OpenAI Select Partner
What we deliver for clients on OpenAI.
Magnitudeminds is an OpenAI Select Partner in the OpenAI Partner Network, OpenAI's global program for partners that build, sell, and deliver AI solutions with OpenAI. We help enterprise and mid-market customers build, deploy, and scale AI solutions with OpenAI: production API systems, ChatGPT rollouts, and Codex in engineering teams.
- OpenAI Select Partner
- Independent implementation partner
- OpenAI API, ChatGPT, and Codex deployments
- Ho Chi Minh City, clients worldwide
What we deliver
Six kinds of work we do on the OpenAI platform.
Each is a scoped engagement with its own team and deliverables. Most clients start with discovery or a production API system and add the others as adoption grows.
Production systems on the OpenAI API
Agents, retrieval, and tool-calling systems designed for production from the first sprint: model and API selection, architecture, retrieval, evaluations, guardrails, authentication, and scaling. Delivered on the OpenAI API or Azure OpenAI, inside your compliance boundary.
ChatGPT rollout for the organisation
Planning and deployment of ChatGPT across a company: workspace and access setup, the first activation use cases, user enablement, adoption measurement, and the rollout plan by team. Your ChatGPT agreement stays with OpenAI; we do the deployment work.
Codex in engineering teams
Codex introduced into an engineering organisation with a safe operating model: developer-workflow integration, repository and security controls, governance, advanced workflows, and a staged rollout. We run Codex on our own delivery work and bring that practice to yours.
Use-case discovery and qualification
Structured discovery with the people who do the work: which processes fit an OpenAI-based system, what the value case is, what the risks are, and a clear next step. Usually a short fixed-scope engagement that ends in a buildable specification.
Hosting and migration decisions
Where the models should run, given your data and region: the OpenAI API directly or Azure OpenAI inside your cloud contract, with the data-residency options OpenAI offers. Migration from other providers, older models, or in-house prototypes, with evaluations to confirm quality before switching.
Operations after go-live
Monitoring, evaluation suites, cost control, and upgrade paths as new OpenAI models and API capabilities ship. Partner enablement keeps our engineers current on releases, so upgrades are planned rather than reactive.
How it works
An implementation partner, not a reseller.
The partnership is a vetted implementation relationship. It changes who does the deployment work and how current the team is on the platform. It does not change your contract with OpenAI or our advice on which model to use.
The OpenAI Partner Network is a global program for partners to build, sell, and deliver AI solutions with OpenAI. It brings together partners with industry expertise, delivery capabilities, and customer relationships, and equips them with resources, enablement, and support to help enterprises adopt OpenAI models and products and turn them into measurable impact.
openai.com/business/partnersWe are an independent implementation partner in the OpenAI Partner Network, helping customers build, deploy, and scale AI solutions with OpenAI. We contract with you directly for consulting, implementation, deployment, enablement, and support.
Your use of OpenAI services runs on your own agreement with OpenAI or an authorised reseller. We do not resell OpenAI services and we do not change those terms.
Where a direct commercial relationship with OpenAI fits, for example for ChatGPT or a larger API commitment, we can introduce you to OpenAI and stay on as the deployment team.
Select Partner status is awarded by OpenAI after partner onboarding, practitioner training, and a technical screening, and is maintained through continued enablement and delivery. It does not make us an OpenAI reseller or spokesperson.
The partnership does not narrow our recommendations. We stay model-agnostic and choose by requirements, region, and where your data may live.
Enterprise defaults
Deployed on OpenAI's enterprise terms, inside your boundary.
What a client can expect from an OpenAI deployment we run. Platform commitments are OpenAI's own, as published in its enterprise privacy and security documentation; the engineering commitments are ours.
Business data stays yours
Under OpenAI's published enterprise terms, data sent through the API and business ChatGPT plans is not used to train OpenAI models by default. We configure retention, access, and logging on your side to match.
Hosted where your rules allow
The OpenAI API directly, or Azure OpenAI inside your Microsoft contract, with the data-residency options each offers. We confirm the residency and processing terms with you before anything is deployed.
Evaluated, guarded, observed
Evaluation suites before release, guardrails and review gates in the system, and monitoring after go-live. Systems that make decisions about people ship with logging and human review by default.
All major providers
We implement every major LLM provider.
The OpenAI partnership does not narrow our recommendations. These are the providers we run in production today.
OpenAI
GPT models through the OpenAI API and Azure OpenAI. ChatGPT and Codex deployments. Our Select Partner work sits here.
Anthropic
Claude models through the Anthropic API, AWS Bedrock, and Google Vertex AI.
Gemini models through Vertex AI, with Google Cloud grounding and tooling.
Meta Llama
Open-weight Llama models for self-hosted and cost-sensitive workloads.
Mistral
European provider with open-weight and hosted options, often chosen for EU requirements.
Open-weight and local
Qwen, DeepSeek, and other open models served with vLLM or Ollama where data cannot leave your infrastructure.
Managed, cloud, or self-hosted
Deployed where your constraints allow.
Managed provider APIs
The shortest path to production. Direct APIs from OpenAI, Anthropic, or Google, on enterprise data-use terms, with no infrastructure to run.
Cloud-hosted models
Models inside your existing cloud contract and compliance boundary: Azure OpenAI, AWS Bedrock, or Google Vertex AI, in your region.
Self-hosted and on-premise
Open-weight models on your own GPUs or private cloud when residency, air-gapping, or regulation requires it. We size, serve, and monitor the stack.
Hybrid routing
Many systems route between models: a frontier API for hard reasoning, a smaller or local model for volume work. One system, one model per task.
How we choose
Five questions decide the model, in this order.
Task complexity, quality bar, latency, and cost per call decide the model class before any brand does.
Where your data may live and be processed narrows the provider and hosting options first.
Rules in finance, health, and the public sector often decide managed versus self-hosted before anything else.
If you are committed to Azure, AWS, or GCP, we deploy models inside that boundary.
We build against provider-agnostic interfaces, so switching or adding a model later is a configuration change.
OpenAI Select Partner
Scope an OpenAI deployment with the team that will run it.
Bring the use case and the constraints. We will propose the architecture, the hosting option, and the engagement, and show comparable systems we have shipped.