Train Safer, Smarter Models with Human Feedback
Train Safer, Smarter Models with Human Feedback
Align your AI with real-world expectations using Reinforcement Learning with Human Feedback (RLHF). Indika AI provides access to domain-trained reviewers at scale enabling precise labeling, evaluation, and refinement of model outputs with unmatched accuracy and context.
Align your AI with real-world expectations using Reinforcement Learning with Human Feedback (RLHF). Indika AI provides access to domain-trained reviewers at scale enabling precise labeling, evaluation, and refinement of model outputs with unmatched accuracy and context.
Start your AI transformation today.
60,000+
60,000+
60,000+
Annotators
Annotators
100+
100+
100+
Model Types
Model Types
50,000+
50,000+
50,000+
Training Hours
Training Hours
98%
98%
98%
Accuracy
Accuracy
Train
Train
Train
Smarter Models with Human insights
Smarter Models with Human insights
Smarter Models with Human insights
01
01
01
Expert Annotation at Scale
Expert Annotation at Scale
Your data is routed to a global network of 60,000+ trained annotators. These domain-specific professionals label complex data from clinical notes to financial records ensuring accuracy, consistency, and contextual relevance.
Your data is routed to a global network of 60,000+ trained annotators. These domain-specific professionals label complex data from clinical notes to financial records ensuring accuracy, consistency, and contextual relevance.
02
02
02
Preference-Based Ranking
Preference-Based Ranking
Human reviewers rank model outputs on clarity, correctness, tone, and intent. These rankings feed RLHF pipelines to fine-tune AI models, aligning them with real-world expectations.
Human reviewers rank model outputs on clarity, correctness, tone, and intent. These rankings feed RLHF pipelines to fine-tune AI models, aligning them with real-world expectations.
03
03
03
Real-Time Evaluation Loops
Real-Time Evaluation Loops
Models continuously undergo human evaluation to flag hallucinations, bias, factual errors, and compliance risks. This ongoing QA loop keeps AI outputs safe, accurate, and reliable.
Models continuously undergo human evaluation to flag hallucinations, bias, factual errors, and compliance risks. This ongoing QA loop keeps AI outputs safe, accurate, and reliable.
04
04
04
Feedback-to-Fine-Tuning Pipeline
Feedback-to-Fine-Tuning Pipeline
Collected human feedback is automatically structured into training signals, traceable and ready for iterative fine-tuning ensuring models improve continuously with every review cycle.
Collected human feedback is automatically structured into training signals, traceable and ready for iterative fine-tuning ensuring models improve continuously with every review cycle.
Why
Why
Why
Choose Indika for RLHF
Choose Indika for RLHF
Choose Indika for RLHF
Human-Guided Accuracy
Expert reviewers deliver precise, high-quality feedback.
Human-Guided Accuracy
Expert reviewers deliver precise, high-quality feedback.
Human-Guided Accuracy
Expert reviewers deliver precise, high-quality feedback.
Context-Aware Training
Integrate domain knowledge for nuanced, relevant outputs.
Context-Aware Training
Integrate domain knowledge for nuanced, relevant outputs.
Context-Aware Training
Integrate domain knowledge for nuanced, relevant outputs.
Bias & Error Reduction
Continuously detect and minimize inaccuracies.
Bias & Error Reduction
Continuously detect and minimize inaccuracies.
Bias & Error Reduction
Continuously detect and minimize inaccuracies.
Deployment-Ready Models
Fine-tuned for production-level performance and real-world use.
Deployment-Ready Models
Fine-tuned for production-level performance and real-world use.
Deployment-Ready Models
Fine-tuned for production-level performance and real-world use.
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
@2022 IndikaAI. All Rights Reserved.
Version 1.0
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
@2022 IndikaAI. All Rights Reserved.
Version 1.0
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
@2022 IndikaAI. All Rights Reserved.
Version 1.0
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
Stay Ahead in Data-Centric AI
Get the latest insights on data annotation, LLM fine-tuning, and AI innovation straight to your inbox. Be the first to explore trends, case studies, and product updates from Indika AI.
@2022 IndikaAI. All Rights Reserved.
Version 1.0