Service Overview

AI Products

Leverage the power of Large Language Models and Machine Learning to build intelligent applications. We integrate cutting-edge AI to automate workflows and enhance user experiences.

Built with

OpenAIAnthropic ClaudeLangChainpgvectorTypeScriptPython
Eval-driven
Cited responses
Capabilities

Useful AI features, grounded in your data

We build AI that ships — not demos. Every feature comes with retrieval grounded in your sources, structured outputs you can validate, evals that catch regressions, and observability so you know exactly what every prompt costs.

LLM Integration

GPT-4, Claude, and open-weight models — selected per task, not religion.

RAG Systems

Retrieval over your docs with citations, freshness, and re-ranking.

Custom Fine-tuning

When prompting can't get the tone, format, or behavior reliably.

AI Agents & Assistants

Tool-using agents with guardrails, loops, and explicit handoffs.

Vector Database

pgvector or Pinecone, indexed and tuned for your retrieval pattern.

Prompt Engineering

Eval-driven iteration — not vibes — backed by automated test suites.

Who we build for

Built for teams stuck between options

The signals we look for, the painful realities we hear, and the way we typically resolve them.

01

B2B SaaS adding AI

Pain

Your customers are asking for a copilot or AI search and your roadmap can't stop to do months of foundational AI work.

Solution

We integrate alongside your existing stack — RAG, evals, guardrails — without you forking a model team off the main product.

02

Knowledge-heavy workflows

Pain

Teams hunting through PDFs, tickets, and wikis for answers that exist somewhere in your org.

Solution

We build retrieval systems that answer with citations from your actual sources, so trust isn't an act of faith.

03

AI-native MVPs

Pain

You're shipping a v1 where AI is the core value, and demos are easy but the model misbehaves the moment a real user hits it.

Solution

We design for evals from day one — every prompt instrumented, every regression caught before it ships.

04

Internal automation

Pain

Ops teams drowning in classification, triage, summarization, or extraction tasks humans are doing manually at scale.

Solution

We build pipelines that hit your quality bar, with monitoring on accuracy, latency, and cost per run.

Why choose us

Built for ownership, scalability, and the long haul

Shipped with evals, observability, and the cost discipline to run in production.

Competitive Advantage

Embed intelligence directly into your product workflows — before a competitor does.

Operational Efficiency

Automate complex tasks and decision-making with measured accuracy and cost.

Personalized Experiences

Hyper-personalized content and recommendations grounded in real user context.

Technology stack

Opinionated, but not married to a stack

We default to a tight set of tools we trust in production, and pick the right one for each layer.

LLM Providers

01
OpenAIAnthropicAWS Bedrock

Frameworks

02
LangChainVercel AI SDK

Vector DBs

03
pgvectorPinecone

Backend

04
TypeScriptPythonFastAPI

Observability

05
LangSmithHelicone

Storage

06
PostgreSQLS3
FAQ

Questions before we start building?

What teams typically ask before kicking off an engagement.

Still unsure what you need?

Book a 30-minute technical discovery call. We'll help you clarify scope and the right next step.

Book a discovery call

Ready to build?

No pressure. We'll help you clarify scope, budget, and the best technical path forward.