Generative AI Development Services
Generative AI Development
That Solves
Real Business Problems
- ISO 27001 Certified
- ISO 22301 Certified
- DORA Aligned
- GDPR Compliant
- Start in 7–10 days
- From €5–6k/mo
The Problem with Most Generative AI Projects
That’s where we come in. HST bridges the gap between AI experimentation and production-grade generative AI systems that run reliably, securely, and cost-effectively inside your business.
What We Build with Generative AI
- AI-Powered Business Assistants
Internal assistants that answer employee questions using your company documentation, policies, and knowledge bases.
These go beyond generic chatbots they understand your business context because they’re connected to your data via RAG pipelines and vector databases. Use cases include HR policy assistants, IT helpdesk bots, sales enablement tools, and customer-facing support agents.
- Document Intelligence & Processing
Generative AI systems that read, summarise, extract data from, and generate documents.
Applications include automated contract review, insurance claims processing, regulatory document analysis, report generation, and invoice data extraction. These systems combine OCR, NLP, and LLM capabilities to handle complex, unstructured documents at scale.
- Content Generation Platforms
Custom content generation systems for marketing, product descriptions, personalised communications, and report writing.
Unlike generic tools, our solutions maintain your brand voice, follow your style guides, and integrate with your content management systems.
- Code Assistants & Development Tools
AI-powered development assistants that understand your codebase, follow your coding standards, and help your engineering team work faster.
These can be fine-tuned on your specific tech stack and internal libraries.
- Generative AI Product Features
For SaaS companies and product teams, we build generative AI features directly into your product.
Whether that’s an AI search function, a natural language query interface, automated data analysis, or intelligent recommendations.
Our Technical Approach
- Model Selection
Sometimes the right answer is a smaller, cheaper model fine-tuned on your data.
- RAG Architecture
We build end-to-end RAG systems including document ingestion pipelines, chunking strategies, embedding generation, vector store setup (Pinecone, Weaviate, ChromaDB), retrieval optimisation, and response generation with citation.
- Guardrails & Safety
For regulated industries, we add audit logging, explainability layers, and human-in-the-loop review processes.
- Cost Optimisation
keeping your AI costs predictable and controlled.
When to Use Generative AI vs Traditional ML
Not every problem needs generative AI. Here's our honest assessment:
Use Generative AI when
- You need to work with unstructured text, documents, or natural language
- You want to build conversational interfaces or assistants
- You need content generation, summarisation, or translation
- You need flexible, natural language queries against your data
Use Traditional ML when
- You need numerical predictions (forecasting, pricing, scoring)
- You have structured data and clear input/output patterns
- You need real-time classification with minimal latency
- You need explainable, auditable model decisions for compliance
Use Both when
- You need a predictive model with a natural language interface
- You want to combine document processing with data analytics
- You need an AI system that both predicts outcomes and explains them in plain language
We help you choose the right approach for your specific problem. We won’t sell you generative AI if traditional ML is a better fit.
HST Solutions is
Truly Committed
To The Clients We Serve.
“Nova Leah has been working with HST for the past few years, and our experience has been exceptional. As a startup, we needed a partner who could deliver not just technical excellence but also understand our unique needs and growth pace. HST has more than delivered.
The team's technical expertise is outstanding. They've consistently provided innovative, scalable solutions that align perfectly with our needs. What impresses us most is their flexibility whether it's scaling up quickly or adapting to new requirements, they've been able to pivot and respond swiftly without compromising on quality.
HST feels like a true extension of our in-house team. Communication is effortless, and their proactive approach has fostered a collaborative and transparent working relationship. Despite being an outsourced team, their commitment to our goals and values has been evident from day one.
For any startup looking for a reliable and innovative development partner, HST is a perfect fit. Their understanding of the startup environment, combined with their ability to deliver high quality solutions quickly, has been very impressive.
In summary, HST has been a fantastic partner, the management team have been wonderful to work with - who worked diligently to provide technical excellence, flexibility, and seamless integration with our team. We highly recommend them to any company looking for a top notch software development partner.”
Waystone has been collaborating with HST Solutions for several years now, and our experience has been outstanding. Partnering with HST has significantly helped us develop scalable, secure, and efficient technology solutions that underpin our operations.
HST’s technical expertise is truly remarkable. They've delivered a robust data management framework including customized ETL, a well structured data warehouse, and tailored reporting that aligns seamlessly with our enterprise wide needs. Their ability to adapt to our evolving requirements while maintaining quality has consistently impressed us.
What stands out most is how smoothly HST integrates with our internal teams. Communication is straightforward, and the proactive approach of their developers and project managers fosters a collaborative and transparent working relationship. They’ve quickly become a trusted extension of our workforce, fully committed to our shared objectives.
For any organization aiming to streamline data processes or expand their product offerings based on reliable, single-source data, HST is an ideal partner. Their combination of technical know how, flexibility, and swift turnaround times provides real value and the agility we need to grow.
Frequently asked questions
How much does a custom generative AI solution cost?
A proof of concept for a RAG-based AI assistant typically costs €15,000–€30,000. A production-ready generative AI system with integration into existing workflows ranges from €50,000–€150,000. Ongoing costs include API fees (which vary by model and usage) and our managed support.
Can generative AI work with my existing business data?
Yes. Our RAG implementation connects LLMs to your proprietary data whether it’s in SharePoint, a database, a CRM, PDFs, or email archives. The AI can then answer questions specifically about your business without needing to retrain the model.
Is my data safe when using AI models like GPT-4?
We offer multiple approaches to data security. For maximum privacy, we deploy open-source models (Llama, Mistral) locally within your own infrastructure so no data ever leaves your environment. When using cloud models like GPT-4 or Claude, we use enterprise API agreements with zero data retention and SOC 2 compliance. HST itself is ISO 27001 certified.
What's the difference between fine-tuning and RAG?
RAG connects a language model to your data at query time the model searches your documents and generates answers based on what it finds. Fine-tuning permanently adjusts the model’s weights using your data. RAG is faster to implement, easier to update, and more cost-effective for most business applications. Fine-tuning is better for very specific tasks where the model needs to learn a particular style or domain deeply.
How do you prevent AI hallucinations?
We use a combination of RAG (grounding responses in your actual data), citation requirements (forcing the model to reference sources), confidence scoring, output validation, and human-in-the-loop review for high-stakes decisions. No AI system is perfect, but these layers dramatically reduce hallucination risk.
Can you integrate generative AI into our existing software?
Absolutely. We integrate via REST APIs, webhooks, and platform connectors. Common integrations include CRM systems (Salesforce, HubSpot), content management systems (WordPress, Contentful), customer support platforms (Zendesk, Intercom), and internal tools built on .NET, Python, or Node.js.
Want to explore what generative AI can do for your business?
Book a free 30-minute architecture call. We’ll assess your use case, recommend an approach, and give you an honest view of costs and timelines.
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Get a technical conversation about your project not a slide deck. Whether you need AI integration, a software engineering team, or a data platform, we’ll tell you honestly if we’re the right fit.
