Fixpoint

Cover Block

Name	Fixpoint
Tagline	Uber for AI trainers and human-in-the-loop supervisors [Y Combinator]
Headquarters	San Francisco, CA [BuiltIn]
Founded	2023 [BuiltIn]
Stage	Seed
Business Model	Marketplace
Industry	HR / Future of Work
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2) [Y Combinator]
Funding Label	Undisclosed (total disclosed ~$1,000,000) [extruct.ai]

Links

• Website: https://fixpoint.co
• Y Combinator: https://www.ycombinator.com/companies/fixpoint
• Work at a Startup: https://www.workatastartup.com/companies/fixpoint
• Product Documentation: https://docs.fixpoint.co/

Executive Summary

Fixpoint is an early-stage marketplace automating the sourcing and management of specialized human labor for AI training. Backed by Y Combinator, the company is positioning itself as an "Uber for AI trainers," focusing on expert annotators and supervisors [Y Combinator]. Founded in 2023 by Dylan Mikus and Jakub Cichon, the startup handles recruiting, vetting, and HR for expert annotators [Y Combinator]. The product combines white-glove staffing services with APIs for sourcing and credential verification [Y Combinator]. With an estimated $1 million in seed funding and a team of three, the company is in a pre-scale operational phase [BuiltIn] [Workable, 2026].

Data Accuracy: YELLOW -- Core product claims are confirmed via Y Combinator launch page, but team and funding details are sourced from limited secondary directories.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	Marketplace
Industry / Vertical	HR / Future of Work
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Undisclosed (total disclosed ~$1,000,000)

How the Company Got Here

Fixpoint was founded in 2023 and operates as a marketplace for on-demand expert staffing in AI data labeling [Y Combinator]. The company is headquartered in San Francisco, California, with a secondary office presence noted in New York [BuiltIn]. Its acceptance into Y Combinator's Winter 2024 batch provides initial capital and network access [Y Combinator, 2026]. The company raised an estimated $1 million in an undisclosed seed round [extruct.ai]. The founding team consists of Co-Founder and CEO Dylan Mikus, based in Brooklyn, New York, and Co-Founder and CTO Jakub Cichon, based in Houston, Texas [RocketReach, 2026][LeadsForge, 2026][Whitepages, 2026].

Data Accuracy: YELLOW -- Core company facts are confirmed by the Y Combinator directory. Team roles and locations are sourced from secondary databases, and the funding amount is reported by a single aggregator.

Product and Technology

Fixpoint's core proposition is a marketplace platform designed to automate the sourcing and management of specialized human labor for AI data operations. The company's public materials describe a service that functions as an "Uber for AI trainers," connecting AI data companies with on-demand, vetted experts for annotation and supervision tasks [Y Combinator]. The platform features a "white-glove expert staffing" service and a set of "sourcing and vetting APIs" that automate the process of finding qualified candidates and verifying their professional credentials [Fixpoint]. Job postings for roles like "Information Security Engineer" and "AI Training Data Specialist" indicate a focus on secure, scalable infrastructure and domain-specific quality assurance [Workable, 2026].

Data Accuracy: YELLOW -- Product claims sourced from company documentation and Y Combinator launch page; technical stack inferred from job postings.

Where the Demand Sits

The market for human-in-the-loop data services is expanding as AI models require increasingly specialized and trustworthy expert input. According to a 2023 report from Grand View Research, the global data collection and labeling market size was valued at $2.22 billion and is projected to expand at a compound annual growth rate (CAGR) of 28.9% from 2024 to 2030 [Grand View Research, 2023]. Demand is driven by the need for high-quality, verifiably expert-labeled data to address pain points such as fraud from unqualified annotators and the manual overhead of recruiting [Y Combinator].

Metric	Value
Total Data Collection & Labeling Market 2023	2.22 $B
Projected CAGR 2024-2030	28.9 %

Data Accuracy: YELLOW -- Market sizing is from an analogous, broader industry report; company-specific demand drivers are cited from its own launch page.

Competitive Landscape

Fixpoint enters a crowded space for AI data labor, positioning itself as a specialized, expert-only marketplace against scaled generalists and integrated incumbents.

Competitor Positioning

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Fixpoint	Expert-only marketplace for AI trainers & supervisors	Seed / ~$1M (estimated)	White-glove vetting for credentialed experts; API for sourcing/verification	[Y Combinator]
Scale AI	Full-stack AI data platform	Late-stage / $1.6B total raised	End-to-end platform with proprietary tools, large workforce, and enterprise contracts	[Crunchbase]
Surge AI	Specialized data labeling for LLMs	Seed / $6.8M (estimated)	Focus on high-quality LLM data with a vetted, US-based workforce	[Crunchbase]
Invisible	Human-in-the-loop operations platform	Late-stage / $125M total raised	Combines workforce with automation workflows for complex business processes	[Crunchbase]

Segment Map and Adjacent Substitutes

The market divides into integrated platforms, specialized labeling firms, and expert staffing marketplaces. Fixpoint operates in the latter. Its closest substitutes are general freelance marketplaces like Upwork or Toptal, which lack built-in vetting for AI-specific annotation tasks [Y Combinator].

Defensible Edge and Durability

Fixpoint's edge rests on its positioning as a pure-play expert network. By automating credential verification through an API, it proposes to solve fraud and quality inconsistency. The durability of this edge is a feature-based advantage, not a structural one, and is perishable if Fixpoint cannot rapidly achieve liquidity before well-funded competitors replicate the expert tier.

Exposure and Competitive Threats

The company lacks the integrated software layer that makes platforms sticky. Its tiny team and undisclosed customer base suggest it has not yet secured anchor enterprise contracts. The company does not own a proprietary data graph of expert performance, which limits its ability to build a data network effect.

Plausible 18-Month Scenario

The winner is the company that first achieves liquidity in the expert segment while layering on a software moat. If Fixpoint can use its YC network to sign flagship AI labs, it could build a defensible business. A more challenging scenario would see an incumbent like Scale AI launch a "Scale Experts" tier, leveraging its existing sales footprint to squeeze out standalone marketplaces.

Data Accuracy: YELLOW -- Competitor funding and positioning are from Crunchbase. Fixpoint's own positioning is from its Y Combinator launch page.

Opportunity

The headline opportunity is to become the default on-demand staffing platform for specialized AI data annotation. If Fixpoint can reliably deliver credentialed experts on demand, it positions itself as a critical quality assurance and workflow layer [Y Combinator].

Scenario	What happens	Catalyst	Why it's plausible
API-First Platformization	Fixpoint transitions from a managed service to an embedded API.	Launch of a self-serve "sourcing and vetting API" [Fixpoint].	Company materials frame automation and APIs as core to the product.
Category Specialization	The company dominates annotation for a high-value, complex vertical.	Securing a flagship contract with a major AI lab.	Initial positioning emphasizes hiring experts like "lawyers" and "PhDs" [Work at a Startup].
Supply-Side Consolidation	Fixpoint aggregates an exclusive network of premium annotators.	Achieving critical mass of experts in a niche domain.	The "Uber for AI trainers" analogy implies a two-sided network model [Y Combinator].

Data Accuracy: YELLOW -- The core opportunity thesis is supported by company statements and the well-documented market need for AI training data.

Sources

1. [Y Combinator] Fixpoint: Uber for AI trainers and human-in-the-loop supervisors | https://www.ycombinator.com/launches/Og8-fixpoint-uber-for-ai-trainers-and-human-in-the-loop-supervisors
2. [BuiltIn] Fixpoint | https://builtin.com/company/fixpoint
3. [extruct.ai] Fixpoint | https://www.extruct.ai/hub/fixpoint-co/
4. [RocketReach, 2026] Fixpoint Information | https://rocketreach.co/fixpoint-profile_b6d305c8c73b6fb0
5. [LeadsForge, 2026] Dylan Mikus based in Brooklyn, NY | https://leadsforge.com/contact/dylan-mikus
6. [Whitepages, 2026] Jakub Cichon Address & Phone Number | https://www.whitepages.com/name/Jakub-Cichon
7. [Y Combinator, 2026] Fixpoint | https://www.ycombinator.com/companies/fixpoint
8. [Fixpoint] Fixpoint - automate your human data ops | https://docs.fixpoint.co/
9. [Workable, 2026] Fixpoint - Current Openings | https://apply.workable.com/fixpoint/
10. [Grand View Research, 2023] Data Collection and Labeling Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/data-collection-labeling-market-report
11. [Crunchbase] Scale AI | https://www.crunchbase.com/organization/scale-ai
12. [Crunchbase] Surge AI | https://www.crunchbase.com/organization/surge-ai
13. [Crunchbase] Invisible | https://www.crunchbase.com/organization/invisible-technologies
14. [Crunchbase, 2021] Scale AI Raises $325M Series E at $7.3B Valuation | https://www.crunchbase.com/article/scale-ai-series-e-2021
15. [Work at a Startup] Fixpoint | https://www.workatastartup.com/companies/fixpoint