LLM applications that work on your data, not just in a demo.
We design and build production AI on top of GPT, Claude, Gemini and open-weight models: retrieval over your documents, structured extraction, internal copilots and customer-facing assistants, measured against your real cases before launch.
Sound familiar?
- Your team searches documents, tickets or policies all day for the same answers.
- Staff retype data from PDFs, emails and forms into other systems.
- You built an AI prototype that impressed in a meeting and fails on real inputs.
- You need AI inside an existing product without rebuilding it.
AI & LLM Development: what you get
Retrieval-augmented generation (RAG)
Search and answer over your documents with citations, access control and freshness, so answers can be checked and are scoped to what each user may see.
Document & data extraction
Invoices, contracts, forms and scans turned into structured records, with per-field confidence and human review for the uncertain ones.
Copilots inside your product
Drafting, summarising, classifying and enriching inside the tools your users already open, via your existing APIs.
Evaluation & guardrails
A test set built from your own cases, regression checks on every prompt or model change, and output schemas that stop free-form surprises.
Technology we use
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama / open-weight
- LangChain / LlamaIndex
- pgvector / Qdrant
- Python
- TypeScript
Start with the smallest step that proves value.
AI feasibility sprint (1–2 weeks)
We test your use case on a sample of your real data and tell you plainly whether it is worth building, what it will cost to run, and the accuracy to expect.
Build to production (4–12 weeks)
Fixed-scope delivery of the application, evaluation suite, monitoring and handover documentation.
Ongoing improvement
Monthly retainer for new use cases, model upgrades and accuracy work as your data changes.
Questions buyers ask us
Which model do you use?+
Whichever meets your accuracy, privacy and cost targets on your evaluation set. We compare at least two before committing, and design so the model can be swapped later.
Will our data be used to train public models?+
No. We use API tiers and deployments that do not train on customer data, or self-hosted open-weight models where your policy requires it.
How do you stop hallucinations?+
Answers are grounded in retrieved sources with citations, outputs are schema-constrained, and the system is tested to say 'not found' rather than guess.
Talk to us about ai & llm development.
Tell us about the problem, not the solution. We reply within one business day with questions or a proposed first step and a fixed price for it.
Prefer email? info@crpybyte.com
Often combined with
AI Agent Development
Agents that take actions in your systems, with permissions, approvals and a full audit log.
Business Process Automation
Remove manual work between your systems with reliable, observable automation.
API Development & Integration
APIs and integrations that keep your CRM, ERP, payments and data in sync.
Looking for a specialist company instead? Browse the technology directory.