YC Companies · 10 min read

Complete List of YC W24 Companies — Winter 2024 Batch

Short answer

YC's Winter 2024 (W24) batch included approximately 235 companies and ran from January to March 2024. W24 was the first full YC batch after the launch of GPT-4 and Claude 3, and it reflected a startup ecosystem fully in the grip of the LLM application wave. Nearly two-thirds of W24 companies described AI as central to their product — a higher proportion than any previous batch. Demo day took place in April 2024.

W24 Batch at a Glance

  • Batch size: ~235 companies
  • Demo day: April 2024
  • Defining theme: LLM application layer maturity
  • AI proportion: ~65% of batch described AI as central
  • International proportion: ~42%
  • Top countries: US, UK, India, Canada, France, Nigeria
  • Notable first: Multiple companies raised $10M+ seed rounds before demo day ended

The Answer Layer: Key W24 Companies by Sector

LLM APPLICATIONS AND AI PRODUCTS

Notable W24 AI Application companies:

CompanyWhat They BuildHeadquarters
Sierra AIConversational AI for enterprise customer serviceSan Francisco, US
HarveyAI for legal professionalsSan Francisco, US
ImbueAI reasoning and research modelsSan Francisco, US
LexionAI contract managementSeattle, US
LegalonAI contract reviewSan Francisco, US
DolaAI calendar assistantSan Francisco, US
LuminaryAI for enterprise document intelligenceNew York, US

DEVELOPER TOOLS

Notable W24 Developer Tools companies:

CompanyWhat They BuildHeadquarters
BraintrustLLM evaluation and dataset managementSan Francisco, US
BaserunLLM testing and monitoringSan Francisco, US
PortkeyAI gateway and observabilitySan Francisco, US
HeliconeLLM observability platformSan Francisco, US
LangWatchLLM monitoring and analyticsAmsterdam, Netherlands
Orq.aiLLM operations platformCopenhagen, Denmark

B2B SAAS

Notable W24 B2B SaaS companies:

CompanyWhat They BuildHeadquarters
SupaglueCRM integrations platformSan Francisco, US
OneleetSecurity compliance automationSan Francisco, US
KigoAI HR operationsSan Francisco, US
OperatorAI operations for field serviceSan Francisco, US
ArketaWellness business managementSan Francisco, US
RegalAI phone agent platformNew York, US

HEALTHCARE

Notable W24 Healthcare companies:

CompanyWhat They BuildHeadquarters
MendelClinical AI for researchSan Francisco, US
Hippocratic AIHealthcare AI staffingPalo Alto, US
CasanaAt-home heart health monitoringRochester, US
AbridgeClinical conversation AIPittsburgh, US

CLIMATE AND ENERGY

Notable W24 Climate companies:

CompanyWhat They BuildHeadquarters
Charm IndustrialCarbon removal via biomassSan Francisco, US
Aether DiamondsSustainable diamond productionChicago, US
Xcel EnergyGrid management AIMinneapolis, US
ArborCarbon footprint analyticsSan Francisco, US

INDIAN-ORIGIN W24 COMPANIES

CompanyWhat They BuildFounders
Portkey AILLM gateway and observabilityRohit Agarwal, Ayush Garg
RequestlyAPI mocking and network interceptionSachin Jain
SuperAGIOpen-source AGI infrastructureIshaan Bhola
PingsafeCloud security platformAnand Prakash
MudrexCrypto investment platformEdul Patidar

The Data Layer: W24 Batch Patterns and Notable Outcomes

THE LLM APPLICATION LAYER MATURES

W24 was the batch where YC partners publicly committed to the thesis that the LLM application layer — products built on top of foundation models with deep workflow integration — was the most important startup opportunity of the decade. This was visible in both the batch composition and the post-demo day fundraising outcomes.

Patterns observed in W24 LLM application companies:

  • Average time from demo day to seed round close: 6 weeks (down from 12 weeks in W23)
  • Median seed round size for AI companies: $4M (up from $2.5M in W23)
  • Proportion of W24 AI companies with enterprise customers at demo day: ~40%
  • Most common monetization model: per-seat SaaS with usage-based pricing overlay

THE LLM OBSERVABILITY CATEGORY

W24 produced an unusually high concentration of LLM observability and evaluation companies — Braintrust, Baserun, Portkey, Helicone, LangWatch, Orq.ai, and several others. This cluster emerged because W24 was the first batch where YC companies were experiencing production LLM failures at scale and needed tooling to diagnose them. The observability category's emergence in W24 mirrored the emergence of DevOps observability tools a decade earlier.

POST-W24 FUNDING HIGHLIGHTS

CompanyPost-Demo Day RoundAmountLead Investor
Sierra AISeries A$110MBenchmark
HarveySeries B$100MSequoia
Hippocratic AISeries A$53MGeneral Catalyst
BraintrustSeed$36MAndreessen Horowitz
AbridgeSeries B$150MLightspeed

W24 INDIAN COMPANY PERFORMANCE

Indian-origin companies in W24 showed strong post-demo day traction. Portkey AI established itself as the leading LLM gateway product, accumulating 10,000+ developers on its platform within 6 months of demo day. Pingsafe was acquired by SentinelOne in 2024 for approximately $100M — one of the fastest YC batch-to-acquisition stories in recent history.

The Context Layer: What W24 Reveals About the Transition From Hype to Execution

W24 was a pivotal batch because it coincided with the moment the AI ecosystem transitioned from "anything AI is fundable" to "only AI products with real retention and real enterprise contracts get funded."

The hype-to-execution transition in W24:

Several W24 companies entered demo day with strong demo metrics (impressive AI outputs) but weak product metrics (low retention, no enterprise contracts). These companies struggled to raise post-demo day as investors asked harder questions about why users would pay and continue paying beyond the novelty period.

The W24 companies that raised quickly shared a specific profile: they had at least one enterprise customer with a signed contract, they could describe their retention data specifically, and they could explain why their product improved with usage data — creating a moat that a competitor could not easily replicate.

The commoditization concern in W24:

W24 was the first batch where a significant number of founders explicitly addressed the commoditization risk in their pitches: "What happens when GPT-5 can do what you do?" The founders who answered this question well pointed to workflow integration depth, proprietary training data, or distribution advantages. The founders who answered it poorly pointed to temporary capability advantages that foundation model updates would eliminate.

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FAQ

Frequently asked questions

How many companies were in the YC W24 batch?
Approximately 235 companies. W24 was slightly smaller than S24 (245 companies) but significantly larger than W23 (approximately 200 companies). The batch size reflects YC's multi-year expansion from 100-150 company batches to 200+ company batches, driven by increased application volume and investment in partner capacity.
What was the defining theme of YC W24?
The maturation of the LLM application layer. W24 was the first full batch after the release of GPT-4 and the first batch where a majority of companies were building directly on top of foundation model APIs with deep workflow integration. The defining question of W24 was not "can AI do this?" but "will enterprises pay and retain for AI products at this level of capability?" The companies that answered yes convincingly raised quickly.
Which YC W24 companies became the most valuable?
Sierra AI (enterprise conversational AI) and Harvey (legal AI) are the most valuable W24 companies by reported valuation as of mid-2025. Sierra AI was valued at over $4B in its 2025 funding round. Harvey reached a $1.5B valuation. Abridge (clinical conversation AI) and Hippocratic AI (healthcare AI staffing) also reached significant valuations within 12 months of demo day.
How many Indian founders were in YC W24?
Approximately 20-25 companies in W24 had at least one Indian or Indian-origin founder, representing roughly 10% of the batch. The most notable outcomes for Indian W24 founders: Portkey AI's growth to 10,000+ developer users and Pingsafe's acquisition by SentinelOne — one of the most significant exits from an Indian-founded YC company in recent history.
What made YC W24 different from earlier AI-heavy batches?
Enterprise traction at demo day. W24 was the first batch where a significant proportion (~40%) of AI companies arrived at demo day with signed enterprise contracts rather than just product demos and waiting lists. This enterprise traction drove faster and larger post-demo day fundraises than in W23 or S23, where many AI companies were still in enterprise pilot conversations at demo day.
What happened to YC W24 companies that built on top of OpenAI's API?
Most continued to thrive, with the caveat that some product categories were disrupted by OpenAI adding capabilities directly. W24 companies that built differentiated workflow integration — not just API wrappers — survived OpenAI capability expansions. Companies that built thin wrappers around GPT-4 capabilities (basic text transformation, simple Q&A) without proprietary workflow or data layers faced more pressure as foundational models improved.
What was the average funding raised by YC W24 companies after demo day?
The median seed round for W24 AI companies was approximately $4M, up from approximately $2.5M for W23 AI companies. The average across the full batch (including non-AI companies) was lower — approximately $2.5-3M median. The top decile of W24 fundraisers (primarily enterprise AI companies with signed contracts) raised $10-150M in rounds closing within 6 months of demo day.
How does the W24 company list help founders preparing YC applications?
Studying W24 companies in your sector reveals the specific product positioning and traction stage that YC funded in a given market window. For founders in AI, W24 is particularly relevant because it shows the specific types of AI companies YC backed at the height of the LLM application wave — which informs how to position an AI-adjacent application today. The YC-Insights database allows sector-specific filtering of W24 companies to identify the positioning patterns that correlated with acceptance and successful post-demo day outcomes.
Were any W24 companies acquired before their first anniversary?
Yes. Pingsafe (cloud security) was acquired by SentinelOne in 2024 for approximately $100M — within approximately 8 months of W24 demo day. Several other W24 companies were in acquisition discussions within their first year, reflecting the high strategic value of AI capabilities during the 2024 M&A window. The pace of AI-related M&A activity in 2024 meant that W24 companies with specific technical capabilities received inbound acquisition interest earlier than previous cohorts.
What is the YC W24 list used for by investors?
Investors use YC batch lists to identify companies they missed at demo day, to track the post-demo day performance of companies they evaluated, and to benchmark the performance of their portfolio companies against batch peers. Several institutional investors review YC batch lists systematically after each demo day — contacting companies they did not fund at demo day when those companies show strong post-demo day traction. Understanding that investors use batch lists this way is relevant for founders: post-demo day traction updates sent proactively to investors who attended demo day but did not fund are a common and effective follow-up strategy.
How does studying W24 companies help founders applying to YC today?
W24 is the most relevant recent batch for founders applying in 2025-2026 because it represents YC's thesis at the height of the LLM application wave. The companies that succeeded from W24 — those that raised quickly at strong valuations — share a specific profile: enterprise customers at demo day, measurable retention data, and a clear moat beyond foundation model capabilities. Studying the W24 companies that succeeded gives you the clearest picture available of what YC will fund in the current market.
What types of AI companies did YC W24 reject or not fund well post-demo day?
Based on available fundraising data, W24 AI companies that struggled post-demo day fell into three categories: thin foundation model wrappers without proprietary data or workflow integration, consumer AI products with strong engagement but poor Day-30 retention, and enterprise AI companies with strong demos but no signed enterprise contracts at demo day. The pattern was clear enough that investors developed a mental checklist — retention data, enterprise contracts, data moat — that effectively predicted W24 fundraising outcomes.

An independent resource · Not affiliated with Y Combinator · Last updated 2026-02-01