LinkedIn Top Startups 2026:
Smaller Teams, Bigger Bets

What the list measures, and what it doesn't

LinkedIn News has published the ranking for a decade. It is built entirely on LinkedIn data, across four pillars measured from July 1, 2025 to June 30, 2026:

• Employment growth: percentage headcount increase, with a 5% minimum.
• Engagement: views and follows of the company page by non-employees, and views of its employees' profiles.
• Job interest: how often people view and apply to its jobs.
• Attraction of top talent: the share of its workforce recruited from LinkedIn Top Companies.

To qualify, a company must be independent, privately held, five years old or younger, have at least 30 full-time employees, and be headquartered in the U.S. Companies that cut 10% or more of their workforce since July 2025 are excluded.

Read it for what it is: a measure of labour-market momentum. It tells you where people want to work and which companies are hiring hard. It says nothing directly about revenue, margins or product quality, and the layoff rule removes companies at the entry gate that may simply have been disciplined. LinkedIn does publish a decent track record: of the 315 companies ranked since 2017, 27% went public or were acquired, 52% became unicorns, and 5% shut down. Note that a unicorn valuation is a private mark, not a return.

Finding 1: AI is the majority, and nearly all of the young

LinkedIn's own framing is that today's startups are "leaner, younger and built to scale faster, with AI increasingly at the center of how they operate." To put a number on it, we sorted all 50 by what they sell. The categories are ours, not LinkedIn's.

AI labs and models

4

AI infrastructure

4

AI training data

2

AI apps, agents and services

18

Health and care

6

Fintech and finance software

7

Security

3

Defense and autonomy

2

Consumer brands

4

Seven of the top 10 are AI companies: Anthropic, Mercor, Perplexity, Harvey, OpenEvidence, ElevenLabs and Sierra. The age split is starker. The list skews old within its five-year window (17 companies were founded in 2021), but of the 21 founded in 2023 or later, 17 are AI-native. Outside AI, the new arrivals are rare: Epia Neuro, Corgi, Nebulock and Icarus.

Finding 2: small teams, uneven capital

LinkedIn says this year's honorees have about a third as many employees as the 2017 class and are on average a year and a half younger. In the 2026 data, the median company has about 190 employees. 23 of the 50 have 150 or fewer, and 13 have 100 or fewer. Only four pass 1,000: Anthropic, Saronic, Harvey and Midi Health.

Headcount and capital no longer move together. Using the funding figures LinkedIn reports, and leaving out Anthropic (whose $132B is more than four times the other 43 disclosed totals combined), the median company has raised about $1.1M per employee. The spread is wide, and it sorts by business model:

The pattern: capital in AI goes to compute, not payroll. Model, chip and agent builders raise many millions per head. The companies with the most people per dollar deliver a human service, such as nurse practitioners at Midi, patient advocates at Solace, and dietitians at Nourish (350 corporate staff plus more than 3,000 clinicians). "Lean" describes the AI-native half of the list far better than the whole.

Headcounts are company-reported or LinkedIn estimates rounded to the nearest five, and funding is as LinkedIn lists it (we use the low end of Perplexity's $1.5B to $1.7B range). Seven companies, Anthropic included, are left out of the per-employee figures: Anthropic as an outlier and six because no funding was listed. Treat the ratios as orders of magnitude.

Finding 3: the agents are selling work, not seats

The largest single group is applications that do a job rather than assist with one. Sierra and Decagon handle customer service (returns, refunds, mortgage refinancing, insurance claims). Serval takes on IT help desk work, Rogo prepares pitchbooks for banks, Harvey does legal research and contract drafting, Cognition builds and ships code, and Actively and Monaco run sales prospecting. Sierra, LinkedIn notes, is used by nearly half of the Fortune 50, and more than three-quarters of the Am Law 100 use Harvey.

The job titles show what this takes. Alongside software engineers, the most common titles include Agent Engineer and Agent Strategist at Sierra, Agent Development Manager at Decagon, Deployment Strategist at Serval and Deployment Lead at Rillet. These are people whose job is to make the product work inside a customer's operations. Selling outcomes means owning implementation.

The services version is on the list too. Tenex, co-founded by Alex Lieberman of Morning Brew, helps companies become AI-native with engineering squads that, per LinkedIn, "bill for features shipped rather than hours worked." For an agency like ours, that is the pricing model to take seriously.

Finding 4: human expertise is now a top-tier AI business

The No. 2 company is not a model builder. Mercor recruits, vets and pays experts such as doctors, lawyers and bankers to produce the training data and evaluations frontier labs use, and LinkedIn reports NVIDIA may invest at a valuation of up to $20B. At No. 31, AfterQuery does similar work and, per LinkedIn, reached a rumoured $3.2B valuation 18 months after joining Y Combinator, the fastest unicorn in the accelerator's history.

AfterQuery has the lowest funding per employee of any AI company on the list, and Mercor sits below the median: their product is people. We have written about this layer of the market before, in Build the Environments, Not the Workforce on digital training data and in The Five Muscles of Physical AI on robot data. The list confirms the demand side. The open question is whether expert marketplaces can stay ahead as labs shift to environments and verifiers that need less human labelling per unit of progress.

Finding 5: "Member of Technical Staff" has escaped the labs

Frontier labs such as OpenAI and Anthropic popularised a single, flat title for technical employees. In 2026 it is among the three most common titles at 17 of the 50 companies: not only labs like Anthropic, Thinking Machines Lab and Reflection, but also application companies such as Decagon, Profound, Listen Labs, Rogo and Wispr Flow. It is a small signal, but it says something about how these companies want to be seen by the engineers they are competing for: as research-grade teams, not product shops.

Finding 6: outside AI, distribution and care

The 22 non-AI companies are not a random remainder. Two patterns stand out.

• Consumer brands built on audiences. Feastables was co-founded by MrBeast, Vacation grew on organic and influencer-driven social virality, and Fora turned travel advising into a platform where, it says, 97% of more than 15,000 advisors had no prior experience. The moat is distribution, not technology.
• Healthcare that ships people. Function Health, Midi, Solace, Nourish and CareYaya each wrap software around a human service: lab testing, clinicians, advocates, dietitians, student caregivers. Add OpenEvidence and Qualified Health on the AI side and Epia Neuro's brain-computer interface, and eight of the 50 are in health.

Security (Cyera, Chainguard, Nebulock), defense autonomy (Saronic, Icarus) and fintech, from Bilt's rent rewards to Phantom's crypto wallet, fill out the rest.

Finding 7: two cities

San Francisco is home to 21 of the 50 headquarters, and 26 counting the rest of the Bay Area. New York has 12, including ElevenLabs, which lists New York and London. Together that is 38 of 50. Miami, with OpenEvidence, Comfrt and Vacation, is the only other city with more than two. LinkedIn publishes separate local lists for Austin, Boston, Chicago, Dallas, Denver, Los Angeles, Seattle and Washington, D.C., which are the better place to look for momentum outside the two hubs.

What we take from it

All 50, at a glance

Rank, headquarters, founding year and headcount as reported by LinkedIn; the category is our classification. Descriptions, skills and job data for each company are in LinkedIn's full list.

Source: LinkedIn Top Startups 2026: The 50 U.S. companies on the rise, LinkedIn News, October 14, 2026, including its methodology. Counts, medians, categories and per-employee ratios are Serverless Ventures' calculations from the figures in that article. Valuations described as reported or rumoured are LinkedIn's characterisation and are unconfirmed.