Solutions
Secure AI Managed Compute Orchestration and Routing
You have a model ready to deploy. We handle the infrastructure underneath it.
Running a private AI model in APAC means finding verified GPU suppliers, coordinating deployment, tracking uptime, managing billing, and producing documentation that clients and procurement teams can actually review. Most teams cannot do all of that without hiring people they did not plan to hire. SAMCOR does it for you.
Which situation describes you?
What we deliver
Four infrastructure jobs SAMCOR takes off your plate.
You should not need to become a GPU operations company to deploy a private AI model. These are the four things every team gets on every engagement.
Verified supplier sourcing
We find and vet APAC GPU infrastructure partners that match your region, model, and workload. You do not have to evaluate unknown providers yourself.
Deployment coordination
We move your model into a private inference environment. Your team does not have to manage vLLM, Docker, networking, or supplier onboarding from scratch.
Uptime and monitoring
We track uptime, latency, incidents, and supplier responsiveness. You see one live view — not five separate dashboards across different vendor logins.
Documentation and records
Supplier attestations, data residency notes, uptime logs, and deployment confirmation — ready for your client, your procurement team, or an internal review.
Your client wants private AI. You need a deployment path behind the proposal.
You can design the workflow, build the RAG layer, fine-tune the model, and manage the client relationship. The part that stalls deals is the infrastructure underneath it — private hosting, supplier verification, cost visibility, and deployment records. That is what SAMCOR handles.
This is for you if your client is asking for
Win private AI client projects without building your own infrastructure team.
What your agency gets
A supplier shortlist you can put in a proposal
Take a verified, structured infrastructure recommendation into the client conversation — not a vague "we will sort out hosting."
Managed deployment — no DevOps hire required
Your team stays on the product and the client. SAMCOR coordinates the private infrastructure layer behind your delivery.
Documentation your client's procurement team can review
Supplier attestations, data residency notes, and uptime records — structured for the people who need to sign off before go-live.
A 30-day report to hand to your client
Uptime data, cost breakdown, supplier scores, and a scale recommendation. Walk into the client review with a complete picture.
Your token bill is growing and a customer just asked where their data lives.
Public APIs worked when your product was getting started. Now your fine-tuned model has no private hosting path, a customer is asking about data residency, and your monthly cloud bill is unpredictable. SAMCOR gives you a private deployment with a fixed cost, full visibility, and an operator you can hold accountable.
This is for you if
One operator, predictable cost, and infrastructure you can actually see.
What your product gets
Your model on dedicated private infrastructure
Not a shared endpoint. Your fine-tuned model runs on verified hardware in your approved APAC region. Data stays there.
A fixed monthly cost before deployment starts
One consolidated cost estimate with a clear breakdown. No surprise overages. No deciphering a cloud bill at month end.
Uptime data you can share with customers
When a customer asks about reliability or data residency, you have a real answer — not a guess based on a vendor's marketing page.
Records showing who is running your model
Supplier identity, region, uptime history, and trust score — in writing, not a verbal assurance from a GPU provider.
Your AI model has been validated. You need to go to production without hiring an infrastructure team.
Programs like AI Singapore's 100 Experiments and IMDA GenAI × Digital Leaders help you build and validate an AI model. What they do not cover is what comes next — deploying it privately, hosting it in APAC, and operating it without a dedicated DevOps team. That is exactly where SAMCOR starts.
This is for you if
Move your validated AI model into production — without a GPU operations team.
What your company gets
A clear path from validated model to live deployment
AI programs fund the build. SAMCOR manages the production step your internal team does not have the people to run.
Vetted APAC infrastructure — without the research
We provide a matched supplier shortlist. You do not have to spend weeks evaluating GPU providers you have never heard of.
A cost plan your finance team can approve
Structured monthly infrastructure cost with supplier context — not a vague cloud estimate that changes every month.
Data residency documentation for your governance team
Written confirmation of where your data is processed, who the supplier is, and what your deployment looks like — ready for internal review.
Your data governance policy rules out public APIs. You need private deployment with records your security team can review.
Procurement and security teams in regulated industries do not approve AI deployments based on a vendor's privacy policy page. They need documented supplier verification, data residency confirmation, an audit trail, and one accountable operator — not five vendors to manage. SAMCOR produces all of it as part of every deployment.
This is for you if
Deployment records your security and procurement teams can actually review and approve.
What your team gets
Written data residency confirmation for your region
Infrastructure matched to your specific residency requirement, with documented confirmation of where your data is processed and stored.
Supplier verification your security team can work with
Signed supplier attestations, uptime history, and trust scores — structured for vendor review, not written for a marketing page.
A deployment record — not a folder of emails
Supplier details, data flow documentation, infrastructure confirmation, and deployment timeline — in one structured packet.
One operator your procurement team can hold accountable
One contract, one contact, one billing view. Your procurement team does not manage separate relationships with five different GPU providers.
How the work is divided
You own the product. We run the infrastructure underneath it.
This is the same for every customer type. You build and own the AI product layer. SAMCOR manages the private deployment path beneath it — so your team does not have to become a GPU operations company.
Your team owns
- Client or user relationships
- Use case design and product logic
- Prompting, RAG, and model fine-tuning
- UX, workflow, and application layer
- Client success and account growth
SAMCOR manages
- Finding and vetting APAC GPU suppliers
- Coordinating your regional deployment
- Uptime, latency, and incident tracking
- Supplier trust scores and written records
- Consolidated billing and cost visibility
- Compliance-aware deployment documentation
How it works
Five steps from your first conversation to a live deployment.
Tell us about your workload
Share your model type, region requirement, and current or expected monthly compute spend. Use the scorecard below to check fit before you apply.
We confirm whether we are the right fit
SAMCOR reviews your workload requirements and responds within 3 business days. If we are not the right fit, we will tell you directly.
We prepare a supplier shortlist and cost estimate
You receive a verified supplier shortlist, trust scores, estimated monthly cost, and a deployment timeline — ready for a proposal or an internal approval.
We deploy and run the infrastructure
We coordinate your private deployment and manage uptime, suppliers, and billing for the first 30 days. You focus on your product and your client.
You get a full report and a clear next step
Uptime data, cost analysis, supplier scores, and deployment documentation — with a clear recommendation on whether to scale, adjust, or stop.
Check your fit
Not sure if SAMCOR is right for your situation?
Work through these six signals. If four or more apply to you, your workload is likely a good fit and you should apply for a pilot.
Six signals of a good fit
Click each one that applies to your situation
0 of 6
You are running a fine-tuned or open source model
If a standard public API covers your needs, you probably do not need SAMCOR yet. Private inference matters when the model is yours.
Your workload is in production or nearly there
If you are still in prototype or proof-of-concept, the deployment wall has not arrived yet. Come back when it does.
You are spending $5K or more per month on AI infrastructure
Below this level, a managed private deployment typically costs more than the problem it solves. A public API is usually the right answer.
You need your model hosted inside Singapore or a specific APAC region
If your data can live anywhere, the case for a managed APAC deployment is weaker. Residency requirements are where SAMCOR becomes the clearest answer.
Your team does not have dedicated infrastructure engineers
If you have a strong DevOps team, you may be able to manage this yourselves. SAMCOR is for teams that should not have to.
A client or procurement team is asking for deployment documentation
When supplier records and data residency notes become a delivery requirement, getting them from SAMCOR is much easier than producing them yourself.
Select the signals that apply to you.
Apply for pilotWho this is not for
SAMCOR is not the right fit for everyone. Here is an honest list.
You are still exploring whether AI is useful
You need a consultant or an app — not a private infrastructure operator. Come back when you have a specific model and a real workload.
You are running a small chatbot or prototype
If a public API does the job, use it. SAMCOR is not a cheaper cloud — it is a managed deployment layer for workloads that cannot live on a shared endpoint.
Your compute spend is above $50K per month
At that scale, a direct relationship with a hyperscaler or a major system integrator is usually the better path. We are building toward that capability — but we are not there yet.
Your only goal is to find cheaper GPU compute
Cost is one benefit of SAMCOR — not the whole point. If raw GPU price is the only driver, a marketplace or a direct supplier relationship will serve you better.
Apply or ask a question
If four or more of those signals apply to you, this is the right time to reach out.
Apply for a 30-day managed inference pilot or book a call to talk through your specific workload. We respond to every application within 3 business days.