qomplement
Spring 2026 NewAPI to turn documents into structured JSON
Our API turns documents into high-quality structured data ready for your pipeline. We lead industry benchmarks for document extraction accuracy, outperforming Azure, Google, OpenAI and AWS.
AI Investor Summary
Qomplement offers an API that transforms unstructured documents into high-quality structured JSON, claiming superior accuracy to major cloud providers. Targeting the vast B2B document processing market, they leverage strong technical talent and early AWS support. The key challenge will be translating their technical edge into scalable customer adoption and revenue amidst fierce competition.
Key Highlights
- ● Claims to outperform major cloud providers (Azure, Google, OpenAI, AWS) in document extraction accuracy.
- ● Positive press coverage and support from AWS's global AI accelerator.
- ● Founders have relevant software engineering experience at growth-stage companies.
Risk Factors
- ● Intense competition from established cloud providers and AI startups.
- ● Demonstrating sustained, scalable customer acquisition and revenue growth.
- ● Maintaining technical leadership and defensibility in a rapidly evolving AI landscape.
Founders
Andrés Garza García is the co-founder of Qomplement, a Y Combinator startup focused on improving team collaboration and productivity. His professional background includes experience in software engineering and product development, with a focus on building scalable solutions. He is a graduate of Tecnológico de Monterrey.
Kerim Taray is a co-founder of qomplement, a Y Combinator startup focused on improving team collaboration and productivity. His professional background includes extensive experience in software engineering and product development. Taray's expertise lies in building scalable solutions and fostering efficient team dynamics.
Score Breakdown
Strong technical team with solid engineering backgrounds from reputable universities and experience at growth-stage companies (Insider, Trendyol). While not explicitly stated, their focus on building scalable solutions suggests good technical depth. Domain expertise in document extraction is implied by the product. No previous exits or highly notable employers, hence not a 9 or 10.
Large addressable market in B2B document processing, a perennial pain point. The growth of AI and the increasing volume of digital documents make this a timely opportunity. Regulatory tailwinds around data standardization and compliance could be a factor. Competitive landscape is intense with major cloud providers and specialized AI companies, but qomplement claims to outperform benchmarks.
Product shows promise with claims of industry-leading accuracy in document extraction, outperforming major cloud players, which is a strong differentiator. The technical differentiation is key here. Defensibility will depend on the proprietary nature of their models and data. UX quality and platform potential are not deeply detailed in the provided information, leaving room for improvement or further investigation.
Early stage with limited public traction data. The news coverage is positive and indicates some early partnerships or interest from AWS, which is a good sign. However, there's no mention of revenue, user numbers, or specific growth rates, making it difficult to assess current momentum beyond initial validation. [Boost +2: Tier-1 VC: accel]
News
Qomplement, a Mexican startup, has developed an AI that operates directly on the user's computer without relying on the cloud, offering a secure and cost-effective alternative for automating repetitive tasks across various software, including legacy systems.
Qomplement, a Mexican startup specializing in AI-powered back-office automation, has been selected for the AWS Generative AI Accelerator (GAIA) 2025 program, receiving up to $1 million in AWS credits and technical mentorship.
Qomplement, a Mexican startup, has been chosen by AWS for its Generative AI Accelerator (GAIA) 2025, which will provide up to $1 million in AWS credits, technical mentorship, and strategic guidance to scale its AI solutions globally.
QOMPLEMENT is an unfunded company operating as a developer of an AI layer for autonomous agent workflow execution, aiming to enable organizations to operate as multi-agent ecosystems.
Qomplement is an AI-powered document automation API platform that extracts data from over 30 file formats and automatically fills PDF forms and Excel templates, serving various industries to eliminate manual data entry.
QOMPLEMENT is an unfunded company operating as a developer of an AI layer for autonomous agent workflow execution, aiming to enable organizations to operate as multi-agent ecosystems.
Qomplement is a B2B SaaS company building an OS-level AI agent that automates repetitive workflows in legacy software without requiring APIs.
Qomplement, founded by Andres Garza and Kerim Taray, is a startup focused on turning companies into multi-agent systems, having raised pre-seed funding and categorized under Artificial Intelligence, Data and Analytics, and Software.
Qomplement is a B2B SaaS company developing an AI agent to automate workflows in legacy software by mimicking human actions, aiming to boost productivity and reduce costs for companies without altering their existing tech stack.
Qomplement is an AI-powered platform designed to convert any document into structured, usable data, extracting text, tables, key-value pairs, and entities to map into various formats like Excel, PDF forms, or databases.
Qomplement offers an API that transforms documents into structured JSON data, claiming to outperform major cloud providers in accuracy for document extraction.
Quick Info
- Batch
- Spring 2026
- Team Size
- 4
- Location
- San Francisco, CA, USA
- Founders
- 2
- Scraped
- 4/10/2026