Toptal announced the launch of Toptal AI, a new full-stack AI services company that develops, evaluates, and deploys frontier-grade AI using a combination of open-weight and proprietary models, while allowing organizations to retain full ownership and control over their AI systems and data.

The company said Toptal AI launches with more than 200 PhDs in AI-related fields, 100 forward-deployed engineers, and 15 new product lines. It is positioned to serve frontier AI labs, enterprises, and fast-growing startups as a single partner for their AI ambitions.

Toptal was recently ranked the #1 Most Reliable Professional Services Company in America by Newsweek, according to the announcement.

Partner Ecosystem

Toptal AI launches with a curated ecosystem of technology partners, with signed agreements with Anthropic, OpenAI, SpaceXSI, Gemini, Copilot, Amazon Nova, Databricks, Agentforce, ElevenLabs, Lovable, Miro, Fin, Glean, and Writer.

What the AI Stack Covers

According to Toptal, its AI stack comprises AI strategy, solutions and services, partnerships, talent, platforms, data services, and managed services. The company said organizations can:

  • Develop and fine-tune open-weight, domain-specific models tailored to their data and business
  • Deploy production-ready agents that operate across existing workflows while keeping humans in control
  • Commercialize their data and AI capabilities to create new revenue streams, all while maintaining full data ownership

Toptal AI also includes a suite of ready-to-deploy outcome agents tailored to specific industries and business contexts.

Proprietary Platforms

While Toptal AI is described as vendor-neutral, it also has its own suite of products and platforms. These include:

  • AI Workstation, a unified control center for connecting and operating any combination of platforms and tools, regardless of provider or vendor
  • ActionTrace, which captures real work activity across systems and workflows
  • Operationalize, which adds organizational context and establishes a unified business ontology
  • Maestro, which uses that structured data and context to build and manage models and agents
  • RL Refinery, which creates reinforcement learning environments to train models on domain-specific data

Toptal described this suite as a recipe for context and model creation intended to drive enterprise intelligence in a repeatable and scalable format.

Methodology and Managed Services

Toptal said its three-part methodology is designed to ensure AI development at all phases captures, implements, and scales what AI can do with precision, consistency, and cost-effectiveness. The company maintains these systems through MLOps, LLMOps, and managed services.

"Toptal AI gives enterprises the ability to deploy frontier-grade AI while maintaining full ownership and control over their costs, systems, data, and infrastructure,“ said Taso Du Val, founder and CEO of Toptal. ”Our unique combination of AI products and experts makes developing AI agents and fine-tuned models possible at a scale that was previously unimaginable."

Company Background

Toptal describes itself as the world's largest talent network of highly skilled domain experts, connecting businesses with the top 3% of freelance talent on demand. The company said it was ranked the #1 Most Reliable Professional Services Company in America by Newsweek and Statista, based on an independent survey of more than 2,400 decision-makers at Fortune 500s. Its network includes talent from AI leaders such as OpenAI, Anthropic, DeepMind, and Palantir, as reported by Forbes. Founded in 2010, Toptal said it has served more than 35,000 clients across more than 140 countries.