Engine
Entrepreneur First '19London, GB · Founded 2019 · 2 known investors
EngineLabs offers an AI-powered full-stack engineering team that builds, tests, and ships SaaS products, including a technical lead for architecture and delegation, backend and frontend engineers, and a QA engineer for testing.
Also known as cto · Engine Labs · EngineLabs
Founders & leadership
Engine was founded in 2019 by Simon Spurrier and Petar Besevic.
Investors · 2
Company profile
researched Aug 2026Engine (Engine Labs, enginelabs.ai) offers a chat-driven AI platform for building and running software and business workflows. The current product is presented as a free, ad-supported service that lets users start or grow a company by chatting with AI, without a credit card or personal API keys, with daily usage limits and an optional Premium tier. It routes across multiple third-party foundation models — listing Anthropic's Claude, OpenAI, Gemini, Mistral, Grok and DeepSeek — including an automatic model-selection mode.
The platform is built around multi-agent teams that execute tasks in cloud sandboxes and can browse the web, send email and handle scheduling. It supports MCP servers and skills, with named integrations including Linear, Sentry, Vercel and Notion, and surfaces integration recommendations. Engine also runs a marketplace where users can hire ready-made AI teams or list their own for sale. Advertised team templates include an Engineering Team (technical lead for architecture and delegation, backend engineer for APIs and data layers, frontend engineer for UI, and a QA engineer writing and running tests), a Marketing Agency (strategist, content writer, data analyst) and a Website Creation team for local businesses (market researcher, sales representative, web developer).
Earlier positioning, visible on the company blog through January 2025, described Engine as an autonomous AI software engineer for engineering teams, contrasted against IDE assistants and agentic coding tools, with a December 2024 post claiming a near state-of-the-art score on the SWE-Bench benchmark.
Business model
Engine offers a self-serve AI product that is free to use, funded by advertising, with an optional paid Premium upgrade. Users do not need to supply a credit card or their own model API keys, and usage limits reset daily. The company also operates a marketplace in which users can hire pre-built AI agent teams or list their own teams for sale, creating a second, transaction-oriented channel alongside the core product.
Advertising on the free tier plus an optional Premium subscription upgrade; a marketplace in which AI teams can be listed for sale.
Traction
The website states the product is "trusted by teams" but names no customers, and no user, revenue or headcount figures appear in the sources. The only quantified claim is a self-reported near state-of-the-art SWE-Bench score published in December 2024.
Latest developments
The website now markets a free-forever, ad-supported multi-agent platform with a marketplace of ready-made AI teams, multi-provider model access and MCP-based integrations, a broader scope than the autonomous AI software engineer framing used in the company's January 2025 blog content.
▸Full profile — market position, technology, go-to-market, history, risks & controversies
Market position
Engine positions itself within the AI software engineering and agentic coding tools market, explicitly benchmarking itself against Cursor, GitHub Copilot, Devin AI, JetBrains AI, Bolt and Lovable in its own published comparisons. No independent third-party market share, ranking or funding data for this company appears in the available sources.
Public materials position Engine against IDE-embedded assistants and other AI coding tools (Cursor, GitHub Copilot, Devin AI, Bolt, Lovable, JetBrains AI) as an autonomous, multi-agent system rather than an in-editor assistant. Stated distinguishing features include a free, ad-supported tier requiring no credit card or user-supplied API keys, access to multiple frontier model providers with automatic model selection, cloud sandbox execution, built-in web browsing/email/scheduling, extensibility via any MCP server, and a marketplace for buying and selling pre-configured agent teams.
Technology
A multi-agent orchestration layer over third-party large language models from Anthropic (Claude), OpenAI, Google (Gemini), Mistral, xAI (Grok) and DeepSeek, with an automatic model-routing option. Agents execute in cloud sandboxes described as fast and secure, and have built-in web browsing, email and scheduling capabilities. The platform supports MCP (Model Context Protocol) servers and skills, with integrations including Linear, Sentry, Vercel and Notion, and provides integration recommendations. The company reported a near state-of-the-art score on SWE-Bench in December 2024.
Go-to-market
Self-serve, product-led entry through a free tier with no credit card requirement, supported by a content marketing blog publishing comparison articles against competing AI coding tools and benchmark results. The marketplace adds a two-sided element, inviting users both to hire and to list AI teams. The website references teams already using the product but names no customers.
Founders and small businesses wanting to start or grow a company using AI, engineering teams seeking to ship software faster, and local businesses needing websites; also buyers and sellers of pre-built AI agent teams on its marketplace.
History
The company publishes under the Engine Labs name and maintained an active content blog through at least January 2025, focused on comparisons between AI coding tools (Cursor, GitHub Copilot, Devin AI, JetBrains AI, Bolt, Lovable) and its own product, then positioned as an autonomous AI software engineer for engineering teams. In December 2024 it published a claimed near state-of-the-art SWE-Bench result. The current site presents a broader consumer/business-oriented positioning — "build your business with AI", free forever, with a marketplace of ready-made AI teams covering engineering, marketing and website creation — indicating a shift from a single AI software engineer product aimed at developer teams toward a multi-agent, multi-domain platform.
Risks & controversies
Available sources contain no third-party coverage, funding disclosures, customer references or financial data for the company, so claims such as the near-SOTA SWE-Bench result and "trusted by teams" rest solely on company-published material. The product also depends on third-party foundation model providers (Anthropic, OpenAI, Google, Mistral, xAI, DeepSeek) and competes in a crowded field of well-known AI coding tools.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Timeline · 1
launches, deals, and filingsA company blog post titled "Engine Submits near SOTA score on SWE-Bench" announced the result of the company's autonomous software engineering agent on the SWE-Bench benchmark.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Engineenginelabs.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Engine do?
- Engine Labs runs a free, ad-supported AI platform of multi-agent teams that build software and business workflows via chat.
- Who founded Engine?
- Engine was founded by Simon Spurrier, Petar Besevic in 2019.
- Who are Engine's investors?
- Engine's investors include Entrepreneur First, Wedbush Ventures.
- Where is Engine headquartered?
- Engine is headquartered in London, GB.