It's 2:14 a.m. somewhere, and a parent is staring at a phone instead of a crib. The app on screen isn't telling them to relax. It's telling them, with some confidence, that the next good nap window opens at 9:40. That parent is one of more than five million using Huckleberry - and that 9:40 is not a guess. It's a prediction, drawn from five billion logged moments of other people's exhaustion.
A sleep company that quietly became a data company
Huckleberry Labs sells calm. What it actually runs on is math. The Irvine, California company has built the No. 1 baby tracker in several countries by doing something deceptively boring: logging when children sleep, eat, and fuss, then turning billions of those entries into specific, timed advice. The friendly name and the soft branding hide a machine-learning engine that has been fed more infant sleep data than arguably anyone in history.
The product looks like a tracking app. The business is closer to a behavioral-medicine lab that happens to fit in a diaper bag. Parents open it for one reason - more sleep - and stay because it keeps being right.
Family wellbeing can be envisioned as a line of dominoes. By helping with sleep, and expanding how we support parents, we can break the chain reaction.- Jessica Toh, Co-Founder & CEO
Everyone has advice. Almost none of it fits your kid.
Infant sleep is an industry of opinions. Books, forums, grandparents, and a thousand blog posts all promise the secret - and they contradict each other by lunch. The cruel part is that real sleep consultants, the people who can actually read one specific child, cost more than most families can spend. Expertise existed. It just sat behind a price tag.
Then there's the timing problem, which is the one nobody warns you about. Put a baby down ten minutes too early and they fight it. Ten minutes too late and they're overtired and furious. The "sweet spot" is real, narrow, and moves every single day as the child grows. Parents were being asked to hit a target they couldn't see.
The hardest part of parenting isn't love. It's timing - and timing is exactly the thing a tired human brain is worst at.- The case Huckleberry was built to make
Two engineers, one baby who would not sleep
Jessica Toh was working at a software startup when she had her first child. The baby woke every few hours for twenty months. She and her husband, Seng Oon Toh, read everything and fixed nothing. Both are engineers - she has a background spanning electrical engineering, computer science, and business; he came from electrical engineering and R&D - so they did the engineer thing. They started logging data and looking for the pattern.
The bet underneath Huckleberry, launched in 2017, was simple and slightly audacious: that a child's optimal sleep windows are predictable if you have enough data, and that pediatric expertise could be encoded into software instead of billed by the hour. If both were true, you could hand a $200-an-hour consultant's instincts to anyone with a phone. They were betting expertise could scale.
She couldn't predict her own baby's naps. So she used her data-science background to build something that could - then gave it to five million other parents.- The short version of the origin story
SweetSpot, and a berry that already knows your kid
The centerpiece is SweetSpot - a real-time predictive algorithm that tells you, today, when this child is most likely to fall asleep easily. It learns from the child's own history, so the answer on a Tuesday is not the answer from three weeks ago. Around it sits flexible tracking for sleep, feeding, diapers, and growth, plus expert-built sleep plans that adapt instead of preaching.
In February 2026 the company shipped Berry, a context-aware AI that does the one thing a 3 a.m. Google search never could: it already knows your child's age, schedule, and last logged meltdown. No re-explaining. Parents in testing said it felt like talking to a pediatrician who'd read the whole file - because, in a sense, it had.
SweetSpot®
Predicts the optimal nap and bedtime window from a child's own logged sleep history. The narrow target, finally made visible.
Berry AI
Specialized, context-aware assistant that blends each child's data with pediatric expertise - vetted for safety by in-house experts.
The Huckleberry App
All-in-one tracking for sleep, feeding, diapers, and development, with the option to hide whatever you don't care about.
Sleep Plans
Custom, data-driven programs designed to be roughly 10x cheaper than hiring a human sleep consultant.
It feels so much more trustworthy than googling or using AI that isn't specific to children.- Marissa R., mother of a 6-month-old, on Berry