Onyx AI

AI that helps you understand, build, and act.

Give Agent Research a question or a task, build application features in Workspaces, and train predictive models from your data. Connect reusable agents and published predictions to the applications you create in Onyx.

  • Agent Research

    Investigate your data and create dashboards, scripts, and other resources with the permissions you grant.

  • Agent Builder workflow trees

    Replace prompt chains with inspectable workflow trees where each step performs a deliberate action with tool access.

  • Model Builder

    Map training data from saved queries, train neural networks, and publish models for application predictions.

  • Application Workspaces

    Build with an AI coding agent, review changes, preview your app, and publish versioned releases.

Agent Research

From a question to work you can use.

Investigate data, create resources, and carry out permitted operations. Follow the progress and keep the findings, files, and context for your next task.

Choose how the agent works

Select an available Onyx model or a connected personal Codex account, then choose a supported thinking level. Follow-ups and saved progress help you continue an investigation.

Give each task the right permissions

Start with read-only analysis, grant specific actions, or use Full Control for every action your current role permits. The dashboard remembers your selections for this database.

Turn findings into resources

Allow the agent to create visualizations, dashboards, documents, scripts, or draft agents. Schema changes, data updates, and maintenance each have their own permissions.

Keep useful work moving

Review concise answers and downloadable evidence. With the relevant grants, run saved scripts or set up recurring work. Manage ongoing schedules in the Scripts scheduler.

Read the Agent Research guide →

One platform, from data to application

Everything you build, connected.

Develop your application in Workspaces, put Agent Research to work, and bring your database and AI models into the same development process.

Workspaces

Build the application around your idea.

Start a web or mobile app, choose a sample with its own database, or import a GitHub repository. Give an agent coding tasks, review its changes, and try the application in a private preview.

  1. 1.Create
  2. 2.Preview
  3. 3.Publish
  • Keep application code, Git history, and agent conversations together.
  • Start with managed Onyx credentials and configure Firebase for deployment.
  • Publish web releases or build Android and iOS apps through Expo.
Explore Workspaces

Agent Research

Investigate, understand, and act.

Give an agent a question or a task. It investigates your data, runs analysis, and can create dashboards, scripts, documents, and other resources with the permissions you grant.

  1. 1.Ask
  2. 2.Investigate
  3. 3.Act
  • Choose the model, thinking level, and actions available to each task.
  • Follow progress, review evidence, and download supporting files.
  • Continue with follow-ups or resume interrupted work from saved progress.
Explore Agent Research

Onyx Database

Give your application a connected foundation.

Model your data, define relationships, search records, and access your backend through APIs and SDKs. The database sits alongside the tools you use to build your application.

  1. 1.Model
  2. 2.Query
  3. 3.Connect
  • Work with structured data, schema-defined relationships, and search.
  • Manage schemas, access keys, snapshots, and database deployments.
  • Integrate through TypeScript, Python, Kotlin, and Go SDKs.
Explore the database

Model Builder

Turn database queries into predictions.

Build neural networks from saved Onyx queries. Map features and targets, configure the architecture, monitor training, and publish a model your applications can call.

  1. 1.Map data
  2. 2.Train
  3. 3.Predict
  • Configure input transforms, output mappings, and model layers.
  • Inspect training runs and test published model versions.
  • Predict from input objects or saved scripts through the API and TypeScript SDK.
Explore Model Builder

Ready to integrate a published model? Read the Prediction API reference →

Knowledge Ingestion

Give your agents useful context

Upload documents and crawl domains to provide supporting context. Structured data remains the foundation for grounded, current answers.

Document ingestion (supporting context)

Upload PDFs, spreadsheets, HTML exports, and knowledge articles so your agents can cite and enrich answers without turning documents into your source of truth.

Automated website crawling

Crawl a domain on a schedule and keep policy hubs, help desks, and marketing sites indexed as they change—without manual exports or sync work.

Knowledge search & references

Index files and crawled pages so agents can retrieve relevant passages and return grounded responses backed by searchable references.

Live structured data context

Blend documents with direct database querying so responses stay current and reflect the real state of your system—without ETL or stale snapshots.

Agent Builder

Workflow-driven agents with direct access to structured data

Onyx agents don’t just retrieve text—they execute plans: query tables, traverse relationships, and produce reusable outputs.

Agent Builder (workflow trees)

Design agents as explicit workflow trees. Each node performs a deliberate step and can call tools to query, traverse, and compute over your Onyx data.

Structured data search (the foundation)

Agents can search tables directly—filter, aggregate, and compute on live structured data—then enrich with documents only when it adds value.

Relationship-aware execution

Traverse resolver-defined relationships to pull connected context across your model without stitching graphs over the network or relying on brittle joins.

Tool execution with governance

Give agents tool access to your data with the same approvals, visibility, and audit trails you use across Onyx Cloud.

Synthesis and outputs

Produce reusable artifacts—not just answers: computed metrics, structured datasets, narrative explanations, and visualization-ready outputs.

Business Impact

Outcomes across every team

Build agents that compute answers from live structured data, with documents used only as supporting context.

Startups & small businesses

  • Ship an internal or customer-facing assistant grounded in live structured data, with documents used as supporting context.
  • Replace brittle prompt chains with workflow trees that are inspectable, testable, and reusable across your team.
  • Move fast without building a separate search or RAG pipeline just to keep answers current.

Growing revenue teams

  • Surface account health, usage, and lifecycle events by querying live telemetry instead of relying on stale dashboards.
  • Generate briefings and follow-ups informed by structured data and enriched with the right docs when needed.
  • Share durable outputs across teams—workflows, datasets, and narrative summaries—rather than one-off chats.

Enterprise operations

  • Keep policies and portals searchable via crawling and ingestion, while still treating the database as the system of record.
  • Empower operations leads with agents that can compute answers over structured data and explain exactly how they arrived there.
  • Apply governance consistently across agents, tools, and data access in one platform.
Use Cases

Put agents to work across your system

From support and analytics to investigations and briefings—agents compute on live data and produce reusable artifacts.

Internal business assistant

Answer operational questions by querying live structured data, then enrich with policy docs, runbooks, and knowledge articles when relevant.

Sales & success intelligence

Compute account health, adoption milestones, and next-step recommendations from live data—no manual dashboard building required.

Product research agent

Aggregate feedback, tickets, and usage analytics, then generate structured summaries and prioritized recommendations as reusable outputs.

Operational investigation

Trace incidents through connected data, traverse relationships, and produce a clear narrative backed by the exact queries and references used.

Knowledgebase enrichment

Continuously ingest documents and crawl sites so agents can cite the latest materials—without turning documents into your primary data model.

Executive briefing generator

Generate weekly KPI briefs that pair narrative insight with computed metrics pulled directly from live structured data.

Why Onyx

Built for agents that operate on reality

Onyx makes structured data queryable by tools, relationships traversable by design, and workflows reusable—so agents can do real work.

Structured data first

Most AI platforms stop at document search. Onyx agents compute answers by querying live structured data and traversing relationships, then use documents as enrichment.

Agents as workflows, not prompts

Define behavior explicitly with workflow trees. Each step is inspectable, reusable, and grounded in tool execution against your real data model.

Database-native execution

Resolvers execute inside the database system. Graph attachment happens at the model level—without stitching graphs over the network.

Integration everywhere

Invoke agents through REST APIs, WebSockets, SDKs, background jobs, or application hooks—so AI becomes part of your system, not a separate tool.

Dashboard panels showing Onyx AI database capabilitiesInterface mockups illustrating governance features in Onyx AI

Bring AI into the application you build.

Start an application in Workspaces, investigate your data with Agent Research, and connect agents and model predictions through Onyx APIs.