Real-time bid optimization
Bid shading, clearing-price estimation and pacing models that pay what an impression is worth — never what the auction hopes you'll pay.
Babu Lab · Ad-tech research · Est. 2023
Attention, priced in real time.
We build the algorithms that buy, price and monetize paid traffic — models that read every bid request and decide what it is worth before the page has finished loading.
Paid traffic is a market that never closes. Prices move every millisecond — across every country, every device, every query. Most buyers bring a dashboard to it. We bring a laboratory.
Faster than
a page load.
Our bidders score the query, the placement, the device and the hour, then commit a price — inside the window the auction allows, every time.
Smarter
every night.
Each day of outcomes retrains the models that bid the next morning. The system you meet tomorrow has already learned from today.
Accountable
to the dollar.
Every decision is logged, every spend is traced to its return, and every model earns its place against live money — not a backtest.
The engine
One loop.
Every auction.
-
01 — Sense
Read the market.
Every bid request arrives carrying signal: the query, the placement, the geography, the moment. Our pipelines turn it into features before most buyers have parsed the headers.
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02 — Predict
Price the moment.
Value models estimate what an impression will earn and where the auction will clear. The opportunity lives in the gap between the two.
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03 — Act
Bid, in real time.
Decisions fire per auction, per market, under budget controls that never sleep. What earns is scaled. What doesn't is cut before it costs.
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04 — Learn
Close the loop.
Every outcome flows back into training. The bidder that runs tomorrow has studied everything that happened today.
Research
Seven programs.
One question.
What is a moment of human attention actually worth — and how fast can a machine know it? Every program in the lab is a different way of answering.
Predictive conversion modeling
Regularized forecasting ensembles that price a conversion before the money is spent — so budgets move on evidence, not on yesterday's report.
Search-intent intelligence
Language models that read a query in any language, score its buying intent, and build the related searches that out-earn it.
Autonomous budget control
A closed-loop autopilot that cuts, scales and clones campaigns on its own — inside guardrails a human wrote down once.
Generative creative systems
Pipelines that compose, render and review ad creative at machine speed — with a machine critic that rejects weak work before a person ever sees it.
Competitive signal mining
Continuous scans of public ad libraries that classify rival creative and detect what is scaling — the moment it starts to scale.
Cross-market arbitrage
Models that price the same attention across every market we can reach — and route spend to wherever it is mispriced.
AI-native
Our researchers
don't work alone.
Babu Lab runs on AI agents. Claude writes and reviews our research code, runs the overnight analyses, critiques creative and briefs the team every morning. People set the rules and the guardrails. Agents do the rest — and show their work.
lab.agent — shift report
live
Retrained value models on yesterday's auctions
Re-priced every market against the new curves
Flagged an unusual result in a new geography
Drafted creative variants — critic approved, human queued
Scaled what earned, cut what didn't, inside guardrails
Morning brief posted to the team
Principles
How the lab works.
Real data only.
No demo numbers, no fixtures, no vanity dashboards. If it isn't measured on live traffic, it doesn't ship.
Machines decide. People set the rules.
Every autonomous system runs inside guardrails a person wrote down — and every action it takes is logged and reversible.
Every dollar is an experiment.
Spend is how we ask the market a question. We design each one so it comes back with an answer.
Code that spends gets read first.
Anything that can move money passes an independent, adversarial review before it merges. Speed never skips that step.
We trade on our own systems.
Babu Lab is the research division of Babu Capital, founded in 2023. We deploy our own capital on everything we build — so every idea leaves the lab already tested against real money.
Contact
Talk to
the lab.
Partnerships, research collaborations, supply and demand integrations — or a seat at the bench. Tell us what you're working on.
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