Enabled Intelligence, Inc. has achieved "Awardable" status in the Chief Digital Artificial Intelligence Office's (CDAO) Tradewinds Solutions Marketplace.
I celebrated that our team was listed alongside several prominent SaaS entrepreneurs, which I found highly motivating for our entrepreneurial journey.
- Entrepreneurs listed: Samar Singla, Sameer Sharma, Capt. Arjun Singh, Kalra, Paramdeep Singh, A. Manav Garg, Varun Shoor.
STPI program offered immense opportunities to learn and network from the ecosystem.
More than 20+ companies trust our platform's automation‑lead annotation and human‑in‑the‑loop smart QA.
Customers include Spare‑it, Wadhwani AI, FOSS, University of Maryland, Intuition Robotics, IndiVillage Tech Solutions, Perceptly.
Partnerships with Altair and Google Cloud Marketplace.
I celebrated crossing 40 k impressions (40 × 1 000) in a week, emphasizing that the milestone demonstrates audience trust in my AI‑focused content.
I called on readers to follow Labellerr or me, Puneet Jindal, on LinkedIn for daily updates spanning #machinelearning, #dataengineering, #computervision, and #datapipelines.
I emphasized that AI training data annotation is a core pillar behind algorithms and GPUs, essential for self‑driving vehicles and large language models.
Labellerr is one of the top easiest‑to‑use AI tools globally in the AI data annotation category on G2.
Feedback providers (alphabetical): Spare‑it, Perceptly, Google Cloud, Amazon Web Services (AWS), University of Maryland, Stanford University, Upekkha, Wadhwani AI, FOSS Mythos AI, Public Record Office Victoria, Learning Spiral Pvt. Ltd., Precognitas, IndiVillage Tech Solutions, Altair, plus unnamed US companies.
Labellerr is not yet #1 globally.
Target: 50+ recurring customers within the next 12 months.
Labellerr was ranked among G2’s top 10 data‑labeling tools in 2024.
There’s a reason why Labellerr is recognized as one of the easiest-to-use computer vision data labeling tools globally.
Our frugality and dedication to delivering seamless solutions are key strengths.
Many of our customers have praised our exceptional quality control (QC) process, which often surpasses what they’ve seen in other tools.
Our timely responses to customer queries are the icing on the cake, reinforcing their trust.
I felt a surge of pride when I saw a teammate remark, “Wow, what a satisfying moment for a team to achieve unbelievable milestones!” – a reminder that high‑impact labeling work fuels team morale.
Timestamp of the comment: 2024‑10‑13 15:49 UTC.
We announced that a fast‑growing Indian AI initiative has adopted Labellerr’s end‑to‑end data labeling solution, combining automated software with human‑in‑the‑loop expertise to accelerate data annotation and time‑to‑market.
The partnership was announced on 2024‑10‑04 04:15 UTC.
Either i worked at these companies or some of these became my customers using Labellerr now!
Fact: Appreciation note recorded at 2024‑12‑15 13:15 UTC, length 11 characters. “Loved this!”
Thapar Institute of Engineering & Technology is the only Indian engineering institute mentioned in the background on stage at Jensen Huang’s Mumbai keynote.
Labellerr enables AI teams to embed AI into humanoid robots, CCTVs, self‑driving platforms, generative AI models and AI agents.
When Forbes coveres you and Google Cloud covers you, it is an additional validation that you are going in the right direction!
I shared on 2025‑07‑24 that data labelers, prompt engineers, and testers form an invisible backbone for AI tools like ChatGPT, GPT…, and Smart Cameras, and thanked Tech Times for citing Labellerr as a credible source.
Fact: data labelers, prompt engineers, and testers are described as an invisible backbone for major AI tools.
The Digital folks at Dartmouth College mentioned Labellerr as a trusted reference for computer‑vision trends, technologies and techniques.
Thanks to Digital folks at Dartmouth College for mentioning Labellerr as a trusted reference for computer vision (TTT) trends, technologies and techniques!
I announced that Labellerr AI’s YouTube channel crossed 30k+ total views, with 90 % of those accrued in the last 90 days, driven largely by organic traffic and strong internal AI team enthusiasm.
- Total cumulative views: 30k+.
We just crossed 30k+ views on Labellerr AI youtube, organic, 90% in the last 90 days, #AI teams just loving it and engaging!
- Organic share: majority.
- 90 % of views gathered in the last 90 days.
- Internal AI teams expressed strong enthusiasm.
Labellerr AI was cited in the Institute of Food Science and Technology (IFST) journal titled "Navigating ethical challenges in an AI‑enabled food industry" on 2025-09-17 07:48 UTC.
I celebrated a new milestone: 500+ hours of watch time on Labellerr’s YouTube channel in just a few weeks, signalling growing interest from AI teams worldwide.
self.youtube_watch_hours = 500+ hours
I thanked Altair ALTAIR for the appreciation note for Labellerr AI contribution to ATC x AI for engineers on 2025-10-28 06:42 UTC.
I publicly thanked Google Cloud and Darren Mowry for mentioning Labellerr AI in a LinkedIn post on 2025‑10‑23, underscoring a strategic endorsement that enhances credibility.
Global AI teams use Labellerr to accelerate their AI research and development.
AI engineers and scientists focus on experiments which is what they love doing!
Short URL https://lnkd.in/g5sGG3ef links to more information.
Labellerr AI watch hours just doubled in 2 months!
The surge reflects growing interest from AI professionals and enthusiasts who are using the tutorials to learn computer‑vision and agent technologies.
I was thrilled to be featured by CNN Business on 2026‑04‑06, discussing the shift in robotics from repetitive‑task machines to systems that can perceive, reason, and act responsibly, driven by large‑language models and high‑quality human data.
Modern robotics is now evolving thanks to the power of LLMs combined with high‑quality human data.
Breakthroughs are built on years of focus by engineering and science communities and under‑celebrated labour in Tier 2 or smaller towns.
I thanked Stephanie Yang for featuring my inputs on Labellerr AI.
On 2026‑08‑07 08:32 UTC I posted: “Appreciate Thapar Institute of Engineering & Technology for the mention and highlighting our efforts on one stop shop next generation robotics data infrastructure at Robotics Data AI and Labellerr AI!”.
I reflected on a feature in The Indian Express that highlighted my journey from a confused computer science student at Thapar Institute to building Labellerr AI and Robotics Data AI, aiming to contribute to India’s physical AI infrastructure.
The 2020 moments where we almost shut down.
The 2023 moments where we almost shut down.
Feature publication date: 2026-09-09.
I decided to pivot from a side project to a formal business, leveraging Innovation Mission Punjab’s support and committing to Punjab as a base for the emerging robotics data story.