Innodata
Company Profile
Innodata drives transformative generative and traditional AI development with unmatched quality, subject matter expertise, and a trusted suite of services and platforms with 30+ years of experience.
Products and Services
Generative AI Services
- Supervised Fine-Tuning: Develop data to train and refine existing and pre-trained models for task taxonomies. Create large scale training datasets and golden datasets for supervised fine-tuning.
- Reinforced Learning from Human Feedback (RLHF): Rely on human experts-in-the-loop to improve hallucinations and edge-cases with ongoing feedback to achieve optimal model performance.
- Model Safety, Evaluation, & Red Teaming: Address model vulnerabilities, rigorously test and optimize models to ensure safety and compliance, expose model weaknesses, and improve responses to real-world threats.
- Data Collection + Creation: Collect or create diverse datasets tailored to your needs through natural collection, synthetic generation, studio capture, and on-the-ground collection to train generative AI models.
Traditional AI Services
- Data Annotation: Utilize our team of subject matter experts to deliver accurate, secure, reliable, and domain-specific data annotation services across all data types, including image, video, sensor (LiDAR), text, document audio, and speech data.
- Data Collection + Creation: Collect or create diverse datasets tailored to your needs through natural collection, synthetic generation, studio capture, and on-the-ground collection to train traditional AI models.
Digital Transformation
- GenAI Implementation: Rely on Innodata’s experts to seamlessly integrate generative AI into your business operations, guiding you from strategy to implementation for ongoing success.
- Workflow Automation: Streamline business operations by automating repetitive tasks like data entry and report generation, enabling intelligent decision-making through data analysis, optimizing processes by identifying bottlenecks, scaling effortlessly with organizational growth, and ultimately reducing operational costs by eliminating manual labor.
- Retrieval-Augmented Generation (RAG) Based Chatbots: Deliver accurate, relevant, and up to date responses with RAG-based chatbots, combining pre-trained language models with information retrieval. By accessing external knowledge, these chatbots enhance factual accuracy and excel in tasks like question answering, summarization, and conversational AI.
- Summarization: Convert text and document data into concise summaries. Leverage AI to extract key insights and improve information accessibility.
Top 3 Benefits
- Deep Domain Subject Matter Expertise Across Industries
With over 5,000 in-house subject matter experts spanning major domains such as healthcare, finance, and legal, along with specialized experts like linguists and taxonomists, Innodata provides industry-leading subject matter expertise for any enterprise-grade AI development. - Global Delivery Centers & Language Capabilities
Innodata operates in 20+ global delivery centers with proficiency in over 85 native languages and dialects, ensuring comprehensive language coverage for your AI projects. - Quick Turnaround at Scale with Quality Results
Our globally distributed teams guarantee swift delivery of high-quality results 24/7, allowing rapid scalability in local expansion and globalization across projects of any size and complexity.
