1NCE AI Platform
Run 17 AI Models Through One API
1NCE AI
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Run 17 AI Models Through One API
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Access 17+ models including Claude, Llama, Mistral, Amazon Nova, and more through a single OpenAI-compatible endpoint. At the same price as AWS Bedrock direct, without AWS account, IAM setup, or per-model access requests. You're live in under 3 minutes.
1NCE AI Insights:
17+ hosted models
99.9% target availability
< 3 min to first API call
One single API Key
No AWS account required
$5 free credits to start
An AI Platform built for IoT teams, enterprise developers, and platform engineers.
One key for all 17+ models.
No separate accounts or IAM policies.
Works with LangChain, LlamaIndex, Vercel AI SDK, LiteLLM. Any OpenAI-compatible tool. No new SDK.
Rate limits and spending caps by team and model. Full audit logs, predictable costs.
Add AI through the portal you already use.
Same invoice, same support.
One invoice for all usage.
Set budgets, track spend in real time.
Prompts and outputs don't train foundation models. Contractual for Bedrock-hosted; US-routed follows provider terms.
One invoice for all usage.
Set budgets, track spend in real time.
Production-ready infrastructure with enterprise controls:
Automatically switch to an alternative model if the selected model becomes unavailable.
Track usage by model, key, and team. Set alerts and export billing reports.
Create accounts, generate API keys, manage access controls, and configure budgets without waiting for sales.
Every API call includes model details, token counts, latency, and costs for reporting and compliance.
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Developer-First Setup
Create Your Account
Sign up with your work email. You don’t need AWS account, IAM setup, or model access requests. Existing 1NCE customers can use their current credentials.
Generate an API Key
Select your preferred models, set optional spending limits, and create a scoped API key.
Make Your First Call
Point your OpenAI-compatible client to api.1nce.ai/v1. Update the base URL and API key. No other code changes are required - most developers are set up in under a minute.
Track Usage and Billing
View usage by model, API key, and billing period with complete transparency and no minimum spend requirements.
Pricing
Usage-based pricing means you only pay for consumed tokens at standard AWS Bedrock rates. There are no minimum spend, hidden fees, or month-end surprises. Start with $5 free credits and top up whenever you need.
AI Features in SaaS Products:
Add AI capabilities without building and maintaining integrations with multiple model providers.
Internal AI Chat:
Deploy OpenWebUI or LibreChat with audit logs, SSO, user controls, and enterprise governance.
IoT Data Interpretation:
Convert telemetry into plain-language insights, anomaly summaries, and operational reports.
Automated Document Processing:
Summarise contracts, extract structured data, and review documents through a single API.
Go from sign-up to your first AI-powered application in minutes.
I already call OpenAI directly. How long does it actually take to switch?
Two lines of code: change base_url to https://api.1nce.ai/v1 and swap your API key. That's it. The endpoint uses the same OpenAI request and response format, so your existing SDK, prompts, and parsing logic stay unchanged.
Most developers make their first successful call within a minute of generating a key. The model name changes (e.g. "claude-3-5-sonnet" instead of an OpenAI model ID), but the call structure is identical.
We use LangChain / LlamaIndex / Vercel AI SDK. Does it work?
Yes. Any client or framework that supports a custom base_url and OpenAI-compatible completions format works with 1NCE AI. This includes LangChain, LlamaIndex, Vercel AI SDK, LiteLLM, and any other tool that lets you configure the endpoint and API key separately. If it works with OpenAI, it works with 1NCE AI.
What's the actual difference between this and just signing up for AWS Bedrock?
With Bedrock you need a full AWS account, IAM setup, and individual access requests for each model. There's also no built-in team spend management or audit dashboard. With 1NCE AI you get all 17+ models on day one through an OpenAI-compatible API, a real-time spend dashboard with per-key caps, full audit logs, and AWS Bedrock list pricing with no markup. No AWS account required.
Can different team members or projects use separate keys with separate budgets?
Yes. You can create as many scoped API keys as you need, one per project, per team, per environment (dev/staging/prod), or per customer if you're building a multi-tenant product. Each key has its own spend cap, and usage is tracked individually in the dashboard. Revoke any key instantly without affecting the others.
What happens if a model goes down mid-request?
1NCE AI includes automatic multi-model routing. If the primary model for a request becomes unavailable, the platform routes to the next best alternative without any action needed on your end and without downtime. You still get a response; you don't need to build your own fallback logic.
Do you support streaming responses?
Yes. The 1NCE AI endpoint supports streaming in the same format as the OpenAI API. Set stream: true in your request and handle the server-sent events the same way you would with any OpenAI-compatible client. No changes needed if you're already handling streaming in your application.
Is there a free tier, or do we have to commit to a paid plan to evaluate it?
No commitment required. Every new account gets $5 in free credits at sign-up — enough to make thousands of API calls and evaluate the platform across multiple models. No credit card required to start. If you want to continue, you top up whenever you're ready. There's no subscription, no monthly minimum, and no time limit on using your credits.
We're running an IoT platform with high call volumes. Can 1NCE AI handle that?
Yes, IoT-scale workloads are a primary use case. 1NCE AI runs on AWS Bedrock infrastructure with a 99.9% target availability and low-latency endpoints specifically optimized for telemetry analysis, predictive maintenance, and device data interpretation. Rate limits are configurable per key so high-volume keys can be allocated appropriate headroom. If you're running large-scale IoT workloads, talk to the sales team: there are volume arrangements available for predictable high-consumption accounts.
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