Generative AI / LLM Platforms

AI & Data / Build & Deploy AI

Generative AI / LLM Platforms

Enterprise platforms for deploying generative AI — LLM hosting, fine-tuning, retrieval-augmented generation (RAG), AI agents, and tools to manage AI cost and security. The infrastructure layer for putting AI into production beyond the ChatGPT consumer experience.

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24
providers vetted

Private
LLM deployments available

3–4
shortlist candidates

$0
cost for our guidance

When should you be evaluating Generative AI / LLM Platforms?

Rubber Duck has worked extensively with our Generative AI / LLM Platforms providers to understand where they have seen the most success and the biggest ROI for clients adopting the solution. Here is what the data reflects.

  • You’re building internal AI tools (chatbots, document Q&A, agent workflows) and need an enterprise platform
  • You’re optimizing AI spend across multiple model providers (OpenAI, Anthropic, Bedrock)
  • You need a private deployment of LLMs to keep proprietary or regulated data inside your environment
  • You’re orchestrating AI agents that take actions across SaaS apps and need a control plane
  • You want governance — monitoring, logging, prompt management, content filtering — across all AI usage

Providers delivering generative AI platforms

Every provider below has been vetted for platform maturity, security posture, and post-sale accountability. Want the three best fits for your AI roadmap? That’s one conversation.

Browse the full directory → · Or get matched in 10 minutes →

Products & platforms

Deep-dives on the specific platforms our partners deliver in this category.

Product deep-dives for this category are on their way. In the meantime, we keep current datasheets and comparison matrices on file — ask an advisor.

Proof in the field

Shortlist the right generative AI platform in one conversation

24 vetted options, three that fit you, zero cost for the guidance. Bring your questions.

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The Process

How your Generative AI / LLM Platforms engagement runs

The same disciplined path every time — so you always know what happens next and who is accountable for it.

1

Day 1

Assess

We map your environment, contracts, and goals. No pitch — an honest read on where you stand and what it should cost.

2

Week 1

Shortlist

You get 3–4 fits from 475 vetted providers, with the reasoning attached — capabilities, pricing leverage, trade-offs.

3

Weeks 2–3

Evaluate

We run the demos, reference checks, and side-by-side pricing benchmarks so your team doesn't have to.

4

Weeks 3–4

Negotiate

Terms, SLAs, and pricing negotiated with portfolio-level leverage — anchored to real market rates, not list price.

5

Ongoing

Manage

We oversee implementation and stay your escalation point for the life of the service, through every renewal.

Typical timeline for mid-market engagements. Complex builds — colocation, dark fiber, custom AI deployments — carry longer evaluation and delivery windows, and we set that expectation on day one.

The Economics

Why source Generative AI / LLM Platforms through Rubber Duck

No retainers, no hourly billing, no markup on your contract. Here is how that works:

Same or better pricing

Your contract is signed directly with the provider at rates we benchmark against comparable deals — you pay the same or less than going direct.

$0 advisory fee

Providers fund our advisory through their partner programs, and every provider compensates us the same way — so recommendations are based on fit, never commission.

One escalation point

After go-live we stay accountable: implementation oversight, billing disputes, outage escalations, and renewal strategy all route through your advisor.

Common Questions

What buyers ask before their first call

Does the guidance really cost nothing?

Yes. Our advisory is supplier-funded: providers pay us through the same partner programs they fund for all technology advisors, and every provider compensates us the same way. You pay the provider directly, at rates we benchmark — the same or less than going direct.

How are you different from a reseller or an MSP?

We don't carry inventory, quotas, or a house brand to protect. A reseller earns more when you buy what they stock; we earn the same regardless of which vetted provider you choose — so the recommendation is driven by fit. Where a managed service is the right answer, we source and oversee it rather than sell you our own.

Do we keep a direct relationship with the provider?

Yes. Your contract, billing, and SLAs sit directly with the provider you select. We sit on your side of that relationship — running the evaluation and negotiation up front, then acting as your escalation point after go-live.

What if we're already under contract?

That's the most common starting point. We benchmark your current rates now, flag billing errors worth disputing immediately, and build the renegotiation plan around your renewal window — including co-terming services so future decisions happen on your schedule, not the vendors'.

How fast do we get to a shortlist?

For most categories you'll have a reasoned shortlist of three or four providers within a week of the first assessment call. Complex infrastructure — colocation, dark fiber, large contact-center builds — takes longer, and we tell you that up front.