How much does AI development cost?

AI engagements start from $3,800. Cost depends on data preparation, integrations and how much evaluation the use case needs, and is fixed in a written scope.

Which AI models do you use?

We are model-agnostic and choose per use case, typically Claude, OpenAI or Gemini models, with open models where data or cost requires it. Architecture stays swappable.

We work NDA-first, use enterprise API tiers that do not train on your data, and can deploy inside your own cloud account when required.

How do you stop the AI from making things up?

Retrieval grounded in your sources, citations, guardrails on what the model may answer, and evaluation sets that catch regressions before users do.

How long does it take?

Most AI features ship in 3-6 weeks, starting with a working prototype measured against real examples in the first two weeks.

AI DevelopmentIntelligence, In Production.

Production AI features, agents and copilots, engineered with evaluation, guardrails and monitoring from day one.

Estimate my project

Sound familiar?

AI that demos well but fails in production is worse than no AI at all.

Built for

Products adding an AI feature or copilot
Teams automating knowledge work
Companies with documents and data to unlock

Your AI demo impressed everyone, then fell apart on real customer data.
How we fix it: Evaluation sets built from your data, so quality is measured before launch.
The chatbot confidently answers questions with information that is wrong.
How we fix it: Retrieval-augmented generation grounded in your sources, with citations.
Nobody knows what the AI costs per request or when it starts failing.
How we fix it: Cost tracking, guardrails and monitoring wired in like any production service.

25 services, one senior team.

AI products, agents and RAG systems engineered into your stack with evaluation, guardrails and monitoring - intelligence measured against business metrics, not demo videos.

Assistants & agents

Conversational and autonomous AI that does real work.

Select any service to start a brief with it pre-filled.

What you walk away with.

AI feature scoped against one measurable business metric
RAG or agent architecture with an evaluation harness
Guardrails, prompt versioning and model cost controls
Monitoring for accuracy, latency and spend after launch

How the work runs.

Typical timeline: 3-6 weeks. You see working progress in a demo every week.

Glowing blue network of connected points

Week 1
Target
Pick one measurable job for the AI and collect real examples of it.
Weeks 1-2
Prototype
Model and retrieval choices tested against an evaluation set.
Weeks 2-5
Engineer
Production build with guardrails, fallbacks, logging and cost controls.
Week 5-6
Monitor
Launch with quality dashboards, feedback loops and an improvement plan.

Tools and platforms we work with

Claude
OpenAI
Gemini
LangGraph
LlamaIndex
pgvector
Pinecone
Python
FastAPI
Next.js
Langfuse
AWS Bedrock

Pricing

Three ways to work together.

Published starting prices. Your final quote is fixed in writing after a free discovery call.

AI feature or assistant

From $3,800

Teams adding one well-defined AI capability to a product or workflow.

Use-case definition and eval set
Production integration
Guardrails and monitoring

AI product build

Scoped on call

Founders and companies building a product where AI is the core.

Product and model architecture
Agents, RAG and data pipelines
Full app with admin and analytics

AI improvement retainer

Monthly

Live AI features that need tuning as models and data change.

Quality and cost reviews
Prompt and retrieval tuning
Model upgrades and new evals

Questions, answered.

Something else on your mind? A founder replies within 24 hours.

How much does AI development cost?
AI engagements start from $3,800. Cost depends on data preparation, integrations and how much evaluation the use case needs, and is fixed in a written scope.
Which AI models do you use?
We are model-agnostic and choose per use case, typically Claude, OpenAI or Gemini models, with open models where data or cost requires it. Architecture stays swappable.
Is our data safe?
We work NDA-first, use enterprise API tiers that do not train on your data, and can deploy inside your own cloud account when required.
How do you stop the AI from making things up?
Retrieval grounded in your sources, citations, guardrails on what the model may answer, and evaluation sets that catch regressions before users do.
How long does it take?
Most AI features ship in 3-6 weeks, starting with a working prototype measured against real examples in the first two weeks.

Let's scope your ai development project.

A free call with a founder. You leave with a clear scope, timeline and price, whether or not we work together.