[New York, Feb 19, 2025] – Anolytics, one of the leading AI training data solutions providers, has introduced a comprehensive suite of services for developing and fine-tuning generative AI models. Leveraging its expertise in healthcare, law, finance, and STEM (Science, Technology, Engineering, and Mathematics) the data tech company enhances AI capabilities by ensuring accurate and compliant data for generative AI model training and refinement.

From ChatGPT to DeepSeek, innovations in generative AI continue to transform industries by automating complex tasks, producing fluent text in human and computer languages, personalizing customer experiences, and extracting insights from large datasets. However, despite these advancements, AI models are not infallible. They can hallucinate information, make illogical statements, and generate biased or harmful outputs.


To address these challenges, Anolytics has come up with a full suite of training data solutions, including:

• Data labeling: Adapting pre-trained large language models (LLMs) for specific downstream tasks.
• Instruction tuning: Enhancing data corpus development by creating high-quality synthetic prompt-response pairs.
• Reinforcement Learning with Human Feedback (RLHF): Rating model outputs to refine accuracy and contextual understanding.
• Red teaming: Proactively identifying vulnerabilities to ensure AI safety and mitigate risks across diverse applications.

“Our goal is to bridge the gap between the impressive potential of Gen AI models and their reliability and applicability in real-world scenarios,” said Rohan Agrawal, CEO of Anolytics. “By incorporating human expertise into the AI training process, we enhance performance, making them more reliable, contextually aware, compliant, and ethically responsible.”

The surge in LLMs and other generative AI models has driven an unprecedented demand for high-quality training data and services. Anolytics’ human-in-the-loop approach ensures that AI models are trained and fine-tuned with precision, reducing biases and minimizing errors that could adversely affect model behavior across various industries.

With expertise spanning healthcare, law, finance, STEM, software engineering, QA, and multilingual proficiency, Anolytics’ workforce ensures AI models are accurate, reliable, and aligned with ethical AI principles through rigorous research and fact-checking.

“Anolytics partners with leading brands to advance generative AI through expert data labeling, insights extraction, customer profiling, and model testing. We provide AI and ML companies with the critical data solutions needed to build next-generation models that are not only innovative but also trustworthy, reliable, and aligned with ethical AI principles,” added Rohan Agrawal.

About Anolytics

Founded in 2018, Anolytics is a well-known AI data solutions provider with offices in the USA and India, employing over 1,200 in-house data annotators and subject matter experts. The company specializes in data labeling, annotation, and curation for applications in computer vision, natural language processing (NLP), and content services. Its expertise extends to fine-tuning large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and business-specific customization.
With a strong focus on ethical AI and precision-driven training, Anolytics supports AI developers in building smarter, more responsible generative models.