AI-powered evidence synthesis, delivered through expert review
Tell us about your evidence synthesis project, timeline, and required outputs. We will help you decide whether to start with a free abstract screening pilot, a defined work package, or a full evidence synthesis project.
1,000,000+
abstracts screened
20,000+
outcomes meta-analysed
7 to 14 days
average project delivery
The benefit of AI, delivered as a service
Most teams do not need another platform to learn. They need reliable evidence synthesis outputs.
Synthesa gives you access to AI-powered speed and scale through a managed service model. Your team defines the evidence question, criteria, and required outputs. Synthesa manages the workflow, validates the results, and delivers structured evidence products.
This means you get the operational benefit of AI without asking your team to configure tools, train users, or build internal AI review processes.
From research question to evidence output
1. We align on the project objective
Every project starts by clarifying the question, intended use, scope, and deliverables.
Depending on the project, this may include:
- Research question
- PICO criteria
- Search strategy
- Inclusion and exclusion criteria
- Study design requirements
- Outcomes of interest
- Comparator definitions
- Timeline and required outputs
- Existing datasets or prior screening decisions
Output of this step
A clear project scope and agreed delivery plan.
2. We organise the evidence workflow before analysis begins
Synthesa reviews the available inputs and prepares the project structure. This helps ensure that screening, extraction, and synthesis are aligned with the evidence question.
Inputs may include:
- Search result exports
- Abstract records
- Existing screening decisions
- Full-text articles
- Extraction templates
- Study characteristic tables
- Outcome datasets
- Prior reports or publications
Output of this step
A structured workflow for screening, extraction, synthesis, or analysis.
3. AI-powered workflows accelerate the repetitive stages
Synthesa uses AI-powered workflows to accelerate evidence-intensive tasks such as title and abstract screening, study identification, and structured extraction support.
This is especially useful when projects involve:
- Thousands or hundreds of thousands of abstracts
- Broad search strategies
- Large numbers of outcomes
- Complex inclusion criteria
- Fragmented literature
- Tight delivery timelines
Output of this step
Screened records, structured extracted data, evidence maps, or prepared datasets for synthesis.
4. Experts review the outputs before delivery begins
AI can accelerate the work, but evidence synthesis still requires expert judgement.
Synthesa applies expert review to check project logic, inclusion decisions, extracted data, synthesis assumptions, statistical outputs, and interpretation.
Expert validation may include:
- Review of screening decisions
- Resolution of uncertain records
- Review of extracted variables
- Consistency checks across studies
- Feasibility assessment for meta-analysis or network meta-analysis
- Review of statistical assumptions
- Interpretation of findings
Output of this step
Validated evidence outputs that are ready for reporting, analysis, or decision-making.
5. We turn evidence into structured insight
Depending on the project scope, Synthesa can provide narrative synthesis, evidence mapping, meta-analysis, network meta-analysis, meta-regression, or decision-focused evidence briefs.
Possible synthesis outputs include:
- Evidence maps
- Study summaries
- Evidence gap assessments
- Narrative synthesis
- Frequentist meta-analysis
- Bayesian meta-analysis
- Frequentist network meta-analysis
- Bayesian network meta-analysis
- Meta-regression
- Sensitivity analyses
- Publication-ready tables and figures
Output of this step
Clear evidence synthesis outputs matched to the project objective.
6. You receive outputs your team can use immediately
Synthesa delivers structured outputs designed for your intended use, whether that is client delivery, internal decision-making, publication planning, medical strategy, market access discussions, or further evidence generation.
Deliverables can include:
- Screened abstract lists
- Evidence maps
- Data extraction tables
- Study characteristic tables
- Outcome datasets
- Evidence gap assessments
- Statistical outputs
- Forest plots
- Network diagrams
- Publication-ready figures and tables
- Structured reports or evidence briefs
- Publication-ready manuscript
Output of this step
Decision-ready evidence outputs delivered in a practical format.
What we need from you
The inputs depend on the project type. In many cases, Synthesa can begin with a relatively simple starting package.
For abstract screening
- Search strategy or search result export
- PICO criteria
- Inclusion and exclusion criteria
- Preferred output format
For systematic reviews
- Research question
- Search strategy or literature set
- Eligibility criteria
- Outcomes of interest
- Reporting needs
- Any preferred templates
For meta-analysis
- Included studies
- Extracted outcome data, if available
- Effect measures or raw data
- Timepoints and outcome definitions
- Comparator information
- Analysis objectives
For network meta-analysis
- Intervention and comparator definitions
- Included studies
- Extracted outcome data
- Study arms and outcome measures
- Desired comparisons
- Any prior feasibility work
Faster than traditional delivery.
Easier than adopting AI software.
Synthesa is designed for teams that want the productivity benefits of AI without the burden of operating AI tools themselves.
Traditional CRO workflow
- Often slower to initiate
- Heavily manual screening and extraction
- Less practical for very large literature sets
- Can require larger project commitments
- May be less flexible for pilots or urgent work packages
Self-service AI tools
- Require software adoption
- Need internal training
- Leave workflow management to your team
- Require internal validation
- Still depend on user expertise
Synthesa workflow
- AI-powered workflows delivered as a service
- Expert validation built into delivery
- No new software to learn
- Flexible work packages or full projects
- Average project delivery in 7 to 14 days
Start with a free abstract screening pilot
The pilot is designed to make evaluation simple.
You provide a defined search strategy, PICO criteria, and screening rules. Synthesa screens the records and delivers a structured screened abstract list within a few days.
Parallel pilot
Synthesa screens records from a current project while your internal team screens the same records. You compare the results.
Retrospective pilot
Synthesa screens records from a completed project. You compare the results against previous screening decisions.
Pilot deliverables
- Screened abstract list
- Include and exclude decisions
- Criteria-based screening
- Comparison-ready output
- Delivery within a few days
Structured decisions, expert review, clear outputs
Synthesa’s workflow is designed to make evidence synthesis faster while preserving transparency and usability.
How we support quality
- Clear project scope before work begins
- Criteria-based screening and extraction
- Expert review of uncertain or complex decisions
- Structured outputs rather than generic summaries
- Feasibility assessment before statistical synthesis
- Clear interpretation of methods, assumptions, and limitations
- Outputs aligned to the client’s intended use
Important distinction
Synthesa is not a self-service AI tool and not a black-box automation workflow.
It is an expert-led evidence synthesis service that uses AI to increase speed, scale, and consistency.
Frenquently Asked Questions
Do we need to use Synthesa software?
No. Synthesa delivers evidence synthesis as a service. Your team does not need to learn, configure, or manage any software.
Where is AI used in the workflow?
AI-powered workflows are used to accelerate evidence-intensive tasks such as screening, extraction support, evidence mapping, and synthesis preparation. Expert review remains central to the process.
Can Synthesa work with our existing process?
Yes. Synthesa can work with your search strategy, PICO criteria, templates, datasets, reporting format, and project-specific requirements.
Can Synthesa support only one part of the workflow?
Yes. Synthesa can support individual work packages such as abstract screening, data extraction, meta-analysis, or network meta-analysis.
Can Synthesa manage the full project?
Yes. Synthesa can support full evidence synthesis projects, including systematic reviews, rapid evidence synthesis, meta-analysis, and network meta-analysis.
How quickly can Synthesa deliver?
Many projects are delivered in 7 to 14 days, depending on scope, literature volume, dataset readiness, analysis requirements, and deliverable format.
Have an evidence synthesis project in mind?
Tell us about your research question, timeline, literature set, and required outputs. We can help you decide whether to start with a free pilot, a defined work package, or a full evidence synthesis project.