Indian deeptech startup Assessli has secured ₹44.37 crore in funding from Foxhog Ventures to build the world’s first Large Behavioral Models (LBMs). The company claims its breakthrough could
Indian deeptech startup Assessli has secured ₹44.37 crore in funding from Foxhog Ventures to build the world’s first Large Behavioral Models (LBMs). The company claims its breakthrough could redefine artificial intelligence, shifting the focus from language processing to true behavioral understanding.
While the global AI ecosystem has been dominated by Large Language Models (LLMs) such as GPT and Gemini, Assessli is charting a radically different course. Founded in 2022 by Suraj Biswas, Sourabh Gupta, and Aruna Dey, the startup is pioneering Large Behavioral Models (LBMs)—a new category of AI designed to model, replicate, and predict human behavior at unprecedented accuracy.
By drawing insights from genomics, psychology, and digital life patterns, Assessli’s LBMs create highly accurate Digital Twins of individuals, opening up new frontiers for personalization, diagnostics, and decision-making.
The company claims a 99% personalization accuracy, compared to an industry average of just 60% with existing systems—a leap that could redefine how AI interacts with humans across industries.
Foxhog Ventures, a global investment firm with a strong track record in disruptive technologies, has backed Assessli with ₹44.37 crore (approx. $5.3 million) in growth capital. The investment will help Assessli:
Foxhog’s CEO, Tarun Poddar, underscored the transformative potential of LBMs:
“Artificial intelligence stands on the precipice of an inflection point. The next decade will be driven by technologies that go beyond processing language to real comprehension of human behavior. Assessli is leading the way with Large Behavioral Models; a blue ocean opportunity that can potentially disrupt every industry from healthcare to finance.”
LLMs have shown the world how machines can understand, generate, and manipulate human language. But language alone does not capture the full spectrum of human identity and decision-making. This is where Assessli’s LBMs come in.
LBMs integrate three critical layers of data:
This multidimensional approach allows Assessli’s models to predict behavior, adapt in real-time, and personalize outputs in ways language-only systems cannot.
For instance:
In short, LBMs represent a shift from understanding what humans say to understanding why they act the way they do.
Co-founder Suraj Biswas emphasizes that Assessli’s mission is not merely about building another AI product but about creating a foundational infrastructure for human identity in the digital age.
“Our vision for India is bold and transformative. We are creating the first-of-its-kind services designed for mankind and public use, disrupting AI from the inside out. At the core of our efforts is building the infrastructure of identity,” said Biswas.
With identity at the core, Assessli believes LBMs can personalize AI interactions at scale without losing sight of the individual—a key limitation of current models, which often feel generic despite their size and complexity.
Assessli has already filed patents in India to protect its proprietary innovations and has begun training its models on over 20 million proprietary data points.
These data sources cover a wide range of behavioral signals, ensuring the models are robust, diverse, and less prone to the biases that have plagued earlier AI systems.
Beyond India, Assessli has begun expansion efforts in the UK and US, positioning itself to tap into the booming global AI market—expected to cross $10 trillion in value within the next decade.
The demand for AI systems that can move beyond generic outputs to deeply personalized experiences is growing rapidly.
If Assessli can deliver on its claims of 99% personalization accuracy, it stands to carve out a leadership position in these trillion-dollar opportunities.
India has already made global headlines with its contributions to AI—especially in data, engineering talent, and applications in fintech, edtech, and healthcare.
Assessli’s work on LBMs represents a chance for India to move from being a consumer of AI products to a global creator of core AI technology.
If successful, Assessli could:
Despite the promise, Assessli faces significant challenges:
But with Foxhog’s financial muscle and global networks, Assessli has the runway to tackle these hurdles.
Assessli is clear about its next steps:
The startup’s founders are positioning Assessli not just as a company but as a movement to redefine AI for human understanding.
Assessli’s ₹44.37 crore raise from Foxhog Ventures marks more than just another funding announcement. It signals the emergence of a new paradigm in artificial intelligence—one that prioritizes behavior over language, identity over generic models, and personalization over one-size-fits-all outputs.
With patented technology, 20 million data points, global expansion plans, and Foxhog’s backing, Assessli could be on the path to shaping AI’s next chapter.
