Internal knowledge assistants
RAG (retrieval-augmented generation) over your docs, wiki, drive, tickets. Your team asks questions and gets answers with citations.
AI-powered applications
AI inside your product, not as a gimmick.
LLM integrations into your software and operations. RAG over your knowledge base, sales copilots, document automation, internal agents. Production-grade, not slide-deck demos.
What we build
Four AI shapes that earn their keep.
We avoid the "let's add a chatbot somewhere" trap. Every project starts with a measurable problem.
Document processing pipelines
OCR plus LLM extraction for invoices, contracts, forms, PDFs. Structured data flowing into your existing systems.
Sales & support copilots
LLM features inside your CRM, helpdesk or internal tool. Suggest responses, summarise threads, surface relevant cases.
Background AI agents
Agents that work on a queue: classify, summarise, route, escalate. Tasks your team should not do by hand any more.
When you call us
Three signs AI would actually help you.
Not the FOMO ones. The ones where the ROI is on a spreadsheet.
Your team spends hours every week answering the same internal questions across Slack and email.
You have a knowledge base or document archive that nobody actually searches.
You want to integrate LLMs but you do not want vendor lock-in to one model.
How we work
From use case to production, in four steps.
Typical timeline 8 to 16 weeks. Prototype in week 2 with real data, not slideware.
01
Use-case discovery
Workshop with your team, KPI definition, success criteria. Output: spec + cost-per-call estimate.
02
Prototype
Working prototype with your real data within 2-3 weeks. Validate the pattern.
03
Production build
Provider-agnostic abstraction, caching, retries, observability, cost discipline.
04
Monitoring
Token usage, latency, quality metrics. Optional retainer for model migrations.
Built with
Provider-agnostic by default.
We build a clean abstraction over model providers so you can switch (Anthropic to Mistral to OpenAI) when economics change.
Python OpenAI Anthropic Mistral LangChain PostgreSQL pgvector Redis
We built and operate SiteGrade, a Python platform that runs LLM stages on every scan. We know what AI in production actually costs.
Want to ship an AI feature that earns its keep?
We start with a 1-day discovery call. Pragmatic, no AI hype.