Build

Agent workflows that do data work 24/7

Deploy a DinoAI agent in 5 mins with its own goals, capabilities and choice of LLM models. Trigger on schedule, events, and using API to build complex repeatable workflows for data-intensive tasks.

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Pick a template, build the agent, schedule it in Bolt, and inspect every session
Create an agentStart from scratch, or pick a template that fills in the agent's identity for you.
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Start from scratchA blank agent — write its role, goal and backstory exactly how you want.Start building →

Features

Everything in Agent Studio

The builder, the controls, the models and the environment.

Configure data environment

Give your agent a data environment with its own warehouse connection, data access permissions, dbt™ models, and code repo.

Choose your model family

Pick a model family preset for your agent. Set it in the builder, as model_family in YAML, or per run through the API.

Add your own MCP servers

Connect an external MCP server or your internal MCP gateway to give agents governed access to your enterprise tools for safety and control.

Stateful session history

Each agent run records a session, whether it started from a chat, a Bolt schedule, Slack, or the API. Filter sessions by status, type, and agent, open the full history, and restart from where you left off.

Build from a template

Use in-built template for reliability, quality, cost, code review, documentation, and analytics. Start from scratch to build your own.

Allowlist of tools

Choose exactly which tools an agent may use including MCP tools, in the builder or as an allowlist in YAML.

Workflows

What you do in Agent Studio

From a template to an automated workflow saving hours of toil everyday.

Join industry leaders winning with DinoAI agents

Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.