From NITI Aayog and ICMR to TiE Global, the Stop TB Partnership in Geneva, and the India AI Impact Summit — a running record of the recognition, collaborations and platforms that have shaped rises.AI since 2017.
Appreciated by the institutions that shape India's public-health policy — NITI Aayog, the Atal Innovation Mission, ICMR and Startup India.

One of 45 AI startups profiled in the coffee-table book launched by the Atal Innovation Mission at the India AI Impact Summit 2026, spotlighting founders solving real healthcare and social-impact problems with AI.

Reviewed at ICMR Headquarters, New Delhi, by a panel spanning MoHFW, NITI Aayog and WHO. Rises' AI-based imaging analytics was ranked among the top 20 innovations supporting India's 2025 TB-elimination goal.

Featured by the Atal Innovation Mission in its Healthcare coffee-table book, launched as part of AIM's "Sector in Focus" programme spotlighting India's high-tech health innovators.

Publicly appreciated by NITI Aayog and AIM for AI-enabled diagnostic support on lung-related diseases during mass-level COVID-19 testing — flagged directly to the PMO and senior funding-agency leadership.

Pitched to government-linked investors through Startup India's COVID-19 resource programme, ranking in the top 10 AI/software startups out of more than 1,000 applications received.

Listed as an AIM/NITI Aayog incubatee initiative fighting COVID-19, and featured on the national "Startups vs COVID-19" resource platform alongside a curated set of Indian response solutions.
From Santa Clara to Geneva to Delhi — presenting rises.AI's diagnostic platform on international stages.

Shared an AI panel with leadership from HSBC and Deutsche Bank at a pre-event hosted by HSBC with IIT Bombay, discussing rises.AI's TB and mammography screening deployments — with follow-on investor interest.

Invited by the Stop TB Partnership, hosted by the UNOPS Global Health Campus, to present at the India TB Innovators' Spectacle during the 36th Board Meeting in Varanasi.

Connected with Japanese healthcare majors, including Fujifilm and NEC, and investors such as MUFG, at India Today's Indo-Japan Conclave presented by Maruti Suzuki.

Exhibited alongside a curated group of Indian startups at Infinity, the first India-France Digital Partnership Summit, marking 75 years of Azadi Ka Amrit Mahotsav.

Invited to speak at the international "Evidence Based Management of Cancers in India" conference, presenting AI for tracking cancer treatment through diagnostic imaging data.

Presented Rises' Chronic & Critical Care AI software to 600+ attendees worldwide, at a TiE Global (Santa Clara, USA) webinar hosted with the Kirloskar Group.
Keynotes, panels and partnership conversations with TCS, IRIA, leading medical colleges, and India's top engineering institutes.

Delivered an expert talk on "Revolutionizing Healthcare: The AI Advantage" at NIT Raipur, followed by collaboration discussions with the Biomedical Engineering department.

Chief guest at AISSMS IOIT Pune's AI Summit 2025; delivered an expert talk on "Impact of Artificial Intelligence in Medical Diagnostics"

Addressed practising clinicians at IMA-MSN Chhattisgarh's biggest medical youth fest, with follow-on business meetings at hospitals including Shri Balaji Institute of Medical Science, Raipur.

Narayana Darapaneni PhD, delivered the keynote at DMIHER Medicon 2025, Wardha

Presented to a roundtable of AI startups convened by gttDATA, whose leadership includes Chairman Dr Ganesh Natarajan (ex-CEO, Zensar); joint go-to-market discussions with prospective clients now underway.

Panel on "Strategies for Development of a Scalable AI-Powered Workforce" with Innoplexus, Yotta Data and LTIMindtree leadership — sparking new collaboration interest from Philips Diagnostics, C-DAC and Yotta's Nvidia AI cloud.

Spoke on "Revolutionizing Diagnostics Imaging with Semi-Supervised Learning and Gen AI Techniques" at a GPU-focused meetup hosted by Innoplexus.

Reviewed and appreciated by the AI Committee of the Indian Radiological & Imaging Association, chaired by Dr Mona Bhatia (Fortis, Delhi), with Dr Sandeep Jaipurkar (Chennai) mentoring the programme.

Presented rises.AI's CT-lung findings work at a Radiology CME jointly organised by IRIA's Telangana State Chapter and the Department of Radio-diagnosis, Mamata Medical College, Khammam.

Addressed an audience of roughly 5,000 at this global conference on public health, education and research: "AI reduces the stress on medical professionals and works as preventive tech, helping reduce mortality rate."

Keynote on digital technologies and challenges in the pharma sector in the post-pandemic world — covering AI, ML, DL applications and the horizons opening up for the industry.

Rises' Chronic & Critical Care Medical AI Assistant showcased and appreciated by TCS leadership in a NASSCOM West keynote, "From Lab to Life: Operationalizing AI to Improve Your Business Processes."

Invited as domain expert, co-presenting with Dr Arun Jamkar (ex-Dean, Medical Colleges, Pune), on AI-based diagnostics automation and its application to COVID-19.

Panel on "Role of AI in Healthcare: COVID-19, Pandemic and Beyond" hosted by an AIM incubator, plus an Ask-Me-Anything session with AIC-LMCP Foundation and a "AI against COVID-19" webinar at NIT Raipur.
National publications and regional press have covered rises.AI's diagnostic technology and its impact on patient care.

Covered as an AI-based innovation from Gujarat that analyses a chest X-ray and flags disease, its severity and its likely spread — in under half a second.

Rises' story featured as one of 60 "game changers", with founders Ajit Deshpande and Dr Narayana Darapaneni sharing how a chance conversation at TCS grew into a clinical decision-support company.

Featured in the November 2022 "Science and Technology" issue of Kurukshetra, a national rural-development journal published by the Government of India, as an AIC-LMCP-incubated high-tech healthcare startup.

Profiled by GVFL, one of India's oldest venture capital firms, at Vibrant Gujarat — the state's flagship global investment summit.

Profiled alongside German innovation partner Lemon Ideas (with GIZ) for an end-to-end diagnostic and treatment-response solution supporting Nagpur's district COVID-19 response, from screening through pharmacy.
The science underneath the product — peer-reviewed, and indexed by the World Health Organization.
AI, ML, Deep Learning and BigData work for clinical-workflow optimisation and better patient care — spanning evidence-based management, treatment-response assessment and predictive analytics for pulmonary conditions and COVID-19. Nineteen of these papers are indexed on the WHO's global-literature database, authored by Dr Narayana Darapaneni (PhD, Pierre & Marie Curie University, Paris), Chief Data Scientist at Rises.

Topics span pathology detection on chest X-rays, COVID-19 forecasting and death-rate modelling, hospital bed-utilisation prediction, high-risk patient screening from blood exams, and comorbidity impact analysis — among 19 papers indexed by WHO.
Founder and team perspectives on AI in healthcare — recorded talks, the peer-reviewed research behind the platform, and the whitepapers we're preparing next.
A selection of keynotes and panel talks by Rises leadership — recordings linked where publicly available.
Peer-reviewed papers on AI/ML/Deep Learning for COVID-19 and pulmonary-condition detection, authored by Dr Narayana Darapaneni (PhD, Pierre & Marie Curie University, Paris), Chief Data Scientist at Rises — indexed on the WHO global-literature database.
Longer-form perspectives on AI policy, clinical validation and deployment at scale — in preparation.
We're preparing whitepapers and position papers on AI-assisted TB & breast-cancer screening at population scale, and on regulatory pathways for clinical-decision-support software in India. Have a paper, report or slide deck you'd like added here now? Send it our way and we'll get it live.
We're building out a full media gallery — recordings, event photography and press clippings from each of these moments. In the meantime, reach out if you'd like the details behind any story above.