What types of projects do you take on?

Production AI systems where the engineering is the hard part. Think letting your team search across thousands of internal documents in natural language, or deploying autonomous agents that run entire business workflows without manual intervention. We also train models on domain-specific data and build deep integrations with the tools you already use. If it could be solved with a prompt wrapper, you probably don't need us.

Which AI models do you work with?

Whichever fits the job. Frontier APIs, open-source models, or a mix of both. The choice comes down to your constraints: accuracy, latency, cost, data residency. Sometimes a smaller model running on your own infra outperforms a flagship API on your specific task. We benchmark on your data before recommending anything.

Do you work with existing dev teams or standalone?

Either works. When we embed with your team, that means shared repos, standups, and code reviews until the knowledge transfer is complete. For turnkey delivery, you get full documentation and a structured handoff. All code, models, and infrastructure are yours regardless of the engagement model.

What does working with you look like?

It starts with a technical audit where we map your data landscape, constraints, and success criteria. From there, we scope the build with clear deliverables, weekly demos, and defined milestones. Timeline depends entirely on what you need. A focused audit or proof of concept can be a few weeks, a full production system takes longer. Nothing is templated; every engagement is scoped around your specific situation.

Why work with you instead of hiring in-house?

Hiring senior AI engineers takes months, and the field moves so fast that yesterday's best practice is already outdated. We ship production systems while you'd still be screening resumes. Once the system is live, everything is yours: code, models, infrastructure, documentation. You can bring it in-house later, or keep iterating with us.

Library 451

From Prototype to Production

Preview

In Action

A real agent executing a real workflow. Not a scripted demo.

Cosmo AIby Library 451

Workspace

Dashboard

Agents

Insights

Knowledge

Build

Playgroundsoon

Connectorssoon

Templatessoon

Alex Morgan

Pro workspace

Good Morning, Alex

3 items need attention

Tue, Jan 14

Morning Brief

AI Curated • 14 sources

Team standup at 10am — agenda prepared by AI

Calendar + Agents

3 competitors launched new features this week

Web Monitor

Contract from Acme Corp ready for review

Gmail + Agents

18°C, clear — optimal for your 6pm run

Weather + Habits

Updated 2 min ago

Active Agents

3 running

Content Writer73%

Drafting blog post

SEO Analyzer45%

Auditing site SEO

Report Builder28%

Weekly summary

12 agents total • 3 shown here

Actions

2 completed today

✓Competitor report sent to #strategy

✓Meeting notes summarized and shared

→Acme Corp proposal reviewed — summary ready

◷Weekly KPI report at 5pm

Connections

5 connected

Gmail

3 new2m ago

Calendar

4 events todaylive

Analytics

Real-timelive

Slack

12 unread5m ago

Notion

Synced1m ago

2 live streams • last sync 2m ago

AI Assistant

Online

What should I focus on today?

Alex

Your top 3 priorities: the team standup at 10am — your agenda is ready. The Acme Corp proposal has been reviewed, I've prepared a summary. And 3 competitors launched new features this week, the report has been sent to #strategy.

Launch a competitor analysis

Alex

Done — I've started the Competitor Monitor agent. It's scanning 5 competitor sites for recent product launches. I'll notify you when findings are ready.

View Agent

Ask about your day...

Services

What We Build

End-to-end AI systems, from prototype to production.

AI Agents

Autonomous software that processes invoices, triages tickets, and qualifies leads. Your rules, human oversight when it counts.

Prompt Engineering

Same AI, same data, but 90% accuracy instead of 40%. The difference is how you ask.

Fine-tuning

A model trained on your data that reasons like a senior employee, not a generic chatbot.

RAG Pipeline

Ask a question across 10,000 documents. Get a precise answer in seconds, with exact sources.

MCP Integration

One server connects every AI tool to your internal systems. CRM, ERP, databases, all through a single interface.

MLOps & Deploy

From notebook to production. Versioned, monitored, auto-scaling, and quality-gated.

Capabilities

Core Expertise

Impact

Quantified Impact

—%

Faster Delivery

Faster task completion with AI-assisted workflows

—%

Tasks Automatable

Of repetitive employee tasks automatable via generative AI

—+

AI Models

Benchmarked across leading providers

—x

ROI

Average return per dollar invested

Process

How We Work

Audit

We start by understanding what you actually have. Your stack, your data, your pain points. Not every problem needs AI, and we'll tell you when it doesn't.

Architecture

Before writing any code, we map the entire system. Which models, how data flows through them, what happens when things break. Everything is documented and agreed upon.

Build

We ship working demos every week. No black boxes, no surprises. Everything is built against the same constraints it'll face in production.

Ship

We don't hand over a repo and wish you luck. We set up the infrastructure, the pipelines, the rollback strategies. Then we deploy it ourselves and make sure it holds.

Operate

Systems degrade silently if nobody's watching. We track performance, cost, and accuracy from day one so problems get caught before your users notice them.

FAQ

Questions & Answers

Let's Build Something

Tell us what you're working on. We'll give you an honest assessment and a clear next step.

Start a conversationFree initial assessment