The AI startups to watch in 2026 are not the ones with the loudest chatbots. They are the companies quietly turning models into revenue: agents that resolve support tickets, software that drafts legal work, chips that feed data centers, and trucks that drive themselves.

I have been an Apple loyalist for a long time, and I read AI news the way I read a new Apple keynote, looking for what is real, what ships, and what will end up in my hands. This list follows that rule. Every company here has money, customers, or a product you can point to.

Nine companies made the cut, four from Canada and five from the United States. Here is the quick view before we go deep.

#	Company	HQ	What it does	Latest reported milestone
1	Cohere	Toronto	Enterprise language models	Reported talks at a $20B valuation
2	Waabi	Toronto	Autonomous trucks and robotaxis	$750M Series C, January 2026
3	Tenstorrent	Toronto	AI chips	Among Canada’s best-funded AI firms
4	Ada	Toronto	AI customer service agents	Unicorn since 2021
5	Sierra	San Francisco	Enterprise support agents	$950M raise at $15.8B
6	Harvey	San Francisco	Legal AI	$200M raise at $11B
7	Thinking Machines Lab	San Francisco	Frontier AI research	$2B seed at $12B
8	Cognition	San Francisco	AI software engineer (Devin)	Reported ~$1B annual revenue
9	Cursor (Anysphere)	San Francisco	AI coding agent	Acquired by SpaceX for $60B

Why This Year’s AI Startups to Watch Look Nothing Like Last Year’s List

In 2024, the AI startups to watch were mostly model builders promising a future. In 2026, the winners are the ones selling a measurable outcome today.

Sierra, for example, charges per resolved customer case, so a conversation that a human has to take over costs the customer nothing. Harvey sells into law firms, where every hour is billed. Cohere sells private deployments to banks and governments that cannot send sensitive data to a public chatbot.

Capital is also concentrating fast. Waabi’s early 2026 financing reportedly became the largest single raise in Canadian tech history, and Canada’s federal government announced a fund to help growth-stage AI firms stay in the country, according to Tech Insider’s Canadian startup roundup. The lesson is simple: infrastructure, agents, and vertical software are winning, and generic wrappers are not.

How I Picked These AI Startups to Watch

I used four filters:

Revenue or a shipped product. A demo does not count.
Funding momentum. A recent round or exit within the last 12 months.
A defensible edge. Data, distribution, hardware, or a loyal customer base.
Relevance to everyday tech users. If it will never touch your work or your devices, it is off the list.

Valuations come from public reporting and change quickly. Where sources disagreed, I say “reported” and stay conservative. This is education, not investment advice.

AI Startups to Watch in Canada: Four Toronto-Powered Bets

The best AI startups in Canada share a pattern: research-grade founders, patient capital, and a talent pipeline from the University of Toronto and Vector Institute. Toronto is the hub, and Seedtable’s 2026 Canadian ranking shows it clearly, with Waabi and Cohere at the top.

1. Cohere: The Enterprise AI Bet That Refuses to Chase Consumers

Cohere was founded in Toronto in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst. It skipped the consumer chatbot race and sold to enterprises that want control over their data.

It raised $500 million in August 2025 at a $6.8 billion valuation, then extended that round in September to reach a $7 billion valuation. In April 2026, Schwarz Group committed about €500 million toward a Series E alongside Cohere’s acquisition of Germany’s Aleph Alpha, per Sacra’s company profile.

The latest chapter is bigger. On September 11, 2026, PYMNTS reported, citing The Globe and Mail, that Cohere was in advanced talks to raise $2 billion to $3 billion at a $20 billion valuation. That deal was not final at the time, but it would be the largest private raise by a Canadian startup. Annual recurring revenue was reportedly around $240 million early this year, with most of it from private and on-premises deployments.

Why watch it: Sovereign AI is a real market. Governments and banks want models they can run themselves.

2. Waabi: Physical AI Trained in a Simulator

Waabi is led by Raquel Urtasun, a University of Toronto professor and former chief scientist at Uber’s self-driving unit. Its approach is to train driving AI in a hyper-realistic simulator instead of racking up millions of road miles.

In January 2026, Waabi closed a $750 million Series C led by Khosla Ventures and G2 Venture Partners and became a unicorn, according to Tracxn’s Canadian unicorn list. Uber also reportedly added roughly $250 million in milestone-based capital. The same AI platform is meant to drive both trucks and robotaxis, and Waabi’s driver is integrated into Volvo’s autonomous VNL truck.

Why watch it: The test is real driverless miles on public roads at scale. If Waabi delivers, it changes freight economics.

3. Tenstorrent: The Chip Company Taking on Nvidia’s Gravity

Every AI startup on this list needs compute. Tenstorrent, the Toronto-based AI chip company led by legendary chip architect Jim Keller, builds processors on open RISC-V architecture. Northern Signal’s May 2026 tally ranks it second among Canadian AI companies by disclosed funding, behind only Cohere.

Why watch it: The world wants a credible alternative to a single-vendor GPU supply chain. Open architecture is a strong pitch for that.

4. Ada: Customer Service That Actually Closes the Ticket

Ada, founded in Toronto in 2016, builds AI agents that handle customer conversations for retailers, banks, and telecoms. It joined the unicorn club in 2021 with a $130 million Series C led by Spark Capital at a $1.2 billion valuation.

Why watch it: Support is the clearest early ROI category for AI agents. Ada has years of production data that newer rivals lack, but it now faces intense competition from Sierra and others.

AI Startups to Watch in the United States: Five Big Bets

The top AI startups in the United States operate at a different scale. Bigger rounds, faster revenue, and more exits define this group.

5. Sierra: The Fastest-Growing Enterprise Agent Company

Sierra was co-founded by Bret Taylor, former co-CEO of Salesforce, and Clay Bavor, formerly of Google. In May 2026, Sierra raised $950 million at a $15.8 billion valuation, led by Tiger Global and GV, up from $10 billion the previous September.

Its edge is outcome-based pricing. You pay for resolved cases, not seats, which forces the product to be genuinely good.

Why watch it: If agents become the front door for every brand, Sierra sits at the door.

6. Harvey: The Legal AI Nobody in Law Can Ignore

Harvey started with a lawyer (Winston Weinberg) and an AI researcher (Gabe Pereyra). In March 2026 it raised $200 million at an $11 billion valuation, up from $8 billion three months earlier, and reports put its annual recurring revenue in the hundreds of millions.

The risk is that large model providers are moving into legal products directly, which puts pressure on retention. Harvey’s defense is deep workflow integration inside law firms.

Why watch it: Harvey is the template for vertical AI: high-value documents, professional trust, and painful workflows.

7. Thinking Machines Lab: The Research Lab With a Product Test

Mira Murati, OpenAI’s former chief technology officer, launched Thinking Machines Lab in 2025 with what was reported as the largest seed round in AI history: about $2 billion at a $12 billion valuation. Its first product, Tinker, is an API for fine-tuning open models.

Why watch it: The talent is elite, and the company is now proving it can turn research into products people pay for.

8. Cognition: The Autonomous Software Engineer

Cognition built Devin, an AI agent designed to take on real engineering tickets end to end. It also acquired the Windsurf coding team in 2025. Startup Fortune reported this week that Devin’s revenue had doubled to about $1 billion a year, a figure worth verifying against company statements.

Why watch it: With Cursor absorbed into SpaceX, Cognition is now the most prominent independent player in agentic coding.

9. Cursor (Anysphere): The Exit That Reset the Category

Cursor is no longer a startup, but no honest list of AI startups to watch can skip it. Anysphere raised $2.3 billion at a $29.3 billion valuation in November 2025, according to Wikipedia’s Cursor entry. SpaceX then announced it would buy the company for $60 billion in stock, as CBS News reported. The deal closed on August 14, 2026.

Why watch it: It set the price of a category leader. Every founder and investor in AI coding now benchmarks against it.

Where Apple Fits Into the AI Startups to Watch

Apple fans have a stake in this story. At WWDC in June 2026, Apple unveiled a rebuilt Siri, called Siri AI, running on a custom version of Google’s Gemini model inside Private Cloud Compute, according to Quartz’s WWDC coverage. Apple also introduced an on-device Foundation Models framework for developers, and Xcode 27 adds agentic coding that can tap models from Anthropic, Google, and OpenAI.

Here is my take. Apple chose to partner instead of build its own frontier model, and that opens a door. Apple’s platforms are becoming a distribution channel where specialized AI companies can plug in through App Intents and on-device frameworks. That is why enterprise-focused firms like Cohere and agent builders like Sierra matter to iPhone and Mac users: the more capable the agent layer gets, the more useful your Apple hardware becomes.

Privacy is the other angle. Apple’s pitch is intelligence without handing over your data, and Cohere’s private-deployment model speaks the same language. Expect more of these partnerships to appear in Apple’s ecosystem over the next two years. Also note that Siri AI features were reported to be unavailable in the European Union at launch because of regulation, so where you live affects what you get.

Canada vs United States: Who Is Winning the AI Startups Race?

The US wins on scale. Sierra, Harvey, and Cursor have raised or sold for tens of billions. Canada wins on efficiency and research depth, and it has a few genuinely global contenders in Cohere, Waabi, and Tenstorrent.

The best AI startups in Canada face one recurring problem: keeping their founders and their equity at home. A reported C$500 million federal growth fund, announced in June 2026, is aimed squarely at that problem. For readers tracking Canadian AI companies, the next 12 months will show whether Canada can grow more giants or keeps exporting them.

Risks Before You Bet on Any AI Startup

Valuation risk. Many of these companies trade at very high revenue multiples. Cursor’s sale reportedly came at roughly 15 times revenue.
Platform risk. Model providers can move into the same markets as their customers, as Harvey’s situation shows.
Compute risk. Access to chips shapes who can grow, which is why Tenstorrent matters.
Reporting risk. Revenue figures for private companies are often self-reported, and two sources can give different numbers for the same month.

FAQ: AI Startups to Watch

What are the best AI startups in Canada right now?

Cohere, Waabi, Tenstorrent, and Ada lead this list. Cohere and Waabi have the largest recent funding events.

What are the top AI startups in the United States to follow?

Sierra, Harvey, Thinking Machines Lab, and Cognition are the standouts, with Cursor as the category’s benchmark exit.

Which AI startups to watch are most likely to go public?

Cohere is often discussed as an IPO candidate, though no filing has been announced. Treat any IPO timeline as speculation until a company files.

Can regular investors buy shares in these AI startups?

Mostly not directly. These are private companies. Some, like Cursor, now sit inside public companies such as SpaceX, and that is a different exposure. Speak to a licensed financial advisor before investing.

How often does this list change?

Fast. Funding and valuations shift monthly, so I update this list as major rounds close.

Final Verdict: Which AI Startups to Watch First?

If you follow only three of these AI startups to watch, pick Cohere for enterprise and sovereign AI, Sierra for the agent economy, and Waabi for physical AI. Together they cover software, services, and the real world.

If you are an Apple fan, keep one eye on how Siri AI and the new developer frameworks open the door to outside models and tools. The next great iPhone feature may come from one of these teams. Bookmark this page, because I revise it as new rounds and launches land.

This article is for information only and is not financial advice. Company figures come from public reports and may change.

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