Large Language Models are transformative, but only when they are integrated into the systems your team already uses. We connect LLMs to your applications, databases, and workflows via API or local deployment, turning general-purpose intelligence into a purpose-built tool for your business.
Connect to providers like OpenAI, Anthropic (Claude), Google (Gemini), or Mistral via their APIs. Best for teams that want rapid deployment, no hardware overhead, and access to frontier models. We handle prompt engineering, structured output parsing, token management, rate limiting, and fallback logic.
We build integrations that go far beyond a chat window: LLMs that read your database, classify inbound tickets, draft reports from structured data, extract information from documents, and power voice systems.
For organizations that need data sovereignty, predictable costs, or offline capability, we deploy open-source models on your own hardware or VPS. Inference engines like vLLM, llama.cpp, and TGI provide OpenAI-compatible APIs so your application code stays the same.
We handle GPU selection, model quantization (AWQ, GGUF, FP8), VRAM planning, continuous batching configuration, and production monitoring (TTFT, tokens/second, queue depth). Your data never leaves your infrastructure.
Extract structured data from invoices, contracts, emails, and PDFs. Parse, classify, and route documents automatically.
Natural-language interfaces to your company knowledge, SOPs, product catalogs, and internal documentation.
LLM-powered developer tools: SQL generation from natural language, code review assistance, documentation generation.
Automated report narratives, product descriptions, email drafts, and marketing copy generated from your data.
Inbound ticket classification, sentiment analysis, intent detection, and intelligent routing to the right team or system.
LLMs powering real-time voice conversations with customers via phone systems. GPT-Realtime, ElevenLabs, Vapi integration.
Whether you want to plug into a cloud API or run your own model on your own hardware, we will build the integration and put it into production.