What is an AI Data Gateway?
DreamFactory is an AI data gateway that sits between your AI workloads, applications, and enterprise data, standardizing how everything connects while keeping control inside your environment.
AI Data Governance
Enterprise‑grade AI data governance, compliance, and security at the data API edge
Standard API Layer
Standard API layer for all your data, across databases, file stores, and legacy systems
API Gateway Functionality
Stable and reliable API gateway functionality for routing, traffic management, and observability
On Premise Deployment & Integration
Flexible on prem deployment that works stand‑alone or with your current infrastructure
Increased AI Developer Productivity
Do more with the AI development team you have with centralized data access, auth, and operational concerns
Enterprise AI Architectures
Support for multiple enterprise AI architectures, from MPC, to agents, local LLMs, RAG, and more
AI Data Governance, Compliance, and Security
The AI data gateway becomes your governed front door for all AI and application access to enterprise data, enforcing security and compliance policies at the data API edge. Instead of letting prototypes and AI agents connect directly to databases or use opaque connectors, every call passes through one self‑hosted layer that handles auth, authorization, and threat protection.
Central policy engine
One place to define and enforce AI data governance and access rules
Identity federation
OAuth, OIDC, SAML, LDAP/AD, and SSO mapped into data‑level permissions
Fine‑grained controls
Role, attribute, field, and row‑level protections for sensitive data
Threat protection
SQL injection prevention, request validation, CORS, and network‑aware controls
Audit and visibility
Unified logs and analytics for AI and app access to governed data APIs
Standard API Layer for All Your Data
The AI data gateway creates a standard API layer over databases, warehouses, file stores, SaaS apps, and legacy systems, so AI agents and applications all see one consistent interface. This removes connector sprawl and duplicated data access logic by auto‑generating REST APIs and centralizing shared business rules at the gateway.
Auto API generation from any data source
Automatic REST endpoints from schemas and services across data sources
Consistent contracts
Standard URL, verb, auth, and error patterns regardless of underlying system
Shared logic layer
Central transformations, validations, and policies instead of scattered in apps
Legacy enablement
Wrap SQL, NoSQL, SOAP, files, and IoT protocols as modern, governed APIs
Reuse for AI and apps
Same API layer serving human‑facing applications and AI workloads
Stable and Reliable API Gateway Functionality
As an AI data gateway, DreamFactory provides the core API gateway capabilities you need to keep data access stable and observable in production. AI and application traffic flows through one layer where you can shape, route, and monitor requests without modifying back‑end services.
Smart request routing
Reverse proxying, path‑based routing, and URL rewriting for backend services
Resilience features
Health checks, load balancing, and failover for high‑availability data APIs
Traffic management
Rate limiting, throttling, quotas, and request size limits for AI and applications
Edge transformations
Request/response transformations and schema‑level validation at the gateway
Central observability
Analytics on usage, latency, and errors across all governed REST endpoints
Flexible On Premise Deployment & Integration
The AI data gateway is self‑hosted, running inside your own infrastructure so your security and compliance policies define the rules, not a vendor’s SaaS. You deploy it where your systems live—on‑prem, private cloud, hybrid, or edge—and integrate it alongside existing gateways and platforms.
On‑prem and private cloud
Linux, VMs, containers, and Kubernetes in your own environments
Air‑gapped ready
Operation in networks without direct internet connectivity for regulated sectors
Hybrid and multi‑cloud
One logical gateway spanning on‑prem and multiple cloud providers
Edge deployment
Place the data API layer close to plants, branches, or devices when needed
Works with your stack
Integrates alongside existing other API gateways, service meshes, and security tooling
Do More With the AI Development Team You Have
The AI data gateway accelerates your AI and application roadmap by offloading data access, auth, and operational concerns to a dedicated, self‑hosted platform. Developers stop re‑implementing the same plumbing and instead consume governed, documented APIs that are ready for production and AI use.
Faster time to value
Generate production‑ready APIs over existing systems in minutes
Built‑in testing hooks
Performance, load, and security tests using the same gateway that runs in prod
Reduced boilerplate
Standardized patterns for data access, auth, and traffic management
Documentation by default
Auto‑generated OpenAPI/Swagger for every data API
Support for AI workflows
APIs designed to be consumed by LLMs, agents, and orchestration frameworks
Support for Multiple Enterprise AI Architectures
The DreamFactory AI data gateway supports multiple enterprise AI architectures—agentic AI and MCP, deterministic workflows, local LLMs, and RAG—through the same governed data layer. Instead of rebuilding data integrations for each new AI pattern, you reuse the same APIs and security policies while changing only the AI layer on top.
Agentic AI and MCP
MCP‑backed tools where agents can query and update systems under policy
Deterministic workflows
Rule‑based API calls and stored procedures for regulated use cases
Local and on‑prem LLMs
Governed data access for models running on Ollama, DGX, and similar stacks
RAG and retrieval
Structured and unstructured data access patterns for retrieval‑augmented generation
Orchestration‑ready
Stable tool and data layer for LangGraph‑style and other orchestration frameworks