Generative AI
Implementation Services
Transforming businesses with the power of Generative AI.
Innodata's Generative AI Services
At its core, Generative AI refers to the subset of AI that is focused on enabling machines to produce text, images, music, and other media types autonomously through training advanced ML models, like large language models and transformer models.
Whether your company chooses to build its own models, fine-tune existing models, or adopt a large language model as-is, Innodata offers end-to-end implementation services and support. Our comprehensive services cover every stage of implementation, ensuring seamless integration and tangible outcomes.
01. Ideate
Align with your business objectives, decode automation roadmaps, and find where generative AI can foster innovation within your organization with Innodata’s consultative vision workshops. Our design thinking and strategic planning create a person/machine synergy, poised to revolutionize your organization. With expert business case development, we ensure tangible outcomes at every step.
- Vision Workshops
- Design Thinking
- Business Case Development
- Roadmap Defining
02. Prepare
The second pillar of our generative AI solutions starts by defining a precise task taxonomy. We expertly source diverse data, like text, document, image, video, and audio data, laying the foundation for high-quality training data. Through Innodata’s proprietary platforms and in-house experts, we create tailored instruction datasets for your generative model development.
- Task Taxonomy Creation
- Instruction Dataset Construction
- Data Sourcing (Text, Document, Image, Video, Audio)
- Human Data Curation
- Synthetic Data Creation
- Web Data Aggregation
- Aggregation Using Platforms or Scripts
- AI-Driven Collection/Creation
03. Implement
Our expert generative AI team excels in integrating cutting-edge AI capabilities into your existing systems or crafting bespoke applications tailored to your needs. With a focus on prompt engineering, RLHF, reward modeling, fine-tuning with high-quality data annotation, red teaming, and rigorous model testing, ensuring that your AI models are giving your business a competitive edge.
- Fine-Tuning
- Prompt Engineering
- Reinforcement Learning from Human Feedback (RLHF)
- Reward Modeling
- Model Testing
- Red Teaming & Prompt Injection
- Custom Application Creation
04. Orchestrate
We ensure that your models stay ahead of the curve, adapting to changing data patterns and user behaviors. Using a holistic approach, we provide ongoing maintenance into the tangible impacts of your AI initiatives. Our expertise covers critical aspects like ongoing RLHF, managing model drift, model hosting, and efficient pipeline automation.
- Model Drift Management
- Reinforcement Learning from Human Feedback (RLHF)
- Model Hosting
- Pipeline Automation
- Performance Monitoring
- Error Handling
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Ways Our Customer’s Have Applied Generative AI
Innodata empowers the expansion of your AI initiatives with a diverse array of practical use cases spanning text, image, video, sensor, audio, database, and code-driven data.
Innodata Customer Testimonial
Innodata’s Training Data Taxonomy for Generative AI
Innodata’s training data capabilities span data modalities, languages, and domains, and nine categories of tasks.
Global Delivery Centers and Language Capabilities
Innodata boasts an extensive global delivery network that encompasses native speakers in over 20 strategic locations. We have the infrastructure to seamlessly incorporate new languages across any time zone, and the ability to establish additional global delivery centers tailored to your needs.
Authoring & Domain Expertise
With 4,000+ in-house SMEs spanning all industries, Innodata offers content authoring, technical writing and rewriting, grammatical and syntactical editing, and summarization in over 40+ languages. By partnering with Innodata, organizations can ensure generative AI models are trained on leading domain-specific multilingual data.
Proven Reputation & Quality
At our core, we are a global data engineering company engaged by the largest technology companies to help build world-class generative AI foundation models and by leading enterprises to drive AI within their products and operations. We have a reputation for agility, scalability, customer-centricity, and the highest-quality data.
How We Are Helping Our Customers
Implement Generative AI
Expanding Business Intelligence Coverage for New Verticals and Markets
A global cloud computing company’s Business Intelligence (BI) solution aimed to provide visual insights based on client data. Innodata tackled the challenge of fine-tuning the existing LLM with prepared in-house teams consisting of SMEs from various fields. The solution involved a comprehensive approach to LLM training including authoring prompts and completions specific to each domain, ambiguity detection and resolution mechanisms, revising visual elements related to questions and answers, and assessing model outputs. Innodata helped the client successfully expand into new vertical markets, empowering businesses with data-driven decision-making capabilities. Significant achievements include successfully deploying new domains and extending the BI solution to cover five new domains.
Evaluating AI Outputs for Enhanced Performance in Big Tech
Automating Database Creation from Research Papers
