Atinary

Teams and Private Workspace

Private vs. Team Workspaces

Working in a Team and Roles

Switching Between Workspaces

Sharing an Experiment

Getting Started

Learn about numerical and categorical variables when setting up an experiment.

Experiment Setup: Defining Your Variables

Writing Effective Expert Context

Updating Expert Context During a Run

Case Study: Optimizing a Suzuki Coupling Reaction

Case Study: Optimizing a Vegan Cheese Formulation

Choose the right multi-objective strategy: Pareto Front, Weighted Sum, or Hierarchy.

Multi-Objective Optimization: Choosing a Strategy

Restrict the optimizer's search space with exclusion, conditional, linear, and subset constraints.

Constraints: Controlling the Search Space

How to provide domain expertise to improve the optimizer's initial suggestions.

Expert Context: Guiding the AI with Domain Knowledge

Experiment Setup

Enforce weighted sums of variables — for mixtures, budgets, and physical limits.

Linear Constraint

Limit how many variables can be active simultaneously.

Subset Constraint

Block values for one variable depending on another variable's value.

Conditional Exclusion Constraint

Block specific values or ranges for a single variable.

Exclusion Constraint

Constraints

Rank objectives in strict priority order with tolerances (Prioritize mode).

Hierarchy

Explore optimal trade-offs between objectives using Pareto Front optimization (Discover mode).

Pareto Front Optimization

Assign percentage weights to each objective to get a single best solution (Prioritize mode).

Weighted Sum

Multi-Objective Configuration

How to define numerical variables with bounds, step size, and units.

Numerical Variables

How to define categorical variables with categories and optional properties.

Categorical Variables

Variables

How to work with the optimizer's recommendations and submit your experimental results.

Suggestions & Measurements

Initial Exploration Phase

Explore how the model's predictions respond as you sweep one factor at a time around a chosen point — without running new experiments.

The Prediction Profiler

AI-generated explanations of recommendations and a tool to query the trained model directly.

Insights & Predictions

Charts and data views for understanding your optimization progress.

Analytics & Visualizations

Running an Optimization

Optimization

Find answers and get help from Intercom Support and Community Experts

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Create your workspace and invite the people you work with.

Set up your account

Build your first workflow and watch it run end to end.

Ship something

Connect the tools your team already uses to bring data in.

Connect your stack

A quick lap of the product so you know where everything lives.

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This prototype demo is aware that you are reading “{title}”. It can point you back to the current article, but a production article-aware Fin contract is still follow-up work.

Prototype article-aware answer

Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

Prototype getting-started answer

In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

Prototype integrations answer

In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

Prototype invite-team answer

This prototype demo does not have a scripted answer for that question yet. Try asking how to invite your team or open a source article. No production Fin API was called.

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