AI and software for software & technology.
Answers instead of dashboards, handoffs that keep their context, and internal tools your teams actually use.
- Ask-your-data assistants
- Revenue analytics
- Internal tools
Sound familiar?
Where the time goes.
Software companies have more data than almost any other kind of business, and still answer the board's questions by hand. We build assistants that answer questions from your own systems and show their sources, tools that fix the handoffs between sales, success and finance, and internal apps your team will actually use.
Dashboards nobody opens
Leaders want the answer to one question, and get forty filters instead.
Handoffs that drop context
What a customer told sales never reaches onboarding or support.
Every team counts differently
Sales, success and finance each count customers and revenue their own way.
Example: a fictional CFO asks why net revenue retention dropped in Q3. The analyst answers that it fell from 112% to 104%, explained by seat cuts at three mid-market accounts (minus 5 points), one enterprise downgrade (minus 2) and renewals signed late (minus 1), shows the last four quarters, names the billing, CRM and close-pack sources, and holds the draft for finance to review because the quarter has not closed.
Use cases
What we would build for you.
- AI assistants
Ask the dashboard
- The situation
- Executives rarely want more filters. They want to know why a number moved, and someone on the data team spends a day finding out.
- What we build
- An assistant that answers questions about revenue, retention and pipeline from your own systems, breaks each change into its causes and shows where every figure came from.
The moment “Why did retention drop?” answered in seconds, with three causes that add up to the change.
- Integrations
The flight recorder
- The situation
- What a new customer told sales, including the problem they need solved first, gets lost on the way to onboarding. Then two teams fix the same handoff with two different tools.
- What we build
- One record of every commitment made during the sale, carried into onboarding and support, with a drafted kickoff plan for the success manager to confirm.
The moment Onboarding opens the account and sees the customer's first priority, in the customer's own words.
- Custom apps
Air traffic control for agents
- The situation
- Teams are running AI agents in sales, support and engineering, and nobody can see what each one is doing or approve the risky actions.
- What we build
- One queue where low-risk agent actions go ahead on their own, and anything that touches customers, money or production waits for a person.
The moment An agent's “send offer” circles until a manager clears it, while routine updates land on their own.
How it works
How a question gets an answer, not a dashboard.
- 01Collect the real questionsWe gather the questions leaders actually ask, and how long each one takes to answer today.
- 02Agree the definitionsOne meaning for revenue, retention and an active customer, written down with the people who own them.
- 03Connect and answerAn assistant answers from your billing, CRM and product data, showing the sources and steps behind each figure.
- 04Finance signs offAnything that is not final, such as an open quarter, is flagged and held for review before it is shared.
Common questions
What people ask us first.
- Can't we just point an AI model at our data?
- That gets you a demo. Real questions need agreed definitions, permissions and sources, and that is most of the work we do.
- Will it work with our stack?
- We work with the common warehouses, billing systems and CRMs. We confirm yours during discovery.
- Who owns what we build?
- You do: the code, the definitions and the documentation, so your team can run and extend it.
How we work
Tell us what is slowing your team down.
A free discovery call, then a written recommendation with one agreed price. A deposit to start, and the rest when it does the job.