The data team you haven't hired yet.
We build and run the warehouse, the reporting and the automations around them. For funded tech companies that have outgrown spreadsheets and aren't ready to hire three data people. We work in your Slack and ship every week.
Most of it is unglamorous. That's the point.
Nobody hires a data team for the dashboards. They hire one because the numbers don't match, the close takes too long, and the person who understood the spreadsheet just left. We fix that part first.
- 133PL fulfillment feeds pulled into one COGS model, so accounting stopped assembling it by hand.
- 32dbt models quietly affected by a deprecation bug. We found it and fixed it.
- 1,847mis-attributed compliance records taken to zero, checked across about 230,000 cases.
- 46→9Looker models being consolidated, one phase at a time, without moving a single dashboard number.
The data work a growing company needs, owned end to end.
Finance & RevOps data
Close the books without living in ten spreadsheets.
- COGS and margin models
- Close automation, human-approved
- Commissions and billing
- Board and investor reporting
Data foundation
Fix the stack that got built in a hurry.
- BI migrations
- Warehouse builds and rebuilds
- dbt with tests and docs
- Pipeline monitoring
AI agents on your data
Let software do the tedious parts, with a person signing off.
- Pipeline failure diagnosis
- Dashboard building and edits
- Agent-assisted migrations
- Scheduled jobs into Slack
Customer-facing reporting
When your reporting is part of the product.
- Data modeling and semantic layer
- Embedded dashboards
- QA before customers see it
- Pilot feedback loops
What it looks like when it's done.
Accounting workflows running in production
COGS, journal entries, VAT, burn pacing and vendor onboarding, automated. A person approves everything before it posts.
Read the case Warehouse + AI · B2B SaaS ~3minFrom a failed job to a diagnosis in Slack
An agent reads the logs, checks git and the warehouse, and posts the root cause in Slack in about three minutes.
Read the case BI migration · Logistics 220+Dashboards moved from Tableau to Looker
An agentic pipeline drafts each one, checks it against the original, and stops to ask a person when it isn't sure.
Read the caseIn their words.
SF/Silicon Valley level data science expertise at a fraction of the cost. Despite being remote, they're extremely responsive and felt just like having them in-person on our team. They owned our entire data function end-to-end.Andrew Luo · CEO, OneSchema
Rockstars - couldn't recommend them more. Extremely sharp, hard working, willing to go above and beyond. Top expert on all things GTM and data, and a joy to work with.Channing Pear · CEO, Anvil Labs
Three steps. No discovery phase that lasts a quarter.
A 30-minute call
You show us the mess. We tell you whether we can help. Sometimes the answer is no.
A scoped first month
We start with whatever is costing someone hours every week, and get it into production.
One person who knows your business
You get one dedicated person day to day, in your Slack and your tools. Something ships every week.
We're a good fit if
- You're a funded company, roughly 20 to 500 people
- Reporting lives in spreadsheets one person owns
- You want the people doing the work on the call
We're probably not if
- You want a large firm and a steering committee
- You need someone on-site five days a week
- You're shopping for a software license, not a team
Guides for teams that have outgrown spreadsheets.
Making Financial Reporting a Core Part of Your Data Analytics Stack
See why integrating financial reporting with sales data analytics is a must for SaaS companies. Practical guide for creating the perfect data stack.
Data foundationBuilding a Scalable Data Strategy: A Roadmap from Quick Wins to Long-Term Growth
Build a scalable data strategy with clear steps to improve visibility, streamline decisions, and fuel growth at every stage of your business.
SaaS analyticsSaaS Analytics: Beyond Tracking to Prediction and Action
Empower your SaaS growth with AI-driven analytics that unify insights, automate decisions, and turn data into a lasting competitive edge.
Tell us what isn't adding up.
Thirty minutes. Bring the spreadsheet everyone's afraid to touch. We'll tell you plainly whether we can help, and if we can't, who might.
questions@kelihi.com