Generative AI Development Company
Our Generative AI Expertise
At SCAND, we combine 25+ years of overall experience in software product development and the latest AI development techniques to produce impressive generative AI solutions.
Our areas of expertise include:
- Generative Models (LLMs, diffusion models, GANs, autoregressive transformers)
- Natural Language Processing (NLP) (summarization, translation, Q&A, generation)
- Computer vision (CV) (CNN, ResNet, EfficientNet/Det, YOLO, GAN, OpenCV)
- Machine and Deep Learning (CNNs, RNNs, transformer architectures)
- Model Fine-tuning (transfer learning, domain adaptation, LoRa, SFT, DPO, RL)
Our Custom Generative AI Development Services
We offer a full range of generative AI services to guide you from the first idea to a fully working solution. Our team takes care of every aspect — strategy, data preparation, model development, system integration, and long-term support.
Generative AI Consulting
We help you uncover exactly where AI can add the most value. Our team reviews your terms, data, and task sequences, then suggests the right models, tools, and approach for your conditions. Be it exploring AI for the first time or expanding an existing system, we make sure your investment delivers visible results.
Data Analysis & Preparation
Well-structured data means better AI results. We collect, clean, and arrange your records so your model can properly learn and improve. This can include text, pictures, audio, and video from multiple sources. We make sure your data is high-quality, relevant, and ready to train AI (standard or reasoning) that works well in real situations.
Domain-Specific Generative AI Model Development
Every industry has its own demands, terms, and challenges. We build and fine-tune AI models that understand your specific field, from healthcare and finance to retail and manufacturing.
Need a specialized AI solution that solves specific problems? We can turn AI into tools your team can use every day. This could be a chatbot that knows your products, a content generator for marketing, a recommendation engine for e-commerce, or an AI that helps developers write code way faster.
AI Integration with Enterprise Systems
We not only create AI software solutions but also make sure they fit right into the systems you already use, such as ERP, CRM, CMS, or even just your SQL database. With this consistent approach, you may quickly automate tasks, get better insights, and improve customer service.
Ongoing Support, Upgrades & Maintenance
AI needs to adjust over time to stay effective. We provide ongoing support to watch performance, retrain models with new data, add features, and update security mechanisms. This way, your AI solution stays accurate, performant, and adapted to your goals.
Benefits of Generative AI for Your Business
Generative AI is no longer a trend or experiment; it brings real improvements that can change how your company works and competes:
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Faster Content Creation
Generative AI can take on different types of content creation, such as marketing text, product descriptions, images, music, and even videos. This means your team can spend less time on repetitive writing and more time on creative and strategic work.
- 2
Personalized Customer Attitude
AI lets you independently adjust communications and suggestions for each customer. Be it emails, chatbots, or product recommendations, AI helps you connect with people personally, making them more satisfied and likely to come back.
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Cost Savings Through Automation
Many everyday tasks take much time and can slow your staff down. AI can take over repetitive jobs, such as writing analytics reports or answering common questions. This kind of automation saves money and lets your staff center around more important, creative tasks.
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Better Decision-Making with AI Insights
Generative AI can scan and study lots of data, spot patterns, and predict what might happen in the future. These insights help you make smarter choices, no matter if it's in marketing, finance, or medical care. AI supports your team by giving useful forecasts and ideas.
AI Models We Work With
We work with a wide range of advanced AI models to make solutions that truly suit your needs, including:
Industries We Build Generative AI Solutions For
We understand that different fields have different pain points and seek different solutions. That’s why we always take industry peculiarities into account and create custom generative AI tools that address unique challenges and comply with relevant regulations:
For banking and finance, we build AI that automatically creates reports and financial documents. Our custom AI software can also detect fraud by spotting unusual activity early, help customers via chatbots, and help with better risk and credit assessments.
In e-commerce and retail, we help sellers stand out by creating AI-generated product descriptions and marketing content adapted to customers. Our chatbots can answer questions and manage orders, predict demand, optimize stock, and suggest products your buyers will love.
For healthcare providers, we can offer AI solutions that summarize medical records or find important information (or anomalies) within numerous records. That can be chatbots, virtual health assistants, diagnostic image analysis tools, or automated clinical documentation systems.
In logistics, we create AI that plans delivery routes for faster and cheaper shipping. Our custom tools forecast demand and follow inventory in real time. We also automate paperwork, such as shipping labels, and help predict risks that might disrupt your supply chain.
In the insurance sector, our bespoke AI software speeds up claims by independently reviewing documents and spotting fraud. We develop chatbots to help customers with their policies and questions, as well as tools that assess risks to make underwriting more accurate.
For travel agents, we create AI solutions that draw up personalized travel plans and guides for your customers; chatbots that take care of bookings and questions 24/7; and content-generating tools that create marketing content to attract new travelers.
For auto manufacturers, we use generative AI to create copilots that understand natural language commands; predictive maintenance tools to spot issues before they become problems; and smart in-car assistants for a better driving experience.
In hospitality, we can build bespoke AI-powered virtual concierges that can provide guests with recommendations and support anytime or analyze guest reviews to help improve customer service. We also use AI to optimize staff scheduling and operations.
For manufacturers, we build digital twins to simulate and improve production processes. Our AI predicts when machines need maintenance to prevent breakdowns. We also automate quality checks with image recognition and optimize how resources are used on the production floor.
We create AI tools that write attractive property descriptions and perform market trends analysis using real-time data to help buyers make profitable investments. For property sellers, we can offer chatbots that can automate contracts and other paperwork to speed up deals.
We help content creators by generating ideas, drafts, and even videos or images. Our custom AI can recommend personalized content to users and automate tagging and organizing media for easier access.
In legal tech, we develop smart assistants that can summarize contracts and extract key points, answer common legal questions, and check documents for compliance with regulations.
Our Generative Artificial Intelligence Development Process
Building impressive generative AI solutions requires a thoughtful approach. At SCAND, we follow a proven app development process that proves your AI system works at its best.
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2. Model Selection & Development
Here, we either develop custom AI models from scratch or adapt proven existing ones like GPT or Stable Diffusion. Regardless of the model, we always focus on matching its capabilities to your use case, high accuracy and below-human error rates.
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3. Integration & Deployment
When the model is ready, we deploy it into your environment of choice, be it cloud-based, on-prem, or hybridized. After that, we integrate AI with your existing systems to achieve error-free running.
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4. Testing & Optimization
We comprehensively test the AI solution to certify conformity with performance and accuracy targets. This includes fine-tuning the model's output and adding human input for improved results.
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5. Maintenance & Scaling
After deployment, we watch how the AI model performs in actual use and retrain it when new information arrives (escaping data drift). We also help scale the solution to tolerate more users or additional data sources.
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1. Discovery & Feasibility Analysis
We begin by discovering your distinct use case, evaluating your existing infrastructure, and clarifying the quality and availability of your data. Overall, this step helps us select the optimal generative AI method.
Our AI Development Technology Stack
We use a wide range of proven tools and platforms to create, train, and run generative AI applications. By combining the right technologies for each project, we make sure your AI fits perfectly into your processes.
Languages & Frameworks
- Python
- PyTorch
- TensorFlow
- Keras
- LangChain
- Transformers
- FastAPI
- Node.js
Cloud & Infrastructure
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- MLFlow
- CloudFlare
- Vercel
- Runpod
- Fireworks
Databases & Storage
- PostgreSQL
- MongoDB
- Redis
- S3
Annotation & Labeling
- CVAT
- Labelbox
- Prodigy
- SuperAnnotate
Artificial Intelligence Case Studies
We’ve already built many AI-powered solutions for different businesses, helping them solve real challenges and unlock new opportunities. Explore our case studies to see how our expertise turns ideas into impactful results.
- Mobile
- Android
- iOS
Our Engagement Models
We offer different cooperation models so you can choose the one that best matches your demands, budget, and timelines.
In this model, we put together a full team of AI architects, data scientists, and ML engineers and assign them exclusively to your project. They’ll manage every step, from research and development to deployment and support.
Project-Based Development
Here, we agree on a clearly defined scope, timeline, and budget before starting. Our team then develops the AI application according to these milestones and delivers it as planned.
With this model, you keep your existing development team and simply add our AI experts, such as data scientists, ML engineers, or generative AI integration specialists, to boost capacity or cover skill gaps.
Why Choose SCAND as Your Generative AI Development Company
Choosing the right AI partner can make all the difference in turning an idea into a business-ready solution. Here’s why companies trust us with their generative AI projects:
25+ Years in Software Development
We’ve been making software for over 25 years and have had a dedicated AI R&D team since 2017. We’ve watched AI grow from simple experiments, so we know how to pick the right approach and avoid costly mistakes.
Solutions Matching Domain Specifics
We don’t do templated AI. Whether it’s a language model for legal documents or a generative design tool for manufacturing, we create solutions that match your workflows and industry.
Wide Technology Expertise
Our team works with both open-source models, such as LLaMA, and proprietary tools like GPT-4/5 or Claude. This diversity lets us find the perfect balance between performance and cost.
Secure Development Practices
We protect your data with encryption, anonymization, and secure APIs. We also follow strict model governance so you always stay in control of your data and intellectual property.
Frequently Asked Questions
