Transform How Your Business Thinks, Works, and Scales - with Generative AI
Empower your teams to work smarter with AI-powered tools that extract knowledge, summarize documents, automate responses, and generate content - tailored to your company’s data and workflows.
13 YEARS
in Agile Engineering & Software Development
500+
Consultants & Engineers

5
Global Offices

100+
Clients in Fortune 500

Our Awards & Recognitions











Quality-first approach based on a mature ISO 9001-certified quality management system.
ISO 27001-certified security management that relies on comprehensive policies and processes, advanced security technology, and skilled professionals.
A full-scale PMO able to carry out even the most complex projects.
A leading outsourcing provider featured on the Clutch for three years in a row.
We are trusted by Fortune 500 companies


















What Companies Are Solving with GenAI
Your teams already have the data, but it’s locked inside long documents, legacy systems, and unstructured sources. GenAI helps you tap into that knowledge to:
- Reduce time spent searching through contracts, SOPs, reports, or policies
- Summarize complex documents into key insights in seconds
- Automate repetitive drafting tasks across HR, legal, and operations
- Turn internal knowledge into intelligent assistants accessible by anyone in the company
- Accelerate onboarding, compliance, and service response
With Generative AI and the RAG architecture (Retrieval-Augmented Generation), your solution is not just “generative”, it’s also grounded in your real business data, increasing accuracy and trust.
How We Use RAG to Make GenAI Practical
Standard LLMs (like GPT or Claude) are great at generating content – but they don’t know your business. Our solutions use a RAG architecture, which means we:

Extract your business documents (PDFs, Word, HTML, JSON, etc.)
1

Split them into knowledge chunks, store them in a vector database (e.g., Pinecone, Qdrant, or Weaviate).
2

When a user asks a question, the system retrieves the most relevant internal content
3

The LLM generates an answer based only on that trusted content.
4
This ensures that answers are grounded in your actual data, with traceable sources - making GenAI usable in industries where accuracy, transparency, and auditability matter.
Real Use Case: Legal Document Assistant
One of our clients, a regional LegalTech company, needed a faster way to surface legal knowledge buried in thousands of contracts, policies, and clauses.
We helped them launch a GenAI-powered assistant using RAG that:
- Let users ask natural language questions like “What are common termination clauses in NDAs?”
- Returned clause-level summaries, links to source documents, and explanations
- Reduced research time from hours to minutes
Now, the legal team spends less time digging and more time delivering.
This same approach works in HR, compliance, finance, and customer support.

Solutions We Build for Forward-Looking Companies
Contract & RFP Summarizers
Condense large documents into readable summaries with citations.
Your Requirement Is Not On the List?
You can definitely explore additional options even if your specific requirements aren’t explicitly mentioned. We provide services like needs analysis, cost estimation, and project/risk management planning. For quicker ROI and idea validation, we can develop and deploy an MVP within a 2–4 month timeframe. We’re happy to discuss your business objectives and challenges.
Our Approach: From Idea to Impact

Discover & Define
We co-create use cases based on real pain points, ROI, and data availability.
1

Design the GenAI Architecture
We choose the best models (OpenAI, Claude, Mistral, Llama 3, etc.) and build your custom RAG pipeline.
2

Ingest and Secure Your Data
We connect to your data sources (SharePoint, Notion, GDrive, SQL, Dropbox, Confluence, etc.) and process it into AI-usable format.
3

Deploy & Integrate
Your GenAI tool lives on your cloud, your domain, or as a private SaaS app. No vendor lock-in.
4

Train, Monitor, Improve
We provide onboarding for your users, improve based on feedback, and scale to more teams.
5
Why Companies Choose Kyanon Digital for GenAI
We don’t just implement technology, we solve business problems with precision, speed, and security. Here’s why forward-thinking companies trust Kyanon Digital to deliver impactful GenAI solutions:

Business-First Strategy —
We Focus on Value, Not Hype
We start every project by understanding your business goals, pain points, and user workflows, not just your tech stack. Instead of pushing generic AI tools, we work backwards from outcomes, whether that means reducing manual research time, improving employee self-service, or generating insights from unstructured data. Every feature we build is tied to a measurable business case, so you get real ROI, not just experimental value.

Built on Real Data —
RAG Ensures Accuracy and Traceability
We use Retrieval-Augmented Generation (RAG) architecture to ground LLM outputs in your actual business content. This means:
- AI answers are always supported by real documents or system records
- Users get citations, source links, and explanations
- You avoid hallucinations and improve trust in AI outcomes
Whether you’re working with contracts, handbooks, compliance guidelines, or operational data, we ensure the AI delivers context-aware, traceable answers.

Secure by Design — No Black-Box LLMs With Your Data
We design with privacy, security, and data sovereignty in mind:
- Your documents are stored in secure environments (cloud or on-prem)
- We use private or dedicated LLM endpoints (OpenAI, Azure OpenAI, Claude, Llama, Mistral, etc.)
- No sensitive data is sent to third-party training pipelines
- You maintain full control over access and audit trails
This is essential for companies in regulated sectors like legal, finance, healthcare, or government.

Flexible & Modular — Easy to Extend and Customize
Our GenAI solutions are built as modular components, so you can:
- Start small (e.g., internal Q&A bot, summarizer) and scale to new use cases later
- Add new data sources or systems (e.g., SharePoint, Notion, Slack, Zendesk, Salesforce)
- Integrate with your workflows via APIs, web apps, or embedded widgets
You own the roadmap. We help you grow it without lock-in or rework.

Enterprise-Grade Support — DevOps, Analytics, Feedback Loop, MLOps
We go beyond building and deploying. We provide:
- Ongoing DevOps support for uptime, performance, and scaling
- Analytics dashboards so you can see how your AI tools are being used
- User feedback loops to improve accuracy and relevance
- Model versioning & MLOps pipelines if you choose to fine-tune or extend models
- SLA-based support and dedicated account managers for larger rollouts
Your GenAI investment isn’t a one-off build, it’s a living system that we help you manage and grow.
Let’s discuss how these practices can drive success for your specific project. Our team can share relevant case studies and references that match your industry and requirements.
Our Featured Projects
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Our Outsourcing Insights
FAQ
Not at all. Our cross-functional experts, AI engineers, solution architects, and product strategists, can handle everything from ideation to deployment. You focus on the business vision; we take care of the tech.
We follow enterprise-grade security protocols, including data encryption, role-based access, and compliance with standards like ISO/IEC 27001. Any data used for AI training or fine-tuning is handled with full transparency and under strict confidentiality. Your IP always remains yours.
That’s exactly what our discovery phase is for. We offer a free consultation to explore potential use cases based on your business model. Whether it’s content generation, customer service, or automation, we help identify high-impact, low-risk opportunities tailored to your goals.
Not with our tailored pricing models. We offer flexible packages including fixed-price MVPs, usage-based plans, and subscription-based AIaaS. Our goal is to help you validate your GenAI idea fast, without burning your runway.
In as little as 4 to 6 weeks. Our rapid development process uses prebuilt GenAI modules and proven frameworks to shorten time-to-market. You’ll get a functional MVP with real users and measurable outcomes, fast enough to impress your investors or early adopters.
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