Eigen Technologies vs Mihup

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

Eigen Technologies has raised more in total funding at $37M, compared to Mihup's $6M — a gap of $31M. Combined, the two companies have completed 5 known funding rounds.

Eigen Technologies leads with an Awaira Score of 58/100, while Mihup sits at 50/100. That 8-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

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

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. 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. Mihup competes in the Indian conversation intelligence space against Enthu.ai, Convin, and global platforms like Gong and Chorus that lack deep Indic language support. The company's core advantage lies in its proprietary speech recognition models trained specifically on Indian language datasets, delivering higher accuracy on Hindi, Tamil, Bengali, and other regional languages than English-first competitors can achieve. Mihup has gained traction in BPO, banking, and insurance sectors where call center operations in regional languages represent billions of minutes of untapped analytics potential across the Indian subcontinent.

Eigen Technologies got there first, launching in 2014 — that's 2 years of extra runway. Mihup didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Eigen Technologies has about 100-500 employees; Mihup has about 50-200. 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 Eigen Technologies and Mihup compete in NLP, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.