Capabilities

The engineering behind
production AI

We're a young studio — so instead of a wall of borrowed logos, here's exactly what we build, how we build it, and the stack we build it on. Judge us on the engineering.

AI Strategy & Development

We find where AI actually pays off, then design systems that can be built — not slideware. Strategy from an engineer who has to make it work afterwards.

What you get

  • AI readiness audit + opportunity map
  • Reference architecture & build plan
  • Model selection, evaluation & cost modeling
  • ROI case before a line of code
Model routing & evalsCost / quality tradeoff modelingModel-agnostic architectureBraintrustOpenRouter

Automations & Agentic Flows

Multi-agent systems that do real work across your tools — with guardrails, evals, and human-in-the-loop, not vibes. Built to hold up past the demo.

What you get

  • Agent workflows wired to CRM / ERP / data
  • Human-in-the-loop approval steps
  • Guardrails, retries & fallbacks
  • Monitoring + eval dashboards
LangGraphMastraMCP tool-useMulti-agent orchestrationHuman-in-the-loop

Bespoke Software Development

AI-native applications where the model is the product, not a bolted-on chatbot. Full-stack, production-grade, built to last.

What you get

  • Web apps, internal tools & dashboards
  • APIs and system integrations
  • Data pipelines & vector search
  • Auth, security & multi-tenancy
Python + FastAPINext.js 16Vercel AI SDKAgentic RAGSupabase

Productionize Vibe-Coded POCs

Bring your Cursor / Bolt / Lovable / Replit prototype. We take it the rest of the way: real architecture, tests, security, observability, and scale.

What you get

  • Refactor into a maintainable codebase
  • Error handling, testing & CI/CD
  • Security hardening & secrets management
  • Observability so you know when it breaks
Durable execution (Temporal)Tracing & evals (Langfuse)GuardrailsCI/CD hardeningObservability

Reference Architecture

Demos break. Systems don't.

Every system we ship sits on the same production backbone. This is the difference between a prototype and software you can trust in front of customers.

01 Interfaces
Next.js 16 + ReactAstro 5Vercel AI SDK (streaming UI)Tailwind CSS
02 Orchestration
LangGraphMastraMCP tool interopTemporal durable execution
03 Retrieval & Knowledge
pgvector + pgvectorscaleTurbopuffer / QdrantContextual Retrieval + rerankingHybrid & agentic RAG
04 Models
Claude (Opus / Sonnet)OpenAI GPTGoogle GeminiLlama / open-weight (self-hosted)
Infrastructure
Cloud: AWS / GCPContainers: DockerServerless / edge: Vercel + CloudflareCI/CD: GitHub ActionsDurable workflows: TemporalSecrets & isolation: Modal sandboxes

Reliability & Observability

Wraps every layer — the part most agencies skip.

  • Evals: Braintrust + Promptfoo
  • Tracing: Langfuse + OpenTelemetry GenAI
  • Guardrails: Llama Guard + NeMo
  • Red-teaming: Promptfoo
  • Cost controls: OpenRouter routing
  • Human-in-the-loop approval

The Stack

The real toolkit.

We're stack-agnostic and pick the right tool per problem — but this is where we live day to day.

Models & AI

Claude (Opus / Sonnet)OpenAI GPTGoogle GeminiLlama (open-weight)DeepSeek / Qwen / MistralVoyage / Cohere embeddings

Agents & Orchestration

LangGraphMastraVercel AI SDKPydantic AIOpenAI Agents SDKMCP (Model Context Protocol)

Retrieval & Data

pgvector + pgvectorscaleTurbopufferQdrantContextual Retrieval + rerankingHybrid & agentic RAGPostgreSQL

Backend & App

Python + FastAPITypeScript / NodeNext.js 16Astro 5SupabaseTailwind CSS

Inference & Serving

vLLMSGLangOllamaGroqTogether AIOpenRouter

Eval, Observability & Reliability

LangfuseBraintrustPromptfooOpenTelemetry GenAILlama Guard + NeMo GuardrailsTemporal

Ways to Work Together

Pick the entry point that fits.

01

AI Audit & Roadmap

A fixed-scope sprint to map where AI pays off and how to build it. You leave with a plan and an architecture — not a buzzword list.

02

Build Sprint

We design and ship a working AI system — agent, app, or automation — production-grade from day one.

03

Productionize

Bring your vibe-coded POC. We harden it into software that scales, stays secure, and survives real users.

04

Embedded AI Engineering

Ongoing senior AI engineering on retainer — we keep building, monitoring, and improving what runs in production.

Case Studies — In Progress

We'd rather show you real engineering than invent client logos.

We're early, and we're picky about what we put our name on. Want to be our first public case study? Let's build something worth writing about.

Book a Discovery Call See What We Build