Press release
Keymakr launches new LLM suite with agent training data solutions and tools to support the next generation of AI systems

Keymakr, a global provider of high-quality AI training data solutions, announces a new suite of tools and services focused on data
With the rapid growth of autonomous AI assistants, coding copilots, research agents, and multimodal systems, companies increasingly need high-quality domain-specific datasets and human feedback pipelines to ensure models perform reliably in real-world environments. Keymakr's LLM tools and solutions address this need by providing expert-validated training data, reinforcement learning from human feedback, and safety evaluation workflows for enterprise AI teams.
Expanding into dedicated LLM and agentic AI operations
Keymakr has long been collaborating with global technology companies and government organizations on data projects for AI agents and advanced AI systems, accumulating significant experience in this field.
In parallel, the company has significantly advanced its Keylabs platform, introducing enhanced text-labeling tools, RLHF workflows, and agent behavior evaluation capabilities tailored for LLM training. The platform now supports scalable multi-turn dialogue annotation, preference ranking, and structured evaluation pipelines, enabling more efficient and reliable development of agentic AI systems.
These technological advancements, combined with accumulated expertise, are now driving the creation of the new LLM suite of tools and services. Particularly, Keymakr dedicated strategic business divisions, with specialized teams, processes, and operational structures focused on LLM and agentic AI.
"LLM agents are now doing everyday things - building websites, ordering products, and so on. However, there's a fundamental gap - models are only as reliable as the data that teaches them to work with these tools," said Anna Sovjak, Chief Revenue Officer at Keymakr. "What we're building with Keylabs is a system for structuring human judgment at scale, ensuring that agents perform by expert benchmarks and are ready for deployment in real-world environments."
Full-cycle data solutions
Keymakr's LLM agent training suite combines expert human validation with scalable data pipelines to help companies train, fine-tune, and evaluate AI systems across a wide range of use cases.
These solutions include:
- Training data for agentic AI models to improve reasoning, planning, and decision-making capabilities
- Reinforcement learning from human feedback (RLHF) to align models with human preferences and domain standards
- AI safety testing and red-teaming to identify risks and vulnerabilities in agent workflows
- Data for reasoning, coding, and creative AI systems
- Multimodal and vision-language data preparation for next-generation AI applications
- Simulation environments and virtual RL training scenarios for agent evaluation
Domain expertise at scale
The LLM direction builds on Keymakr's decade-long experience delivering training datasets for computer vision, robotics, physical AI, and machine learning systems. The company operates with an in-house team of more than 600 specialists and a multi-layer quality assurance system, enabling it to scale complex data operations for enterprise AI projects.
A key component of this strategic direction is Keymakr's network of domain experts across industries, including healthcare, engineering, agriculture, software development, and finance. These specialists help create and validate datasets that reflect real-world workflows and terminology, improving model accuracy and contextual understanding.
"Scaling LLM systems is a knowledge challenge," said Anna Sovjak. "The real differentiator is how well models understand domain-specific context and edge cases. Offering our domain expertise with structured data workflows, we enable AI systems to move from generic responses to truly reliable performance."
Keymakr
99 Wall Street #423, New York City NY
10005
Olena Butenko PR manager Keylabs.ai/Keymakr pr@keymakr.com
Keymakr is a global provider of AI training data solutions, specializing in data annotation, dataset creation, validation, and data operations for machine learning systems. The company supports organizations building computer vision, multimodal, and physical AI, robotics, and LLM-based agent systems, delivering high-quality datasets through a human-in-the-loop approach and proprietary tools developed within the Keylabs platform.
This release was published on openPR.
Permanent link to this press release:
Copy
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.
You can edit or delete your press release Keymakr launches new LLM suite with agent training data solutions and tools to support the next generation of AI systems here
News-ID: 4448597 • Views: …
More Releases from Keymakr
WasteVision AI Partners with Keymakr to Revolutionize Waste Management with Adva …
(New York, 06.10.23) - WasteVision AI, a pioneer in the waste management technology sector, has unveiled its strategic collaboration with Keymakr, a front-runner in data annotation. This alliance is geared towards leveraging Keymakr's state-of-the-art video and image annotation tools to significantly enhance WasteVision AI's contamination detection process, a move that will augment safety by eliminating driver intervention in contamination checks.
In light of the growing dangers within the waste collection industry,…
More Releases for LLM
Indian SEO Agency Launches LLM Optimization Services for E-commerce Businesses
New Delhi, India - Indian SEO Agency has officially announced the launch of its new LLM Optimization services for e-commerce stores, aimed at helping online businesses improve their visibility in the rapidly evolving AI-driven search environment.
As artificial intelligence continues to transform how users search and discover products online, traditional SEO strategies alone are no longer sufficient. AI-powered platforms and large language models now generate direct answers and recommendations, making it…
Healthcare LLM Platforms Market Forecast (2026) | Trends, Drivers & Leading Comp …
Market Size and Growth
Healthcare LLM Platform market is exploding in 2025-2026, fueled by the transformative power of large language models (LLMs) tailored for healthcare. These platforms specialized AI systems built on or fine-tuned with medical data help clinicians summarize patient records, assist in diagnostics, automate clinical documentation, generate reports, support drug discovery, and even enable personalized patient interactions.
Request Custom Research Report (Get Higher Priority for Corporate Email ID):- https://www.datamintelligence.com/custom-research?kbllm
United States:…
Magnet Marketing SEO Launches New Framework for LLM Optimization
Magnet Marketing SEO announced the launch of its new Large Language Model Optimization framework, a structured approach created to help businesses improve how brand information is interpreted and referenced by artificial intelligence systems. The framework is designed to support companies as consumer search behavior continues to shift toward AI-driven responses, a trend that has increased rapidly with the widespread adoption of tools such as ChatGPT, Gemini, and other conversational platforms.
The…
Emerging Trends Influencing The Growth Of The Large Language Model (LLM) Market: …
The Large Language Model (LLM) Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].
How Big Is the Large Language Model (LLM) Market Size Expected to Be by 2034?
The large language model (LLM) market has experienced exponential growth in recent years. It is projected to grow…
Large Language Model(LLM) Market Strategic Trends for 2032
The Large Language Model (LLM) market has emerged as a transformative force in the realm of artificial intelligence, reshaping industries and enhancing human-computer interaction. As the demand for sophisticated natural language processing capabilities surges, LLMs have become integral to applications ranging from chatbots and virtual assistants to automated content generation and data analysis. Their relevance spans across sectors, including healthcare, finance, education, and beyond, reflecting the vast scope and potential…
Global Large Language Model(LLM) Market Research Report 2023
Global Large Language Model (LLM) Market
The global Large Language Model(LLM) market was valued at US million in 2022 and is anticipated to reach US million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
A big language model is one that has a large capacity for deep learning tasks and typically has a complicated…