How much does a custom AI solution cost?

Costs vary by complexity. A simple GenAI chatbot pilot typically starts around 15,000 to 25,000 USD, while enterprise-grade predictive systems or custom LLM fine-tuning can range from 50,000 to 150,000 USD or more.

Can you integrate AI into our existing software?

Yes. We build AI microservices that connect to your existing ERP, CRM such as Salesforce or HubSpot, or custom software via RESTful APIs, ensuring no disruption to your current workflows.

How long does it take to build an AI MVP?

We typically deliver a functional Minimum Viable Product in 4 to 6 weeks. This allows you to validate the value quickly before investing in a full-scale deployment.

Do you offer support after deployment?

Yes, we offer MLOps (Machine Learning Operations) packages. AI models degrade over time due to model drift; we monitor accuracy, retrain models, and manage server scaling.

What industries do you specialize in?

We have deep vertical expertise in Fintech for Fraud Detection, Healthcare for Patient Triage, Retail for Dynamic Pricing, and Manufacturing for Predictive Maintenance.

What is RAG (Retrieval-Augmented Generation)?

RAG is a technique that connects an LLM to your live company data. It enables the AI to answer questions based on your specific documents such as PDFs, emails, and databases rather than relying solely on general internet knowledge.

Custom AI and Data Science Services

Q: What is the difference between Generative AI and Predictive AI?

Generative AI creates new content such as text, code, or images. Predictive AI analyzes historical data to forecast future outcomes, such as sales numbers or equipment failure.

Q: Do I need a Data Scientist on my team to work with you?

No. We provide a full-service team including Data Engineers, ML Architects, and AI Developers. We also offer training to help your internal team manage the solution post-handover.

Build intelligent enterprises with custom, predictive, and scalable AI — including secure LLM integration and predictive workflows.

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Scalable AI Engineering for Every Stage of the Digital Journey

We specialize in building a unified intelligence layer that scales with your ambition. By combining the creative capabilities of Generative AI with the rigorous precision of Traditional Machine Learning, we create a foundation for sustainable growth. Our Custom AI Development services bridge the gap between off-the-shelf tools and bespoke enterprise requirements, ensuring your AI ecosystem is secure, high-performing, and fully integrated into your core tech stack.

150+

Custom LLM Fine-tunings

100%

Data Privacy Compliance

AI-First Risk Intelligence for Compliance-Driven Enterprises

A real-world case study exploring how DueDel embeds governance, accuracy, and automation into due diligence workflows for banks, investors, and regulated institutions.

Risk Intelligence & Due Diligence for Regulated Enterprises

CASE STUDY

Risk Intelligence & Due Diligence for Regulated Enterprises

Financial institutions, investors, and compliance teams operating in highly regulated environments require accurate, timely, and compliant due diligence to assess risk, meet regulatory obligations, and make informed business decisions at scale.

Risk assessment relied on fragmented research across filings, news, legal data, and market sources, taking hours or days per entity.
Manual workflows often missed early warning signals such as reputational risks, sentiment shifts, litigation history, or compliance red flags.
Increasing deal volumes and evolving regulations made manual processes costly, inconsistent, and difficult to govern securely.

Explore Case Study

CORE SERVICE PILLARS

We offer a modular approach to AI development, allowing you to start small and scale fast.

Move beyond ChatGPT wrappers. We build secure, domain-specific GenAI engines. We specialize in Retrieval-Augmented Generation (RAG) architectures that allow LLMs to 'chat' with your private enterprise data without exposing it to public models.

Custom LLM Fine-Tuning

Tailor open-source models (Llama 3, Mistral) for your specific industry jargon.

RAG Implementation

Connect GPT-4 or Claude 3 to your internal PDFs, SQL databases, and Sharepoint securely.

AI Agents & Copilots

Build autonomous agents that perform tasks like scheduling, coding, or customer triage.

Multimedia Generation

Develop high-impact automated image, video, and text generation systems designed to increase output.

Turn historical data into future foresight. Our data science teams help you move from descriptive analytics(what happened) to prescriptive analytics(how to make it happen).

Predictive Analytics

Forecast inventory demand, customer churn, and market trends with high precision.

Computer Vision

Automate quality inspection, facial recognition, and object detection using CNNs and YOLO architectures.

Natural Language Processing

Sentiment analysis, document classification, and entity extraction for legal and finance documents.

Recommendation Engines

Personalize user experiences similar to those used by Netflix or Amazon algorithms.

Bespoke solutions for complex, regulated environments. We design AI architectures that integrate seamlessly with your legacy systems(SAP, Salesforce, Oracle).

Private Cloud AI

Deploy models within your own VPC (Virtual Private Cloud) to ensure data sovereignty.

MLOps & Governance

Continuous model monitoring to prevent "drift" and ensure consistent performance over time.

Legacy Modernization

Integrate AI into aging software to modernize functionality, enhance efficiency, and extend the lifecycle of existing infrastructures.