Entropik vs Weights and Biases

Weights and Biases has a disclosed valuation of $1.3B, while Entropik's valuation is not publicly available, making a direct size comparison difficult. Weights and Biases employs 300 people.

Weights and Biases has raised more in total funding at $250M, compared to Entropik's $25M — a gap of $225M. Combined, the two companies have completed 8 known funding rounds.

Weights and Biases leads with an Awaira Score of 80/100, while Entropik sits at 60/100. That 20-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Entropik was founded by Ranjan Kumar in 2016. Weights and Biases was founded by Lukas Biewald in 2017. Visit each company's profile on Awaira for a full founder biography.

Entropik: Entropik is an emotion AI and consumer research platform that uses facial coding, eye tracking, voice emotion analysis, and neuroimaging-inspired techniques to measure subconscious consumer responses to advertisements, product packaging, and in-store experiences. The platform provides market researchers and brand teams with quantitative emotional engagement metrics that complement traditional survey-based consumer research methods.\n\nThe company raised approximately $25M in Series B funding from investors including Ankur Capital and YourNest, and serves consumer goods companies, media agencies, and market research firms globally that want to understand emotional drivers of purchase decisions beyond what surveys can capture. Entropik's Affect Lab and Decode platforms automate the collection and analysis of non-conscious consumer responses at a scale and speed that in-lab research cannot match.\n\nConsumer insights is a multi-billion dollar market globally, and the shift toward digital advertising has created strong demand for more granular engagement measurement than view counts and click rates provide. Entropik's biometric and behavioral measurement approach offers a fundamentally different data source — one that captures the emotional responses that drive brand preference and purchase intent beneath stated survey answers. Weights and Biases: Weights and Biases is a machine learning platform founded in 2017 that provides infrastructure for experiment tracking, model management, and collaboration in AI development. The company's core product enables data scientists and ML engineers to log, visualize, and compare machine learning experiments, addressing the reproducibility and collaboration challenges inherent in modern AI workflows. The platform integrates with popular ML frameworks including PyTorch, TensorFlow, and scikit-learn, allowing teams to track metrics, parameters, and outputs across training runs. W&B's offering extends to model registry capabilities, enabling organizations to version, document, and deploy models systematically. The company serves enterprises across computer vision, natural language processing, and reinforcement learning domains. As of its Series C funding stage, Weights and Biases has raised $250 million at a $1.3 billion valuation, positioning it among well-capitalized AI infrastructure startups. The company competes in the ML operations space alongside platforms like Databricks and Neptune, differentiating through its focus on experiment tracking and accessibility to individual practitioners and teams. Notable adoption spans research institutions and technology companies implementing large-scale ML pipelines. The platform's freemium model has facilitated rapid adoption within the academic and startup ecosystems, while enterprise offerings target organizations requiring advanced governance and integration capabilities. Growth trajectory reflects increasing enterprise demand for ML operations infrastructure. Weights and Biases occupies a critical position in the ML operations stack by specializing in experiment tracking and model management, essential infrastructure that bridges individual data scientist workflows and enterprise-scale ML deployment.

Entropik got there first, launching in 2016 — that's 1 year of extra runway. Weights and Biases didn't arrive until 2017. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Entropik has about 100-500 employees; Weights and Biases has about 300. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Entropik and Weights and Biases compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.