Question 1

What types of generative AI solutions can Decrypted Labs build?

Accepted Answer

Decrypted Labs can build AI copilots, customer support assistants, sales automation agents, internal knowledge assistants, document processing tools, RAG-based search systems, workflow automation agents, content generation platforms, and AI dashboards. We design these systems to connect with your data, tools, users, and business operations.

Question 2

Can you build AI solutions for enterprises, banks, fintech companies, and regulated teams?

Accepted Answer

Yes. Decrypted Labs can build generative AI solutions for startups, enterprises, banks, fintech companies, and regulated teams. These systems can support customer service, internal knowledge retrieval, document review, workflow automation, KYC assistance, reporting, compliance workflows, and secure access to business data.

Question 3

How do you handle communication and project updates

Accepted Answer

The typical timeline for a project varies based on its scope, complexity, and specific requirements. At our agency, we start by conducting a thorough project assessment and creating a detailed timeline that outlines each phase, from initial research and strategy to design.

Question 4

Can generative AI connect with our internal tools and data?

Accepted Answer

Yes. We can connect AI systems with CRMs, Google Sheets, databases, APIs, calendars, support tools, dashboards, websites, documents, and internal platforms. This allows the AI to retrieve relevant information, update workflows, answer business-specific questions, and reduce manual work across teams.

Question 5

Do you build RAG and knowledge base AI systems?

Accepted Answer

Yes. Decrypted Labs builds customizable RAG-based AI systems that can search thousands of documents, websites, PDFs, Notion pages, Google Drive files, CRMs, databases, and internal knowledge bases. We can also support vector databases, plugin-based knowledge sources, knowledge graphs, workflows, collaborators, and custom access controls.

Question 6

Can you build Generative AI agents that take actions?

Accepted Answer

Yes. We can build AI agents that retrieve data, update CRMs, create tickets, send notifications, summarize conversations, qualify leads, schedule meetings, trigger workflows, and hand off to human teams. Sensitive actions can include approval steps so the AI does not make high-risk decisions without human review.

Question 7

Which AI models and tools do you work with?

Accepted Answer

Decrypted Labs works with OpenAI, Claude, Gemini, Llama, Mistral, open-source models, vector databases, knowledge graphs, speech-to-text tools, text-to-speech systems, and workflow APIs. We choose the model and infrastructure based on accuracy, cost, latency, privacy needs, deployment requirements, and data security.

Question 8

What makes your RAG systems different from a basic chatbot?

Accepted Answer

A basic chatbot usually answers from general model knowledge or a small prompt. Our RAG systems can retrieve information from your own documents, databases, knowledge bases, and business tools before generating an answer. This makes the AI more useful for internal teams, customer support, compliance-heavy workflows, and document-heavy operations.

Generative AIDevelopment Company

Leading Decentralization

End-to-End Generative AI Services

AI Agent Development

Generative AI Solutions Across Industries

AI Models We Work On

The Tech Stack Powering Our Generative AI Apps

Why Choose Decrypted Labs

Workflow-First AI Development

Secure Enterprise Integrations

AI Product Design

RAG and Knowledge Retrieval

Full-Stack AI Engineering

AI Governance and Auditability

Our Generative AI Development Strategy

Planning & Business Consultation

Generative AI Development Strategy — designed to meet your goals.

Frequently Asked Questions About Generative AI Development

Launch Custom Generative AI Solutions