Predible Health vs SigTuple

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Predible Health employs 10-50 people, while SigTuple has 100-500 employees.

SigTuple has raised more in total funding at $20M, compared to Predible Health's $5M — a gap of $15M.

SigTuple holds the higher Awaira Score at 60/100, compared to Predible Health's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

Predible Health was founded by Sanjoy Paul in 2017. SigTuple was founded by Rohit Kumar Pandey in 2015. Visit each company's profile on Awaira for a full founder biography.

Predible Health: Predible Health develops AI software for radiology and medical imaging analysis, with a focus on automated CT scan interpretation for lung nodule detection, COVID-19 assessment, and liver segmentation. The platform integrates with radiology information systems and PACS to provide AI-assisted second reads and quantitative measurements that reduce reporting time and flag critical findings for urgent review.\n\nThe company raised approximately $5M in Series A funding and has established clinical partnerships with hospital networks and diagnostic imaging centers across India. Predible Health received significant validation through its COVID-19 CT analysis tool, which was deployed during the pandemic to help overwhelmed radiology departments manage surge volumes.\n\nRadiology AI represents one of the most commercially mature segments of medical AI globally, with clear clinical workflows, measurable radiologist productivity benefits, and established reimbursement pathways emerging in developed markets. Predible Health's India-focused deployments position it as a domestic alternative to global radiology AI companies, with the advantage of deep integration knowledge in Indian hospital IT environments. SigTuple: SigTuple develops AI-powered automated pathology solutions that digitize and analyze microscopy slides for blood, urine, sputum, and semen samples, enabling high-throughput diagnostic testing without the constant presence of trained pathologists. The company's AI-Minth platform uses robotic sample preparation, high-resolution imaging, and deep learning analysis to deliver diagnostic-grade results.\n\nThe company raised approximately $20M in Series B funding and has deployed its automated microscopy systems at diagnostic labs, hospitals, and blood banks across India, processing millions of diagnostic samples. SigTuple has received regulatory approvals for its diagnostic AI products and has established partnerships with major diagnostic laboratory chains.\n\nIndia faces a severe shortage of qualified pathologists relative to population, creating an acute need for AI-assisted diagnostic automation. SigTuple's approach of combining hardware, robotics, and AI in an integrated system addresses the complete diagnostic workflow rather than just the software layer, creating higher deployment barriers but also higher switching costs and stronger network effects from accumulated diagnostic data.

SigTuple was founded first in 2015, giving it 2 years of additional market experience. Predible Health was founded later in 2017. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Predible Health has approximately 10-50 employees, while SigTuple 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, Predible Health and SigTuple are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.