The AI startups quietly outperforming while the giants collapse

The flip side of the AI failures coin

In our article on the big AI failures, we showed that 2026 is the year Sora, the Humane Pin, Microsoft Designer, the Rabbit R1 and Apple Siri publicly crashed and burned. But that picture is only half the story. On the other side, some AI companies are going through one of the fastest growth phases ever seen in the history of software. And their successes tell us something precise about what really works in AI.

Here are the five startups quietly outperforming while the giants bury their failures. And the pattern they all share.

Cursor (Anysphere): from zero to a billion in two and a half years

Cursor is probably the most spectacular growth story in the entire history of software. The AI-based code editor, developed by the startup Anysphere, went from zero to an estimated annualised revenue of between $500 million and $1 billion in just 2.5 years. By way of comparison, Slack took 4 years to reach $100 million, and Zoom 7 years to cross the billion mark.

The success is all the more remarkable given that Cursor invented nothing technically. It is a fork of Visual Studio Code, with native integration of Claude and GPT to help write and fix code. The product established itself within 18 months among professional developers because it did one simple thing better than anyone else: integrating AI into coders' actual workflow, without friction.

Perplexity: 35 million to 450 million in 21 months

Perplexity AI, the conversational search engine based in San Francisco, went from an annualised revenue of $35 million in mid-2024 to more than $450 million in March 2026. The company is aiming for 656 million by the end of the year. Its valuation went from $520 million to $20 billion in 21 months.

The strategic turning point dates from February 2026, with the launch of Computer, a new product that is no longer a chatbot but an orchestration layer capable of using up to 19 different models (OpenAI, Anthropic, Google) to execute multi-step workflows. Instead of asking the AI questions, the user assigns it outcomes to achieve. In a single month, revenue jumped by 50%.

Perplexity now has more than 100 million monthly active users. And unlike many AI startups burning through cash, the company is one of the few to have found a business model defensible against Google: $20/month for Pro, $200/month for Max with early access to Comet (their browser), and $5/month for Comet Plus with an 80% revenue share for partner publishers.

ElevenLabs: the voice layer of global AI

ElevenLabs closed 2025 with more than $330 million in annualised revenue, and raised a $500 million Series D in February 2026 at an $11 billion valuation. Enterprise customers now include Deutsche Telekom and Revolut, and the company is preparing for its IPO.

What makes ElevenLabs particularly interesting in 2026 is no longer the quality of its speech synthesis (everyone has decent voices now). It is that ElevenLabs has locked down the infrastructure layer for voice agents. If you are building a product today that uses a synthetic voice, you are almost certainly building it on their stack. That platform position is exactly what separates the real successes from ephemeral products.

Higgsfield: the creative platform that is sweeping everything

Higgsfield deserves a special mention in this overview, because the company perfectly illustrates how a startup can establish itself without carrying the weight of Adobe or Google. As we detailed in our tutorial on Higgsfield MCP, the platform aggregates more than 30 visual generation models (Soul, Nano Banana Pro, GPT Image 2, Seedance 2.0, Kling 3.0, Hailuo 02, WAN 2.7) under a single interface, with a unified credit system.

Higgsfield's strategic bet differs from that of the giants. Rather than training its own frontier models at astronomical cost (like Sora, which was burning 15 million a day), Higgsfield positions itself as the orchestration layer above existing models. The user no longer has to choose between five different platforms: everything is in Higgsfield, accessible via the MCP server from Claude, OpenClaw, Cursor or Hermes Agent.

The economic lesson is a powerful one. Sora showed that it was virtually impossible to make a video generation service profitable while bearing both training and inference costs. Higgsfield sidesteps the problem: they do not pay for training, they take a margin on the use of third-party models and build loyalty through user experience. It is exactly the same strategy as Spotify's against the record labels.

Anthropic: the fastest growth ever seen in SaaS

Anthropic deserves its place in this ranking, even if it is no longer really a startup. The company went from annualised revenue of around $87 million in August 2023 to $30 billion annualised in April 2026. That is a 344-fold increase in 32 months. No SaaS company in history had ever achieved that pace.

The main engine of this growth is Claude Code, which has transformed the productivity of professional developers, and enterprise penetration via MCP connectors. As we analysed in our article on the OpenAI lock-in, Anthropic is playing a different card from OpenAI: less public hype, more discreet enterprise penetration. The result is unequivocal.

The pattern common to the winners

If you compare these five successes, four traits come up systematically. And each one is the opposite of a failure analysed in our previous article.

Trait 1: a targeted, defined audience. Cursor targets developers, ElevenLabs targets builders of voice products, Higgsfield targets creators. None of these companies tries to be "for everyone". Conversely, Microsoft Designer and Apple Intelligence tried to appeal to as many people as possible, and ended up speaking to no one.

Trait 2: measurable productivity gains. A Cursor developer saves several hours a day. A Higgsfield creator produces in 10 minutes what used to take a day. A Perplexity user finds information in 30 seconds instead of 10 minutes on Google. These gains are concrete, measurable, and justify the subscription. Humane's AI Pin saved nobody any time.

Trait 3: a coherent business model from the outset. None of these companies burns 15 million a day like Sora. They have all structured their pricing around the real cost of usage: credits, multi-tier subscriptions, margins on third-party services. The business model comes before scaling, not the other way round.

Trait 4: a platform position rather than a product position. ElevenLabs is not a voice app, it is the infrastructure behind thousands of voice apps. Higgsfield is not an image generator, it is the aggregator. Anthropic is not a chatbot, it is the model layer for Cursor, Notion, Cowork and thousands of others. This platform position mechanically generates more durable revenue than an end product.

What this changes for anyone wanting to ride the wave

For users, the lessons are simple. Favour tools used massively by professionals (Cursor for developers, ElevenLabs for voice creators, Higgsfield for visuals) over mass-market products that are heavily promoted. The latter often have a short lifespan, as Sora and Designer have shown.

For entrepreneurs and content creators, the pattern is even more useful. The opportunities of 2026-2027 are not to build the next ChatGPT (that race is over). They are to build the next Cursor: a vertical product, tailored to a specific audience, with measurable productivity gains, on a business model that is coherent from day one. As we analysed in our article on AI adoption in France, it is the entrepreneurs who execute quickly and well on these verticals who will take the real market positions over the next 18 months.

The failures are spectacular. The successes are silent. That is probably why we talk more about the former than the latter.