Generative AI Solutions
Wrapping a generic chatbot API around your product isn't a strategy. We build generative AI grounded in your own data, not just plausible-sounding text.
Wrapping a generic large language model around your product isn't a generative AI strategy — it's a demo that breaks the moment a customer asks something specific to your business, because the model has no idea about your data, your policies or your edge cases.
We build generative AI products grounded in your own content — retrieval-augmented systems, fine-tuned models, AI copilots embedded in your existing tools — so responses are actually accurate to your business instead of just sounding confident.
Discuss Your Project →What's Included
- Retrieval-augmented generation (RAG) grounded in your own documents and data
- Fine-tuning where it genuinely improves results, not by default
- Guardrails against hallucination and off-brand or incorrect responses
- Integration into tools your team already uses, not a separate chat window
Built for teams facing this specific problem
- Businesses that bolted a generic AI chat widget on and got embarrassing answers
- Companies with large document or knowledge bases nobody can search well
- Teams wanting an internal AI copilot for a specific, repetitive workflow
- Anyone evaluating generative AI who wants a realistic view of what it can't do yet
From first call to day-to-day delivery
Scope
We define exactly what the system should — and shouldn't — be trusted to answer.
Ground the Model
Connected to your actual documents, data and business logic via RAG or fine-tuning.
Build
The product is built around the workflow it's meant to support, not a generic chat box.
Guardrail & Launch
Tested against edge cases and hallucination risks before it reaches real users.
Situations we see all the time
Making your knowledge base actually searchable
A RAG-based assistant that answers from your real documents, with sources.
Building an internal copilot for a specific workflow
A focused AI tool for one repetitive task your team does constantly, not a general-purpose chatbot.
Fixing a generic AI chatbot that gives wrong answers
Regrounding an existing bolt-on chatbot in your actual business data.
Generative AI Solutions FAQs
That's the core risk we design against — grounding responses in your real data and adding guardrails specifically to reduce hallucination.
Usually the latter — we typically build on top of established models and ground them in your data, rather than training one from scratch.
ChatGPT doesn't know anything about your business. What we build does, because it's connected to your actual data and workflows.
Ready to get started with Generative AI Solutions?
Book a free, no-obligation consultation with our engineering team.