Mihup vs Eigen Technologies

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Mihup employs 50-200 people, while Eigen Technologies has 100-500 employees.

Eigen Technologies has raised more in total funding at $37M, compared to Mihup's $6M — a gap of $31M.

Eigen Technologies holds the higher Awaira Score at 58/100, compared to Mihup's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 8-point gap that reflects meaningful differences in scale or traction.

Mihup was founded by Biplab Kumar Jha in 2016. Eigen Technologies was founded by Lewis Liu in 2014. Visit each company's profile on Awaira for a full founder biography.

Mihup: Mihup is a conversation intelligence platform specializing in speech recognition and NLP for Indian languages, offering real-time call analytics, voice search, and speech-to-text capabilities tuned for Indic accents and multilingual code-switching common in Indian call centers. The platform serves BFSI, telecom, and retail customers that operate large vernacular customer support operations.\n\nThe company raised approximately $6M in Series A funding and has built proprietary speech models for Bengali, Hindi, and other regional languages that outperform global ASR providers on Indian accent benchmarks. Mihup's products are deployed in production contact centers processing high daily call volumes.\n\nAccurate speech AI for Indian languages remains an underserved technical problem given the phonetic diversity and code-switching patterns of Indian speakers. Mihup's focus on this specific challenge, combined with years of proprietary training data collected from real call center environments, gives the company a technical moat that is difficult for English-first global vendors to replicate quickly. Eigen Technologies: Eigen Technologies builds natural language processing software for document-intensive workflows in financial services, legal, and insurance. The platform uses machine learning models to extract structured data from unstructured contracts, prospectuses, loan documentation, and regulatory filings, enabling financial institutions to automate manual review processes that previously required large teams of analysts.\n\nThe company raised approximately $37 million including a $17 million Series B round led by Goldman Sachs and Lakestar. Its client base includes major investment banks, asset managers, and insurance groups that use the platform to accelerate due diligence, contract management, and regulatory reporting workflows. Eigen reports that clients achieve extraction accuracy rates that match or exceed human reviewers on structured financial documents.\n\nEigen competes in the intelligent document processing market alongside Kofax, ABBYY, and newer AI-native entrants including Zuva and Luminance. Its focus on financial services document types and its ability to train accurate models from small labelled datasets differentiate it in an enterprise sales process where production-grade accuracy on specialist document types is the primary evaluation criterion. The company is headquartered in London with offices in New York, serving both UK and US financial institutions.

Eigen Technologies was founded first in 2014, giving it 2 years of additional market experience. Mihup was founded later in 2016. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Mihup has approximately 50-200 employees, while Eigen Technologies has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Mihup and Eigen Technologies are direct competitors — both operate in the NLP space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.