With your team
We build it with your team
Your people work alongside us, and you keep the pipelines, the checks and the know-how when we step back.
You own it when we step back.
For quants and traders, at desks and funds
The data arrives. Your trade is already on.
Parsed and ready before the rest of the desk opens the file.
We build your data in the shape you need, cleaned and checked before it reaches a model, with a lean team.
Your week
Your edge is the signal. Your week goes on the plumbing.
Most of the work in a data business or a fund happens around the model, not in it.
How much of your quants' morning goes to cleaning data before they can look for signal?
When a cancelled or off-market print slips into a curve, how long before anyone notices?
Your buyers want an API and an agent-ready feed. How many people do you have to build it?
How much of the month goes to reconciliations, investor letters and questionnaires around the trade?
You don't need more data. You need the right data, clean, in your shape, when you need it.
Why the work slips
AI flags. Rules fix. A person approves.
AI pays only at the step where work waits. In a data business or a fund that is rarely the model: it is the bad print nobody caught, the curve nobody checked, the break nobody reconciled.
Where AI gets pointed first
The impressive stuff
- An LLM that 'predicts the market'
- A trading bot
- Yet another data vendor
Each one speeds up a step. If that step was never holding you back, the work queues somewhere else, and nothing changes.
Where the work waits
The constraint
- A bad print nobody caught
- A curve nobody checked before release
- A break nobody reconciled
Speed up this step and everything behind it moves. This is the one job to give AI first.
Worked example · Rates data
One bad print, caught before it reached a curve.
Watch Sunita, our AI Data Quality Analyst, take in a day's public swap prints, flag an off-market one, let rules fix the routine, hand the unusual case to a person, check the curve and ship it.
Plays through all six steps. Tap any step to take over.
Worked example. The prints and figures are illustrative, not real market data. The method is real.
The AI does the work. A person approves what is unusual.
In short
What you get
- Your shape, not a vendor's schema.
- Checked on every release, before it reaches a model.
- Money-back guarantee: five times our fee, or a full refund at week 6.
What you can check
Every rupee, traced.
- Every print, rule and decision is in the audit log.
- Every number links to its source.
- Every release passes its checks before it ships.
- At week 6, you decide whether we're on track. If not, a full refund.
Questions
What quants and traders ask us.
Can you do real-time?
Batch and end-of-day data, history and machine-learning datasets we build ourselves. Real-time feeds are a separate build: they need streaming infrastructure and licensed feeds, scoped and staffed with you.
Who owns the code and the data?
Your data stays yours. Ownership of what we build is agreed in writing before we start.
Will the AI touch our trading?
No. No trade, order or allocation is ever placed by AI, and it never changes a feed or a position.
Can our customers' agents use the data?
Yes. We build an API and an MCP server with API keys, per-client entitlements, usage metering, audit logs and rate limits.
How do you avoid bad data?
AI flags cancellations, corrections, duplicates and off-market prints; rules fix the routine; a person approves the unusual; and every release is checked before it ships.
What does it cost?
The assessment is free. Fees are agreed after it, and carry our money-back guarantee: five times our fee, or a full refund at week 6.
How it worksWho does the work, and how we start
What our AI does. Four verbs cover all of it.
Reads
Research, filings, and broker and custodian statements.
Clicks
Broker, custodian and vendor portals.
Watches
Data feeds and pipelines.Watching only. It never changes a feed or a position.
Never decides
No trade, order or allocation is ever placed by AI. Every number is signed by a person.
Your AI team
A chief of staff and four specialists.
Each AI employee has one job at a step where your work waits. Every release, report and number comes to you, or the person you name, to approve.
AI All five are AI employees. You are the only person on this chart.
YouCIO, COO or founderThe person who approves.
DishaAI Chief of StaffReads mail, meetings and the books. Turns the weekly review into owned, dated actions, and routes work to the team. Never decides.
- SunitaData Quality AnalystFlags cancellations, corrections, duplicates and off-market prints, and sends the unusual ones to a person.
- NaveenCurve & History EngineerBuilds end-of-day curves and their history, and checks every rate holds before a release ships.
- LataReconciliation ClerkMatches trades, positions and cash across prime brokers and custodians, and lists every break.
- FarhanResearch ReaderReads broker notes, papers and filings, and summarises them with a source for every point.
Short of people? A Loopsmith, our engineer, can run the team for you.
For data and analytics firms
What we build, AI-native, with a lean team.
From the raw public print to a product an institutional buyer, or their agent, can call. AI flags, rules fix, and a person approves what is unusual.
01
Clean ingest pipelines
Public trade-repository and market data, taken in clean. Cancellations, corrections, duplicates and off-market prints are flagged by AI, fixed by rules, and unusual cases approved by a person.
02
Curves and full history
End-of-day curves with their history, and historical datasets ready for machine learning.
03
Verification on every release
Automated checks that every rate and every curve still holds before it ships.
04
An MCP server and API
Ready for institutional buyers: curve as-of, pricing, spreads and history. API keys, per-client entitlements, usage metering, audit logs and rate limits, with listings on the Snowflake and Databricks marketplaces.
05
Agent products on your data
For example a treasury hedging assistant, loan-pricing checks against the benchmark, or a CFO analyst agent. Each answer cites its source.
06
A Loopsmith at your first customers
Our engineer works with your first customers to wire your data into their work.
Real-time feeds are a separate build: they need streaming infrastructure and licensed feeds, scoped and staffed with you.
For funds
The work around the trade, without the breaks.
In a fund, work waits around the trade, never in it: statements to match, research to read, letters to write and feeds to watch.
- ReconciliationsTrades, positions and cash matched across prime brokers and custodians, with every break listed.
- Research readingBroker notes, papers and filings summarised, each point with its source.
- Letters and reportsInvestor letters, due-diligence questionnaires and regulatory reports drafted for a person to sign.
- Pipeline watchData pipelines watched for stale or broken feeds, and flagged to a person.
How it works
The first two steps are free.
We start with one dataset or one loop, on your own data.
2 minutes
Tell us
Your name, firm, WhatsApp and email. We message you within one working day.
Free
Get assessed
A short conversation about your data and where work waits. We find the step that holds you back.
Within 48 hours
Decide
A two-page note you keep either way: the first dataset or loop to build, and what it takes.
If you go ahead
With your team, or run for you.
Loopsmith services: AI-native services. Our AI does the work, our engineer runs it, your people approve every rupee.
Run for you
Our Loopsmith runs it for you
A Loopsmith, our engineer, runs your pipelines and AI employees and keeps them running, and works with your first customers to wire your data into their work.
The Loopsmith does the work. Your people approve.
Free assessment
Show us the feed you fight with most.
Four fields, or one tap on WhatsApp.
- Within one working dayWe message you on WhatsApp to set a time.
- A short conversationAbout the feed you fight with, and where your work waits. No price list and no obligation.
- A two-page report within 48 hoursThe first dataset or loop to build, and what it takes. Yours to keep, whether or not you work with us.
WhatsApp us Rather talk? One tap opens WhatsApp with us.