As DGrid, we have spent the past time listening to a simple but persistent complaint from builders everywhere:
“It shouldn’t be this hard just to find, test, and integrate the right LLM.”
Today, we’re excited to introduce two tightly integrated capabilities designed to fix exactly that:
- Dori Find Models — Natural language–driven model discovery and evaluation.
- LLM Marketplace — A unified API layer to call and swap between 100+ production-ready LLMs with zero code changes.
Together, they transform the traditional fragmented process of working with AI models into a single, streamlined “discover → test → integrate” workflow.
The Problem: Fragmented LLM Workflows Are Slowing Everyone Down
If you’ve tried to adopt LLMs in a serious way, the journey probably looks familiar:
- Multi-platform search: You start with a business or product requirement, then spend hours (or days) jumping between vendor pages, GitHub repos, benchmark reports, and social media threads looking for “the right model.”
- Sign-up everywhere: For each promising model, you sign up for yet another platform, configure billing, generate an API key, and set up auth. None of this moves your product forward, but it’s required just to begin.
- Scattered testing: You test models in separate playgrounds or write ad-hoc scripts to hit each API. Results live in screenshots, personal notes, and spreadsheets. It’s hard to compare performance in a structured way, and even harder to share that evaluation across your team.
- Painful comparison and decision-making: With no unified view, choosing “the best model for our use case” turns into a mix of intuition, incomplete metrics, and time pressure. You’re often blind-testing models with limited visibility.
- Multi-head integration and operations: Once chosen, each model demands its own SDKs, endpoints, auth schemes, and error semantics. Over time, your codebase accumulates provider-specific logic, and changing models in production becomes risky and expensive.
This is the status quo: high friction, high fragmentation, and high switching cost.
Dori Find Models: Describe Your Needs, Discover the Right Models
Dori Find Models is our answer to the first half of the problem: how to move from scattered, manual model discovery to an intelligent, guided process that starts from your actual use case.
Instead of hunting through tabs and docs, you simply tell Dori what you need.
How Dori Works
- You describe your requirements in natural language
- “We need a low-latency, cost-efficient model for multilingual customer support (English, Spanish, Portuguese), integrated into our existing chatbot.”
- “We’re building a code assistant focusing on Python and TypeScript; strong reasoning and large-context understanding are important.”
- “We want a model optimized for long-document RAG, with stable performance on 10k+ token contexts.”
2. Dori searches across the LLM Marketplace
- Filters candidate models by task fit, context window, latency and cost characteristics, and other relevant attributes.
- Ranks them according to your priorities (throughput, quality, pricing sensitivity, etc.).
- Surfaces a short, relevant list of recommended models instead of forcing you to inspect everything manually.
3. You test in one place — with your real workload
- Run free trials on candidate models directly within DGrid.
- Test using your own prompts, documents, and scenarios, not just canned examples.
- Compare behavior across models under a shared, consistent environment.
4. You receive a clear, shareable test report
- Output examples and qualitative observations
- Latency and performance metrics
- Cost estimates aligned to your expected traffic patterns
Outcome:
You no longer “blindly try” models across multiple platforms. You discover, test, and compare them in one guided, conversational flow.
LLM Marketplace: Unified Access to 100+ Models with a Single API
Once you’ve identified the right models, the next problem is getting them into production — and keeping your options open as your needs evolve.
This is where the LLM Marketplace comes in.
A Single Key and Unified Endpoint
With LLM Marketplace, you access 100+ production-ready LLMs through:
- One API key
- One unified endpoint
- A single, coherent interface
You don’t need to:
- Maintain a different auth scheme for each provider.
- Juggle multiple SDKs or versioned base URLs.
- Rebuild your integration every time you add or replace a model.
Instead, you integrate once with DGrid, and choose the underlying model via configuration.
Call and Swap Models Without Changing Your Code
Our goal is to make model choice and model switching a configuration concern, not an engineering project.
With the LLM Marketplace:
- You can invoke any supported model using the same high-level API structure.
- You can switch from one model to another (or route across several) by updating configuration in the DGrid dashboard or via minimal parameter changes — not by rewriting your business logic.
- You can run A/B tests or multi-model strategies (e.g., different models by region, use case, or traffic tier) without forking your production codebase.
This dramatically reduces:
- Integration cost — you implement once instead of N times.
- Operational complexity — you monitor and manage one logical integration point.
- Vendor lock-in risk — switching or adding providers is no longer a structural refactor.
In short, the LLM Marketplace is your model abstraction layer: it lets you treat heterogeneous LLM providers as a single, coherent capability that you can evolve over time.
From Fragmented to Unified: A New LLM Workflow with DGrid
Combined, Dori Find Models and the LLM Marketplace reshape the end-to-end LLM workflow.
Traditional LLM Workflow
DGrid Workflow
The result is a cohesive, end-to-end flow instead of a chain of disconnected tools and platforms.
Why This Matters for Developers, Teams, and the Web3 / AI Ecosystem
We designed these capabilities with a broad range of users in mind:
- Individual developers & startup teams
Ship faster by focusing on product and UX, not on vendor plumbing. Iterate on model choice quickly as you learn from users.
- Enterprises & large platforms
Standardize LLM access across business units, while maintaining the flexibility to adopt new models as they emerge. Reduce the long-term maintenance burden of multi-vendor integrations.
- Web3 and on-chain projects
Build AI-powered agents, dApps, and protocols that can flexibly upgrade or diversify their model backbone over time, without breaking on-chain or off-chain integration logic.
At DGrid, we see model agility as a critical capability in the AI era.
The landscape will keep evolving. Your stack should be ready to evolve with it — without forcing a full re-architecture every time a new model appears.
Try DGrid Today
We built Dori Find Models and the LLM Marketplace to give you a single, powerful surface for working with LLMs:
- From fragmented, manual exploration to guided, conversational discovery
- From one-off, siloed tests to structured, comparable evaluations
- From rigid, vendor-specific integrations to a flexible, unified API layer
If you’re ready to simplify your AI model stack and ship faster with more confidence, we invite you to try DGrid now:
👉 Start here: https://dgrid.ai/ , we’re excited to see what you build on top of it.