Labelbox

Background agents for recurring engineering work, plus frontier AI training data

Advanced API
Screenshot of Labelbox, Background agents for recurring engineering work, plus frontier AI training data

What is Labelbox?

Labelbox builds training environments and expert data for frontier AI labs, and Recursion, a platform of event-triggered background agents that handle recurring engineering, research, finance and sales tasks and deliver reviewable results.

Labelbox operates on two fronts. For frontier AI labs, it builds the training environments and expert-produced data that models learn from. For enterprises, it offers Recursion, a platform of autonomous agents that take over recurring engineering, research and business tasks. The homepage splits the offer accordingly, with Recursion aimed at enterprise teams and Horizon aimed at frontier AI developers, and a separate expert network page covers the human contributors behind the data. Recursion is the part most buyers will evaluate directly. Instead of acting as an assistant inside an editor, its agents start on their own when something happens: a failing build, an alert, a new checkpoint, a merged pull request or a fixed schedule. They then work in the background until a deliverable exists, usually a tested pull request, a root-cause draft, a report or a brief. The site lists dozens of prebuilt jobs, including a bug fixer, a dependency upgrader, a flaky test fixer, incident investigation, vulnerability patching, eval regression triage, experiment sweeps, forecast refreshes, RFP drafting and vendor risk review. Triggers and outputs tie into tools such as GitHub, Jira, Linear, Slack, PagerDuty, Databricks, BigQuery, Salesforce and Google Drive. In practice, a session is run by a coordinator that delegates to specialist agents, which may run on different models, with a separate grader agent scoring each outcome. Graded sessions leave behind memories, notes and skills that later sessions read before acting, so the system is designed to improve with use. The featured example traces a drop in a model's long-context coding score to its cause, proves it with an ablation and sends the fix for human review. The product suits engineering, ML research, security, finance and sales operations teams with a steady backlog of repeatable work. It sits closer to agent orchestration platforms than to coding copilots, and the same company also competes in the data labeling and evaluation market. Pricing and trial terms are not published on the homepage, so evaluation likely starts with a conversation with sales.

How do you use Labelbox?

  1. 1Review what Recursion does
    Read the Recursion product page to understand how coordinator, specialist and grader agents work together on a task and what they deliver.
    Labelbox — Review what Recursion does
  2. 2Pick a recurring job to hand off
    Browse the prebuilt agents on the homepage, such as Bug Fixer, Flaky Test Fixer or Eval Regression Watch, and choose one tied to a backlog your team already has.
    Labelbox — Pick a recurring job to hand off
  3. 3Check security and data handling
    Look over the company security page to confirm the platform meets your requirements before connecting code repositories or internal data.
    Labelbox — Check security and data handling
  4. 4Talk to the sales team
    Contact sales to discuss access, connect the tools that trigger the agent (for example GitHub, Jira or Slack) and scope a first pilot.
    Labelbox — Talk to the sales team
  5. 5Review graded sessions
    After the agent runs, inspect its deliverable, such as a pull request or report, and its grade, then refine the setup so later sessions improve.

Pros and cons

Pros

  • Agents start on their own from alerts, commits, schedules or API calls, so work proceeds without someone prompting each taskAI
  • Large library of prebuilt jobs across engineering, security, ML research, finance, sales and procurementAI
  • Every run is scored by a grader agent, and graded sessions feed memories and skills into later runsAI
  • Deliverables are concrete and reviewable, such as tested pull requests, postmortem drafts and sourced briefsAI
  • Connects to common work tools including GitHub, Jira, Linear, Slack, PagerDuty, Databricks and SalesforceAI

Cons

  • Pricing, plans and any free trial are not shown on the homepage, so cost cannot be judged before contacting salesAI
  • Aimed at enterprise teams and frontier labs, which makes it a poor fit for individuals or small projectsAI
  • Autonomous agents acting on code, infrastructure and contracts demand careful review and permission setupAI
  • The company serves two audiences (agents and training data), which can make the offering harder to scopeAI
  • No self-serve setup or documentation is linked from the homepage, so onboarding details are unclearAI

How much does Labelbox cost?

Integrations

The homepage shows agents wired to GitHub, Jira, Linear, Slack, PagerDuty, Datadog, Sentry, Jenkins, Vercel, Databricks, BigQuery, Snowflake, Salesforce, Confluence, Notion, Okta and Google Drive.

Features

Event-triggered background agents (schedules, alerts, commits, API calls), coordinator and specialist agents across multiple models, grader agents scoring every run, memory and skills carried between sessions, and prebuilt jobs for engineering, security, ML research, evals, finance, sales and procurement.

Learn more

Frequently asked questions about Labelbox

  • Does Labelbox have an API?
    Yes, Labelbox offers an API.
  • How do you use Labelbox?
    The walkthrough on this page covers 5 steps: 1. Review what Recursion does 2. Pick a recurring job to hand off 3. Check security and data handling 4. Talk to the sales team 5. Review graded sessions.
  • What platforms does Labelbox support?
    Labelbox is available on Web App.
  • What does Labelbox integrate with?
    The homepage shows agents wired to GitHub, Jira, Linear, Slack, PagerDuty, Datadog, Sentry, Jenkins, Vercel, Databricks, BigQuery, Snowflake, Salesforce, Confluence, Notion, Okta and Google Drive.
  • What are the limitations of Labelbox?
    Pricing, plans and any free trial are not shown on the homepage, so cost cannot be judged before contacting sales. Aimed at enterprise teams and frontier labs, which makes it a poor fit for individuals or small projects. Autonomous agents acting on code, infrastructure and contracts demand careful review and permission setup.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid