AI Consulting for Ambitious Builders
Listen. Model the problem before the model.
We start from first principles: the domain, the data, the people using the system, and the failure modes that would actually matter. Good AI consulting begins before prompts, vendors, or architecture diagrams.
Think. Architect agents that earn trust.
We design agentic workflows, RAG systems, eval suites, tool permissions, memory, observability, and escalation paths so a prototype can survive contact with real users, real data, and real accountability.
Build. Ship AI systems that hold up.
We implement the product, the backend, the retrieval layer, the model orchestration, and the operating loop. The goal is not AI theater. It is software that helps serious teams move faster without losing control.
AI consulting fits
Knowledge-work products where AI needs to reason over messy docs, teams, projects, and permissions without getting in the way.
Notion
Operational databases and app-builder teams turning structured workflows into practical AI-assisted systems.
Airtable
Automation platforms where agents need reliable tool use, retries, routing, observability, and human approval.
Zapier
Enterprise search and knowledge teams building retrieval that respects context, identity, freshness, and source quality.
Glean
Legal AI products where grounded drafting, review, provenance, and senior-user trust matter more than novelty.
Harvey
Enterprise generative AI teams building brand-safe assistants, knowledge workflows, and governed content operations.
Writer
Creative AI teams turning generative models into useful workflows for production, editing, review, and collaboration.
Runway
Voice AI products where generation, latency, safety, localization, and creator workflows have to feel polished.
ElevenLabs
Finance operations teams using AI to classify spend, review exceptions, answer policy questions, and reduce busywork.
Ramp
Fintech teams applying AI to support, risk, expense operations, procurement, and executive workflows.
Brex
Marketing automation teams building AI that understands customers, content, campaigns, attribution, and approval loops.
Klaviyo
CRM and growth teams embedding useful assistants across sales, marketing, support, and customer knowledge.
HubSpot
Design-product teams where generative AI has to help nontechnical users make decisions and finish real creative work.
Canva
Visual development teams using AI to generate, edit, explain, and QA production web experiences.
Webflow
Education products applying AI to feedback, tutoring, curriculum generation, personalization, and safety at consumer scale.
Duolingo
Community platforms where AI can summarize, moderate, route, support, and surface context across high-volume conversations.
Discord