Custom AI agents, LLM-powered features, and answer-engine optimization built for businesses that need AI to do real work. Scoped to a use case, integrated with your stack, and measured against outcomes you can defend.
AEO + AI search visibility
Agents that actually act
Integrated into real workflows
AI READINESS
Scope • Integrate • Deploy
Use Case
Pick
One that pays back fast
Data
Wire
Sources, retrieval, eval
Agent
Build
Tools, guardrails, prompts
Loop
Ship
Measure, refine, expand
We don't sell "AI strategy." We pick one painful workflow, build the model and tooling around it, and ship something that earns its place in your business.
Get cited by ChatGPT, Perplexity, Claude, and Google's AI Overview. Content structuring, schema, and authority signals tuned for answer engines, not just blue links.
Domain-specific agents that read your data, call your tools, and take real actions: triaging tickets, drafting quotes, qualifying leads, running ops.
Ship AI features inside your existing product or internal tools: summarization, search, generation, classification, routing — built like real software, not a demo.
Bring AI into the workflows your team already runs in Shopify, HubSpot, Slack, Notion, Zendesk, spreadsheets — wherever the work actually happens.
Most AI projects die in the gap between demo and production. We close that gap with a process built around evaluation, not vibes.
Map the workflows, score them by ROI and feasibility, and lock in the one use case we're going to ship first.
Connect knowledge sources, build retrieval, and define the eval set so we know what "good" looks like before we ship.
Build the agent or feature, integrate it into your tools, and validate end-to-end with real data and real users.
Track quality, cost, and adoption. Tighten the loop where it pays back, expand into the next workflow only when the first one's earning.
FAST START
Restructure content, schema, and authority signals so your brand surfaces in AI answer engines, not just classic Google.
MOST POPULAR
A production-ready agent for one workflow — sales, support, ops — with tool use, retrieval, evals, and integration into your existing stack.
IN-PRODUCT
Add a real AI feature to your product or internal tool: search, summarization, generation, classification — shipped like the rest of your software.
Start with one workflow. We'll scope it, build it, measure it, then expand from there.
Answer Engine Optimization is SEO for AI search — ChatGPT, Perplexity, Claude, Google's AI Overview. They cite sources differently than classic search, so the content structure, schema, and authority signals you optimize for are different too. Your brand needs to show up there if your buyers ask AI before they Google.
Whichever fits the job. We pick per use case based on quality, latency, cost, and privacy constraints — and we build so swapping providers is a config change, not a rewrite.
Retrieval over your real data, structured tool use instead of free-form output, an eval set that runs before every release, and human-in-the-loop on anything that touches customers or money.
No. We use API endpoints with no-training data policies (OpenAI API, Anthropic API, Gemini API). For sensitive use cases we can run open-weight models on infrastructure you control.