Generative AI Company and Development Partner
Trusted by Innovative Companies
Capture Accelerating Value of Generative Artificial Intelligence
Streamline Business Processes
Improve Customer Satisfaction
Perform Large-Scale Analysis
Accelerate Innovation Pace
Innovate Faster with Our AI Development Services
Strategy and Consulting
Our generative AI development company offers AI technology consulting services that help you strategize, plan, and kick-start your project. Our experts estimate the impact of innovation on your operations, calculate your ROI, and provide all the levers needed to boost AI acceptance across your company.
- Business case analysis
- Proof of Concept
- Data analysis
- Project estimation and planning
Generative AI Development
Our engineers design and implement custom language models based on the capabilities of GPT, DALL.E2 and more. We bring our NLP, machine learning, and data science expertise to create robust solutions designed specifically for your business.
- GPT Solutions Development
- NLP software development
- Business automation solutions
- Data analytics software implementation
Model Training and Customization
We customize generative AI tools and fine-tune LLMs with your own proprietary data. This helps the models to support your unique downstream tasks, operate with high accuracy within your business case, and deliver innovation to your company at less cost.
- Large language model fine-tuning
- API integration
- Data architecture modernization
- Cloud migration
Upgrade and Maintenance
Our support team monitors the performance of your language model, introduces updates, and prevents model drifting. We ensure the long-term value of your AI applications and help them grow according to evolving market needs and your business requirements.
- Model monitoring
- Model updates
- Data retraining pipeline
- Risk management and compliance
Bring Cross-Functional Skills to Your Generative AI Projects
Machine Learning
Our developers enhance the intelligence of your language model and expand its capacity to predictive analytics, fraud detection, trend analysis, and more - to help you generate higher value from your digital transformation initiatives.
Natural Language Processing
With almost a decade of experience in NLP tools,
we deliver market leverage packed into sentiment analysis
and customer analysis applications that will make your language model even more intelligent and customer-centered.
Cloud Computing
Our cloud engineers set up modern enterprise data platforms built on the cloud to fuel your applications of generative AI, enable enterprise-wide analytics, unlock seamless streams of information, and democratize data access.
Data Engineering
We improve the maturity of your company’s data lifecycle
to promote AI adoption at scale, enhance the quality
and reliability of your enterprise data, and prepare your company for a leap to generative artificial intelligence.
Generative AI Use Cases
Generative AI Customer ServiceEase the strain on your customer support team, enable your chatbots to create more natural interactions with customers, and provide lightning-fast responses to customer issues.
Real-Time PersonalizationAutomate personalized messaging, target specific customer segments, generate high-converting sales copy, and serve tailored marketing offers based on thorough analysis of customer data.
Customer and Business AnalyticsBroaden your scope of analysis by combing through troves of data, automate insight generation, pave the way for cost-effective data analysis, and turn your dashboards into your own data consultant.
Business Process AutomationComplete business processes with minimal human intervention. From document management to procurement, generative AI apps automate resource-intensive tasks across all functional areas.
How We Approach Your AI Project
Generative AI Algorithms Across Industries
Why InData Labs?
Vast Experience
Drawing on 9+ years of experience, we know how to make your AI solution a success story.
Multidisciplinary Team
We have a team of senior AI developers with solid skills in AI, NLP, and Big data.
Domain Expertise
We understand your unique challenges and offer optimal solutions based on your needs.
Our Stack of Generative AI Tools
Let Our Clients Do the Talking
Customer Success
FAQ
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It’s difficult to pin down an exact figure as the accurate pricing depends on a large number of factors. At our generative AI company, the average cost starts from $10,000 and more depending on the project requirements.
The cost varies based on the complexity of your solution (consume vs. customize), a particular business case, and a specific service (consulting vs development). As we typically build on top of the existing large language models (GPT, DALL-E, etc) and customize them for your unique business needs, the costs are lower than training an AI model from scratch.
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Generative artificial intelligence is an area of machine learning in which algorithms are designed to generate new data or content based on the training data. It can produce multiple types of content, including text, audio, and video.
Examples of generative AI include a large language model that consists of a neural network with multiple parameters. Large language models are trained on large quantities of unlabelled data to generate outputs.
Companies using generative AI apply the technology in a broad range of tasks – from business-centered to customer-focused functions.
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Generative AI use cases span the following areas:
- Generative AI customer service
- Marketing and sales
- Administrative tasks
- Recruitment
- Business and customer analysis
- Fraud detection
Top generative AI companies rely on language models to automate their customer support and enable personalized interactions with customers. Other high performers apply the technology to analyze vast amounts of data, generate reports and alerts, and handle documentation.
Language models also power chatbots, summarize texts to enable detailed social listening, and track consumer sentiment across channels.
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The technology made inroads in many industries, including retail, healthcare, banking, education and manufacturing.
- Generative AI healthcare – patient-facing assistants, enhanced clinical decisions, easier data management.
- Banking – automated customer service, optimized loan origination, fraud detection.
- Retail – real-time personalization, self-service capabilities, streamlined product research and analysis.
- Education – personalized learning, curated materials, supplementary solutions.
- Manufacturing – product defect analysis, supplier management, supply chain management.
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To produce accurate output, a large language model must be trained on terabytes of data. Relying on neural networks, machine learning, and natural language processing, it identifies the patterns and structures within existing data to produce new content. The unique capability of the model is also its ability to leverage different learning approaches. This makes it a universal tool to tackle a wide number of business challenges while supporting multiple applications.
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Yes, Chat GPT is a type of generative artificial intelligence called a large language model.
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