Deploy, govern and intelligently route requests across OpenAI, Claude, Gemini, and self-hosted models from one unified, secure platform. Niyan AI provides complete control for high-compliance enterprise AI environments.
A short walkthrough of the control plane: unified routing across providers, governance, and FinOps — so teams can evaluate Niyan before requesting access.
Stop managing dozens of individual API tokens, custom endpoints, and configuration files. Niyan AI abstracts provider differences into a single compliance-first orchestrator.
Deploy local models (Llama 3/4, Qwen, DeepSeek) inside your private cloud or on-premise hardware. Ensure 100% data sovereignty.
Classify request intent instantly. Dynamically balance workloads based on cost, latency, compliance requirements, and accuracy targets.
Reduce token expenditures by 50-80% by routing simple tasks to self-hosted SLMs while reserving GPT/Claude for complex workloads.
Fully OpenAI-compatible endpoint. Write your application once, swap or fallback models on the fly without changing a line of application code.
End-to-end tracing for LLM calls, prompt chains, and multi-agent frameworks. Monitor execution graphs, token consumption, and system latency in real time.
Built-in regional guardrails and masking policies. Out-of-the-box compliance templates for HIPAA, GDPR, India's DPDP Act, NIST frameworks, and SOC 2 audits.
In-built real-time defenses scanning for prompt injections, jailbreak attempts, toxic content, and sensitive PII leakages prior to routing models.
A single administrative plane to evaluate, deploy, scale, observe, and govern your entire model portfolio across any infrastructure.
Run off-line evaluation benchmarks on customized datasets before deploying new private model weights.
How Niyan AI orchestrates your application workloads across private infrastructure and cloud LLM providers.
Requests are run inside a private server enclosure or dedicated Kubernetes node. Zero training or inference data travels outside the corporate firewall. Compliant with military, BFSI, and strict national privacy mandates.
Niyan AI fits into your existing architecture, whether you are running in the cloud, on private bare-metal servers, or in a hybrid network mesh.
Deploy models locally behind strict firewalls on NVIDIA DGX nodes, Dell PowerEdge, or local hardware with full data residency compliance.
Run inside your sovereign enterprise accounts across major global hyperscalers using isolated VPC cluster subnets.
Dynamically scale inference workloads by utilizing local hardware for baseline traffic, and burst to cloud VPCs when demand spikes.
Initialize your private gateway and scale up nodes with the native Niyan orchestrator tool.
Select an enterprise query task and customize your operating policies. See where Niyan AI routes the request in real time and watch the performance indicators adapt instantly.
By routing routine workloads to private nodes and falling back to proprietary models only when necessary, enterprises dramatically trim costs. Estimate your returns below.
Integrate Niyan AI into your applications with our OpenAI-compatible client libraries. Maintain standard application code while Niyan AI handles routing, fallbacks, and auditing under the hood.
import openai, anthropic, google
# Hardcoded logic branches for every call
def generate_response(prompt, priority):
if priority == "high-security":
# Local server endpoint setup
client = openai.OpenAI(base_url="http://10.0.1.5:8080")
model = "llama-70b-local"
elif priority == "creative":
client = anthropic.Anthropic()
model = "claude-3-5-sonnet"
else:
client = google.GenerativeModel()
model = "gemini-1.5-pro"
try:
# Multiple client specifications
return client.completions.create(model=model, prompt=prompt)
except Exception as e:
# Manually script fallbacks
...import openai
# Single integration endpoint. The Niyan AI Control Plane
# automatically applies compliance, optimization, and fallbacks.
client = openai.OpenAI(
base_url="https://gateway.niyan.internal/v1",
api_key="ny_live_83ef92"
)
def generate_response(prompt):
# Send request directly. Niyan AI intelligence routes it dynamically
return client.chat.completions.create(
model="niyan-smart-router",
messages=[{"role": "user", "content": prompt}]
)Niyan AI provides regional regulatory configurations out-of-the-box, ensuring compliant deployment scopes.
Secure customer account summaries and transaction histories. Force PII scrubbing and route high-risk files through air-gapped on-premise local models to enforce strict KYC/AML guidelines.
Analyze clinical patient documentation, transcribe doctors' dictate notes, and run research models without exposing protected health information (PHI) to third-party public clouds.
Provide civic information services and process sensitive national defense files. Keep operations sovereign, private, and independent of external national monopolies.
Protect highly sensitive product engineering data, CAD designs, trade secrets, manufacturing logs, and safety diagnostic algorithms inside private R&D enclaves or assembly floor nodes.
Read how leading organizations leverage Niyan AI to own their intelligence, govern workloads, and reduce API token spends.
By routing baseline customer support inquiries to private Llama-70B clusters and falling back to proprietary LLMs only for audits, the bank saved millions.
Read Case Study →A step-by-step developer's setup guide on compiling, optimizing, and deploying LLMs offline using the Niyan sovereign CLI.
Read Article →Discover how a medical research center utilizes Niyan local scrubbing models to audit clinical trial entries before routing queries.
Read Case Study →Join the private beta for Niyan AI Enterprise. Secure your node, participate in early feature feedback, and co-design compliance blueprints with our engineering group.