Generative AI & LLM Integration
We embed large language models into your product as reliable, private, production-grade features, not demos.
What we deliver
DevelMo builds generative AI and LLM features that live inside your product and hold up under real traffic. We design retrieval, prompting, evaluation and guardrails so the model behaves predictably, respects your data boundaries, and stays measurable in production. The result is assistants, search, content and recommendation systems that ship as durable business assets rather than throwaway prototypes.
- ✓LLM-powered assistants and chatbots grounded in your own data via retrieval-augmented generation (RAG), with tool and API calling for real actions
- ✓Natural-language and semantic search over your documents, products and knowledge base using vector embeddings and hybrid ranking
- ✓Automated text and content generation for emails, product descriptions, summaries and structured copy, with brand-voice control and human review
- ✓Recommendation engines that personalise from user behaviour, embeddings and contextual signals
- ✓Custom fine-tuning, instruction-tuning and prompt engineering on your data for higher accuracy, lower cost and tighter control
- ✓Multimodal features: voice commands, transcription, document and image understanding, and image generation
- ✓Evaluation, guardrails and observability: automated eval suites, hallucination and safety checks, prompt versioning, latency and cost monitoring
- ✓Privacy-first architecture with self-hosted or VPC-deployed open models for sensitive and regulated workloads
Grounded answers, fewer hallucinations
RAG over your own content plus automated evaluation means responses are traceable to real sources, so the system stays trustworthy as your data changes.
Your data stays yours
Privacy-first design with self-hosted or VPC-deployed open models keeps sensitive and regulated data inside your perimeter, never used to train someone else's model.
Features that survive production
We ship with monitoring, prompt versioning and cost controls in place, so AI features keep performing, stay affordable and can be improved without rebuilds.
Related services
Predictive Analytics & Business Intelligence
Forecast what happens next, then put it on a dashboard your whole team can act on.
Explore →NLP, Chatbots & Voice Assistants
Conversational AI that understands intent, speaks your customers' languages, and gets sharper with every interaction.
Explore →Data Engineering & Big Data Strategy
We build the data pipelines, lakes, and warehouses that turn raw, scattered data into something your business can actually use.
Explore →Common questions
Do you fine-tune models or just call an API?
Both, depending on the job. We start with strong prompting and retrieval because they solve most cases cheaply, then fine-tune or instruction-tune on your data when you need higher accuracy, a specific tone, or lower per-call cost. We recommend the option that fits your accuracy, latency and budget targets rather than defaulting to the most expensive one.
Can you keep our data private and run without sending it to OpenAI or Anthropic?
Yes. For sensitive or regulated workloads we deploy open-source models self-hosted or inside your own cloud VPC, so prompts and data never leave your perimeter. Where hosted APIs are appropriate we use enterprise terms with no training on your data, and isolate secrets and PII at the application layer.
How do you stop the model from making things up?
We ground responses in your real content with retrieval, constrain outputs with structured schemas and guardrails, and run automated evaluation suites that score accuracy and flag hallucinations before and after release. Combined with production monitoring, this keeps quality measurable instead of anecdotal.
Let's build AI that fits your business
Talk to an engineer who has shipped this, not a salesperson. Free 30-minute consultation.