Expert-led evidence synthesis, scaled by AI
Synthesa brings together evidence synthesis expertise and AI-enabled scale to help healthcare and life sciences teams answer complex evidence questions faster. From systematic reviews and large-scale abstract screening to meta-analyses, network meta-analyses, and rapid evidence synthesis, we make rigorous evidence generation possible at a speed and scale traditional workflows cannot match.
1,000,000+
abstracts screened
20,000+
outcomes meta-analysed
20% more
relevant studies found
Modern evidence needs have outgrown traditional synthesis workflows
Healthcare and life sciences teams need to make sense of increasingly large, complex, and fast-moving evidence bases.
Traditional evidence synthesis was not designed for this reality. Screening can involve tens or hundreds of thousands of records. Data extraction can span hundreds of studies. Advanced statistical synthesis often requires specialist expertise that is not always available internally.
At the same time, standalone AI tools place the burden back on the team: learning the software, managing the workflow, checking the outputs, and ensuring the final work is methodologically sound.
Synthesa was built for a different model.
We deliver AI-powered evidence synthesis as a service, combining expert-led methods with LLM-enabled speed, scale, and reproducibility. The result is rigorous evidence generation that can move at the pace modern healthcare decisions require.
We convert large, complex evidence bases into clear, structured outputs for decision-making.
Synthesa supports healthcare and life sciences teams that need evidence synthesis delivered quickly, clearly, and at scale.
Our work includes:
- Search strategy generation
- Abstract screening
- Data extraction
- Risk of bias assessment
- Frequentist and Bayesian pairwise meta-analyses
- Frequentist and Bayesian network meta-analyses
- Frequentist and Bayesian meta-regressions
- Evidence gap assessments
Synthesa works with pharma, biotech, medical device, CRO, medcomms, and healthcare research teams that need to generate, interpret, and act on evidence faster than traditional workflows allow.
Not a traditional CRO. Not another AI tool.
Synthesa is a new model for evidence synthesis: expert-led, AI-powered, and built to deliver rigorous evidence work at a scale traditional teams cannot match.
Conventional evidence synthesis
Conventional evidence synthesis brings methodological rigor, but it was not designed for today’s evidence volume, complexity, and pace. Large evidence bases can turn screening, extraction, and synthesis into slow, resource-intensive bottlenecks.
AI tools
Standalone AI tools can speed up individual steps, but they still leave teams responsible for the hardest parts: designing the workflow, validating the outputs, resolving uncertainty, and turning results into decision-ready evidence.
Synthesa
Synthesa delivers AI-powered evidence synthesis as a service. Your team defines the question and required outputs. We manage the workflow, apply AI-powered methods where useful, validate the work through expert review, and deliver structured evidence outputs.
No new software to learn. No internal AI process to manage.
How we approach evidence synthesis
Fast is only useful when the evidence is trustworthy
At Synthesa, every workflow is built around expert judgment. LLM-enabled systems help us screen, extract, structure, and synthesize evidence at scale, while evidence synthesis specialists oversee the methods, resolve ambiguity, validate outputs, and ensure the final evidence product is rigorous, interpretable, and decision-ready.
Scale
matters
When literature sets reach tens or hundreds of thousands of records, or when extraction spans hundreds of studies and multiple outcomes, traditional workflows quickly reach their limits. Synthesa is designed for these high-scale evidence projects, making it possible to pursue questions that would otherwise be too slow, too costly, or too resource-intensive to answer.
Outputs must be
usable
The value of evidence synthesis depends on what teams can do with the results. Synthesa produces clear, structured, and decision-ready outputs that can support internal decisions, external deliverables, publications, regulatory strategy, medical affairs planning, and client-facing reports.
Methods should fit the question
The right methodology depends on the decision the evidence needs to support. Synthesa tailors each project to the question, context, and required level of rigor, from rapid evidence synthesis and landscape assessments to systematic reviews, meta-analyses, and network meta-analyses.
Clients should not need to manage AI
We believe AI should be embedded into the service, not handed off as another tool to manage. Synthesa gives clients the speed and scale of AI-enabled evidence synthesis without adding software adoption, workflow configuration, user training, or validation burden to their teams.
Built on scientific and analytical experience
Synthesa’s team has contributed to peer-reviewed publications and complex evidence synthesis projects across healthcare and medical research.
- Peer-reviewed validation studies
- 1,000,000+ abstracts screened
- 20,000+ outcomes meta-analysed
- Experience with large-scale screening projects
- Experience with frequentist and Bayesian meta-analysis
- Experience with systematic reviews and rapid evidence synthesis
Evidence synthesis support for healthcare and life sciences teams
CROs and medcomms agencies
Expand your evidence synthesis capacity without expanding your internal team. Synthesa provides expert-led support for abstract screening, systematic reviews, meta-analyses, network meta-analyses, and rapid evidence projects, helping agencies deliver rigorous outputs faster and manage high-volume or time-sensitive client work.
Pharma, biotech, and life sciences teams
Evidence synthesis designed for strategic medical and scientific decision-making. Synthesa supports medical strategy, publication planning, evidence gap assessment, scientific communications, and internal planning by translating complex literature into clear, structured, and actionable evidence.
Medical device and MedTech teams
Evidence synthesis for fragmented, heterogeneous, and fast-evolving device literature. Synthesa helps teams assess evidence gaps, understand the competitive and clinical landscape, and generate structured outputs to support medical, commercial, regulatory, or market access discussions.
Early-stage healthcare innovators
Rapid evidence clarity for teams building, positioning, or scaling new healthcare technologies. Synthesa helps early-stage companies understand the evidence landscape, identify gaps, support product strategy, strengthen investor and partner conversations, and plan the evidence generation needed for adoption and growth.
Need evidence synthesis delivered faster, with expert review?
Tell us about your project, evidence question, and timeline. We can help you decide whether to start with a free pilot, a defined work package, or a full evidence synthesis project.