We're taking on 5 founding clients. Free build. Testimonial in return.

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We build AI agents that actually work.

Tell us the problem. We build the solution.

Most businesses know AI could help them. Few know how to build it properly. We do.

Currently building for our first 5 founding clients.

What we build

Operational agents

Automate the repetitive internal tasks eating your team's time. Document routing, data extraction, report generation, classification.

Product and analysis agents

Research, competitive analysis, market monitoring, data interpretation. The analytical heavy lifting so your team focuses on decisions, not data gathering.

Workflow and process agents

We map your process first, find where the effort actually goes, then build the agent that removes the manual work. Often the most valuable thing we do is the mapping before we build anything.

How it works

01

Brief

Tell us your problem

02

Discovery

We map the process and scope the build

03

Build

We construct the full agent structure

04

Handover

Working agent, full documentation, 30-day support

20+ years. Enterprise scale. Real builds. Not prompts. Not theory. Working agents.

See why

Recent work

See all work

Competitive research agent

Product

SaaS startup, 15-person team

Problem

The product team needed weekly competitor intelligence but had no resource dedicated to it. Research was ad-hoc, inconsistent, and often weeks out of date when it reached the team.

Outcome

Consistent weekly competitive intelligence delivered without manual effort. Product team made two roadmap decisions based on signals surfaced by the agent in the first month.

Claudeweb search MCPstructured output

Document intake and classification agent

Operational

Financial services, 22-person team

Problem

The team received 50-80 documents per day across email and a shared drive. Staff spent 2 hours daily reading, classifying and routing each one manually. Backlogs built up. Documents occasionally went to the wrong team.

Outcome

2 hours of daily manual work automated. Routing accuracy 97%. Human review queue reduced to an average of 6 items per day.

ClaudeMCPdocument processing

Operational report agent

Operational

Professional services, 8-person team

Problem

The ops team spent 4 hours every Monday manually pulling data from three sources to produce a weekly performance report. Same format every week. Error-prone.

Outcome

4 hours of manual work eliminated. Report lands in inboxes before anyone starts work. Zero formatting errors since deployment.

ClaudeMCPscheduled triggers

Ready to build something?

Tell us what you need. We'll tell you what's possible.

Submit your brief