Delhivery AI vs Faculty AI

Delhivery AI has a disclosed valuation of $1.7B, while Faculty AI's valuation is not publicly available, making a direct size comparison difficult. Delhivery AI employs 5000+ people.

Delhivery AI has raised more in total funding at $1B, compared to Faculty AI's $42M — a gap of $958M.

Delhivery AI holds the higher Awaira Score at 90/100, compared to Faculty AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 30-point gap that reflects meaningful differences in scale or traction.

Delhivery AI was founded by Sahil Barua in 2011. Faculty AI was founded by Marc Warner in 2014. Visit each company's profile on Awaira for a full founder biography.

Delhivery AI: Delhivery is India's largest publicly listed logistics and supply chain services company, operating an AI-powered platform that coordinates end-to-end parcel delivery, freight forwarding, warehousing, and cross-border logistics through a combination of proprietary technology, owned infrastructure, and a partner network spanning over 17,000 PIN codes. The company's AI systems optimize route planning, dynamic pricing, capacity allocation, and network design across millions of daily shipments.\n\nListed on the NSE and BSE, Delhivery raised over $1B in equity funding prior to its IPO and commands a market capitalization reflecting its position as India's dominant third-party logistics provider. The company serves thousands of direct e-commerce, retail, and enterprise clients and processes hundreds of millions of shipments annually.\n\nDelhivery's scale in Indian logistics creates a data advantage that compounds — each additional shipment improves the AI models that drive route optimization, delivery time prediction, and network capacity planning. As Indian e-commerce continues to expand and logistics infrastructure investment intensifies, Delhivery's technology platform and network scale position it as the default logistics intelligence layer for the Indian supply chain. Faculty AI: Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond. The company builds custom machine learning models, deploys AI decision-support tools, and offers its Frontier data science platform for teams that need to build, deploy, and monitor models at scale.\n\nFaculty has raised approximately $42 million in venture funding and counts the UK National Health Service, the Cabinet Office, and major private sector firms among its clients. The company gained significant visibility for its work supporting the UK government COVID-19 response, supplying data analytics and epidemiological modelling capabilities. It maintains a team of AI researchers and engineers drawn from academic institutions including Oxford and Cambridge.\n\nThe company occupies a distinctive position in the UK AI services market, combining a commercial consulting practice with proprietary software products. Faculty competes with large consultancies such as McKinsey and Accenture as well as boutique AI firms for government and enterprise contracts. Its proximity to policymakers and its record of sensitive public-sector engagements give it a reputational edge in regulated-industry deployments where trust and UK data sovereignty are primary buying criteria.

Delhivery AI was founded first in 2011, giving it 3 years of additional market experience. Faculty AI was founded later in 2014. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Delhivery AI has approximately 5000+ employees, while Faculty AI 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, Delhivery AI and Faculty AI are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.