Scale, without the usual cost curve.
Growth normally means a bigger fixed cost base: more headcount, more agencies, more overhead. We were built to break that link, so a brand can scale output and lower the cost of acquiring each customer at the same time.
AI, Tech and Content in one house
Marketing intelligence, technology and content production sit together, so growth is driven by data and built by one accountable team rather than stitched across vendors.
A distributed model of delivery
Work runs across a large, managed distributed network instead of a fixed in-house cost base, so capacity flexes with demand and unit cost stays low as volume climbs.
Lower cost of acquisition
By joining Data, AI and distributed delivery, we help brands grow while bringing the cost of acquiring each customer down, measured and reported in USD.
The people behind MLabs.
A marketing leader with 15 years driving growth for companies including Aakash Institute as CMO, Snapdeal and Lendingkart. Having managed large-scale budgets and built in-house analytics teams across fintech, edtech and e-commerce, he founded MLabs to solve the problem he lived first hand.
A marketing veteran with close to three decades of experience across conventional media, printing, gifting, packaging, outdoor, and on-ground activations, who has worked with brands including Titan and Tanishq.
Deep operational and growth expertise from scaling two of the most recognised consumer brands in India. At OYO he led control tower operations and drove growth at scale, and he now runs the network and delivery engine behind MLabs.
A deterministic model, not a black-box chatbot.
Most AI marketing tools wrap a general-purpose chat model and hand back a slightly different answer every time you ask. MLabs does not. Our scoring runs on a deterministic model: the same inputs produce the same output on every run, so a score you act on today is the same score an auditor sees next quarter.
Reproducible
Identical inputs return identical scores. No drift, no temperature, no dice roll between runs.
Auditable
Every score traces back to the signals behind it, so a result can be defended line by line.
Stable over time
Scores stay comparable across weeks, campaigns and accounts, so a trend actually means something.
We publish the shape of the method and the full breadth of what it measures. The exact model, the per-dimension weights and the prompts stay proprietary, the way any serious measurement system protects its core.
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