Services / Capabilities
What we engineer.
Four disciplines, one standard: custom logic, audited end to end, built to scale on day one. No templates, no "good enough."
01 / CUSTOM LLM DEVELOPMENT
Custom LLM development
Fine-tuned models trained on your proprietary data, deployed in production with monitoring, evaluation pipelines, and cost controls. Not a ChatGPT wrapper.
- Data audit and samplingLLaMA 3
- Base model selectionMistral
- Fine-tuning and evaluationOpenAI fine-tuning
- Deployment and monitoringModal
// Fine-tuned language models for your data and domain.service custom_llm_development { ▸ LLaMA 3 ▸ Mistral ▸ OpenAI fine-tuning ▸ Modal}// production-ready · audited · 1.1
02 / RAG SYSTEM DEVELOPMENT
RAG system development
Retrieval-augmented generation systems that connect LLMs to your documents, databases, and APIs. Grounded answers, real-time data, no hallucinations.
- Ingestion pipelineLangChain
- Retrieval strategyLlamaIndex
- Answer synthesisPinecone
- Evaluation and iterationpgvector
// Retrieval-augmented pipelines grounded in your data.service rag_system_development { ▸ LangChain ▸ LlamaIndex ▸ Pinecone ▸ pgvector}// production-ready · audited · 1.2
03 / AI CHATBOT DEVELOPMENT
AI chatbot development
Customer-facing or internal chatbots with streaming responses, tool use, human handoff, and analytics dashboards.
- Intent mappingOpenAI
- Tool and knowledge designClaude
- Build and integrateNext.js
- Iterate on real trafficVercel AI SDK
// Production chatbots grounded in your data.service ai_chatbot_development { ▸ OpenAI ▸ Claude ▸ Next.js ▸ Vercel AI SDK}// production-ready · audited · 1.3
04 / AI WORKFLOW AUTOMATION
AI workflow automation
Durable workflows that process documents, route leads, enrich data, and run scheduled jobs — with an LLM in the loop where it matters.
- Process mappingTemporal
- Reliability architectureInngest
- Build and integrateOpenAI
- Monitoring and tuningAnthropic
// AI-driven automations that replace manual ops.service ai_workflow_automation { ▸ Temporal ▸ Inngest ▸ OpenAI ▸ Anthropic}// production-ready · audited · 1.4
The Stack
Battle-tested tools. Deployed with intent.
Frontend
ReactNext.jsTypeScriptTailwind
Backend
NodeGoPostgresRedis
AI / ML
PyTorchLangChainpgvectorvLLM
Infra
AWSDockerTerraformCI/CD