AI-pilled engineers who solve your hardest data problems.
We build custom AI tools and agents that take on real work inside your company, wired into your data and your systems, so your team moves faster and ships what used to be out of reach.
Individual AI wins don't add up to company-wide results.
You've invested in AI. Where's the transformation?
Your people are using AI, and some of it is genuinely good. But it lives in personal chat histories and one-off prompts. Company data gets pasted into whatever tool is open. The prompts, skills, and agents doing real work have no version control, no review, and no owner. So nothing gets shared, and nothing scales past the person who built it.
This is an engineering problem.
Making AI work across a company takes the same discipline as any production system: shared context in one place, access controls on the data, and every prompt, skill, and agent in version control with review. We start with your highest-value workflow, build it right once, and cross-train your team so the next one doesn't need us.
Customer-facing ROI analytics that sales could sell with
Rolling out an AI-native workflow across a data team
Retiring a legacy BI tool without freezing analytics
Main offerings.
AI Enablement
One scoped, high-visibility pilot to prove it out. We set your team up with the right AI architecture while we find the highest-value data and AI use cases.
Context Engineering
AI chatbots that get the right answer, not just any answer. Semantic layer, eval suite, and guardrails before the bot ships.
Analytics Engineering
Models your team can trust and extend. Tested, documented dbt pipelines you own after handoff.
Data Engineering
Modern data stack, built end-to-end. Warehouse migrations, ELT pipelines, and BI delivered in weeks.
A look at what we build.
These are open demos and write-ups. They reflect the kind of work we take on with clients. Same tools, same techniques, same playbook.
The Tableau to Omni migration pipeline
How to cut the toil out of a BI migration and spend your people on the decisions that set you up for success in a modern data environment. A skill-by-skill tour of the pipeline that migrates a Tableau estate to Omni, from discovery through cutover.
I built a people analytics framework you can run on your data. Spicy Data can help you stand it up.
A reusable people analytics framework you can point at your own HRIS data: the four questions every company asks (attrition, representation, pay equity, retention economics), the architecture behind each chart, and how Spicy Data can stand it up for you.
Your sales funnel, transparent in both directions.
A B2B sales funnel you can read both ways: which activities became closed-won revenue, and every deal traced back to the activity that sourced it. Full pipeline transparency for sales teams, plus the attribution logic and architecture behind it.
AI-native since day one.
We built the firm around a simple bet: a small crew of senior experts, paired with AI tooling, can outperform a traditional bench at a fraction of the cost and timeline.
Senior only
Every hour is delivered by a senior engineer. No offshore pipelines, no junior bench, no hidden handoffs.
AI-native delivery
We build with Claude Code, dbt, and modern stacks from day one. Not retrofitted AI. Baked in.
Radical transparency
Open hourly rates, shared SOWs, documented deliverables. You see the markup structure and the work log.
Aligned incentives
Uncapped 5% referral commissions. Fair contractor rates. A model built so everyone wins when the work is good.
From intro call to clean handoff.
Intro call
30 minutes to understand your data, your stack, and what success looks like.
Scoped proposal
Transparent pricing, clear milestones, and a timeline measured in weeks, not quarters.
Build & ship
Senior delivery with AI-assisted workflows. Documentation and tests ship with the code.
Handoff that lasts
Your team owns the output. Clean repos, readable models, no long-term dependency on us.
Ready to add some spice?
A 30-minute call, no pitch deck. We'll talk about your data, your stack, and where AI can actually help.