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.
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.
Build
Build an agent in 5 mins
Pick a template and add your data environment, update goals, give tools and model access, and deploy in UI or as YAML.
Define
Agents-as-code
Define a DinoAI agent as code and git-tracked. Build your agents from the terminal, or Claude Code for the ultimate developer experience.
Try
Test your agent before rollout
Most agent POCs fail but not on Paradime. Chat with your agent to verify its working correctly, before you deploy into production.
Compose
Agent squads for complex tasks
Build agent squads for complex tasks where a supervisor agent delegates tasks to sub-agents built for specialist tasks.
Audit
Session history
Every agent run creates a searchable session with a transcript, its source, credits consumed, runtime, and a Stop button so you can always go back and see what the agent did.
Steer
Skills and rules
All agents come with in-built compatibility for Claude Skills, AGENT.md, and our own .dinorules so your agents behave based on your terms and standards.
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.