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Business Section

Syntera Marketplace business overview

Syntera Marketplace is a business-facing AI marketplace and control plane for turning three core AI pillars into usable services:

  1. LLMs for generation and conversational AI
  2. Vector databases for retrieval and semantic search
  3. Agentic workflows for multi-step AI automation

Today, the platform is strongest as a place to discover, configure, deploy, test, and operate AI capabilities without asking customers to build every integration layer from scratch.

What users can do now

Users can do the following in the current Syntera Marketplace product:

  1. Browse blueprints for LLMs, Vector Databases, and Agentic Workflows
  2. Search, filter, and sort available options before selecting a component
  3. Open a detailed page for the selected model, database, or workflow
  4. Configure a deployable service with business-specific settings
  5. Test the configured service inside the platform
  6. Copy the generated endpoint, credentials, and access details needed for application integration
  7. Monitor active subscriptions, usage, and estimated spend from the dashboard

How to position Syntera Marketplace

For business conversations, Syntera Marketplace should be positioned as:

  • A single marketplace experience for AI building blocks
  • A deployment and configuration layer for production-facing AI services
  • A faster go-to-market path for teams that want usable AI endpoints and workflows without building the control plane themselves

It is best presented as a platform that helps customers go from selection to working endpoint or workflow with clear operational visibility afterward.

Pillar 1: LLMs

What users can do today

Within the LLM pillar, users can currently:

  1. Browse a catalog of available language models
  2. Search for models and narrow the catalog with filters such as Code Generation, Fast Inference, Instruction, Large Context, Multimodal, and Reasoning
  3. Sort models by Last Created, Last Updated, or Rating
  4. Open a model details page before configuring it
  5. Create a custom API endpoint for a selected model
  6. Set the generation behavior for that endpoint using:
  7. Maximum tokens
  8. Temperature
  9. Top P
  10. Top K
  11. API name
  12. Description
  13. Generate a ready-to-use chat endpoint for the configured model
  14. View API documentation generated for that endpoint
  15. Test the endpoint directly inside the Syntera Marketplace UI
  16. Manage configured endpoints later from the dashboard, including updating:
    • API name
    • Description
    • System prompt
    • Generation parameters

Business value of the LLM pillar

This means Syntera Marketplace can already help customers move from "we want an AI assistant" to "we have a working AI API endpoint" in a guided flow.

Instead of only selecting a model, users finish with a named endpoint they can hand to an application team for integration.

Business use cases supported now

Use case What the business team can present
Customer support assistant Configure an instruction-oriented LLM endpoint for support answers, then test it inside the platform before handing the endpoint to product or engineering teams
Content generation Create separate endpoints for marketing copy, product descriptions, or internal drafting with different creativity settings
Internal knowledge assistant Pair an LLM endpoint with a vector database deployment to support retrieval-based answers over company content
Developer or technical assistant Use code-generation or reasoning-oriented models to expose a model endpoint for internal tools or engineering workflows
Multimodal or advanced reasoning scenarios Use the catalog and filtering experience to match a business scenario to the right model family before deployment

Pillar 2: Vector Databases

What users can do today

Within the vector database pillar, users can currently:

  1. Browse available vector database options from the marketplace
  2. Start a guided configuration flow for deployment
  3. Configure embedding and retrieval behavior using:
  4. Embedding model
  5. Embedding dimension
  6. Batch size
  7. Maximum sequence length
  8. Configure search/index behavior using:
  9. Indexing strategy
  10. Vector space
  11. HNSW M parameter
  12. EF construction
  13. Configure collection settings using:
  14. Default collection
  15. Embedding function
  16. Metadata configuration
  17. Configure infrastructure settings using:
  18. Instance plan
  19. Sharing
  20. Tenant awareness
  21. Deploy supported vector databases through the product's Snowflake deployment flow
  22. Monitor deployment progress in real time with:
  23. Live logs
  24. Step-by-step deployment progress
  25. Deployment status details
  26. Open the saved configuration after deployment
  27. Retrieve the connection package for the deployed database, including:
    • Endpoint URL
    • API key
    • Password
  28. Use Syntera Marketplace APIs to index data and run vector search against the deployed service

Business value of the vector database pillar

This turns Syntera Marketplace from a simple catalog into a practical retrieval layer enablement platform. A customer can leave the workflow with a configured vector database instance and the access details needed to connect it to their application or RAG stack.

Business use cases supported now

Use case What the business team can present
Semantic enterprise search Deploy a vector database that supports similarity search over embedded content
RAG foundations for assistants Give technical teams a retrieval layer that can be connected to Syntera LLM endpoints
Knowledge-base retrieval Configure collections and search behavior for document-driven assistant experiences
Recommendation and matching Use embedding-based search to power similarity matching across products, documents, or records
Multi-tenant retrieval environments Use the configuration flow to prepare environments with tenant-awareness and sharing controls where needed

Pillar 3: Agentic Systems

What users can do today

Within the agentic pillar, users can currently:

  1. Access the agentic marketplace and builder experience from inside Syntera Marketplace
  2. Open workflow-specific configuration screens
  3. Build a workflow visually by:
  4. Adding components
  5. Connecting those components into a workflow
  6. Deploying the resulting workflow graph
  7. Retrieve the workflow's execution schema after deployment
  8. Execute the workflow from the platform by submitting the required inputs
  9. Review workflow results directly in the UI
  10. See generated output content and associated media references when a workflow run completes
  11. Track workflow activity as part of overall usage reporting

Business value of the agentic pillar

This gives customers a practical way to package multi-step AI logic into a reusable workflow instead of relying on a single model call.

The current value is strongest for use cases where the customer wants a structured AI process that can be deployed, executed, and demonstrated through the platform.

Business use cases supported now

Use case What the business team can present
Multi-step content workflows Build workflows that take structured input, run AI steps, and return generated content plus media references
Repeatable AI operations Turn a repeated AI task into a deployable workflow instead of a one-off prompt
Business process augmentation Use agentic workflows when the customer needs orchestration across several AI components rather than a single endpoint
Internal automation pilots Demonstrate how teams can move from manual AI experimentation to a workflow that can be executed repeatedly

How the three pillars work together

The clearest business story for Syntera Marketplace is the combination of all three pillars:

  • LLMs provide the generation and response layer
  • Vector databases provide retrieval and searchable memory
  • Agentic workflows orchestrate multi-step business logic across AI components

This allows Syntera Marketplace to support a broader AI operating model than a standalone model catalog.

Shared operational capabilities across the platform

Beyond the pillar-specific workflows, users can also:

  1. Access a protected business workspace after authentication
  2. View active subscriptions for LLMs, Vector Databases, and Agentic Workflows
  3. Track usage metrics from the dashboard, including:
  4. Tokens Used
  5. Vector Queries
  6. Workflow Runs
  7. Estimated Cost
  8. Balance
  9. Review distribution of activity across the three pillars from the overview dashboard
  10. Review daily usage trends over time

What Syntera Marketplace is best suited for right now

Syntera Marketplace is best suited for customers who want to:

  1. Quickly discover AI options in one marketplace
  2. Turn those options into usable services without building the full control layer
  3. Hand application teams concrete integration assets such as endpoints, API keys, and workflow access
  4. Keep visibility on usage and cost after deployment

Presenting the platform accurately

When the business team presents Syntera Marketplace, the most accurate message is:

Syntera Marketplace helps organizations select AI components, configure them into usable services, deploy them, test them, and operate them from one platform across LLMs, vector databases, and agentic workflows.

That is the strongest current business story because it reflects what users can actually do in the product today.