Models
Access leading and custom models via secure APIs.
AI SERVICES
Enterprise AI
Services
Enterprise-ready model APIs, private endpoints, and production AI services.
Agents
Deploy intelligent agents for complex workflows.
APIs
Reliable, scalable APIs for every use case.
Coding
AI coding assistants and developer tools.
PLATFORM OVERVIEW
Everything Required to Deliver Enterprise AI
A unified services layer for model access, intelligent routing, token delivery and enterprise governance.
01
Model Access
Access foundation models, private models and domain-specific AI services through one unified inference layer.
Foundation ModelsPrivate ModelsEnterprise Endpoints
02
Intelligent Routing
Route every request to the optimal model, region and deployment based on latency, policy, cost and workload.
Latency-AwarePolicy-DrivenCost-Optimized
03
Token Delivery
Meter usage, manage quotas and deliver AI services through flexible token-based service models.
MeteringQuotasUsage Analytics
04
Enterprise Governance
Apply identity, policy enforcement, audit logging and compliance controls across every inference request.
SSOPolicyAudit Logs
ENTERPRISE AI GATEWAY
AI Inference Gateway
One intelligent gateway for every enterprise AI request.
Intelligent Routing
Automatically route every AI request to the optimal model, region and endpoint.
LatencyPolicyWorkload
Unified Endpoint
Expose governed model access through consistent APIs and integration paths.
RESTOpenAI APISDK
Enterprise Policies
Enforce identity, access, auditability and compliance before inference executes.
RBACAuditCompliance
Token Intelligence
Track token usage, cost signals and delivery patterns across every AI service.
AnalyticsBillingMetering
AI MODEL ECOSYSTEM
Unified Access to Enterprise AI Models
Connect foundation models, private models, domain-specific models and agent services through one governed inference layer.
One governed layer for model access.
Expose multiple AI model classes through consistent APIs, policies, usage controls and enterprise delivery paths.
Foundation model access
Private model hosting
Fine-tuned model delivery
Domain-specific model endpoints
Agent service integration
01
Foundation Models
General-purpose language, reasoning and multimodal models.
02
Private Models
Enterprise-owned models deployed in isolated environments.
03
Fine-Tuned Models
Adapted models optimized for customer-specific tasks and workflows.
04
Domain Models
Industry-specific models for finance, legal, healthcare, manufacturing and operations.
05
Agent Services
Tool-using AI agents connected to enterprise applications and workflows.
ENTERPRISE CONTROLS
Govern Every Request.
Audit Every Response.
Apply identity, policy, quota, audit and usage controls across every model, endpoint and AI service.
Identity & Access
01Authenticate users, applications and services before inference.
SSORBACService Keys
Policy Enforcement
02Apply routing, usage, data and compliance policies across endpoints.
GuardrailsRegionsModel Access
Quota & Usage Control
03Set token quotas, rate limits and budgets by team, workload or customer.
QuotasRate LimitsBudgets
Audit & Observability
04Track requests, responses, usage patterns and operational events.
Audit LogsTelemetryReporting
UNIFIED ENTERPRISE AI STACK
One Platform.
Every Enterprise AI Workload.
A unified enterprise AI platform combining AI delivery, orchestration and GPU infrastructure into one production stack.
01
Deliver
Unified AI delivery through one governed inference layer.
02
Operate
Models, runtimes and deployments managed from one enterprise control plane.
03
Scale
GPU compute, storage and networking delivered across cloud, private and hybrid environments.
DEVELOPER EXPERIENCE
Integrate Once.
Deliver AI Everywhere.
Use consistent APIs, SDKs and streaming endpoints to connect enterprise applications to governed AI services.
OpenAI Compatible API
Production Ready
PythonJavaScriptREST
OpenAI CompatibleEnterprise GatewayPolicy-AwareStreaming
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.d-dao.ai/v1",
api_key=os.environ["DDAO_API_TOKEN"],
)
stream = client.chat.completions.create(
model="enterprise-router",
stream=True,
extra_headers={
"x-d-dao-policy": "finance-prod",
"x-d-dao-gateway": "enterprise",
},
extra_body={
"routing": "policy_latency_balanced",
"metadata": ["usage", "route"],
},
messages=[
{"role": "user", "content": "Review this claim."}
],
)
for event in stream:
write_token(event.choices[0].delta.content)
capture_metadata(event.usage, event.routing)OpenAI CompatibleStreamingREST APISDKPythonJavaScript
01
OpenAI-Compatible API
Use familiar API patterns for faster enterprise adoption.
02
SDK Support
Integrate with Python, JavaScript and enterprise backend services.
03
Streaming Responses
Deliver low-latency token streaming for production applications.
04
Private Endpoints
Connect applications to dedicated and private AI services.
05
Usage Metadata
Return token, cost and routing metadata with every request.
06
Policy-Aware Requests
Apply identity, quota and governance controls at the API layer.