Services

We focus on four service categories — all powered by Claude, all shipped to production.

01

AI Agents & Multi-Agent Systems

Claude-powered agents that do real work.

Typical timeline

3–6 weeks

Best for

SaaS teams with manual workflows that involve text, classification, or research

We build production AI agents — not chat interfaces. Agents that crawl thousands of sources daily, validate data, classify content, summarize documents, draft outputs, and route decisions to humans only when escalation is needed.

For tasks too complex for a single LLM call, we orchestrate multiple specialized agents. A planner agent decomposes the task. Worker agents handle steps in parallel. A reviewer agent validates outputs before they reach your users. Every agent has retries, fallbacks, and cost ceilings.

If you have a workflow your team does manually that involves judgment, structured data, or research — there's likely a Claude agent that can handle 80% of it.

What's included

  • Architecture and system design
  • Multi-agent orchestration (planning, execution, review)
  • Prompt management and versioning
  • Evals and quality monitoring
  • Cost monitoring and per-call budgets
  • Production deployment with observability
  • Documentation and runbook
02

RAG & Knowledge Automation

Turn your data into AI-accessible knowledge.

Typical timeline

4–8 weeks

Best for

Companies with significant document or knowledge corpora — legal, compliance, support, internal wikis

Most AI features fail because the model doesn't have the right context. RAG (retrieval-augmented generation) fixes this by grounding Claude's responses in your specific documents, data, and history.

We build production RAG systems that handle the parts most tutorials skip: chunking strategies that match your content, hybrid search (vector + keyword), reranking, evals to catch hallucinations, and observability so you know when retrieval breaks.

We use pgvector with PostgreSQL for most projects — it's faster to ship than dedicated vector databases for the typical SaaS scale, and it keeps your stack simple.

What's included

  • Document ingestion pipeline
  • Chunking and embedding strategy
  • Vector search infrastructure (pgvector or Pinecone)
  • Retrieval evaluation framework
  • Claude integration with citation and grounding
  • Admin dashboard for content management
03

Vertical AI Platforms

AI-native SaaS products, built end-to-end.

Typical timeline

6–12 weeks

Best for

Founders launching an AI-native SaaS product

We build complete SaaS platforms with AI features as the core, not as add-ons. Mentoring platforms with AI-driven matching and session summaries. Event platforms with AI-curated agendas and networking. Marketplaces with AI vetting and matching.

Our team has shipped event intelligence systems, mentoring platforms, and B2B marketplaces — and we know the patterns that work in each vertical. You get a senior team that's seen this before, not a generalist learning on your project.

We build the whole product: authentication, payments, admin, mobile if needed, and all the AI features designed in from the start.

What's included

  • Full-stack product (Rails or Next.js + React Native if mobile)
  • Authentication, payments (Stripe), notifications
  • Admin dashboard
  • AI features designed in, not bolted on
  • Production infrastructure (AWS or Vercel)
  • Launch support
04

AI Integration for Existing Apps

Add Claude to your existing product, properly.

Typical timeline

2–6 weeks per feature

Best for

Existing SaaS teams adding their first AI features

You already have a product. You want to add AI features without rewriting your stack or destroying margins on inference costs.

We integrate Claude into existing Rails, Next.js, or Node applications with proper architecture: prompt management, evals, cost monitoring, fallback handling, and feature flags. We work alongside your engineering team — code reviews, standups, your repo.

We don't drop in a wrapper and disappear. We design the architecture to last, document it thoroughly, and transfer knowledge to your team before we leave.

What's included

  • AI feature design and scoping
  • Claude integration with proper error handling
  • Prompt management system
  • Evals and quality monitoring
  • Cost dashboards
  • Knowledge transfer to your team

Not sure which service fits?

Book a 30-minute call. We'll tell you exactly what we'd recommend — and whether we're the right team.