Deep Piction, an EIC Accelerator Winner, Tracks Drugs Cell by Cell
Late-stage drug failures are mostly put down to unforeseen toxicity, off-target effects and lack of efficacy, and MRI and PET, in the words of one EU project, "lack the resolution to provide a comprehensive, single cell view" of where a therapy goes. That project is Deep Piction's own. The company, founded by the Helmholtz Munich researcher Ali Ertürk and based in Neuherberg near Munich, makes a whole mouse transparent, images it in 3D with a light-sheet microscope and uses AI to quantify where a labelled therapy went, cell by cell. Its CORDIS project summary calls the method "zero-slicing, entire-organism coverage, single-cell detail".
The EIC Accelerator selected the project at its 1 October 2025 cut-off on grant-only terms, and CORDIS records an EU contribution of €2,454,812.32, signed on 29 April 2026, for May 2026 to April 2028. With six months of the grant gone, what can be checked is the science behind it, which is published, and the commercial record, which is close to empty: the company names no customer and its news page carries only placeholder entries.
Company file
- Legal entity
- DEEP Piction GmbH, Munich Local Court HRB 272955
- Registered
- 3 February 2022, share capital €29,412
- Address
- Life Science Factory, Ingolstädter Landstraße 1, Neuherberg
- Leadership
- Prof. Ali Ertürk (CEO and founder), Michael Kring (CFO), Henning Lauterbach (VP drug discovery and development)
- Investors
- Koç Holding and a German federal programme, per Forbes Türkiye; no round announced by the company
- EIC project
- Deep Piction, agreement 101297861, 1 May 2026 to 30 April 2028, grant only
- Staff
- Not published; the website names 15 people, plus three advisers
Seeing a whole animal at cell level
The method comes from Ertürk's academic laboratory. He is research director at the Institute for Intelligent Biotechnologies at Helmholtz Munich and a faculty member at LMU Munich, according to LMU's Munich Center for NeuroSciences and his Wikipedia entry, and his group published the DISCO family of tissue-clearing methods, including uDISCO in Nature Methods in 2016 and the panoptic imaging work in Nature Neuroscience.
The company's website describes the pipeline in five steps: a labelled drug is given, the whole body is cleared and imaged by light-sheet microscopy, AI builds an anatomical "digital twin" onto which the signal is mapped, a robotic module samples regions of interest for proteomics and transcriptomics, and the results are turned into pharmacological readouts. Against the established tools, the pitch is resolution: the CORDIS summary argues that the gap left by MRI and PET matters most for mRNA drugs, gene therapies and nanocarriers that must reach specific cells.
The strongest public evidence is a paper. "Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning", published online on 14 January 2025 and in the December 2025 issue of Nature Biotechnology, lists Deep Piction among the authors' affiliations, according to the Technical University of Munich's research portal. Its pipeline, SCP-Nano, detected lipid nanoparticles at doses as low as 0.0005 mg/kg, which the authors call far below the limits of conventional whole-body imaging, and it worked on liposomes, polyplexes, DNA origami and adeno-associated viruses. The author list on Weill Cornell's VIVO record includes several people the company now names as staff, among them Ceren Kimna, Harsharan Singh Bhatia and Denise Jeridi.
The record
From a Helmholtz Munich laboratory to a signed EIC grant
The company is four years old and the EIC project began in May 2026, so most of the record is academic work and the award itself.
- Jul 2019Ertürk heads a Helmholtz Munich instituteThe founder becomes director of the Helmholtz Munich Institute of Intelligent Biotechnologies, per Wikipedia
- Feb 2022DEEP Piction GmbH registeredMunich Local Court, HRB 272955, share capital €29,412
- Jan 2025SCP-Nano paperNature Biotechnology paper on imaging nanocarriers cell by cell across whole mice, with several company staff among the authors
- Sep 2025Koç Holding investment reportedForbes Türkiye reports €3 million from Koç Holding at a €20 million valuation€3M, one source
- Oct 2025Application at the cut-offOne of 923 full applications to the EIC Accelerator's 1 October 2025 cut-off
- Feb 2026SelectedOne of 61 companies selected, and one of 8 on grant-only terms
- Apr 2026Grant signedEC signature on 29 April 2026€2.45M
- Apr 2028Project endsScheduled end of the two-year EIC projectScheduled
Wikipedia and LMU Munich (Ertürk's roles); company register listing; Weill Cornell VIVO; Forbes Türkiye, 4 September 2025; EIC, 17 October 2025 and 17 February 2026; CORDIS project 101297861.
A grant-only award in a blended round
The cut-off drew 923 full applications asking for almost €7 billion, the EIC reported on 17 October 2025. On 17 February 2026 the EIC announced 61 selected companies from 121 interviewed, with 85% on blended finance. The EIC's list of selected companies shows DEEP Piction GmbH with "Grant Only" as its financing type, one of eight such companies, so the award carries no EIC Fund equity.
The cut-off
Grant-only terms were the exception in the October 2025 round
Of the 61 companies the EIC selected from the 1 October 2025 cut-off, 52 were offered blended finance. Deep Piction was one of eight on grant-only terms, so no EIC equity stake comes with its award.
EIC, list of companies selected from the 2025 cut-off (PDF), counted by Rasph.
The grant itself is narrow in what it promises. With the EIC money, the CORDIS summary says, the company will "finalise the standardisation of mRNA labeling in entire adult mouse bodies, scale our commercial efforts, and remain the only solution offering such transformative 3D subcellular analysis". That last part is the company's claim about its market; web searches for this article found no independent comparison of competing whole-body methods to test it. CORDIS gives no total project cost and, this early, no periodic report.
- Standardised mRNA labelling in whole adult miceToo earlyProject runs to April 2028; no result published by the company or in CORDIS.
- Scale commercial effortsNo public evidenceThe website names no customer or partner company; its news page holds three placeholder entries dated March 2026.
- Cell-level whole-body imaging of nanocarriersPublished before the grantSCP-Nano, Nature Biotechnology, January 2025.
- Patent portfolio from the academic workNot listedThe CORDIS summary mentions patents "transferred from our academic roots" but names none.
From imaging service to therapy developer
The project CORDIS describes is a service for others: the company "empower[s] biopharmaceutical companies to optimise therapeutic molecules". The website, checked on 4 November 2026, frames the business differently. It says Deep Piction "combines a proprietary lipid nanoparticle technology for extra-hepatic delivery with AI-quantified whole-mouse imaging" and applies both "to the development of in vivo cellular therapies", and it describes a programme for repeated dosing of targeted nanoparticle carriers. No drug candidate, target or disease programme is named on the site.
The two framings are not exclusive: the imaging is the tool in both, and the website still lists biodistribution and target engagement work. But a company that develops its own therapies needs far more capital and time than one that sells imaging studies, and Ertürk told Forbes Türkiye in September 2025 that he wants to move the company to the United States and build it into the world's largest biotech company.
What the company says
The only company offering whole-body, single-cell views of where a drug goes; a "Drug Development Engine" for its own in vivo therapies, with nanoparticles that deliver beyond the liver and can be dosed repeatedly.
What the record shows
Peer-reviewed imaging methods from the founder's laboratory, a €2.45M grant signed in April 2026, and investment figures reported by one magazine. No named customer, drug candidate or company news item in public.
Money reported, not announced
The only figures for the company's finances come from a single interview. Forbes Türkiye reported on 4 September 2025 that Koç Holding had invested €3 million at a €20 million valuation the month before, that a German federal research ministry programme had put in €1.5 million, and that the company had earned €1.3 million since its founding. None of these figures has been announced by the company or found in a second source for this article. The company's team page does list an advisory board member "representing Koç Holding A.S.", which supports the link but not the amount. Koç Holding's August 2026 disclosure of its holdings does not name Deep Piction, but it covers only direct stakes.
What could not be verified
The company's staff count, revenue and accounts are not public in the sources reviewed; North Data and Dealroom profiles could not be retrieved. The Koç investment, the federal funding and the €1.3 million of revenue rest on one Forbes Türkiye article.
Europe's case: fewer animals, better-targeted drugs
The project sits in two EU agendas at once. CORDIS tags all of the grant to the digital agenda and to artificial intelligence. And the company's argument, that therapies which cannot be tracked in detail lead to late failures and "greater reliance on animal testing", lines up with the Commission's roadmap towards phasing out animal testing for chemical safety assessments, published on 1 June 2026 and covering pharmaceuticals among 15 domains, as reported by RAPS and Cosmetics Business. RAPS reports more than 15 million animals used for EU regulatory testing between 2015 and 2023.
The fit has a limit: the method, as published, images whole mice, so it uses animals. The company's stated aim is to reduce animal use by moving towards in silico models, per Wikipedia and the Forbes Türkiye interview; no figure for any reduction has been published.
Where the winners are
Germany tied with Spain for the most selected companies
Country counts from the EIC's list of the 61 companies selected from the 1 October 2025 cut-off; countries with fewer than three companies are left out.
EIC, list of companies selected from the 2025 cut-off (PDF), counted by Rasph.
Verdict
Deep Piction is built on imaging science with a strong publication record, and the EIC is funding it to standardise mRNA labelling and sell that capability. Six months into the grant, the public record holds the science and the grant agreement, but no customer, no company announcement and no audited figure, while the company's own website has moved its story towards developing therapies of its own.
The reporting is based on publicly available sources, listed below.
Sources
- CORDIS, Deep Piction project fact sheet, grant agreement 101297861
- EIC, companies selected from the 2025 EIC Accelerator cut-off (PDF)
- EIC, 61 start-ups and SMEs secure EIC support, 17 February 2026
- EIC, 923 companies applying for the final 2025 cut-off, 17 October 2025
- Deep Piction, company website, checked 4 November 2026
- Deep Piction, legal disclosure
- Deep Piction, news page
- Unternehmen24, register listing for DEEP Piction GmbH, HRB 272955
- Forbes Türkiye, Prof. Dr. Ali Ertürk and vDISCO, 4 September 2025
- TUM research portal, Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning
- Weill Cornell VIVO, record of the same paper
- Nature Methods, uDISCO, 2016
- Nature Neuroscience, panoptic whole-body imaging
- LMU Munich Center for NeuroSciences, Ali Ertürk
- Wikipedia, Ali Ertürk
- KAP, Koç Holding subsidiaries and financial investments, 5 August 2026
- RAPS, EU publishes roadmap to reduce reliance on animal testing, 2 June 2026
- Cosmetics Business, Commission presents roadmap to phase out animal testing, 2 June 2026
Industry
HealthLife science tools
AlsoHealthBiopharmaceuticals
- Focus
- Analytical services
- Drug delivery
- Technologies
- Artificial intelligence
- Microscopy
- 3D imaging
- Keywords
- Drug development
- Drug discovery
- Preclinical imaging
- Lipid nanoparticles
- Animal testing alternatives
- Pharmaceutical research