworkz.com - Platform type: Enterprise agentic AI - Deployment options: managed SaaS, dedicated, or in your own VPC - Security: SOC 2 Type II, CASA Tier 2, chunk-level RBAC, an audit trail for every agent decision, encryption in transit and at rest - Differentiators: production agents on your governed enterprise data; ROI per Agent (every agent carries a dollar value); 100+ connectors across the systems teams already run; bring your own LLM, vector store, and embedding model; agents run with regulator-ready lineage and per-decision audit trails ## Start Here - [Dataworkz Home](https://www.dataworkz.com/): What the platform does, the agents enterprises run on it today, and where a team starts. ## Platform - [Platform](https://www.dataworkz.com/platform/): Connectors, AI-optimized retrieval, an agentic framework, and managed ops in one platform for deploying agentic AI across business functions on your enterprise data. - [Architecture](https://www.dataworkz.com/platform/architecture/): Inside the stack, layer by layer, connectors, AI-optimized extraction and retrieval, the agentic AI framework, and managed agent ops from prototype to production. - [Deployments](https://www.dataworkz.com/platform/deployments/): Three deployment shapes on one platform, managed SaaS, dedicated, or inside your own VPC, to match your security posture. - [Security](https://www.dataworkz.com/security/): SOC 2 Type II, chunk-level RBAC, an audit trail for every agent decision, and encryption in transit and at rest, across every workload. - [Pricing](https://www.dataworkz.com/pricing/): Simple, transparent pricing, start with the agents your team needs and scale across workflows. ## Agents - [Agent Library](https://www.dataworkz.com/agents/): Fourteen production-ready AI agents across knowledge retrieval, document intelligence, compliance, agentic pipelines, IT ops, and engineering productivity. - [Advisor Knowledge](https://www.dataworkz.com/agents/advisor-knowledge/): Surfaces sourced, access-controlled answers from your content so every advisor has senior-level knowledge in seconds. - [Enterprise Retrieval](https://www.dataworkz.com/agents/enterprise-retrieval/): Answers from HR, ops, support, finance, and R&D data in one search, with access controls intact. - [Invoice Validation](https://www.dataworkz.com/agents/invoice-validation/): Reconciles invoices against contracts and POs, flags breaks, and routes exceptions for review. - [Invoice Intake](https://www.dataworkz.com/agents/invoice-intake/): Extracts, structures, and validates every invoice so AP teams review instead of rekeying. - [COBOL & Mainframe Analysis](https://www.dataworkz.com/agents/cobol-analysis/): Reads legacy COBOL code and data, explains logic, and maps dependencies for modernization. - [Change Documentation](https://www.dataworkz.com/agents/change-documentation/): Drafts complete, audit-ready change-control records from your systems of record. - [Data Lineage Documentation](https://www.dataworkz.com/agents/lineage-documentation/): Traces pipelines end to end and generates regulator-ready lineage automatically. - [Call Deflection](https://www.dataworkz.com/agents/call-deflection/): Resolves common contact-center requests end to end and escalates only what needs a human. - [Spark Generation](https://www.dataworkz.com/agents/spark-generation/): Writes, tests, and tunes Spark pipelines from a plain-English description of the job. - [Break Reconciliation](https://www.dataworkz.com/agents/break-reconciliation/): Matches trades, investigates exceptions, and proposes fixes so securities breaks resolve before settlement fails. - [IT Service Automation](https://www.dataworkz.com/agents/service-automation/): Handles password resets, software installs, and access requests end to end, without a human. - [API Scaffolding](https://www.dataworkz.com/agents/api-scaffolding/): Generates production-ready Spring Boot services, endpoints, and tests to your conventions from a table list. - [Test Generation](https://www.dataworkz.com/agents/test-generation/): Records a UI flow once and returns a maintainable BDD end-to-end test suite. - [MCP Server Validation](https://www.dataworkz.com/agents/mcp-validation/): Tests MCP tools, schemas, and responses on every commit so MCP servers ship safely. ## Solutions - [Financial Services](https://www.dataworkz.com/solutions/financial-services/): Agentic AI for financial services and capital markets, advisor enablement, regulatory lineage, and operations agents on your governed data. - [Life Sciences](https://www.dataworkz.com/solutions/life-sciences/): Production agents on R&D, clinical, and regulatory data with the lineage and controls your auditors expect. - [Manufacturing & Supply Chain](https://www.dataworkz.com/solutions/manufacturing/): IT requests resolved in minutes, change control without the paperwork, and vendor invoices reconciled automatically. - [Data & Analytics Leaders](https://www.dataworkz.com/solutions/data-analytics-leaders/): Production agents on your enterprise data, across the systems your team runs and the lineage they maintain. - [Engineering Leaders](https://www.dataworkz.com/solutions/engineering-leaders/): Clears change control, test, and documentation backlogs so engineering teams ship faster, safely. - [AI/ML Engineering Managers](https://www.dataworkz.com/solutions/ai-ml-managers/): The eval, observability, connectors, and governance to take in-house agentic AI from stalled prototype to production. ## Customers - [Customer Stories](https://www.dataworkz.com/customers/): How enterprises run Dataworkz agents in production across financial services, life sciences, media, and healthcare. - [Fortune 200 Financial Services](https://www.dataworkz.com/customers/fortune-200-fs/): 200+ agents in production on one platform, across advisor enablement, regulatory lineage, and operations. - [Stagwell (GraphRAG)](https://www.dataworkz.com/customers/stagwell/): Stagwell Marketing Cloud rebuilt media intelligence on a Dataworkz GraphRAG pipeline, processing a million articles a day. - [Life Sciences Healthtech](https://www.dataworkz.com/customers/life-sciences/): A healthtech startup replaced Alteryx with Dataworkz and processed a billion rows of claims data in under two hours. - [Medical Equipment Retailer](https://www.dataworkz.com/customers/medical-equipment/): L1 support lifted to senior level in under a week, cutting MTTR by 30% with Dataworkz agents. - [Healthcare Insights Automation](https://www.dataworkz.com/customers/healthcare-insights/): 300+ steps automated, processing new data in two days instead of six weeks. - [Stagwell — Media Intelligence at Scale](https://www.dataworkz.com/customers/media-marketing/): The same Stagwell Marketing Cloud engagement viewed at throughput scale — 800K articles per run and 60% less processing time. - [Financial Advisor Intelligence](https://www.dataworkz.com/customers/financial-services/): A Fortune 500 financial services firm scaled advisor intelligence on Dataworkz with MongoDB Atlas Vector Search. ## Blog - [Blog](https://www.dataworkz.com/blog/): Field notes from production, engineering, architecture, and lessons on building enterprise agentic AI, RAG, and GraphRAG. - [What Is an Agentic AI Platform?](https://www.dataworkz.com/blog/what-is-an-agentic-ai-platform/): What sits inside an agentic AI platform, how it differs from RPA and copilots, and how to evaluate one for the enterprise. - [Build vs Buy AI Agents](https://www.dataworkz.com/blog/build-vs-buy-ai-agents/): Why the decision belongs per workflow, not per company: buy the shared foundation, build the ten percent that is genuinely yours. - [The Auditable AI Agents Framework](https://www.dataworkz.com/blog/the-auditable-ai-agents-framework/): In regulated enterprises auditability, not autonomy, decides which agents reach production. Five questions an agent has to answer. - [Agentic RAG vs Vectorless Retrieval Benchmark](https://www.dataworkz.com/blog/agentic-rag-vs-vectorless-retrieval-benchmark/): Vector-indexed retrieval run against a vectorless agent on the same 326-document corpus and 25 questions, with the accuracy, token, and cost results. - [Reasoned Plan vs Deterministic Plan](https://www.dataworkz.com/blog/reasoned-plan-vs-deterministic-plan/): Two ways an agent's plan gets fixed, reasoned live by the model or written once as a program you can read, and when each belongs in production. ## More - [Partners](https://www.dataworkz.com/partners/): Technology and implementation partners that extend the platform across your stack. - [MongoDB](https://www.dataworkz.com/mongodb/): The Dataworkz and MongoDB partnership, agentic RAG on MongoDB Atlas Vector Search, with joint demos, sessions, and sample applications. - [Privacy Policy](https://www.dataworkz.com/privacy-policy/): How Dataworkz collects, uses, and protects personal information across its website and services. - [SaaS Service Agreement](https://www.dataworkz.com/saas-service-agreement/): The terms governing use of the Dataworkz platform as a subscribed service.