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MAGIC Research

AI engineering company whose Fabric platform routes AI workloads across models and compute with one API.

What is MAGIC Research?

MAGIC Research is an AI engineering company that combines consulting with a platform called Fabric, formerly Tela. Fabric is described as a private, distributed hypergrid that accepts a task through an AI chat layer or a unified API, selects a suitable model, module or workflow, and assigns the job to computing resources on premises, in the cloud or in a hybrid setup. It supports text, image, audio and video work and includes a model optimization engine and a way to apply organizational policies to every AI request. The company says the approach can lower AI infrastructure costs by up to 90 percent, and it offers prebuilt AI modules or custom solutions built by its team of data scientists and engineers. Security and compliance are described in terms such as encryption, monitoring and GDPR and HIPAA readiness. No pricing is published, so contact the company to discuss a project.

Use cases

  • Route AI tasks to the right model
  • Reduce AI infrastructure costs
  • Run private AI on premises or hybrid
  • Build custom AI solutions with a vendor team
  • Apply company policy to AI requests
  • Run multimodal generation workflows

Who it's for

  • Enterprise IT teams
  • AI engineers
  • Startups adopting AI
  • Data science teams

Why use MAGIC Research

  • Use one interface for many models instead of wiring each model separately.
  • Keep workloads on your own infrastructure, in the cloud or in a hybrid setup.
  • Apply security and policy rules in one place for every AI request.
  • Get help from engineers who build custom modules when a prebuilt one does not fit.
  • Reduce compute waste by sending each task to suitable hardware.

MAGIC Research features

  • Unified API that applies organizational policies to AI requests
  • Conversational AI chat layer for submitting tasks
  • Model orchestrator that selects a model, module or workflow per task
  • Hypergrid runtime for on-premise, cloud and hybrid compute
  • Model optimization engine for performance gains
  • Support for text, image, audio and video in one system
  • Hardware-aware routing across CPUs, GPUs and Apple Silicon
  • Prebuilt AI modules or custom solutions built by the team

How to get started with MAGIC Research

  1. Submit a task through the AI chat layer or the API.
  2. The model orchestrator picks the model, module or workflow that fits the task.
  3. The Hypergrid runtime allocates the job to suitable on-premise or cloud compute.
  4. The optimization engine tunes performance and the result is returned to your systems.
  5. Contact MAGIC Research to scope prebuilt modules or a custom build.

MAGIC Research limitations

  • No published pricing or self-serve plans
  • The cost saving of up to 90 percent is the vendor's own claim; results depend on your workloads

MAGIC Research pricing

We couldn't confirm pricing on the official site. Check researchmagic.com for current prices.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

MAGIC Research alternatives

The main MAGIC Research alternatives listed on Debuly are Anyscale, Together AI, Modal, Portkey, LiteLLM and Alibaba Cloud Model Studio. The table compares pricing and platforms; order is A–Z.

MAGIC Research compared with its alternatives
ToolPricingStarting pricePlatforms
MAGIC ResearchPricing unknown—API, Self-hosted
Alibaba Cloud Model StudioPaid$6/moWeb, API
AnyscalePaid$0.01, usage-basedWeb, Self-hosted
LiteLLMOpen source—Python, API, Self-hosted, CLI
ModalFreemium$250/moWeb, API, CLI, Python
PortkeyFreemium$49/moWeb, API, Self-hosted
Together AIPaid—Web, API
  1. Alibaba Cloud Model Studio

    Alibaba Cloud platform giving developers API access to Qwen and partner models for text, image, video and speech, billed per token or by subscription.

  2. Anyscale

    Managed platform for running Ray workloads, with pay-as-you-go compute and options to deploy in your own cloud.

  3. LiteLLM

    Open-source AI gateway and Python SDK that gives one OpenAI-format API to 100+ LLM providers, with keys, budgets and cost tracking.

  4. Modal

    Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

  5. Portkey

    AI gateway with observability, guardrails, caching and prompt management for teams running LLM apps in production.

  6. Together AI

    AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

MAGIC Research FAQ

How much does MAGIC Research cost?

The site does not publish pricing or plans. Contact the company to discuss a project or deployment.

Is there a free plan for Fabric?

No free plan or trial is described on the site. Reach out to the company to ask about access.

What is Fabric Hypergrid?

It is the company's platform for routing AI tasks to models and compute. It combines a chat layer, a model orchestrator, a runtime for on-premise, cloud and hybrid resources and an optimization engine.

Does Fabric have an API?

Yes. The site describes a unified API that receives AI prompts, tasks or jobs and submits them to the orchestrator while enforcing organizational policies.

Who is MAGIC Research for?

Organizations of any size that want to adopt generative AI with managed infrastructure, from startups to global enterprises.

What are alternatives to MAGIC Research?

Related options include Anyscale, Together AI, Modal, Portkey and LiteLLM.

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

SourceTypeAccessed
researchmagic.com/official
researchmagic.com/pricingpricing
researchmagic.com/fabric-hypergrid/official

Image credits

  • Logo: from researchmagic.com · fetched · Vendor trademark, used only to identify the product; removed on request
  • Cover: none collected yet, so a generated tile is shown.

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