Services
Five ways in, but they're not five separate menus - most engagements draw from two or three at once. Below is what's actually included in each, and which layers we most often pair together.
AI Agents & Automation
Software that takes the next step on its own.
The layer everything else is built to support. We scope agents to specific, bounded decisions, have them act on the structured data we've already built, and keep a human in the loop where it matters. Every agent is evaluated against real tasks from your workflow before it goes live.
pairs with AI Assistants & Searchpairs with AI-Native Products
WHAT'S INCLUDED
- LLM-driven AI agents scoped to a specific, bounded task
- Workflow & task automation wired into your existing tools
- Human-in-the-loop review built in wherever the stakes call for it
- Evaluated against real tasks before they go live
AI Assistants & Search
Assistants that actually know your product, docs and data.
An assistant is only as useful as what it's allowed to read. We build RAG pipelines over your own documentation, support history, or product data, so answers are grounded in what's actually true about your business - not a model's best guess from training data.
pairs with AI Agents & Automationpairs with Data & Machine Learning
WHAT'S INCLUDED
- AI assistants embedded in your product or as a standalone tool
- RAG - retrieval-augmented search over your own docs & data
- Orchestration with LangChain or plain code, whichever keeps it simpler
- Source citations built in, so answers are checkable, not just confident
Data & Machine Learning
Clean, structured data, and the models that forecast and reason over it.
This is where most engagements start, because no model is better than the data under it. We build scrapers and LLM-assisted extraction that pull records out of sites, PDFs and legacy tools, normalize them into a schema you can query, then put models on top: time-series forecasting, LLM features on OpenAI, Anthropic or open models, and vector search, each evaluated against your real data before it ships.
pairs with AI Assistants & Searchpairs with AI-Native Products
WHAT'S INCLUDED
- Web scraping at scale, built to survive layout changes
- LLM-assisted extraction with human QA where a script can't safely touch it
- Cleaning, deduplication & embedding-ready schemas
- Time-series forecasting & LLM integration, evaluated on your data
AI-Native Products
Web apps with AI in the core, on infrastructure you own.
We build the product surface, the API underneath it, the AI inside it and the infrastructure it runs on as one piece of work. Copilots, smart search and generated insights are designed in from the first sketch, on FastAPI or Django, and deployed to whichever cloud you already run, with LLM gateways, vector databases and cost monitoring set up alongside. You keep the account keys.
pairs with Data & Machine Learningpairs with AI Agents & Automation
WHAT'S INCLUDED
- Copilots, smart search & generated insights built into the product
- FastAPI & Django applications, built for production load
- Multi-cloud, Docker & CI/CD, vendor- and model-agnostic by default
- LLM gateways, vector databases & cost/latency monitoring
Growth & Analytics
SEO, content and paid campaigns sped up with AI, and measured properly.
Same principle as everything else we build: grounded in data, not guesswork. AI speeds up research, content and creative; people decide what ships. Campaigns across search and social feed straight into attribution and dashboards, with AI-driven forecasting once the trend data is solid, so spend goes to what's actually converting.
pairs with Data & Machine Learningpairs with AI-Native Products
WHAT'S INCLUDED
- AI-assisted SEO & content, built around what your audience actually searches
- Paid search & social campaigns, one point of accountability
- Attribution, funnel analysis & reporting dashboards
- AI-driven spend & trend forecasting where the data supports it