Revenue pipeline built as a system you own.
AI reads every source. Nothing it produces ships unchecked.
B2B revenue & operations teams — any industry Financial & investment firms Commerce
Every claim the system emits carries the source it came from, or it is not emitted — and you keep the code, the accounts and the evidence.
Built and run on our own account
- 2,552firms classified from their own pages
- 5,302pages fetched, 5,694 source URLs cited
- 76%of 2,552 did not pass — on a deliberately narrow rule set, and each rejection cites the page that justified it
The point is not the share we rejected. It is that we found the ones that fit before anyone spent on the rest. Our own system — not client work.
Two kinds of system: how you win revenue, and how you run.
Revenue systems
Pipeline infrastructure for teams that sell to a defined ICP — SaaS, services, data, fintech, anyone with a B2B motion. Every account read from the firm’s own pages — not from a database tag.
- ICP Coverage AuditTen working days · $1,500, credited against a build
- Pipeline System4–8 weeks · run by us or handed over — you own it either way
- Operating viewIncluded with every build — the system running, in your accounts
Operations systems
Research, document, monitoring and reporting systems — wherever fragmented input has to become an output somebody owns.
We publish the rule we use to decide fit, and use it to decline work.
Operations systemsPipeline you can defend in a review.
Not more contacts. A system that can show, account by account, why each one is in your pipeline — and prove it from the firm’s own pages.
- Lists that do not contain your ICPFiltered by tags nobody checked against the firm.
- Outreach that states things that are not trueThe first line is the risk: generated, confident, unverified.
- A GTM-engineer requisition open for a quarterThe work is real; the hire is slow.
Show the check
One record from the system we run on our own outreach, firm redacted and nothing else changed. A verdict you can argue with beats a list you cannot.
“<Redacted> advises families, HNIs, and NRIs across India and abroad.”
The numbers behind this system, how it decides, and what it gets wrong are on the engineering page.
Financial & investment firms
The month-end that runs on somebody's weekend. Three systems that disagree. “Where did this number come from?” with no answer in the file.
Five things, for PMS and AIF managers, family offices and wealth managers. Monitoring is where we start; research over your own documents is what changes the day.
Exposure and concentration against the mandate, limit breaches, corporate actions on held names, filing changes. Outputs are exceptions carrying their record — never a view on a security.
Client-hosted research over the documents and instruments you hold — every figure carrying the page it came from.
Custodian, broker and administrator data reconciled to the books, with exception queues carrying source lines.
Client statements, investor reporting, the SEBI cadence, NAV and fees checked against the mandate.
Signals derived from your own book, mandate and rules — never a view on a security.
Commerce
Multi-channel brands where the numbers do not agree: payouts that will not reconcile to orders, reports on different timing bases, two tax ledgers that disagree.
A domain we understand and are actively developing systems for. We would rather learn what you need than sell a package.
CommerceSix kinds of system, each one a thing you are handed.
Named the way a buyer receives them.
- Monitoring & event detectionContinuous checks against a rule you define — exceptions, not dashboards.
- Research & document systemsSearch over your own documents, every figure carrying its page.
- Reconciliation & data foundationsTwo or more sources matched line by line, with an exception queue instead of an unexplained variance.
- Reporting systemsAssembled from reconciled data, checked against the mandate before they leave.
- Pipeline infrastructureICP as testable rules, accounts read from the firm’s own pages, outreach from verified facts only.
- Workflow automationThe repetitive path between tools, built once, with a record of every step and a stop switch.
Four stages. One can end in no.
The stage names are not the differentiator. The durations, the price and the verdict rule are.
- Diagnose 10 working daysWe map the workflow against your real data and give you a written teardown, and a verdict that can say no.
- Build 4–10 weeksFixed scope, agreed before we start, built in your environment. You get the code, the accounts, the evidence files and the playbook.
- Operate & transfer Up to 90 days, or monthly if we run itWe run it alongside your team and train the person who will own it.
- Maintain OptionalFormat and rule changes, new sources, a quarterly review.
Every output carries its source, or it does not leave.
Why a team can act on an output without checking it by hand first.
- Principals do the workThe person who scopes your system builds it, and is on the call when it misbehaves in production. No junior bench.
- We run this class of system ourselvesThe research, monitoring and outreach infrastructure behind our own work is the architecture we deploy for clients.
- The numbers are measured, not permittedThese systems run on our own account today. That is why we can publish the rejection rate — nobody had to approve it.
What we decline
Judgment-only outputs. “Put a chatbot on it.” Dashboards with no decision owner. Anything you could not explain to your own regulator without calling us.
Thirty minutes, and a straight answer.
We map your workflow live on the call, and if there is no system worth building we will say so.