Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Scalebrowser is a desktop browser platform built specifically for AI agents. It gives each agent its own isolated browser profile with a persistent identity, so automations can stay signed in between runs instead of starting from a blank session every time. Agents connect over MCP, Python and Node SDKs, a REST API or direct CDP, and every tool call is captured as a step with a result and a screenshot.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Data Engine
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Model evaluation & benchmarks
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Enterprise AI applications
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic deployment
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
優勢與優點
+Backed by a long track record in training data and model evaluation.
+End-to-end coverage from data sourcing through to deployed systems.
+Experienced with regulated, classified and safety-critical environments.
Benchmarks and leaderboards give an independent view of model capability.
+Strong enterprise and public sector reference customers.
限制
–No public pricing or self-serve signup - you need a sales conversation to get started.
–Enterprise-scale contracting and data operations require real internal commitment.
–Overkill for small teams with modest data or evaluation needs.
–Some projects involve sensitive government and defence work with strict compliance overhead.
Scalebrowser
Scalebrowser is a desktop browser platform built specifically for AI agents. It gives each agent its own isolated browser profile with a persistent identity, so automations can stay signed in between runs instead of starting from a blank session every time. Agents connect over MCP, Python and Node SDKs, a REST API or direct CDP, and every tool call is captured as a step with a result and a screenshot.
Persistent profile identity
Each profile is generated from a seed so its identity, cookies and logins persist across restarts, and sites see the same returning visitor rather than a new device.
Isolated browser profiles
One browser per profile means separate logins, cookies and devices that share nothing, making multi-account automation safe to run in parallel.
Built-in sign-in and 2FA handling
Agents get through username and password forms, email confirmation codes, TOTP and SMS two-factor codes, passkeys and permission prompts without stalling.
Human-like input and captchas
Press-and-hold, image grid, slider and rotation captchas are solved through human-like input rather than third-party solving keys.
優勢與優點
+Strong focus on persistent, isolated identities so agents stay logged in across runs
+Broad integration surface covering MCP, Python/Node SDKs, REST and direct CDP
+
Built-in handling of logins, email codes, TOTP, SMS, passkeys and captchas
+Token-efficient page reading that only reports what changed between steps
+Detailed run trails with screenshots make debugging agent runs easier
限制
–Requires installing a desktop app and running it on your own machine, so it is not a purely cloud-hosted service
–Free tier excludes schedules, webhooks, sync and phone approvals
–Paid tiers meter concurrent browsers, machines and profile counts, which can raise costs for large fleets
–Advanced anti-detection features may raise compliance responsibility with target platforms
