Consistency
Compare assessments on a defined basis.
Use standardised AI scoring as an additional measurement approach within your research. Repeatability does not remove the need to evaluate accuracy and suitability.
For ulcerative colitis research teams, sponsors, and CROs
Build your next research decision on evidence you can explain.
You need to understand what your imaging supports, where disease activity varies, and what deserves a closer look.
With DovaVision UC, you can examine ulcerative colitis endoscopy videos at frame level, review disease features behind AI-generated scores, and bring structured outputs into your research analysis.
The DovaVision UC research offering is available through Alimentiv’s imaging platform. Research use only; not for diagnosis, clinical decision-making, or patient care. Read the intended-use statement.
Start with your research question. You don’t need to choose a product first.
Find your starting pointBeyond the score
When someone questions a score, you need somewhere to go next.
You already have a research process. You may already have expert reads.
Now you need to understand whether additional imaging analysis can answer a question your existing outputs leave open.
Where does disease activity vary within the procedure? What supports the assessment? What could your team examine alongside the other study data?
Another number only helps when you can understand what it adds.
You don’t have to begin by replacing expert review. In Alimentiv’s workflow, AI analysis supplements the reading process, while blinded expert central readers retain final authority over endpoint scoring.
Review Alimentiv’s reading workflow ↗Your starting point
What are you trying to do?
Start with the task in front of you. Choose a path to see the support that fits your work.
Your choice will carry into the enquiry form. You can change your path at any time.
What matters to you
Give your team something it can use, question, and explain.
Visibility
Examine more than the summary.
Review disease activity across the video, including variation that an overall score does not describe.
Defensibility
Explain what supports the result.
Inspect disease-feature information associated with the AI assessment rather than relying on a score alone.
Capacity
Understand the total workload.
Evaluate preparation, processing, review, and rework together. Decide whether the added analysis earns its place in your operation.
Usability
Put the output into your analysis.
Work with visual outputs and structured data exports, including JSON, for further research analysis.
Control
Keep expert judgement in the process.
In Alimentiv’s central-reading workflow, AI provides additional analysis. Expert readers retain endpoint-scoring authority.
You remain accountable for the research. The analysis should help you exercise that responsibility.
Your service options
Choose the support that fits your work.
Your starting point might be an upcoming trial, an existing dataset, an integration requirement, or a development question.
The lanes below describe ways to discuss the work, not fixed packages or guaranteed availability. Scope, responsibilities, access, and delivery arrangements are agreed per project.
Trial imaging analysis
DovaVision UC · Research use
Give your trial team more detail to examine.
Complement expert reading with frame-level analysis of UC endoscopy videos. Review disease features and imaging-quality flags alongside the scoring outputs.
Explore DovaVision UC ↗- Your engagement can be scoped around
- An agreed video set, selected scoring outputs, visual results, and structured data for your research workflow.
- Your starting point
- The research question, study stage, imaging plan, and existing reading process.
- The decision you’re working toward
- Whether the additional analysis contributes enough relevant information to justify its use in your study.
Retrospective research analysis
DovaVision UC · Eligible existing datasets
Ask a defined question of the UC videos you already have.
Examine whether previously collected videos can support an additional research question. DovaVision UC supports retrospective analysis and exploration of disease activity and change over time.
Review retrospective-analysis information ↗- Your engagement can be scoped around
- Dataset suitability, an agreed set of videos, selected image-derived measurements, and outputs for your research team.
- Your starting point
- The question you want to investigate, available videos and visit data, existing assessments, and permissions for further use.
- The decision you’re working toward
- Whether the dataset can support a useful additional analysis, and what limitations should govern its interpretation.
Exploratory findings remain exploratory. Additional analysis is not a promise of a favourable result.
Workflow integration
Research workflows · Technical scoping
Know how the analysis will fit before your team builds around it.
Examine cloud-upload and API-based options against your existing research systems. Establish what needs to move, where it needs to go, and what your team will need to review.
Review integration options ↗- Your engagement can be scoped around
- Data-flow requirements, output mapping, access controls, implementation responsibilities, and an agreed test workflow.
- Your starting point
- Your receiving system, expected analysis volume, data-handling requirements, and technical constraints.
- The decision you’re working toward
- Whether the implementation effort and ongoing workload are acceptable for the value the analysis provides.
Research and technology collaboration
Project-specific development and validation
Turn your GI application into a question you can test.
You may be evaluating an imaging model, exploring a device integration, or considering a data collaboration. Begin with the intended use and the evidence needed to support it.
Review collaboration areas ↗- Your engagement can be scoped around
- Feasibility questions, validation objectives, partner contributions, and agreed development milestones.
- Your starting point
- The application, imaging modality, available data or technology, and the decisions the work needs to support.
- The decision you’re working toward
- Whether there is a credible, mutually useful development project to pursue.
A collaboration discussion does not imply that a development-stage product is generally available.
Product availability
Know what you can use today, and what needs a development discussion.
Research offering
DovaVision UC
UC endoscopy-video analysis for research and clinical trials.
Discuss research access, analysis requirements, and the appropriate delivery route.
Product information ↗
Development-stage · Confirm research access
DovaSound
Intestinal-ultrasound analysis for inflammatory bowel disease.
Discuss the project and confirm whether research access is available for that specific use.
Development information ↗
In development
DovaVision BE
Barrett’s esophagus detection and biopsy-targeting technology.
Discuss a development or research collaboration.
Development information ↗DovaSound’s homepage information references research availability, while its dedicated product page describes it as in development. Confirm project-specific access before planning an evaluation.
Understand the analysis
See what your team would actually review.
Examine the connection between the video, the AI assessment, and the data available for further analysis.
01 · Source imaging
Start with the imaging.
See the material being assessed. Establish video suitability, permissions, and the context needed to interpret the analysis.
02 · Frame-level assessment
Examine what supports the score.
Review disease-feature information and variation across the procedure alongside the AI-generated scoring outputs.
03 · Research output
See what your team can use.
Inspect the visual outputs, structured data format, and level of detail available for further research analysis.
Research and external perspectives
Review the work behind the product.
Examine the research. Understand the relationships. Decide which evidence is relevant to your use.
Published research
Research you can examine.
A 2023 peer-reviewed study investigated deep-learning UC scoring using prospectively collected videos. The study collected 134 videos and excluded poor-quality material before analysis.
The study reports agreement with expert assessments and includes company-affiliated authors. Review its methods and limitations, and establish its relevance to the version and use you are considering.
Review the published study ↗Commercial partner
“more detailed analysis, competitive trial costs, and faster timelines”
Pierre Gaudreault
Identified as Alimentiv’s CEO in the May 2025
launch announcement.
A commercial-partner statement of anticipated value, not a measured customer-outcomes result.
Read the launch announcement ↗Scientific adviser
“like having a Central Reader in your back pocket”
Dr. Simon Travis
Dova scientific advisory board member.
Excerpt from a testimonial published under the former Satisfai name. An affiliated expert perspective, not an independent customer review.
Read the published testimonial ↗Institutional collaboration
“to validate DovaVision UC for the automated scoring of the Mayo Endoscopic Score”
Dr. Darrell Pardi, Mayo Clinic
October 2025 collaboration announcement.
The announcement concerns development and validation, not completed regulatory clearance. Mayo Clinic disclosed a financial interest in the technology.
Read the collaboration announcement ↗These are research, commercial-partner, adviser, and institutional perspectives. They are not presented as independent paying-customer satisfaction evidence. For your evaluation, ask for evidence specific to your intended use.
Your first discussion
Find out whether Dova fits your study before you plan around it.
Start with the research decision you need to support.
Focus the discussion on the question, the available imaging, and the analysis you would need. Examine the relevant product outputs and identify what still needs to be established.
No patient-level data or confidential study documents are needed to make the initial enquiry.
Fit
Is the current offering appropriate for your question and intended use?
Requirements
What data, permissions, outputs, and workflow information are needed to scope the work?
Responsibilities
What would Dova, any delivery partner, and your team each provide?
Your next step
Develop a proposal, define an evaluation, explore a collaboration, or decide not to proceed.
Before you proceed
Before you bring another tool into your research.
Will you have to replace your existing readers?
In Alimentiv’s offering, DovaVision UC is an adjunct to the central-reading process. Blinded expert readers retain final authority on endpoint scoring. Establish the appropriate workflow for your study during scoping.
Review the reading workflow ↗Can you use the research offering for diagnosis or patient care?
No. The DovaVision offering described in the commercial launch is for research use, not diagnosis, clinical decision-making, or patient care. Development-stage clinical applications must be treated separately.
Review the intended-use statement ↗Can you use videos you have already collected?
Retrospective analysis is a described use. Whether your particular dataset is suitable still needs assessment, including video quality, permissions, and the research question.
Review research-use information ↗Will you need to rebuild your workflow?
Do not assume that. Start by reviewing your existing systems against the available integration options. The implementation effort needs to be established for your environment, rather than promised away.
Review available integration options ↗What should you ask to see before proceeding?
Ask for a relevant output example, the evidence applicable to the proposed version, its limitations, and the responsibilities involved in implementation. Your evaluation should address the additional analysis and the work required to use it.
How do you get pricing?
Request a scope and quote for your study or project. Ask for product access, analysis work, integration support, and any partner-delivered services to be identified separately. You should be able to see what is included before agreeing to proceed.
Start a conversation
Start with the research question you need to answer.
Tell Dova what you’re trying to accomplish. Start the conversation with the right context.
Your starting point might be a trial, a dataset, a workflow, or a development project. You don’t need to know the product name to get started.
Your selected path
Start with your research question.
Your enquiry is ready to copy.
Nothing has been sent. Copy the text below, then paste it into Dova’s contact form to complete your enquiry.
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