Orchestration intelligence. Not a model marketplace.
A proprietary orchestrator reads a prompt, breaks it into parts, routes each part to the model best suited for the work, then unifies the returns into one answer with context retained. One ModelBeat API key serves multiple applications across a business.
What you get?
Everything included when ModelBeat sits in front of your stack, from day one.
- Deploy on-premise, hybrid, on your cloud, or on Neural Arc cloud.
- Every API key orchestrates between models for the use case on the API it serves.
- Fully auditable and trackable on every API the team creates.
- Build your own models inside ModelBeat, including small domain models, and add them to the routing pool.
The benchmarking and curation protocol inside ModelBeat. It assesses the use case in real time and assembles a model set from internal benchmarking.
Backend metrics span model performance, pricing, build ability, context length, and hallucination rate. Models are classified by category (deep thinking, reasoning, vision, and others) and mapped to use cases. A human reviewer verifies and approves every selection before a model enters the routing pool. A single real-time API key then orchestrates the assembled set.
- 1Use case assessed in real time
- 2Model set assembled from internal benchmarking
- 3Human reviewer verifies and approves the selection
- 4Approved models enter the routing pool
- 5One real-time API key orchestrates the set
37 to 43 percent of current AI cost.
Frontier contract indexed at 100. ModelBeat indexed at 57 to 63.
On-premise, hybrid, and customer-cloud licences are quoted. Amounts stay off this page.
Models
Open-weight models you run locally or in the cloud, with full control. Positioned against closed frontier models on pricing, control, privacy, and local deployment.
The enterprise stack
Four layers, top to bottom.
- VoiceA selectable interface option.
- Helium AIThe workspace chat interface.
- ModelBeat CodeCLI and IDE.
- ModelBeat EngineAPI creation and orchestration contexts.
Helium AI is the same workspace behind Helium One, built directly into this stack. Read the workspace
Start
Onboarding assembles a model set per selected use case. Hover a section to compare the ideal frontier model with the ModelBeat pick and why the pick wins. Swap open-weight models when you want your own judgement.