Cogent Labs vs Mihup

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

Cogent Labs has raised more in total funding at $50M, compared to Mihup's $6M — a gap of $44M.

Cogent Labs holds the higher Awaira Score at 55/100, compared to Mihup's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Cogent Labs was founded by Andrew Hall in 2016. Mihup was founded by Biplab Kumar Jha in 2016. Visit each company's profile on Awaira for a full founder biography.

Cogent Labs: Cogent Labs develops AI document processing and text analysis software with specialised capabilities in Japanese character recognition, handwritten text, and structured document data extraction, targeting the Japanese financial services, insurance, and government sectors where large volumes of handwritten and mixed-format documents require processing with high accuracy in Japanese scripts including kanji, hiragana, and katakana. The Tokyo company applies deep learning models trained on large Japanese document datasets to achieve recognition accuracy on complex Japanese text that general OCR systems cannot match.\n\nThe company raised approximately $50 million in venture funding from investors including WiL and Goldman Sachs. Cogent Labs Tegaki handwriting recognition product has been deployed by major Japanese insurance companies, financial institutions, and public sector organisations to automate document digitisation workflows that previously required large manual data entry teams. The Japanese market for document AI is substantial given the volume of paper-based documents in government and financial services operations and the complexity of Japanese script that makes off-the-shelf OCR insufficient.\n\nCogent Labs competes in the Japanese document AI market against OBIC, NTT Data, and international intelligent document processing vendors including ABBYY and Kofax. Its Japanese-specific technical capabilities create a natural market advantage that English-first vendors struggle to match through localisation alone, as accurate Japanese handwriting recognition requires specialised model training that cannot be derived from models built primarily on Latin character datasets. The company has expanded internationally to address Korean and other East Asian scripts with similar character recognition complexity. 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.

Both Cogent Labs and Mihup were founded in the same year — 2016. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

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

Yes, Cogent Labs and Mihup 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.