Turn your operational pain points into powerful Gen AI-driven solutions. From strategic consulting to solution development and ongoing support, our comprehensive generative AI services are ready to design advancements within your business.
Talk to an ExpertYears on the market
AI engineers
GenAI specialists
Kaggle Grandmaster & Master
Projects delivered
We help define business-relevant use cases, assess data readiness, and build actionable roadmaps for AI adoption. Our consulting ensures regulatory alignment, cost-effectiveness, and measurable impact from the start.
We develop complex data-driven systems tailored to your business needs. Starting with data analysis, pipeline design, and infrastructure, we build scalable solutions enhanced by LLMs like GPT or Claude – adding automation, intelligent interaction, and deeper analytics where required.
We build scalable chatbots powered by large language models, enabling natural, multilingual conversations across support, sales, and internal operations – with real-time response, continuous learning, and platform-agnostic integration.
We evaluate and optimize your existing generative AI systems for performance, cost-efficiency, and reliability. This includes reducing latency, minimizing model errors, and improving output quality without increasing compute overhead.
We connect generative AI models with your internal tools, APIs, databases, and workflows. This ensures secure data flow, access control, and real-time validation – enabling operational continuity and enterprise-grade deployment.
We provide continuous monitoring, model updates, and infrastructure maintenance. Our services include prompt tuning, model retraining, usage tracking, and rollback management – keeping your generative AI solutions stable and up to date.
Automate front-line interactions and daily tasks. AI co-pilots are deployed on your preferred communication channels and integrate with your business systems and knowledge bases to provide instant, accurate answers to complex queries and execute tasks like booking appointments or checking order statuses.
Transform your internal data into a secure, queryable asset. By connecting LLMs to your proprietary documents and databases, these platforms create a single source of truth, allowing teams to receive verifiable answers and data-driven recommendations for faster, more informed decisions.
Deploy autonomous AI agents to execute complex, multi-step business processes. Integrating with APIs and monitoring real-time data, they independently manage operations, optimize resources, and proactively solve challenges, driving significant efficiency and reliability without direct human intervention.
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We help organizations develop and launch generative AI (gen AI) use cases to unlock value going beyond initial proofs of concept to ensure lasting impact.
Our team guides you in shaping a transformation strategy and clear road map – from opportunity assessments and workshops to prioritizing the right use cases for your industry.
Converting structured data into natural language summaries
Semantic search and Q&A over large document repositories
Auto-tagging and classification of new documents
Generating visual dashboards from raw data inputs
Summarizing meeting transcripts into actionable points
Transforming legacy documents into modern formats
Dynamic content adaptation based on user profiles
Personalized product or content recommendations
Generating tailored onboarding or tutorial flows
Adaptive FAQs that evolve from user
queries
Creating personalized marketing messages at scale
Real-time adjustments to user-facing copy or tone
AI-generated draft replies for support
agents to review
Summarizing ticket history into quick context briefs
Dynamic FAQs built from real-time support trends
Auto-categorizing and tagging incoming tickets
Generating follow-up emails or escalation summaries
Synthesizing customer feedback into actionable themes
AI-assisted brainstorming for features, campaigns, or UX flows
Drafting first versions of design briefs or proposals
Expanding prompt ideas into richer creative concepts
Generating alternative taglines or phrasing options
Auto-creating placeholder UX copy for wireframes
Visual prompt generation for design moodboards
Drafting policy documents and compliance guidelines
Summarizing new regulations into actionable points
Generating risk scenarios for assessments
Creating checklists for audit prep
Synthesizing legal clauses into plain language
Updating internal guidelines from regulatory changes
How you can lead the competition with our Generative AI Development Services
Generative AI takes automation far beyond traditional RPA. It handles unstructured and knowledge-heavy processes such as document summarization, regulatory reporting, knowledge extraction, and even code generation. This helps companies cut manual effort and achieve up to 30–40% efficiency gains in back-office operations without increasing headcount.
Integrating LLM-powered systems into complex workflows and API-driven ecosystems improves both decision-making and resource allocation. GenAI enables orchestration across departments – from finance to supply chain – resulting in 20–30% faster project cycles, and fewer bottlenecks.
Gen AI allows companies to deliver hyper-personalized, real-time interactions at scale. From dynamic product recommendations to tailored knowledge bases and conversational agents, AI enhances every customer journey. As a result, businesses see higher satisfaction, stronger loyalty, and 5–15% more marketing ROI.
GenAI lowers infrastructure and operational costs by 20 – 40% through smarter automation and error reduction. All solutions are designed to meet security and compliance standards – including GDPR, HIPAA, and SOC2 – ensuring safe and sustainable adoption.
How You Can Lead the Competition With Our Generative AI Development Services
Established an AI in-house team in 2015 before the GenAI hype
Deep hands-on with foundation models and prompt optimization
Full-cycle AI delivery
LLM systems integrated with complex workflows and APIs
CI/CD pipelines, model monitoring, and production-readiness
Multiple engagement levels support: from API-based usage to fine-tuning and full model deployment
Experience with both proprietary and open-source models
Deliver classical data science solutions and modern GenAI workflows
Dedicated unit for process standardization and R&D
Internal knowledge base, reusable assets, and process maturity
Applied research in LLM fine-tuning, RAG, and multi-agent orchestration
Generative AI is a class of AI models that can create new, original content such as text, images, or code based on the data they were trained on. Instead of only analyzing or categorizing existing information, these models generate new outputs, enabling advanced applications like automated document drafting, intelligent search, and complex unstructured data summarization.
We develop generative AI solutions across a range of business functions. Common applications include:
We provide a comprehensive set of services to cover the entire AI lifecycle:
Our approach is structured and collaborative, ensuring alignment with your business goals at every stage. The process includes:
Quantum follows a structured process tailored to each industry. We begin with deep business and domain discovery to capture workflows, compliance needs, and data nuances. Next, we prepare and engineer proprietary data, then select and fine-tune the most suitable foundation model (open-source or proprietary) for accuracy and scalability. Solutions are adapted to text, chat, or multimodal use cases and integrated seamlessly into existing tools and workflows. Finally, we ensure secure deployment, continuous monitoring, governance, and ongoing lifecycle support, so models stay reliable, compliant, and business-relevant.
We develop a range of solutions, from custom LLM-powered chatbots and data analysis tools to complex systems that integrate generative capabilities into existing enterprise workflows. Our experience covers proprietary and open-source models. Our approach is model-agnostic; we select the best foundation model, whether text-based or multimodal, based on the specific project’s performance, scalability, and cost-effectiveness requirements.
Yes. We provide comprehensive support and maintenance services to ensure your AI solutions’ long-term stability and effectiveness. This includes continuous monitoring, performance tuning, model retraining with new data, prompt library updates, and infrastructure maintenance to align your systems with your evolving business needs.
A core part of our expertise is integrating generative AI models with existing enterprise systems. We connect AI capabilities with your internal tools, APIs, databases, and business workflows, ensuring secure data flow, proper access control, and operational continuity for a seamless, enterprise-grade deployment.
Choosing Quantum means partnering with an experienced, strategic technology provider. Our key differentiators are:
The timeline depends on the scope and complexity of your project. A proof-of-concept or pilot solution can often be developed within 4-8 weeks, while a full-scale production-ready system with integrations, security, and compliance may take 3-6 months or more. Data availability, infrastructure setup, and major requirements heavily influence the delivery timeline. We usually suggest to start with a discovery phase to provide a tailored estimate and reduce risks.
Generative AI software development costs vary widely depending on project size, model type, and integration needs. A minimal viable product (MVP) might start from $30,000–$70,000, while enterprise-grade solutions with custom models, scalability, and ongoing support can range from $100,000+. We offer both Time & Materials (T&M) and Fixed Price engagement models to match your budget and flexibility needs. After an initial consultation, we provide a transparent cost breakdown with detailed timeline and planning structure.
